<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:blogger='http://schemas.google.com/blogger/2008' xmlns:georss='http://www.georss.org/georss' xmlns:gd="http://schemas.google.com/g/2005" xmlns:thr='http://purl.org/syndication/thread/1.0'><id>tag:blogger.com,1999:blog-7702784355820145788</id><updated>2024-10-25T00:38:53.219+02:00</updated><category term="consejos"/><category term="Entrenar"/><category term="Rendimiento"/><category term="Salud"/><category term="Curiosidades"/><category term="Estética"/><category term="Perder peso"/><category term="Ganar músculo"/><category term="Fisiología"/><category term="Nuevas tendencias"/><category term="Proteínas"/><category term="Reflexiones"/><category term="Abdomen"/><category term="Hormonas"/><category term="Nutrición"/><category term="beneficios"/><category term="deporte"/><category term="Anatomía"/><category term="GPasióndeportiva"/><category term="horario"/><category term="presentación"/><category term="salto"/><title type='text'> LivingFit - Ponerse En Forma </title><subtitle type='html'>Búsqueda de la salud, el rendimiento,  la estética... consejos, ideas, noticias, opiniones y todo lo que necesitas saber si eres un apasionado de la autosuperación en el ámbito físico y algún día decidiste comenzar a cuidarte. Nuestro cuerpo es la base de todo lo que somos, ¿Por qué no prestarle un mínimo de atención? &#xa;&#xa;¡A PONERSE EN FORMA!</subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default?redirect=false'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/'/><link rel='hub' href='http://pubsubhubbub.appspot.com/'/><link rel='next' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default?start-index=26&amp;max-results=25&amp;redirect=false'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>30</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-988049274708257899</id><published>2013-10-03T16:31:00.001+02:00</published><updated>2013-10-03T16:35:39.281+02:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Curiosidades"/><category scheme="http://www.blogger.com/atom/ns#" term="Nutrición"/><category scheme="http://www.blogger.com/atom/ns#" term="Reflexiones"/><category scheme="http://www.blogger.com/atom/ns#" term="Salud"/><title type='text'>¿Más o menos comidas al día?</title><content type='html'>&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify; text-indent: 35.45pt; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Arial Narrow&#39;, sans-serif; font-size: 13.5pt;&quot;&gt;No es complicado, dentro del mundo del entrenamiento y
la nutrición, encontrarnos con ciertas cuestiones que nos hacen plantearnos si
verdaderamente hacemos las cosas bien. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify; text-indent: 35.45pt; vertical-align: baseline;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify; text-indent: 35.45pt; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Arial Narrow&#39;, sans-serif; font-size: 13.5pt;&quot;&gt;La frecuencia con la que ingerimos alimentos no es una
excepción, existen muchas opiniones contradictorias referentes a este tema. Al
final de esta entrada quizás se aclaren algunas cuestiones, aunque la decisión
difícilmente será extrapolable a todas las personas independientemente de su
condición física, edad, sexo, o características individuales. De tal forma,
algunas personas pueden presentar propensión a digestiones difíciles u otras
cuestiones que les llevarán a anteponer dichas particularidades a cualquier
otra conclusión extraída de las investigaciones científicas.&lt;/span&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 13.5pt;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify; text-indent: 35.45pt; vertical-align: baseline;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify; text-indent: 35.45pt; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Arial Narrow&#39;, sans-serif; font-size: 13.5pt;&quot;&gt;Antes de presentar la fantástica reflexión del gran
Brad Schoenfeld acerca de la repercusión de la frecuencia alimentaria quiero
explicar que está enfocada a personas que entrenan para mejorar su composición
corporal, es decir, individuos entrenados, deportistas o que realizan cierta
actividad física vigorosa para conseguir sus objetivos.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; vertical-align: baseline;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; vertical-align: baseline;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial Narrow&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 19.5pt; mso-bidi-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES; mso-font-kerning: 18.0pt;&quot;&gt;¿Qué es mejor 3 o 6 comidas al día?&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; vertical-align: baseline;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; vertical-align: baseline;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; vertical-align: baseline;&quot;&gt;
&lt;i&gt;&lt;span style=&quot;border: none windowtext 1.0pt; color: #ffa800; font-family: &amp;quot;Arial Narrow&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 16.5pt; mso-bidi-font-family: Arial; mso-border-alt: none windowtext 0cm; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES; padding: 0cm;&quot;&gt;Lo que
necesitas saber…&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/i&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 15.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 15.0pt; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;color: #ffa800; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;•&lt;/span&gt;&lt;span style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;La ciencia no respalda
la idea de que comer más frecuentemente&amp;nbsp;incremente la tasa metabólica.&lt;/span&gt;&lt;span style=&quot;color: #ffa800; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 15.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 15.0pt; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;color: #ffa800; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;•&lt;/span&gt;&lt;span style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Existe evidencia de
que hacer múltiples ingestas pequeñas de alimentos puede incrementar la
síntesis proteíca, pero esto solo se ha demostrado en casos en los que las
dosis de proteína son muy bajas.&lt;/span&gt;&lt;span style=&quot;color: #ffa800; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 15.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 15.0pt; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;color: #ffa800; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;•&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Es mejor experimentar
con diferentes frecuencias de comidas y ver qué es lo más conveniente para cada
persona. Por encima de todo, es necesario elegir una frecuencia de alimentación
que se adapte al estilo de vida.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Habrás oído
afirmar que comer poco y frecuentemente es la clave para mantenerse en forma.
Acelera el metabolismo, satisface el hambre y promueve un mejor control de la
glucosa. Al menos es lo que la “sabiduría de gimnasio” siempre nos ha hecho
creer.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;¿Respalda la
ciencia la práctica de repartir las comidas a lo largo del día? &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Veamos
algunas investigaciones. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;METABOLISMO&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Los
defensores de comer comidas con frecuencia afirman que ayuda a &quot;acelerar
el metabolismo&quot;. Esto se basa en la teoría del punto de ajuste (setpoint),
el cual dicta que tu cuerpo se esfuerza por mantener suficiente energía (es
decir, grasa corporal) para sobrevivir a la próxima hambruna. Así que cuando
estás sin comer durante más de unas pocas horas, el cuerpo siente la privación
y cambia al &quot;modo de hambre&quot;, entonces parte de la respuesta del
hambre consiste en disminuir el gasto energético en reposo. En efecto, el
cuerpo ralentiza su tasa metabólica para conservar la energía.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Si bien
estas declaraciones pueden sonar lógicas a simple vista, hay poca evidencia que
apoye que en realidad ocurra así.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;&amp;nbsp;LeBlanc et al. (1) encontraron que los perros
alimentados con cuatro pequeñas comidas duplicaron la respuesta termogénica en
comparación a comer el mismo número de las calorías totales en una sola comida
más grande. Un estudio de seguimiento realizado por los mismos investigadores
encontraron que los humanos también experimentan mayor termogénesis con alimentaciones
más frecuentes (2).&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;!--[if gte vml 1]&gt;&lt;v:shapetype id=&quot;_x0000_t75&quot; coordsize=&quot;21600,21600&quot;
 o:spt=&quot;75&quot; o:preferrelative=&quot;t&quot; path=&quot;m@4@5l@4@11@9@11@9@5xe&quot; filled=&quot;f&quot;
 stroked=&quot;f&quot;&gt;
 &lt;v:stroke joinstyle=&quot;miter&quot;/&gt;
 &lt;v:formulas&gt;
  &lt;v:f eqn=&quot;if lineDrawn pixelLineWidth 0&quot;/&gt;
  &lt;v:f eqn=&quot;sum @0 1 0&quot;/&gt;
  &lt;v:f eqn=&quot;sum 0 0 @1&quot;/&gt;
  &lt;v:f eqn=&quot;prod @2 1 2&quot;/&gt;
  &lt;v:f eqn=&quot;prod @3 21600 pixelWidth&quot;/&gt;
  &lt;v:f eqn=&quot;prod @3 21600 pixelHeight&quot;/&gt;
  &lt;v:f eqn=&quot;sum @0 0 1&quot;/&gt;
  &lt;v:f eqn=&quot;prod @6 1 2&quot;/&gt;
  &lt;v:f eqn=&quot;prod @7 21600 pixelWidth&quot;/&gt;
  &lt;v:f eqn=&quot;sum @8 21600 0&quot;/&gt;
  &lt;v:f eqn=&quot;prod @7 21600 pixelHeight&quot;/&gt;
  &lt;v:f eqn=&quot;sum @10 21600 0&quot;/&gt;
 &lt;/v:formulas&gt;
 &lt;v:path o:extrusionok=&quot;f&quot; gradientshapeok=&quot;t&quot; o:connecttype=&quot;rect&quot;/&gt;
 &lt;o:lock v:ext=&quot;edit&quot; aspectratio=&quot;t&quot;/&gt;
&lt;/v:shapetype&gt;&lt;v:shape id=&quot;Imagen_x0020_1&quot; o:spid=&quot;_x0000_s1028&quot; type=&quot;#_x0000_t75&quot;
 style=&#39;position:absolute;left:0;text-align:left;margin-left:3.2pt;
 margin-top:2.15pt;width:212.15pt;height:219.35pt;z-index:251658240;
 visibility:visible;mso-wrap-distance-left:9pt;mso-wrap-distance-top:0;
 mso-wrap-distance-right:9pt;mso-wrap-distance-bottom:0;
 mso-position-horizontal:absolute;mso-position-horizontal-relative:text;
 mso-position-vertical:absolute;mso-position-vertical-relative:text&#39; o:gfxdata=&quot;UEsDBBQABgAIAAAAIQA0Ev94FAEAAFACAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbKSSy07DMBBF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&quot;&gt;
 &lt;v:imagedata src=&quot;file:///C:\Users\Patricio\AppData\Local\Temp\msohtmlclip1\01\clip_image001.png&quot;
  o:title=&quot;&quot;/&gt;
 &lt;w:wrap type=&quot;square&quot;/&gt;
&lt;/v:shape&gt;&lt;![endif]--&gt;&lt;!--[if !vml]--&gt;&lt;!--[endif]--&gt;&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;/div&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Por otro
lado, muchos otros estudios no han podido demostrar que la frecuencia de
comidas tenga un efecto tangible sobre el gasto energético (3-7). Vemos que la
mayoría de la evidencia científica no apoya que se incremente el metabolismo
como resultado de la partición de la ingesta de nutrientes a través de
múltiples comidas.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;La lógica
básica se opondría a cualquier aumento del efecto de comer con frecuencia en la
termogénesis dietética. Las mejoras termogénicas de las comidas frecuentes se
atribuyen generalmente al efecto térmico de los alimentos (TEF).&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Simplemente,
el TEF es la energía gastada en forma de calor resultante de la digestión de
las fuentes de alimentos. Los distintos macronutrientes tienen diferentes
efectos térmicos, la proteína provoca el mayor gasto de energía y la grasa el
menor. El TEF de una comida típica mixta se estima en alrededor de 10% de las
calorías consumidas.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Con este
trasfondo, echemos un vistazo a cómo la partición de las comidas afectaría al
TEF en una dieta de 2.400 calorías al día. Si comes tres comidas de 800
calorías, el TEF sería 80 calorías por comida. Multiplicando esto por el número
de comidas diarias (tres) se llega a un TEF total de 240 calorías.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Ahora bien,
si se va a consumir la misma dieta de 2.400 calorías en seis comidas, la TEF
sería 40 calorías por comida. Haciendo cálculos terminamos con las mismas 240
calorías adicionales quemadas al igual que en la dieta de tres comidas al día.
Suponiendo que el contenido de macronutrientes y calorías totales permanecen
constantes, ¡No hay diferencia en la termogénesis! &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;HAMBRE Y APETITO&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Los
defensores de las comidas frecuentes a menudo afirman que contribuye a
controlar el apetito y el hambre. Está bien documentado que el control de peso
es principalmente una función de balance de energía - si ingieres más calorías
de las que gastas ganarás peso, crea un déficit de calorías y perderás peso.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://4.bp.blogspot.com/-lOv2VDE4jto/Uk1_TrNQT2I/AAAAAAAABcg/65LYDW_q0uU/s1600/como-comer-correctamente-y-montar-un-plato-saludable-en-un-restaurante-buffet1.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; src=&quot;http://4.bp.blogspot.com/-lOv2VDE4jto/Uk1_TrNQT2I/AAAAAAAABcg/65LYDW_q0uU/s1600/como-comer-correctamente-y-montar-un-plato-saludable-en-un-restaurante-buffet1.jpg&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://2.bp.blogspot.com/-Lsyky1S-KmA/Uk1_WvvqfCI/AAAAAAAABco/Y_edk7OYNbk/s1600/images.jpg&quot; imageanchor=&quot;1&quot; style=&quot;clear: right; float: right; margin-bottom: 1em; margin-left: 1em;&quot;&gt;&lt;br /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Se postula que hay una tendencia a
la hipoglucemia (nivel bajo de azúcar en la sangre) en los periodos
post-prandial (después de comer) asociados a las comidas poco frecuentes. En un
intento de restaurar el azúcar en la sangre, tu cuerpo advierte al hipotálamo
que necesita alimentos, especialmente hidratos de carbono simples. Llega la sensación
de hambre y se acaban comiendo más (a menudo en forma de dulces refinados) de
lo que se habría hecho con comidas más pequeñas. Esto crea un círculo vicioso
de comer en exceso y secreciones de insulina incontroladas – un camino asegurado
para el aumento de peso no deseado.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Sin embargo,
la investigación no parece apoyar estas afirmaciones altivas tampoco. Mientras
que algunos estudios han informado de que los sujetos no estaban tan
hambrientos cuando las comidas estaban espaciadas a lo largo del &amp;nbsp;día (8-11), otros &amp;nbsp;no han podido detectar
diferencias en los índices de apetito y el hambre, independientemente de la frecuencia
de alimentación (12, 13).&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;De hecho,
algunos estudios han encontrado que el consumo de tres en lugar de seis comidas
diarias en realidad promueve una mayor sensación de saciedad (6, 14). Es más,
la evidencia es contradictoria sobre cómo el número de comidas consumidas
afecta a las hormonas relacionadas con el hambre (13, 15). En su conjunto, la
creencia de que satisface más la ingesta de nutrientes de manera separada es
ambigua probablemente esté relacionado con factores individuales.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;NIVELES DE INSULINA&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Otra
afirmación citada a menudo para apoyar la partición de las comidas durante todo
el día es que tiene un efecto &quot;insulino-amigable&quot;. De acuerdo a la
hipótesis, comer pocas comidas en grandes cantidades causa un aumento en el
azúcar sanguíneo, que a su vez conduce a un pico en los niveles de insulina.
Dado su papel como hormona de almacenamiento, los grandes picos de insulina
cambian los mecanismos que aumentan la acumulación de grasa. Suena mal, pero la
validez de estas alegaciones son inconsistentes.
&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Una serie de
estudios han demostrado que el consumo de comidas más frecuentes producen un
efecto favorable sobre la homeostasis de la glucosa (16-20). Esto se traduce
siempre en una reducción de los picos de insulina y concentraciones medias de
insulina inferiores. Pero la pregunta principal aquí es, ¿Son importantes estos
hallazgos? Desde un punto de vista de la pérdida de grasa, la respuesta parece
no ser realmente relevante.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://2.bp.blogspot.com/-IPWHP3tchOQ/Uk1_loUry_I/AAAAAAAABcw/P3u7kDte-Vw/s1600/original5_figura4.jpg&quot; imageanchor=&quot;1&quot; style=&quot;clear: left; float: left; margin-bottom: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; src=&quot;http://2.bp.blogspot.com/-IPWHP3tchOQ/Uk1_loUry_I/AAAAAAAABcw/P3u7kDte-Vw/s1600/original5_figura4.jpg&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Munsters et
al. (21) encontraron que mientras que las comidas frecuentes producen picos
significativamente más bajos y más aún de glucosa y valores de insulina en
comparación con un menor número de alimentaciones, no hubo diferencia en la
oxidación de grasas entre los grupos. Simplemente, los dos patrones de
alimentación resultaron en la misma cantidad de grasa quemada.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Este estudio fue notable por su metodología
rigurosamente controlada. Los investigadores emplearon un diseño cruzado donde
los mismos sujetos consumieron ambas dietas y los mismos tipos y cantidades
exactas de alimentos. Es más, los sujetos eran adultos con porcentajes grasos
bajos y saludables, Por lo tanto más relevante para aquellos que regularmente
entrenan.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;La conclusión es que quienes se fijan en los efectos
insulinémicos para la pérdida o acumulación de grasa en poblaciones sanas tiene
la vista puesta en el premio equivocado: el enemigo es el exceso de calorías,
no de insulina.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;COMPOSICIÓN CORPORAL&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;!--[if gte vml 1]&gt;&lt;v:shape id=&quot;Imagen_x0020_4&quot; o:spid=&quot;_x0000_s1026&quot;
 type=&quot;#_x0000_t75&quot; style=&#39;position:absolute;left:0;text-align:left;
 margin-left:158.65pt;margin-top:38.6pt;width:243.35pt;height:174.25pt;
 z-index:251660288;visibility:visible;mso-wrap-distance-left:9pt;
 mso-wrap-distance-top:0;mso-wrap-distance-right:9pt;
 mso-wrap-distance-bottom:0;mso-position-horizontal:absolute;
 mso-position-horizontal-relative:text;mso-position-vertical:absolute;
 mso-position-vertical-relative:text&#39; o:gfxdata=&quot;UEsDBBQABgAIAAAAIQDI4TOSFQEAAFICAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbKSSTW7DIBCF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&quot;&gt;
 &lt;v:imagedata src=&quot;file:///C:\Users\Patricio\AppData\Local\Temp\msohtmlclip1\01\clip_image007.png&quot;
  o:title=&quot;&quot;/&gt;
 &lt;w:wrap type=&quot;square&quot;/&gt;
&lt;/v:shape&gt;&lt;![endif]--&gt;&lt;!--[if !vml]--&gt;&lt;a href=&quot;http://2.bp.blogspot.com/-Lsyky1S-KmA/Uk1_WvvqfCI/AAAAAAAABco/Y_edk7OYNbk/s1600/images.jpg&quot; imageanchor=&quot;1&quot; style=&quot;clear: right; float: right; margin-bottom: 1em; margin-left: 1em; text-align: center;&quot;&gt;&lt;img border=&quot;0&quot; src=&quot;http://2.bp.blogspot.com/-Lsyky1S-KmA/Uk1_WvvqfCI/AAAAAAAABco/Y_edk7OYNbk/s1600/images.jpg&quot; /&gt;&lt;/a&gt;&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;La evaluación de los efectos agudos
de las comidas frecuentes puede dar pistas interesantes en cuanto a posibles
consecuencias de este planteamiento. Sin embargo, la única cosa que nos importa
en última instancia es si comer con más frecuencia mejora la composición
corporal. Aquí es donde las cosas se ponen un poco complicadas.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;El estudio
más citado por los defensores de comidas frecuentes se realizó con boxeadores
de competición a los que se les puso una dieta de 1,200 calorías por dos
semanas (22). Un grupo consumió las calorías en forma de dos comidas diarias,
mientras que el otro grupo divididas, comiendo más de seis veces al día.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Al final del
estudio, el grupo de alimentación frecuente conservó una mayor cantidad de masa
corporal magra en comparación con el grupo de dos comidas al día aunque la
pérdida de peso total fue similar entre los grupos. Si bien estos resultados
son interesantes, hay que señalar que el período de estudio fue muy corto. Si
esos resultados continuarán a largo plazo es especulativo.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Es más, la
ingesta total de proteína fue de sólo 60 gramos al día - una cantidad muy por
debajo de lo que cualquier atleta entrenando duro requeriría para evitar el
catabolismo muscular. Estas limitaciones hacen que sea difícil sacar
conclusiones firmes sobre el tema.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Un estudio
reciente realizado por Arciero et al. (23) parece apoyar, además, una mayor
frecuencia de comidas diaria. En pocas palabras, el estudio empleó un diseño
complejo donde dos de los grupos consumieron una dieta alta en proteínas que
asciende a 35% del total de calorías de tres o seis comidas al día durante
aproximadamente dos meses. Ambos grupos mostraron aproximadamente la misma
cantidad de la pérdida de grasa (2.5 kilogramos para las tres comidas frente a
2,7 kilogramos para los seis comidas). No hay problema aquí.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Sin embargo,
el grupo que consumió las comidas frecuentes en realidad ganó masa muscular
(0.6 kilogramos), frente a una pérdida de masa magra en el grupo que comió tres
comidas diarias (-0,9 kg). Sin duda nada despreciable.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Una vez más,
los resultados deben tomarse con cautela. En este caso, los sujetos eran
mujeres con sobrepeso que no realizaban ningún ejercicio. Si se pueden observar
resultados similares en personas que entrenan,&amp;nbsp;es una incógnita.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Además,
parece curioso que la frecuencia tuviera un impacto tan severo en el aumento de
la masa magra dado que los efectos anabólicos de consumo de proteínas se han
demostrado que tienen una duración de hasta seis horas (24). Esto plantea dudas
sobre la validez de las mediciones de la composición corporal en este estudio.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 2.25pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;En oposición a las conclusiones antes mencionadas,
varios otros estudios no han mostrado beneficios en la composición corporal al
consumir comidas más frecuentes (13, 25). De hecho, un estudio bien diseñado
por Stote et al. (8) encontró que un grupo de adultos de mediana edad con peso
normal perdió más grasa corporal después de un régimen de una sola comida al
día en comparación con comer la misma cantidad de calorías espaciadas a lo
largo de las tres comidas diarias.&lt;/span&gt;&lt;span style=&quot;background-color: black; background-position: initial initial; background-repeat: initial initial; border: 1pt none black; font-family: &#39;Times New Roman&#39;, serif; font-size: 0pt; padding: 0cm;&quot;&gt; &lt;span lang=&quot;X-NONE&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 2.25pt; text-align: justify; vertical-align: baseline;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Entonces, ¿Qué podemos deducir de la investigación con respecto a la
frecuencia de las comidas?&lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;&amp;nbsp;• Las afirmaciones que sugieren el aumento del
gasto metabólico por la repartición de las comidas a lo largo del día son
bastante exageradas. La investigación en la materia es muy discrepante y deja
más preguntas que respuestas.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;• Existe cierta evidencia de que
hacer numerosas comidas en pequeñas cantidades puede tener un impacto positivo
en el incremento de la síntesis proteíca (22, 26, 27), pero solo se ha
demostrado en casos en los que la ingesta de proteína era muy baja. Es muy
especulativo afirmar que esto también será cierto cuando se consuman las
cantidades recomendadas para deportistas de fuerza y personas que entrenan
intensamente.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;• Si eres un culturista que busca ganar
una competición incluso pequeñas mejoras en la composición corporal pueden
significar la diferencia entre la victoria y la derrota. Si tu meta es reducir
los niveles de grasa corporal al mínimo mientras conservas la masa muscular el
mejor consejo es experimentar con diferentes frecuencias de alimentación y ver
qué funciona mejor para ti. La variabilidad individual siempre tiene un gran
impacto en los resultados óptimos. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;•&amp;nbsp;&amp;nbsp;&amp;nbsp;
Así que elige una frecuencia de comidas que se adapte a tu forma de vida.
Si te gusta comer frecuentemente a lo largo del día, hazlo. O si en cambio
prefieres consumir grandes cantidades en pocas ocasiones también es una opción
viable. &lt;/span&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;If you like the regimentation of eating frequently throughout the day, then
go for it. On the other hand, if you prefer consuming just a few large daily
meals, that&#39;s a viable option as well. &lt;/span&gt;&lt;span style=&quot;font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Sólo sé coherente con tu enfoque, hay cierta evidencia
de que los patrones de alimentación irregulares pueden alterar negativamente la
función metabólica (28, 29).&lt;/span&gt;&lt;span style=&quot;font-family: &amp;quot;Arial Narrow&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 16.5pt; mso-bidi-font-family: Arial; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;&lt;br /&gt;
&lt;!--[if !supportLineBreakNewLine]--&gt;&lt;br /&gt;
&lt;!--[endif]--&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;font-family: &amp;quot;Arial Narrow&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 16.5pt; mso-ansi-language: EN-US; mso-bidi-font-family: Arial; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;REFERENCIAS:&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;1. LeBlanc J, Diamond P. Effect of meal size and frequency on postprandial
thermogenesis in dogs. Am J Physiol. 1986 Feb;250(2 Pt 1):E144-7.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;2. LeBlanc J, Mercier I, Nadeau A. Components of postprandial thermogenesis
in relation to meal frequency in humans. Can J Physiol Pharmacol. 1993
Dec;71(12):879-83.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;3. Verboeket-van de Venne WP, Westerterp KR. Influence of the feeding
frequency on nutrient utilization in man: Consequences for energy metabolism.
Eur J Clin Nutr. 1991 Mar;45(3):161-9.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;4. Taylor MA, Garrow JS. Compared with nibbling, neither gorging nor a
morning fast affect short-term energy balance in obese patients in a chamber
calorimeter. Int J Obes Relat Metab Disord. 2001 Apr;25(4):519-28.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;5. Kinabo JL, Durnin JV. Effect of meal frequency on the thermic effect of
food in women. Eur J Clin Nutr. 1990 May;44(5):389-95.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;6. Ohkawara K, Cornier MA, Kohrt WM, Melanson EL. Effects of increased meal
frequency on fat oxidation and perceived hunger. Obesity (Silver Spring). 2013
Feb;21(2):336-43.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;7. Hill JO, Anderson JC, Lin D, Yakubu F. Effects of meal frequency on
energy utilization in rats. Am J Physiol. 1988 Oct;255(4 Pt 2):R616-21.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;8. Stote KS, Baer DJ, Spears K, Paul DR, Harris GK, Rumpler WV, et al. A
controlled trial of reduced meal frequency without caloric restriction in
healthy, normal-weight, middle-aged adults. Am J Clin Nutr. 2007
Apr;85(4):981-8.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;9. Speechly DP, Rogers GG, Buffenstein R. Acute appetite reduction
associated with an increased frequency of eating in obese males. Int J Obes
Relat Metab Disord. 1999 Nov;23(11):1151-9.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;10. Speechly DP, Buffenstein R. Greater appetite control associated with an
increased frequency of eating in lean males. Appetite. 1999 Dec;33(3):285-97.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;11. Smeets AJ, Westerterp-Plantenga MS. Acute effects on metabolism and
appetite profile of one meal difference in the lower range of meal frequency.
Br J Nutr. 2008 Jun;99(6):1316-21.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;12. Leidy HJ, Tang M, Armstrong CL, Martin CB, Campbell WW. The effects of
consuming frequent, higher protein meals on appetite and satiety during weight
loss in overweight/obese men. Obesity (Silver Spring). 2011 Apr;19(4):818-24.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;13. Cameron JD, Cyr MJ, Doucet E. Increased meal frequency does not promote
greater weight loss in subjects who were prescribed an 8-week equi-energetic
energy-restricted diet. Br J Nutr. 2010 Apr;103(8):1098-101.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;14. Leidy HJ, Armstrong CL, Tang M, Mattes RD, Campbell WW. The influence
of higher protein intake and greater eating frequency on appetite control in
overweight and obese men. Obesity (Silver Spring). 2010 Sep;18(9):1725-32.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;15. Solomon TP, Chambers ES, Jeukendrup AE, Toogood AA, Blannin AK. The
effect of feeding frequency on insulin and ghrelin responses in human subjects.
Br J Nutr. 2008 Oct;100(4):810-9.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;16. Jenkins DJ, Wolever TM, Vuksan V, Brighenti F, Cunnane SC, Rao AV, et
al. Nibbling versus gorging: Metabolic advantages of increased meal frequency.
N Engl J Med. 1989 Oct 5;321(14):929-34.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;17. Jenkins DJ, Ocana A, Jenkins AL, Wolever TM, Vuksan V, Katzman L, et
al. Metabolic advantages of spreading the nutrient load: Effects of increased
meal frequency in non-insulin-dependent diabetes. Am J Clin Nutr. 1992
Feb;55(2):461-7.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;18. Arnold LM, Ball MJ, Duncan AW, Mann J. Effect of isoenergetic intake of
three or nine meals on plasma lipoproteins and glucose metabolism. Am J Clin
Nutr. 1993 Mar;57(3):446-51.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;19. Bertelsen J, Christiansen C, Thomsen C, Poulsen PL, Vestergaard S,
Steinov A, et al. Effect of meal frequency on blood glucose, insulin, and free
fatty acids in NIDDM subjects. Diabetes Care. 1993 Jan;16(1):4-7.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;20. Rashidi MR, Mahboob S, Sattarivand R. Effects of nibbling and gorging
on lipid profiles, blood glucose and insulin levels in healthy subjects. Saudi
Med J. 2003 Sep;24(9):945-8.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;21. Munsters MJ, Saris WH. Effects of meal frequency on metabolic profiles
and substrate partitioning in lean healthy males. PLoS One. 2012;7(6):e38632.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;22. Iwao S, Mori K, Sato Y. Effects of meal frequency on body composition
during weight control in boxers. Scand J Med Sci Sports. 1996 Oct;6(5):265-72.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;23. Arciero PJ, Ormsbee MJ, Gentile CL, Nindl BC, Brestoff JR, Ruby M.
Increased protein intake and meal frequency reduces abdominal fat during energy
balance and energy deficit. Obesity (Silver Spring). 2013 Jul;21(7):1357-66.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;24. Aragon AA, Schoenfeld BJ. Nutrient timing revisited: Is there a
post-exercise anabolic window? J Int Soc Sports Nutr. 2013 Jan
29;10(1):5,2783-10-5.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;25. Finkelstein B, Fryer BA. Meal frequency and weight reduction of young
women. Am J Clin Nutr. 1971 Apr;24(4):465-8.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;26. Areta JL, Burke LM, Ross ML, Camera DM, West DW, Broad EM, et al.
Timing and distribution of protein ingestion during prolonged recovery from
resistance exercise alters myofibrillar protein synthesis. J Physiol. 2013 May
1;591(Pt 9):2319-31.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://www.blogger.com/blogger.g?blogID=7702784355820145788&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;/a&gt;&lt;/div&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;27. Garrow JS, Durrant M, Blaza S, Wilkins D, Royston P, Sunkin S. The
effect of meal frequency and protein concentration on the composition of the
weight lost by obese subjects. Br J Nutr. 1981 Jan;45(1):5-15.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;28. Farshchi HR, Taylor MA, Macdonald IA. Beneficial metabolic effects of
regular meal frequency on dietary thermogenesis, insulin sensitivity, and
fasting lipid profiles in healthy obese women. Am J Clin Nutr. 2005
Jan;81(1):16-24.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; vertical-align: baseline;&quot;&gt;
&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;line-height: 18.0pt; margin-bottom: 18.0pt; margin-left: 0cm; margin-right: 0cm; margin-top: 18.0pt; vertical-align: baseline;&quot;&gt;
&lt;span lang=&quot;EN-US&quot; style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-ansi-language: EN-US; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;29. Farshchi HR, Taylor MA, Macdonald IA. Decreased thermic effect of food
after an irregular compared with a regular meal pattern in healthy lean women. &lt;/span&gt;&lt;span style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Int J Obes Relat Metab
Disord. 2004 May;28(5):653-60.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;br /&gt;
&lt;span style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;&lt;br /&gt;&lt;/span&gt;
&lt;span style=&quot;color: #999999; font-family: &amp;quot;Arial&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 12.0pt; mso-fareast-font-family: &amp;quot;Times New Roman&amp;quot;; mso-fareast-language: ES;&quot;&gt;Fuente original del artículo:&lt;/span&gt;&lt;a href=&quot;http://www.t-nation.com/diet-fat-loss/whats-best-3-or-6-meals-per-day#.UkylbQms8Cs.facebook&quot; style=&quot;line-height: 18pt;&quot;&gt;http://www.t-nation.com/diet-fat-loss/whats-best-3-or-6-meals-per-day#.UkylbQms8Cs.facebook&lt;/a&gt;&lt;/div&gt;
</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/988049274708257899/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2013/10/mas-o-menos-comidas-al-dia.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/988049274708257899'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/988049274708257899'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2013/10/mas-o-menos-comidas-al-dia.html' title='¿Más o menos comidas al día?'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://4.bp.blogspot.com/-lOv2VDE4jto/Uk1_TrNQT2I/AAAAAAAABcg/65LYDW_q0uU/s72-c/como-comer-correctamente-y-montar-un-plato-saludable-en-un-restaurante-buffet1.jpg" height="72" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-255722688829959436</id><published>2013-04-25T20:21:00.001+02:00</published><updated>2016-03-09T16:04:17.474+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Abdomen"/><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Entrenar"/><category scheme="http://www.blogger.com/atom/ns#" term="Estética"/><category scheme="http://www.blogger.com/atom/ns#" term="Ganar músculo"/><category scheme="http://www.blogger.com/atom/ns#" term="Reflexiones"/><category scheme="http://www.blogger.com/atom/ns#" term="Rendimiento"/><title type='text'>¿Corres para adelgazar? </title><content type='html'>Mucha operación bikini, mucha gente corriendo pero... ¿¿Realmente queremos &lt;b&gt;mejorar nuestra composición corporal&lt;/b&gt; o salimos a correr por&lt;b&gt; amor al running&lt;/b&gt;??&lt;br /&gt;
&lt;br /&gt;
Parece ser que&lt;b&gt; haciendo sprints&lt;/b&gt; se &lt;b&gt;pierde más grasa&lt;/b&gt; con una menor inversión de tiempo (gran reducción en la &lt;b&gt;zona abdominal y visceral&lt;/b&gt;), se mejora la eficiencia metabólica, la &lt;b&gt;capacidad de oxidación lipídica&lt;/b&gt;, la&lt;b&gt; respuesta anabólica es mayor&lt;/b&gt; y no eleva el cortisol como realizar carrera continua durante períodos largos de tiempo... también se enfatiza el trabajo de las&lt;b&gt; fibras rápidas&lt;/b&gt;, aumenta la capacidad de tamponamiento muscular, eleva el potencial de almacenamiento de glucógeno en el músculo, aumenta la sensibilidad a la insulina, &lt;b&gt;activa&lt;/b&gt; en gran medida&lt;b&gt; los músculos abdominales&lt;/b&gt;, se consiguen mejoras en el rendimiento aeróbico...&lt;br /&gt;
&lt;br /&gt;
Me resulta &lt;b&gt;más interesante&lt;/b&gt; para mejorar mi composición corporal (&lt;b&gt;no perder masa muscular, incluso aumentarla y reducir % graso&lt;/b&gt;) dedicarme a &lt;b&gt;hacer series de sprints durante 10 o 20 minutitos que echarme a correr durante una hora o más a trote cansino. Sin embargo, como todo en este mundo es relativo, debemos enmarcarnos en un perfil, un nivel de condición física y unas posibilidades. No todo el mundo puede aprovechar estos tipos de entrenamientos desde el primer momento.&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
Si lo que quieres es lucir en verano... &lt;b&gt;Entrenamiento de la fuerza y velocidad SI&lt;/b&gt;. &lt;b&gt;Carrera contínua y ejercicios de abdominales &quot;típicos&quot; no tanto...&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://runningwithmarissa.files.wordpress.com/2012/03/sprinter.jpg?w=640&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; src=&quot;http://runningwithmarissa.files.wordpress.com/2012/03/sprinter.jpg?w=640&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;div style=&quot;text-align: center;&quot;&gt;
&lt;b&gt;Tú eliges&lt;/b&gt; el cuerpo que quieres tener.&lt;/div&gt;
&lt;br /&gt;
PD:&lt;br /&gt;
Cabe destacar que el trabajo aeróbico en todas sus facetas, presenta múltiples beneficios, algunos de ellos imprescindibles para sentar las bases de un futuro trabajo de mayor intensidad.&lt;br /&gt;
&lt;br /&gt;
&lt;u&gt;Referencias:&lt;/u&gt;&lt;br /&gt;
- Heydari, M., Freud, J., et al. The Effect of High-Intensity Intermittent Exercise on Body Composition of Overweight Young Males. Journal of Obesity. 2012.&lt;br /&gt;
- Smith AA, Toone RJ, Peacock O, Drawer S, Stokes KA, Cook CJ.&lt;br /&gt;
Dihydrotestosterone is Elevated Following Sprint Exercise in Healthy Young Men. J&lt;br /&gt;
Appl Physiol. 2013 Mar 7.&lt;br /&gt;
- Irving BA, Davis CK, Brock DW, Weltman JY, Swift D, Barrett EJ, Gaesser GA,&lt;br /&gt;
Weltman A. Effect of exercise training intensity on abdominal visceral fat and&lt;br /&gt;
body composition. Med Sci Sports Exerc. 2008 Nov;40(11):1863-72.&lt;br /&gt;
- Talanian JL, Galloway SD, Heigenhauser GJ, Bonen A, Spriet LL. Two weeks of&lt;br /&gt;
high-intensity aerobic interval training increases the capacity for fat oxidation&lt;br /&gt;
during exercise in women. J Appl Physiol. 2007 Apr;102(4):1439-47.&lt;br /&gt;
- Ismail, I., Keating, S., et al. A Systematic Review and Meta-Analysis of the Effect of Aerobic Vs. Resistance Exercise Training on Visceral Fat. Obesity Reviews. 2012. 13, 68-91.&lt;br /&gt;
-Trapp, E., Chisholm, D., et al. The Effects of High-Intensity Intermittent Exercise Training on Fat Loss and Fasting Insulin Levels of Young Women. International Journal of Obesity. 2008. 32(4), 684-691&lt;br /&gt;
&lt;br /&gt;</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/255722688829959436/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2013/04/corres-para-adelgazar.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/255722688829959436'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/255722688829959436'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2013/04/corres-para-adelgazar.html' title='¿Corres para adelgazar? '/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-8541691932649403131</id><published>2013-02-12T23:10:00.001+01:00</published><updated>2013-02-12T23:10:10.355+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Curiosidades"/><category scheme="http://www.blogger.com/atom/ns#" term="Nutrición"/><category scheme="http://www.blogger.com/atom/ns#" term="Proteínas"/><category scheme="http://www.blogger.com/atom/ns#" term="Salud"/><title type='text'>La necesidad de cocinar el huevo</title><content type='html'>&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;Desde hace ya bastantes años sé que los aminoácidos de los huevos se digieren mejor si se cocinan, pero nunca supe exactamente por qué es inútil e incluso contraproducente (en términos de absorción de aminoácidos) comer huevos crudos...&lt;/span&gt;&lt;br style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot; /&gt;&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;Había oído/leído hacía tiempo que no se podía asimilar las ovoalbúminas crudas, sin desnaturalizar, pero no es exactamente la cuestión... la incapacidad se haya en la presencia de inhibidores de proteasas en el huevo, la desnaturalización de estos inhibidores (sobre todo la familia Bowman-Birk) sí es la clave para una absorción óptima.&lt;/span&gt;&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://ella.laprensagrafica.com/wp-content/uploads/2012/07/huevo-fresco.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;214&quot; src=&quot;http://ella.laprensagrafica.com/wp-content/uploads/2012/07/huevo-fresco.jpg&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot; /&gt;&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;PD: estos inhibidores de proteasas no solo están en el huevo sino que se encuentran en muchos alimentos cotidianos que no solemos germinar, fermentar o calentar para eliminar gran parte de la actividad de este inhibidor como los productos lácteos, las semillas de legumbres o las papas.&lt;/span&gt;&lt;br style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot; /&gt;&lt;a href=&quot;http://www.scielo.org.co/pdf/bsaa/v7n1/v7n1a07.pdf&quot; rel=&quot;nofollow nofollow&quot; style=&quot;background-color: white; color: #3b5998; cursor: pointer; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px; text-decoration: initial;&quot; target=&quot;_blank&quot;&gt;http://www.scielo.org.co/pdf/bsaa/v7n1/v7n1a07.pdf&lt;/a&gt;</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/8541691932649403131/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2013/02/la-necesidad-de-cocinar-el-huevo.html#comment-form' title='1 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/8541691932649403131'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/8541691932649403131'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2013/02/la-necesidad-de-cocinar-el-huevo.html' title='La necesidad de cocinar el huevo'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-8102099190799509249</id><published>2013-01-31T15:45:00.000+01:00</published><updated>2013-01-31T15:45:11.616+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Reflexiones"/><title type='text'>El poder de la incertidumbre</title><content type='html'>&lt;br /&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
¿Quién me puede decir a ciencia cierta que todo lo que sabe
es inmutable, que no hay verdad más allá, o que tiene total certeza de que no
hay mejor forma de hacer algo?&amp;nbsp;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;br /&gt;
Tendemos a creer y tomar como verdaderas las primeras asociaciones lógicas&amp;nbsp; (y no tan lógicas) que nos llegan o nos
enseñan… Así contaminamos nuestra posibilidad de descubrir. El potencial de
pensamiento alternativo se deprime cada vez que aprendemos sin pensar, sin
dudar.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&amp;nbsp;NOS ENCERRAMOS en
“relidades”, por estar cómodos en ellas sin tener que calentarnos demasiado la
cabeza porque alguien “más listo o más preparado” que nosotros así lo ha
entendido. &lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
Este es, a mi humilde parecer, un gran mal del ser humano.&amp;nbsp; Imaginad dónde estaríamos ahora si todas las
personas, y no solo unos pocos genios inquietos e inconformistas, tuvieran el
gusanillo de debatir lo establecido, no limitándose a aceptar sin rechistar. Si
cada uno se armara de espíritu investigador,&amp;nbsp;
convirtiéndose en alguien que quiere la verdad, SU VERDAD, encontrarle
el sentido a las cosas por sí mismo, sin condicionamientos, sin manuales de
aprendizaje (y sin otros que nos pongan barreras).&amp;nbsp; Imaginad…un mundo mucho más desarrollado y
próspero si se contara con la tolerancia necesaria.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
Todos llevamos dentro una mezcla de sentimiento de
inferioridad y resignación nos separa de rebatir los dogmas, la triste realidad
es que así no se avanza. Sin embargo, hay algo esperanzador, tenemos la
capacidad de despertar, la difícil pero no imposible cualidad de dudar de lo
habitual, de empezar a descubrir de manera autónoma el mundo y todos sus
secretos. Cuando nacemos somos los seres más creativos y curiosos del mundo, precisa
y sencillamente por no saber nada, tenemos que darle forma a nuestro contexto
partiendo de cero. &lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
Por todo esto me permito el lujo de modificar la famosa cita
de Sócrates… “Sólo sé que no se nada y doy gracias por haberme dado cuenta”. &lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
PD: espero y confío en que no estés de acuerdo conmigo, critícame,
duda de mis palabras y sobre todo: confecciona por ti mismo tú manera de crecer
como persona.&amp;nbsp;&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/8102099190799509249/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2013/01/el-poder-de-la-incertidumbre.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/8102099190799509249'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/8102099190799509249'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2013/01/el-poder-de-la-incertidumbre.html' title='El poder de la incertidumbre'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-6989583839849696137</id><published>2012-12-16T21:05:00.003+01:00</published><updated>2012-12-18T15:22:41.820+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Perder peso"/><category scheme="http://www.blogger.com/atom/ns#" term="Salud"/><title type='text'>¡¡Podemos (y debemos) cortar el ciclo!!</title><content type='html'>&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
El 80% de los niños que tienen obesidad serán propensos a convertirse en obesos en su edad adulta.&lt;/div&gt;
&amp;nbsp;Falta información, falta conciencia, sobra quejarnos y compadecernos de la obesidad sin poner remedio, hay que poner fin al ciclo.&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;iframe allowfullscreen=&#39;allowfullscreen&#39; webkitallowfullscreen=&#39;webkitallowfullscreen&#39; mozallowfullscreen=&#39;mozallowfullscreen&#39; width=&#39;320&#39; height=&#39;266&#39; src=&#39;https://www.youtube.com/embed/HKzY0vXlhnQ?feature=player_embedded&#39; frameborder=&#39;0&#39;&gt;&lt;/iframe&gt;&lt;/div&gt;
&lt;br /&gt;
Las células adiposas (más concretamente las blancas), encargadas de almacenar grasa, a medida que van guardando energía en forma de triglicéridos, van aumentando en tamaño (hipertrofia) hasta que llegan a su límite. Una vez llegado a ese límite la célula se ve obligada a &quot;dividirse&quot; (hiperplasia) y crear un preadipocito que tendrá capacidad para seguir almacenando energía y aumentando de volumen.&lt;br /&gt;
&lt;br /&gt;
El problema es que cuando la grasa se utiliza como combustible los adipocitos disminuyen en tamaño pero NO en número. Aquí reside el riesgo de ser obesos en edades tempranas, nuestro potencial de engordar es mayor que el de una persona que nunca haya sufrido este problema y no tenga sus células multiplicadas.&lt;br /&gt;
&lt;br /&gt;
Cada persona es consciente de sus actos, sin embargo, los niños, y por tanto su salud, son responsabilidad de sus padres.&lt;br /&gt;
&lt;br /&gt;
Hay que trabajar para que esta epidemia no vaya a más...&lt;br /&gt;
&lt;br /&gt;
¡¡La obesidad es una enfermedad y muy seria!!</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/6989583839849696137/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/12/podemos-y-debemos-cortar-el-ciclo.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/6989583839849696137'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/6989583839849696137'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/12/podemos-y-debemos-cortar-el-ciclo.html' title='¡¡Podemos (y debemos) cortar el ciclo!!'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-7863529586518547935</id><published>2012-11-23T13:13:00.001+01:00</published><updated>2012-11-23T13:23:38.392+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Curiosidades"/><category scheme="http://www.blogger.com/atom/ns#" term="Entrenar"/><title type='text'>Historias de principios del entrenamiento:</title><content type='html'>&lt;br /&gt;
&lt;br /&gt;
Se cuenta que en la Grecia Antigua, Milo de Crotona, un gran atleta de aquel entonces, realizó un buen desempeño en los Juegos Olímpicos ,sin embargo, no todo el que deseaba, por lo tanto se dispuso a entrenar duro para llegar al máximo a los siguientes.&lt;br /&gt;
&lt;br /&gt;
La historia dice que un día mientras paseaba por las afueras de su ciudad se encontró a un pequeño ternero abandonado. Este lo socorrió y lo cargó sobre sus hombros, pensó que sería bueno para su entrenamiento así que se comprometió a cargarla cada día, durante todo el período de olimpíadas.&lt;br /&gt;
&lt;a href=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiWbBvSxRubcXpwbLqjzubu8bo1JODAA5FDdOV5bWtnqtwO5p6odD-Vh4Qn790PJiH7IxtV2PgG2v7W1D_R9s5PY4MgW8sXeaYmSUlbxNWnGQ59nIQkyQ61r2YfN49EnCzYn9OQLLUlg4c/s1600/milo_carrying_bull_calf_op.jpg&quot; imageanchor=&quot;1&quot; style=&quot;clear: right; float: right; margin-bottom: 1em; margin-left: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;225&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiWbBvSxRubcXpwbLqjzubu8bo1JODAA5FDdOV5bWtnqtwO5p6odD-Vh4Qn790PJiH7IxtV2PgG2v7W1D_R9s5PY4MgW8sXeaYmSUlbxNWnGQ59nIQkyQ61r2YfN49EnCzYn9OQLLUlg4c/s320/milo_carrying_bull_calf_op.jpg&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;
Cuando llegó el gran momento Milo, mucho más fuerte que cuatro años atrás, casi sin darse cuenta ya era capaz de cargar sobre sus hombros un toro de más de cuatro años. Y como era de esperar venció con diferencia a sus rivales.&lt;br /&gt;
&lt;br /&gt;
&quot;No pretendas mejorar si entrenas siempre igual&quot; (hablando del principio de sobrecarga progresiva del esfuerzo, aunque también de variabilidad)</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/7863529586518547935/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/11/historias-de-principios-del.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/7863529586518547935'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/7863529586518547935'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/11/historias-de-principios-del.html' title='Historias de principios del entrenamiento:'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiWbBvSxRubcXpwbLqjzubu8bo1JODAA5FDdOV5bWtnqtwO5p6odD-Vh4Qn790PJiH7IxtV2PgG2v7W1D_R9s5PY4MgW8sXeaYmSUlbxNWnGQ59nIQkyQ61r2YfN49EnCzYn9OQLLUlg4c/s72-c/milo_carrying_bull_calf_op.jpg" height="72" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-2129907762222135154</id><published>2012-11-22T22:02:00.001+01:00</published><updated>2012-11-22T22:02:48.334+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Curiosidades"/><title type='text'>¿Cómo se crean las paradojas?</title><content type='html'>&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;Os voy a contar una historia que recorre ya por muchas webs de internet pero no deja de ser curiosísima y sirve de analogía para muchas de las cosas que hoy día se siguen haciendo mal por simple &quot;inercia&quot;...&lt;br /&gt;Un grupo de científicos colocó 5 monos en una jaula, en cuyo centro pusieron una escalera y sobre ella, un racimo de plátanos.&lt;/span&gt;&lt;br /&gt;
&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;Cuando un mono subía la escalera para agarrar los plátanos, los científicos lanzaban un chorro de agua fría sobre el resto de monos que quedaban en el suelo. Pasado algún tiempo, cuando un mono iba a subir la escalera, los otros lo paraban, pegaban y agarraban para que no subiera la escalera temiendo que les volviese a caer agua encima. Un tiempo después ningún mono subía la escalera, a pesar de que el racimo de plátanos seguía ahí colgado.&lt;/span&gt;&lt;br /&gt;
&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;Entonces, los científicos sustituyeron uno de los monos viejos por uno nuevo y el recién llegado vio el racimo y quiso ir a por los plátanos. En seguida el resto de monos se le echaron encima pegándole para frenarle. Varios golpes (y palizas) después el mono recién llegado entendió que esa escalera er&lt;/span&gt;&lt;br /&gt;
&lt;div class=&quot;text_exposed_show&quot; style=&quot;background-color: white; display: inline;&quot;&gt;
&lt;span style=&quot;color: #333333; font-family: lucida grande, tahoma, verdana, arial, sans-serif;&quot;&gt;&lt;span style=&quot;font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;a intocable y ya no intentó subir nunca más.&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style=&quot;color: #333333; font-family: lucida grande, tahoma, verdana, arial, sans-serif;&quot;&gt;&lt;span style=&quot;font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;Los científicos viendo la calma del grupo decidieron sustituir un segundo mono y sucedió lo mismo, además uno de los que más le pegaba era el mono que anteriormente había sido sustituido. Una vez el segundo mono aprendió la lección se cambió a un tercer mono y se volvió a repetir la historia. Y de nuevo cada vez, se fueron sustituyendo los monos de la habitación hasta que quedaron monos que no habían estado presentes en las duchas de agua fría y que sin saber porque lo hacían, apaleaban al mono que se introducía en la habitación y que intentaba alcanzar los plátanos.&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style=&quot;color: #333333; font-family: lucida grande, tahoma, verdana, arial, sans-serif;&quot;&gt;&lt;span style=&quot;font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;Los monos no sabían porqué hacían lo que hacían simplemente repetían aquello que les habían enseñado sin cuestionar, solo por miedo a ser dañados o excluidos del grupo...&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style=&quot;color: #333333; font-family: lucida grande, tahoma, verdana, arial, sans-serif;&quot;&gt;&lt;span style=&quot;font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;¡¡¡Intenta no ser un mono, intenta pensar por&amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;span style=&quot;color: #333333; font-family: lucida grande, tahoma, verdana, arial, sans-serif; font-size: x-small;&quot;&gt;&lt;span style=&quot;line-height: 15.449999809265137px;&quot;&gt;ti&lt;/span&gt;&lt;/span&gt;&lt;span style=&quot;color: #333333; font-family: lucida grande, tahoma, verdana, arial, sans-serif;&quot;&gt;&lt;span style=&quot;font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;&amp;nbsp;mismo y sacar tus propias conclusiones!!!&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;
</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/2129907762222135154/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/11/como-se-crean-las-paradojas.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/2129907762222135154'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/2129907762222135154'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/11/como-se-crean-las-paradojas.html' title='¿Cómo se crean las paradojas?'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-2162559121766527495</id><published>2012-11-14T15:59:00.000+01:00</published><updated>2012-12-18T10:37:23.230+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Curiosidades"/><category scheme="http://www.blogger.com/atom/ns#" term="Entrenar"/><category scheme="http://www.blogger.com/atom/ns#" term="Rendimiento"/><title type='text'>Cómo generar más fuerza ¿estirando?</title><content type='html'>&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;Hay estudios que demuestran que el estiramiento estático puede disminuir la fuerza y la potencia cuando se realiza inmediatamente antes de entrenar.&lt;/span&gt;&lt;br /&gt;
&lt;br style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot; /&gt;
&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;En primer lugar, el estiramiento estático (y PNF) aumenta adaptabilidad de la unidad musculo tendinosa, dando lugar a una reducción en la transmisión de fuerza (1).&lt;/span&gt;&lt;br /&gt;
&lt;br style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot; /&gt;
&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;Si se reduce la rigidez del músculo se puede mermar la producción de fuerza (supongo que sobre todo en manifestaciones reactivas).&lt;/span&gt;&lt;br /&gt;
&lt;div class=&quot;text_exposed_show&quot; style=&quot;background-color: white; color: #333333; display: inline; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.727272033691406px; line-height: 15.454545021057129px;&quot;&gt;
&lt;br /&gt;
Otro mecanismo teorizado implica la disminución del estímulo neuronal y una subsiguiente reducción en el número de unidades motoras disponibles para la contracción (2, 3). Con toda probabilidad, ambos factores tienen su papel en el deterioro funcional.&lt;br /&gt;
¿Pero qué pasa si damos la vuelta a las cosas y nos concentramos en estirar el músculo opuesto (antagonista) en vez de la agonista? Al aumentar la adaptación del antagonista y reduciendo su estímulo neuronal se inhibiría su producción de fuerza, por lo que se disminuye la interferencia durante la contracción del agonista. Hipotéticamente, esto permite que el agonista produzca más fuerza, y por consiguiente se potencie su función.&lt;br /&gt;
Investigaciones recientes muestran que en la práctica esto funciona. En concreto, en un estudio bien diseñado con levantadores entrenados se observó que las medidas de altura y potencia de salto vertical fueron significativamente mayores cuando fueron precedidas por un estiramiento antagonista, comparado con una prueba sin estiramiento (4).&lt;br /&gt;
Antes de que te sorprendas por estos resultados, es importante darse cuenta de que la magnitud global del efecto fue relativamente pequeña (2%). Pero merece la pena realizar un rato estiramientos a cambio de una ganancia de fuerza, aunque sea mínima...&lt;br /&gt;
&lt;br /&gt;
Pienso que este efecto se enfatiza en sujetos poco acostumbrados al entrenamiento de fuerza. La mejora de los factores neurales, técnica, coordinación intermuscular, etc. frenaría bastante el efecto de esta práctica, ¿no creéis?&lt;br /&gt;
&lt;br /&gt;
1. Nelson AG, Allen JD, Cornwell A, Kokkonen J. Inhibition of maximal voluntary isometric torque production by acute stretching is joint-angle specific. Res Q Exerc Sport. 2001 Mar;72(1):68-70.&lt;br /&gt;
2. Behm DG, Button DC, Butt JC. Factors affecting force loss with prolonged stretching. Can J Appl Physiol. 2001 Jun;26(3):261-72.&lt;br /&gt;
3. Kokkonen J, Nelson AG, Cornwell A. Acute muscle stretching inhibits maximal strength performance. Res Q Exerc Sport. 1998 Dec;69(4):411-5.&lt;br /&gt;
4. Sandberg JB, Wagner DR, Willardson JM, Smith GA. Acute effects of antagonist stretching on jump height, torque, and electromyography of agonist musculature. J Strength Cond Res. 2012 May;26(5):1249-56.&lt;br /&gt;
&lt;br /&gt;
Traducido y adaptado de:&amp;nbsp;&lt;a href=&quot;http://www.facebook.com/l.php?u=http%3A%2F%2Fwww.t-nation.com%2Ffree_online_article%2Fmost_recent%2Fdemolish_your_genetic_limits&amp;amp;h=BAQGIcY-lAQGOJWXxRTgCL2NjPmTU-dDOb1wNFralRVxGkA&amp;amp;s=1&quot; rel=&quot;nofollow nofollow&quot; style=&quot;color: #3b5998; cursor: pointer; text-decoration: initial;&quot; target=&quot;_blank&quot;&gt;http://www.t-nation.com/&lt;wbr&gt;&lt;/wbr&gt;&lt;span class=&quot;word_break&quot; style=&quot;display: inline-block;&quot;&gt;&lt;/span&gt;free_online_article/&lt;wbr&gt;&lt;/wbr&gt;&lt;span class=&quot;word_break&quot; style=&quot;display: inline-block;&quot;&gt;&lt;/span&gt;most_recent/&lt;wbr&gt;&lt;/wbr&gt;&lt;span class=&quot;word_break&quot; style=&quot;display: inline-block;&quot;&gt;&lt;/span&gt;demolish_your_genetic_limits&lt;/a&gt;&lt;/div&gt;
</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/2162559121766527495/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/11/como-generar-mas-fuerza-estirando.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/2162559121766527495'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/2162559121766527495'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/11/como-generar-mas-fuerza-estirando.html' title='Cómo generar más fuerza ¿estirando?'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-1116372782430842875</id><published>2012-11-01T12:27:00.001+01:00</published><updated>2012-11-01T12:37:06.857+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Anatomía"/><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Salud"/><title type='text'>¡Cuidado con los hombros!</title><content type='html'>&lt;br /&gt;
La articulación glenohumeral, o el hombro, es una articulación poco estabilizada, es la que más variedad y amplitud de movimientos posee del cuerpo humano, esto se debe principalmente a su anatomía (es una enartrosis) y a que apenas hay contacto entre las superficies articulares, por lo tanto son sus&amp;nbsp;sujeciones&amp;nbsp;pasivas (cápsula, ligamentos y músculos) las estructuras que mínimamente estabilizarían su movimiento.&lt;br /&gt;
&lt;br /&gt;
El músculo deltoides no es predominantemente tónico, y por tanto, presenta tendencia a la hipotonicidad en personas sedentarias o poco entrenadas. En el momento en el que el tono no es suficiente para ayudar a función de estabilización se requiere de la participación del manguito rotador (formado por la inserción de los tendones de los músculos &amp;nbsp;subescapular, supraespinoso, infraespinoso y redondo menor), que crean una especie de envoltura protectora alrededor de la articulación.&lt;br /&gt;
&lt;br /&gt;
Se entiende que la mayoría de los dolores y molestias se traducen en un desajuste de este complejo entramado muscular. Para evitar lesiones en dicha articulación es necesario un fortalecimiento del músculo deltoides al completo, a nivel de todos sus fascículos, sin dejar de prestar atención al refuerzo de los manguitos rotadores, haciendo especial hincapié en la progresividad.&lt;br /&gt;
&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;iframe allowfullscreen=&#39;allowfullscreen&#39; webkitallowfullscreen=&#39;webkitallowfullscreen&#39; mozallowfullscreen=&#39;mozallowfullscreen&#39; width=&#39;320&#39; height=&#39;266&#39; src=&#39;https://www.youtube.com/embed/siuBuGCleh4?feature=player_embedded&#39; frameborder=&#39;0&#39;&gt;&lt;/iframe&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
Es de vital importancia para la salud de los hombros evitar la reiteración de movimientos potencialmente lesivos como pueden ser &amp;nbsp;las abducciones &amp;gt;80º con rotaciones internas o externas forzadas. El press trasnuca es un ejemplo de otros muchos ejercicios realizados en el gimnasio que pueden provocar bursitis o tendinitis. La acción de pintar la casa es otro ejemplo dentro del ámbito doméstico...&lt;br /&gt;&lt;br /&gt;</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/1116372782430842875/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/11/cuidado-con-los-hombros.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/1116372782430842875'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/1116372782430842875'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/11/cuidado-con-los-hombros.html' title='¡Cuidado con los hombros!'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-6357445627544294757</id><published>2012-10-23T21:15:00.001+02:00</published><updated>2012-11-01T11:48:55.771+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Curiosidades"/><category scheme="http://www.blogger.com/atom/ns#" term="Nuevas tendencias"/><category scheme="http://www.blogger.com/atom/ns#" term="Perder peso"/><category scheme="http://www.blogger.com/atom/ns#" term="Salud"/><title type='text'>Ayunar de manera controlada</title><content type='html'>&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 13px; line-height: 17px;&quot;&gt;Desmontando el falso mito de que el ayuno nos pone en &quot;modo reserva&quot; y tendemos a acumular más grasa...&lt;/span&gt;&lt;br /&gt;
&lt;br style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 13px; line-height: 17px;&quot; /&gt;
&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 13px; line-height: 17px;&quot;&gt;La adaptación eficaz a la hambruna era importante para la supervivencia durante los tiempos difíciles en nuestra evolución. La reducción de la tasa metabólica durante la inanición nos ha permitido vivir más tiempo, aumentando la posibilidad de que pudiéramos encontrar algo de comer. PERO OJO, hambruna entendida como posibilidad de morir de hambre, no como saltarse una comida o no comer durante 24 horas. O durante tres días, incluso. La creencia de que saltarse comidas o el ayuno a corto plazo es las causas &quot;modo reserva&quot; no está fundamentada en pilares consistentes.&lt;/span&gt;&lt;br /&gt;
&lt;br style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 13px; line-height: 17px;&quot; /&gt;
&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 13px; line-height: 17px;&quot;&gt;En cuanto a los numerosos estudios que encontramos, la evidencia más temprana en la bajada de la tasa metabólica en respuesta al ayuno se produjo después de 60 horas (-8% en tasa metabólica en reposo). ¡¡Otros estudios muestran que la tasa metabólica no se ve afectada hasta 72-96 horas!!&lt;/span&gt;&lt;br /&gt;
&lt;br style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 13px; line-height: 17px;&quot; /&gt;
&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 13px; line-height: 17px;&quot;&gt;Al parecer, paradójicamente, la tasa metabólica aumenta en el ayuno a corto plazo. Por dar algunos números concretos, los estudios han demostrado un incremento del 3,6% - 10% después de 36-48 horas (Mansell PI, y otros, y Zauner C, et al). Esto tiene sentido desde una perspectiva evolutiva. La epinefrina y norepinefrina (adrenalina / noradrenalina) agudiza la mente y nos hace querer movernos, estar alerta y preparados para buscar o cazar la comida. Rasgos deseables para la supervivencia.&amp;nbsp;&lt;/span&gt;&lt;br /&gt;
&lt;br style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 13px; line-height: 17px;&quot; /&gt;
&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 13px; line-height: 17px;&quot;&gt;Adaptado de fisiomorfis.com&lt;/span&gt;</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/6357445627544294757/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/10/ayunar-no-hace-que-engordemos.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/6357445627544294757'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/6357445627544294757'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/10/ayunar-no-hace-que-engordemos.html' title='Ayunar de manera controlada'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-267933480250110328</id><published>2012-10-16T00:50:00.001+02:00</published><updated>2012-10-16T00:50:52.273+02:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="beneficios"/><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Rendimiento"/><category scheme="http://www.blogger.com/atom/ns#" term="Salud"/><title type='text'>No siempre es bueno estirar (pasivamente)</title><content type='html'>&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.800000190734863px; line-height: 13.600000381469727px;&quot;&gt;Es una práctica común estirar tus músculos antes de entrenar. ¿Es correcto hacer esto? Se podría decir que no...&lt;/span&gt;&lt;br style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.800000190734863px; line-height: 13.600000381469727px;&quot; /&gt;&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.800000190734863px; line-height: 13.600000381469727px;&quot;&gt;Estoy hablando de forma pasiva, un estiramiento. Probablemente has escuchado que el estiramiento previene de lesiones ya que &quot;preparara&quot; a los músculos para el trabajo.&amp;nbsp;&lt;/span&gt;&lt;br style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.800000190734863px; line-height: 13.600000381469727px;&quot; /&gt;&lt;br style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.800000190734863px; line-height: 13.600000381469727px;&quot; /&gt;&lt;span style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.800000190734863px; line-height: 13.600000381469727px;&quot;&gt;Intuitivamente tiene sentido, pero las investigaciones están refutando la idea de que el estiramiento pasivo antes de un entrenamiento ofrece algún beneficio real. De hecho, podría impedir el correcto funcionamiento del sistema muscular.&lt;/span&gt;&lt;br style=&quot;background-color: white; color: #333333; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.800000190734863px; line-height: 13.600000381469727px;&quot; /&gt;&lt;br /&gt;
&lt;div class=&quot;text_exposed_show&quot; style=&quot;background-color: white; color: #333333; display: inline; font-family: &#39;lucida grande&#39;, tahoma, verdana, arial, sans-serif; font-size: 12.800000190734863px; line-height: 13.600000381469727px;&quot;&gt;
El entrenamiento de la flexibilidad o estiramiento pasivo, es relajante para los músculos y también es relajante para el sistema nervioso. Está muy bien para la recuperación.&lt;br /&gt;Sin embargo, puedes perder fuerza, por ejemplo, en los isquiotibiales (temporalmente) si los estiras pasivamente, esto se debe al debilitamiento de la señal entre las terminaciones nerviosas y los músculos.&lt;br /&gt;&lt;br /&gt;En resumen, parece que es más conveniente estirar de manera pasiva al final de la sesión de entrenamiento en lugar de hacerlo al principio.&lt;br /&gt;&lt;br /&gt;Adaptado de Chad Waterbury&lt;/div&gt;
</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/267933480250110328/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/10/no-siempre-es-bueno-estirar-pasivamente.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/267933480250110328'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/267933480250110328'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/10/no-siempre-es-bueno-estirar-pasivamente.html' title='No siempre es bueno estirar (pasivamente)'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-8234003680199045988</id><published>2012-10-12T12:01:00.003+02:00</published><updated>2012-10-14T10:56:21.460+02:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Entrenar"/><category scheme="http://www.blogger.com/atom/ns#" term="Estética"/><category scheme="http://www.blogger.com/atom/ns#" term="Perder peso"/><category scheme="http://www.blogger.com/atom/ns#" term="Salud"/><title type='text'>Cómo quemar grasa &quot;sin querer&quot;</title><content type='html'>&lt;br /&gt;
¿Por qué recomendar intensidad a las personas que quieren reducir su grasa corporal?&lt;br /&gt;
&lt;br /&gt;
Principalmente porque tras una sesión de ejercicio intensa la tasa metabólica permanece elevada en relación a los valores de reposo. Ese momento es denominado por Gaesser y Brooks como EPOC (exceso de oxígeno consumido post-entrenamiento).&lt;br /&gt;
Este exceso de O2 consumido por el organismo supone un gasto calórico de alrededor de 5 kcal por cada litro de oxígeno.&lt;br /&gt;
&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://www.coreyhousefitness.com/wp-content/uploads/2010/12/After-Burn.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;242&quot; src=&quot;http://www.coreyhousefitness.com/wp-content/uploads/2010/12/After-Burn.jpg&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
El exceso de consumo de oxígeno tras el entrenamiento posee de un componente rápido y un componente prolongado. El componente rápido del EPOC ocurre posterior a 1 hora. Es probable que esos factores contribuyan a la resíntesis de ATP/PC, redistribución de iones (aumento en la actividad de bombeo de sodio y potasio), aclaramiento del lactato, restauración del daño de los tejidos, resíntesis de proteínas, así como restauración del aumento de la frecuencia cardíaca y aumento de la temperatura corporal.&lt;br /&gt;
&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;/div&gt;
Durante el componente prolongado, los procesos para el retorno de la homeostasis fisiológica ocurren a un nivel más bajo. Esos procesos pueden incluir el ciclo de Krebs con mayor utilización de ácidos grasos libres (aumento de la respiración mitocondrial por el aumento de la concentración de norepinefrina); efectos de varias hormonas, como el cortisol, insulina, ACTH, hormonas tiroideas y HGH; resíntesis de hemoglobina y mioglobina; aumento de la actividad simpática ; resíntesis de glucógeno y aumento de la temperatura.&lt;br /&gt;
&lt;br /&gt;
El principal sustrato energético utilizado en el EPOC son los lípidos. Un estudio hecho por Wirth Apud Bronstein en 1996 mostró que tras la actividad física, la incorporación de ácidos grasos en el tejido adiposo y su estearificación para triaciglicerol disminuyen, pues ocurre un aumento en la concentración plasmática de ácidos grasos libres, aumentando, por lo tanto, su oxidación.&lt;br /&gt;
&lt;br /&gt;
Ciertos ejercicios de muy alta intensidad (que suponen un tiempo relativamente corto de entrenamiento) podrían mantener la razón del cambio respiratorio post-entrenamiento elevado durante un periodo de 2 horas y la tasa metabólica de reposo elevada por hasta 15 horas, utilizando la grasa como sustrato energético durante ese periodo.&lt;br /&gt;
&lt;br /&gt;
Además podemos afirmar que enfatizar el componente excéntrico de la contracción durante los ejercicios aumenta la tasa metabólica tanto en personas entrenadas como no entrenadas (Hackney et al., 2008). Se descubrió que una rutina de cuerpo completo con un segundo de contracción concéntrica y 3 de contracción excéntrica aumentaba hasta un 9% el gasto energético en reposo.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/8234003680199045988/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/10/como-quemar-grasa-sin-querer.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/8234003680199045988'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/8234003680199045988'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/10/como-quemar-grasa-sin-querer.html' title='Cómo quemar grasa &quot;sin querer&quot;'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-6616896586280643750</id><published>2012-08-22T15:03:00.003+02:00</published><updated>2012-08-22T15:03:58.254+02:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Entrenar"/><category scheme="http://www.blogger.com/atom/ns#" term="Rendimiento"/><category scheme="http://www.blogger.com/atom/ns#" term="salto"/><title type='text'>Entrenamiento del salto</title><content type='html'>&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;b&gt;O&lt;/b&gt;s dejo un vídeo con ejercicios útiles si queréis entrenar el salto. Trabajar con pliometría ayuda enormemente a mejorar en cuánto a capacidad de impulsión pero es necesario tener una buena base, así como una progresión adecuada ya que se podría considerar un método bastante lesivo si se realiza sin las consideraciones pertinentes.&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;iframe allowfullscreen=&#39;allowfullscreen&#39; webkitallowfullscreen=&#39;webkitallowfullscreen&#39; mozallowfullscreen=&#39;mozallowfullscreen&#39; width=&#39;320&#39; height=&#39;266&#39; src=&#39;https://www.youtube.com/embed/znf6bZDncuQ?feature=player_embedded&#39; frameborder=&#39;0&#39;&gt;&lt;/iframe&gt;&amp;nbsp;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;br /&gt;</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/6616896586280643750/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/08/entrenamiento-del-salto.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/6616896586280643750'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/6616896586280643750'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/08/entrenamiento-del-salto.html' title='Entrenamiento del salto'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-4705776089376895760</id><published>2012-05-20T13:41:00.001+02:00</published><updated>2012-05-20T13:46:39.974+02:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Curiosidades"/><category scheme="http://www.blogger.com/atom/ns#" term="deporte"/><category scheme="http://www.blogger.com/atom/ns#" term="Entrenar"/><category scheme="http://www.blogger.com/atom/ns#" term="Rendimiento"/><title type='text'>Carreras de larga distancia: la ventaja de los africanos del este.</title><content type='html'>&lt;br /&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;span style=&quot;font-size: 18pt;&quot;&gt;Q&lt;/span&gt;ue keniatas,
etíopes o eritreos son mejores en las carreras de largas distancias es un hecho
constatado. &amp;nbsp;Sin embargo, no es del todo
fácil concluir la razón por la que esto sucede.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;b&gt;Posibles teorías y explicaciones hay muchas&lt;/b&gt;: relacionadas con la genética,
los factores ambientales, e incluso psicológicos.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
Algunos estudios evidencian que las diferencias significativas en los
aspectos que benefician la carrera de larga distancia.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&amp;nbsp;Así, Saltin y col (1995)
sugieren que los deportistas nativos de altura (kenianos, etíopes, etc.) no
tienen valores de capacidad oxidativa muscular superiores a los observados en
deportistas similares residentes a nivel del mar. No obstante, sí se ha
observado en fondistas keniatas una &lt;b&gt;mayor actividad &lt;/b&gt;de la enzima hidroxiacil
CoA deshidrogenasa, principal &lt;b&gt;enzima reguladora de la betaoxidación de los
ácidos grasos. &lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&amp;nbsp;Es por tanto que &lt;b&gt;gestionan mejor
sus recursos metabólicos&lt;/b&gt;. Sin embargo, según Larsen (2003), no está claro si
esta diferencia es debida a factores nutricionales, diferencias en los
programas de entrenamiento, factores genéticos o al efecto de la residencia y
entrenamiento habitual en altitud moderada.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
Otros estudios como el de Alejandro Lucía y col (2006) nos presentan
que &lt;b&gt;el VO2max apenas difiere significativamente entre atletas caucásicos y
keniatas, etíopes o eritreos&lt;/b&gt; (incluso en la élite, algunos caucásicos presentan
mayores niveles de VO2max); &lt;b&gt;no obstante&lt;/b&gt;, sí &lt;b&gt;encontramos discrepancias
relevantes en el gasto energético a una velocidad de 21km·h-1 a favor de
los africanos&lt;/b&gt;. &lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
Este hecho es posiblemente atribuible a las &lt;b&gt;características
antropométricas de los corredores&lt;/b&gt;. Y sobre todo a &lt;b&gt;la economía de su carrera.&lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
Según Kong and Heer(2008) los corredores de fondo de élite keniatas
tenían un índice de masa y grasa corporal muy bajos, así como unas extremidades
delgadas. En general, el período de tiempo de contacto del pie con el suelo era
muy corto; y a pesar de que la fuerza de las piernas era relativamente baja,
presentaban una ratio H:Q muy elevada. &lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
Una gran cantidad de estudios ya han demostrado que los corredores
africanos tienen &lt;b&gt;mayor actividad enzimática, producen menos lactato para una
velocidad correspondiente a un %VO2máx&amp;nbsp;dado, poseen una
mayor capacidad de mantener una velocidad de carrera, relativa a un %VO2máx, superior a los caucásicos. &lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
Es el sumatorio de todas estas diferencias lo que les proporciona la
ventaja frente a los demás atletas.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
Y &lt;b&gt;por si esto fuera poco&lt;/b&gt;, aún quedan parámetros que pueden ayudar a
entender su superioridad: Uno de los que más se está estudiando actualmente es
&lt;b&gt;la mayor capacidad de termorregulación de los africanos en condiciones de altas
temperaturas y altos índices de humedad.&lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
Los estudios de Marino y col (2004) demuestran, que a temperaturas
frescas (sobre 15ºC) la capacidad de termorregulación no difiere entre
africanos y caucásicos, sin embargo, cuando se realizan las pruebas en
condiciones de calor (35ºC) &lt;b&gt;el rendimiento de los caucásicos cae en picado
mientras que los africanos más o menos logran mantenerse&lt;/b&gt;. Las explicaciones
para estos datos no están del todo claras, podrían deberse a factores de
pigmentación cutánea o más probablemente de superficie corporal. &lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 1cm;&quot;&gt;
&lt;b&gt;Todas estas razones, según mi opinión, serían la base por el cual se
hace patente el dominio africano en las pruebas de fondo&lt;/b&gt;, con todo, &lt;b&gt;pienso que
hay algo más que les lleva al éxito: la necesidad.&lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/4705776089376895760/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/05/carreras-de-larga-distancia-las-ventaja.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/4705776089376895760'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/4705776089376895760'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/05/carreras-de-larga-distancia-las-ventaja.html' title='Carreras de larga distancia: la ventaja de los africanos del este.'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-201437473511252864</id><published>2012-04-09T14:55:00.001+02:00</published><updated>2012-04-09T14:56:19.219+02:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Entrenar"/><category scheme="http://www.blogger.com/atom/ns#" term="Hormonas"/><category scheme="http://www.blogger.com/atom/ns#" term="Rendimiento"/><category scheme="http://www.blogger.com/atom/ns#" term="Salud"/><title type='text'>Descansando se entrena mejor</title><content type='html'>&lt;br /&gt;
&lt;br /&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-indent: 35.4pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;Los &lt;b&gt;tres pilares básicos&lt;/b&gt; de toda persona que practique deporte deberían ser
el &lt;b&gt;entrenamiento&lt;/b&gt;, la &lt;b&gt;nutrición&lt;/b&gt; y el&amp;nbsp;&lt;b&gt;descanso&lt;/b&gt;.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;&lt;br /&gt;
&lt;span style=&quot;background-attachment: initial; background-clip: initial; background-color: white; background-image: initial; background-origin: initial;&quot;&gt;“Cuando no dormimos lo suficiente los tiempos de
reacción sufren, el rendimiento sostenido cae y hay un declive en el
funcionamiento físico general. Más aún, se sacrifican los estados de vigilancia
y alerta lo que puede resultar en bajo rendimiento y posiblemente causar
lesiones”.&lt;br /&gt;
&lt;/span&gt;&lt;br /&gt;
Importantísimo es el hecho de que &lt;b&gt;mientras dormimos&lt;/b&gt;, &amp;nbsp;nuestro organismo
restablece los niveles hormonales, se &lt;b&gt;aumenta la secreción de testosterona&lt;/b&gt;
(sobre todo en hombres) y &lt;b&gt;de HGH&lt;/b&gt;, la hormona del crecimiento humano,
&amp;nbsp;ambas &lt;b&gt;de vital trascendencia &lt;/b&gt;en el deporte y cuyas funciones van desde la
&lt;b&gt;quema de grasa&lt;/b&gt;, hasta el &lt;b&gt;aumento de masa muscular&lt;/b&gt;, pasando por la &lt;b&gt;construcción
ósea.&lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;background-attachment: initial; background-clip: initial; background-color: white; background-image: initial; background-origin: initial; background-position: initial initial; background-repeat: initial initial; margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;table border=&quot;0&quot; cellpadding=&quot;0&quot; cellspacing=&quot;0&quot; class=&quot;MsoNormalTable&quot; style=&quot;background: white; border-collapse: collapse; mso-padding-alt: 0cm 0cm 0cm 0cm; mso-yfti-tbllook: 1184;&quot;&gt;
 &lt;tbody&gt;
&lt;tr&gt;
  &lt;td style=&quot;border: solid #BFBFBF 1.0pt; mso-border-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;/td&gt;
  &lt;td style=&quot;border-left: none; border: solid #BFBFBF 1.0pt; mso-border-alt: solid #BFBFBF .75pt; mso-border-left-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div align=&quot;center&quot; class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: center;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;¿QUÉ ÉS?&lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
  &lt;td style=&quot;border-left: none; border: solid #BFBFBF 1.0pt; mso-border-alt: solid #BFBFBF .75pt; mso-border-left-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div align=&quot;center&quot; class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: center;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;FRECUENCIA&lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
  &lt;td style=&quot;border-left: none; border: solid #BFBFBF 1.0pt; mso-border-alt: solid #BFBFBF .75pt; mso-border-left-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div align=&quot;center&quot; class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: center;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;OBJETIVOS&lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
 &lt;/tr&gt;
&lt;tr&gt;
  &lt;td style=&quot;border-top: none; border: solid #BFBFBF 1.0pt; mso-border-alt: solid #BFBFBF .75pt; mso-border-top-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;RECUPERACIÓN ACTIVA&lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
  &lt;td style=&quot;border-bottom: solid #BFBFBF 1.0pt; border-left: none; border-right: solid #BFBFBF 1.0pt; border-top: none; mso-border-alt: solid #BFBFBF .75pt; mso-border-left-alt: solid #BFBFBF .75pt; mso-border-top-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;Descanso en el cual mantenemos el cuerpo en funcionamiento a intensidad
  muy baja.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
  &lt;td style=&quot;border-bottom: solid #BFBFBF 1.0pt; border-left: none; border-right: solid #BFBFBF 1.0pt; border-top: none; mso-border-alt: solid #BFBFBF .75pt; mso-border-left-alt: solid #BFBFBF .75pt; mso-border-top-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;-Entre series&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;-Entre ejercicios&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;-Una vez semanal.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;Entrenamiento&lt;br /&gt;
  de recuperación.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
  &lt;td style=&quot;border-bottom: solid #BFBFBF 1.0pt; border-left: none; border-right: solid #BFBFBF 1.0pt; border-top: none; mso-border-alt: solid #BFBFBF .75pt; mso-border-left-alt: solid #BFBFBF .75pt; mso-border-top-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;-Ausencia&lt;br /&gt;
  parones durante la sesión.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;- Eliminar ansiedad.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;- Acelerar proceso de&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;&amp;nbsp;oxigenación.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
 &lt;/tr&gt;
&lt;tr&gt;
  &lt;td style=&quot;border-top: none; border: solid #BFBFBF 1.0pt; mso-border-alt: solid #BFBFBF .75pt; mso-border-top-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;RECUPERACIÓN PASIVA&lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
  &lt;td style=&quot;border-bottom: solid #BFBFBF 1.0pt; border-left: none; border-right: solid #BFBFBF 1.0pt; border-top: none; mso-border-alt: solid #BFBFBF .75pt; mso-border-left-alt: solid #BFBFBF .75pt; mso-border-top-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;Descanso en el cual utilizamos métodos externos. (masaje, sauna…)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
  &lt;td style=&quot;border-bottom: solid #BFBFBF 1.0pt; border-left: none; border-right: solid #BFBFBF 1.0pt; border-top: none; mso-border-alt: solid #BFBFBF .75pt; mso-border-left-alt: solid #BFBFBF .75pt; mso-border-top-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;-Una vez semanal si es necesario.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;-Al final de mesociclo y/o macrociclo.&amp;nbsp;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
  &lt;td style=&quot;border-bottom: solid #BFBFBF 1.0pt; border-left: none; border-right: solid #BFBFBF 1.0pt; border-top: none; mso-border-alt: solid #BFBFBF .75pt; mso-border-left-alt: solid #BFBFBF .75pt; mso-border-top-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;-Descarga muscular.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;-Restablecer desequilibrios.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;-Rehabilitación.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
 &lt;/tr&gt;
&lt;tr&gt;
  &lt;td style=&quot;border-top: none; border: solid #BFBFBF 1.0pt; mso-border-alt: solid #BFBFBF .75pt; mso-border-top-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;DESCANSO&lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;TOTAL&lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
  &lt;td style=&quot;border-bottom: solid #BFBFBF 1.0pt; border-left: none; border-right: solid #BFBFBF 1.0pt; border-top: none; mso-border-alt: solid #BFBFBF .75pt; mso-border-left-alt: solid #BFBFBF .75pt; mso-border-top-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;Relajación y recuperación absoluta.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
  &lt;td style=&quot;border-bottom: solid #BFBFBF 1.0pt; border-left: none; border-right: solid #BFBFBF 1.0pt; border-top: none; mso-border-alt: solid #BFBFBF .75pt; mso-border-left-alt: solid #BFBFBF .75pt; mso-border-top-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;-Una vez semanal si es necesario.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;-Antes de competición.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
  &lt;td style=&quot;border-bottom: solid #BFBFBF 1.0pt; border-left: none; border-right: solid #BFBFBF 1.0pt; border-top: none; mso-border-alt: solid #BFBFBF .75pt; mso-border-left-alt: solid #BFBFBF .75pt; mso-border-top-alt: solid #BFBFBF .75pt; padding: 0cm 3.75pt 0cm 3.75pt;&quot;&gt;&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;- Recuperación sistema nervioso.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;-Romper rutina.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;-Preparar competición.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/td&gt;
 &lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;background-attachment: initial; background-clip: initial; background-color: white; background-image: initial; background-origin: initial; background-position: initial initial; background-repeat: initial initial; margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;background-attachment: initial; background-clip: initial; background-color: white; background-image: initial; background-origin: initial; background-position: initial initial; background-repeat: initial initial; margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;El descanso es algo vital, indispensable y que a
menudo no se le atribuye la importancia que realmente posee... un &lt;b&gt;principio
básico de entrenamiento es el de supercompensación&lt;/b&gt;.&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;background-attachment: initial; background-clip: initial; background-color: white; background-image: initial; background-origin: initial; background-position: initial initial; background-repeat: initial initial; margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;background-attachment: initial; background-clip: initial; background-color: white; background-image: initial; background-origin: initial; background-position: initial initial; background-repeat: initial initial; margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;Durante la aplicación de
sesiones de trabajo (entrenamientos) nuestro cuerpo entra en un estado de
estrés, un desequilibrio del estado normal de sus células, que posteriormente
durante el descanso, se recuperarán, no solo para volver al estado de
equilibrio inicial, sino que van un poco más allá para así poder hacer frente
mejor al siguiente estímulo de entrenamiento, por lo tanto se
&quot;supercompensa&quot;.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;background-attachment: initial; background-clip: initial; background-color: white; background-image: initial; background-origin: initial; background-position: initial initial; background-repeat: initial initial; margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;&lt;br /&gt;
De tal manera, &lt;b&gt;podemos afirmar que si un deportista no descansa lo suficiente
podría entrar en un estado de sobreentrenamiento&lt;/b&gt;, &lt;b&gt;reduciendo&lt;/b&gt; progresivamente &lt;b&gt;su
rendimiento&lt;/b&gt; y &lt;b&gt;poniendo en peligro su salud.&lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;background-attachment: initial; background-clip: initial; background-color: white; background-image: initial; background-origin: initial; background-position: initial initial; background-repeat: initial initial; margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;background-attachment: initial; background-clip: initial; background-color: white; background-image: initial; background-origin: initial; background-position: initial initial; background-repeat: initial initial; margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;En conclusión, dormir lo suficiente, así como incluir
sesiones de recuperación activa y/o descanso total en nuestras programaciones
semanales, debe ser una máxima en nuestro entrenamiento. &lt;b&gt;Sólo de esta manera
&lt;/b&gt;lograremos el fenómeno de la supercompensación, o en otras palabras, &lt;b&gt;mejoraremos&lt;/b&gt;.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;background-attachment: initial; background-clip: initial; background-color: white; background-image: initial; background-origin: initial; background-position: initial initial; background-repeat: initial initial; margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;background-attachment: initial; background-clip: initial; background-color: white; background-image: initial; background-origin: initial; background-position: initial initial; background-repeat: initial initial; margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;Como siempre digo, &lt;b&gt;cada uno conoce mejor que nadie sus
límites&lt;/b&gt; y sus necesidades, habrá personas que con 6 horas de sueño se queden como
nuevos, y otras que necesitemos de 8 para arriba...&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;background-attachment: initial; background-clip: initial; background-color: white; background-image: initial; background-origin: initial; background-position: initial initial; background-repeat: initial initial; margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;background-attachment: initial; background-clip: initial; background-color: white; background-image: initial; background-origin: initial; background-position: initial initial; background-repeat: initial initial; margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 12pt;&quot;&gt;&lt;b&gt;Buen descanso a todos.&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;
&lt;br /&gt;</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/201437473511252864/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/04/descansando-se-entrena-mejor.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/201437473511252864'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/201437473511252864'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/04/descansando-se-entrena-mejor.html' title='Descansando se entrena mejor'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-4764686631437554898</id><published>2012-03-20T16:53:00.005+01:00</published><updated>2013-02-15T00:43:40.508+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Curiosidades"/><category scheme="http://www.blogger.com/atom/ns#" term="Estética"/><category scheme="http://www.blogger.com/atom/ns#" term="Fisiología"/><category scheme="http://www.blogger.com/atom/ns#" term="Perder peso"/><category scheme="http://www.blogger.com/atom/ns#" term="Salud"/><title type='text'>¿Se pierde grasa pasando frío?</title><content type='html'>&lt;br /&gt;
&lt;div style=&quot;margin-bottom: .0001pt; margin: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;b&gt;¡Sí!&lt;/b&gt;&amp;nbsp;Aunque al final le pondremos el&amp;nbsp;&lt;b&gt;pero&lt;/b&gt;...&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&amp;nbsp;Es cierto que el sustrato que se utiliza para la
&lt;b&gt;termorregulación&lt;/b&gt; (mantener la temperatura idónea del cuerpo) son los&lt;b&gt; ácidos
grasos&lt;/b&gt;, últimamente están apareciendo muchos artículos relacionados con la
&lt;b&gt;grasa parda y la grasa blanca&lt;/b&gt;, donde a pesar de la controversia se afirman
cosas tales como que esta grasa &quot;parda&quot; (&lt;b&gt;brown fat) es la que se pone
en marcha para que las calorías, valga la redundancia, produzcan calor y eleven
la temperatura en situaciones de frío.&lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;b&gt;El ejercicio&lt;/b&gt;, según se ha descubierto, también&lt;b&gt;
convierte la grasa de blanca a parda&lt;/b&gt; mediante una hormona denominada
&lt;b&gt;&quot;irisina&quot;&lt;/b&gt;.&amp;nbsp;De esta forma, &lt;b&gt;al hacer deporte, “no solo se
quemarían calorías por el movimiento, sino que además existe un consumo extra
por la activación de este tejido”&lt;/b&gt; que, también, pero de forma paralela, consume
las reservas de lípidos.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Bueno... entonces, si que &lt;b&gt;es verdad que cuando nuestro
cuerpo se expone a condiciones de bajas temperaturas, quemaría calorías&lt;/b&gt;.&amp;nbsp;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Pero ¿&lt;b&gt;cómo aprovechar este mecanismo&lt;/b&gt; para que nos de
una ventaja en nuestra lucha por quemas esas calorías extras al día que
necesitamos &lt;b&gt;para adelgazar&lt;/b&gt;?&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Por ejemplo:&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;-&lt;b&gt;Ingiriendo comidas frías.&lt;/b&gt; El organismo no puede dejar
pasar el alimento frío a la sangre. Por lo tanto deberá calentarlo. Ésta
operación le cuesta por lo tanto calorías y además enlentece la digestión y la
asimilación lo que evita la prematura aparición de hambre.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;-&lt;b&gt;Consumiendo bebidas frías &lt;/b&gt;(para llevar a los 36/37°C
dos litros de agua de la nevera se podrían necesitar en torno a 60 calorías).&amp;nbsp;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;-&lt;b&gt;Tomando duchas frías&lt;/b&gt;, con el agua a una temperatura
de 25°C durante dos minutos se queman alrededor de 100 calorías para impedir el
enfriamiento del organismo.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;br style=&quot;-webkit-box-shadow: none !important;&quot; /&gt;
-&lt;b&gt;Evitando vivir en ambientes sobrecaldeados&lt;/b&gt;. Con una temperatura ambiente de
22°C se podrían consumir 100 calorías de mas por día&amp;nbsp;. (Es uno de los hechos que
según piensan puede tener relación con los incrementos de la obesidad actual,
&lt;b&gt;ABUSAMOS DE LAS CALEFFACCIONES&lt;/b&gt;)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;b&gt;¡OJO!&lt;/b&gt; &lt;b&gt;debemos prestar atención a estas técnicas&lt;/b&gt;, &lt;b&gt;no
hacer burradas... No es cuestión de poner al límite nuestro organismo.&lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;b&gt;PERO&lt;/b&gt;, cooooomo siempre, &lt;b&gt;nada en la vida es tan fácil ni tan
cómodo&lt;/b&gt;, los esquimales o los ositos polares estarían todos en los huesos por
esta regla de tres, ¿no?&amp;nbsp;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Y es que &lt;b&gt;estudios corroboran que a exposiciones
prolongadas al frío&lt;/b&gt;, nuestro metabolismo, que es muy listo, &lt;b&gt;aumenta la
capacidad para &amp;nbsp;aprovechar mejor los nutrientes, convertirlos en grasa y
acumularlas.&lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;b&gt;Se podría producir un efecto rebote,&lt;/b&gt; ya que acumularíamos
un extra de grasa para que la próxima vez que bajara la temperatura no&amp;nbsp;tuviéramos&amp;nbsp;problemas
para soportarlo.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;¡Qué ganas de veranito, eh!&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;margin-bottom: 0.0001pt; margin-left: 0cm; margin-right: 0cm; margin-top: 0cm;&quot;&gt;
&lt;br /&gt;
Fuentes:&lt;br /&gt;
&lt;span style=&quot;background-color: white; color: #009933; font-family: Arial, sans-serif; font-size: 13px; line-height: 16px;&quot;&gt;MJM Aliaga, JA Martínez - Anales del Sistema Sanitario de Navarra, 2009&lt;/span&gt;&lt;span style=&quot;background-color: white; color: #009933; font-family: Arial, sans-serif; font-size: 13px; line-height: 16px;&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;br /&gt;
&lt;span style=&quot;background-color: white; color: #009933; font-family: Arial, sans-serif; font-size: 13px; line-height: 16px;&quot;&gt;D García Torres, MF Castellanos González… - Revista …, 2011&amp;nbsp;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/4764686631437554898/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/03/se-pierde-grasa-pasando-frio.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/4764686631437554898'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/4764686631437554898'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/03/se-pierde-grasa-pasando-frio.html' title='¿Se pierde grasa pasando frío?'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-4295804389552533637</id><published>2012-03-06T17:15:00.000+01:00</published><updated>2012-03-14T14:49:51.566+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Curiosidades"/><category scheme="http://www.blogger.com/atom/ns#" term="Rendimiento"/><title type='text'>¿Cafeína, pro-rendimiento?</title><content type='html'>&lt;br /&gt;
&lt;div style=&quot;border-bottom: solid #4F81BD 1.0pt; border: none; mso-border-bottom-themecolor: accent1; mso-element: para-border-div; padding: 0cm 0cm 4.0pt 0cm;&quot;&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Buenas a todos, hoy voy a tratar un tema muy cercano a todos... ¿Quién no
toma regularmente café, té o refrescos de cola..?&amp;nbsp;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Lo que os voy a explicar es &lt;b&gt;el efecto&lt;/b&gt; que la sustancia más característica
de estas bebidas, la &lt;b&gt;cafeína&lt;/b&gt;, &amp;nbsp;provoca en &lt;b&gt;nuestro rendimiento deportivo&lt;/b&gt;.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Estamos tan acostumbrados actualmente a la suplementación hasta el punto de
que muchos se toman lo primero que su &quot;coleguilla&quot; le recomiende sin
saber qué efectos tiene, qué dosis deben tomar, o qué puede pasar cuando se
mezclan entre ellas estos ingredientes...&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Es lógico que desde el más amateur de los practicantes de cualquier tipo de
actividad física hasta el deportista que compite a alto nivel busquen
incrementar su rendimiento mediante la ingesta de alimentos o sustancias que
les produzcan efectos ergogénicos (&lt;span style=&quot;background-attachment: initial; background-clip: initial; background-color: white; background-image: initial; background-origin: initial;&quot;&gt;por etimología: &lt;i&gt;que&lt;/i&gt;&amp;nbsp;&lt;i&gt;tiende
a incrementar el trabajo).&amp;nbsp;&lt;/i&gt;&lt;/span&gt;Parece cómodo que solo por incluir ciertos
alimentos o sustancias en la dieta podamos correr más tiempo, más rápido,
saltar más alto o levantar más kilos.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Sería interesante tratar más adelante este extenso tema acerca de la
necesidad real de utilizar &lt;b&gt;estas sustancias&lt;/b&gt;, pero os resumo, &lt;b&gt;algunas merecen la
pena&lt;/b&gt;, otras solo le merecen la pena a algún tipo de personas o deportistas, &lt;b&gt;y
otras simplemente NO&lt;/b&gt;.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;a href=&quot;http://d3ds4oy7g1wrqq.cloudfront.net/diasazules/myfiles/cafelito-2.jpg?Expires=1328655600&amp;amp;Signature=cGoJrQIQizv7PdC3Dj9do8uHWjlZTbyJAMtrfORsHD3akxSmE9j-utsI8-kHVFU72Ntow6w76BWOfWrtPW47EDRRCwZCyKlRhNrCJKJfliO0Dp5tQpmlKrdClYx~F994E0Q-ziA8X~10blK4q5bDwPDs1MfvHVHbKyXtqrzNlE8_&amp;amp;Key-Pair-Id=APKAJYN3LZI5CG46B7AA&amp;amp;Policy=eyJTdGF0ZW1lbnQiOlt7IlJlc291cmNlIjoiaHR0cDovL2QzZHM0b3k3ZzF3cnFxLmNsb3VkZnJvbnQubmV0L2RpYXNhenVsZXMvbXlmaWxlcy9jYWZlbGl0by0yLmpwZyIsIkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTMyODY1NTYwMH19fV19&quot; imageanchor=&quot;1&quot; style=&quot;clear: right; float: right; margin-bottom: 1em; margin-left: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;158&quot; src=&quot;http://d3ds4oy7g1wrqq.cloudfront.net/diasazules/myfiles/cafelito-2.jpg?Expires=1328655600&amp;amp;Signature=cGoJrQIQizv7PdC3Dj9do8uHWjlZTbyJAMtrfORsHD3akxSmE9j-utsI8-kHVFU72Ntow6w76BWOfWrtPW47EDRRCwZCyKlRhNrCJKJfliO0Dp5tQpmlKrdClYx~F994E0Q-ziA8X~10blK4q5bDwPDs1MfvHVHbKyXtqrzNlE8_&amp;amp;Key-Pair-Id=APKAJYN3LZI5CG46B7AA&amp;amp;Policy=eyJTdGF0ZW1lbnQiOlt7IlJlc291cmNlIjoiaHR0cDovL2QzZHM0b3k3ZzF3cnFxLmNsb3VkZnJvbnQubmV0L2RpYXNhenVsZXMvbXlmaWxlcy9jYWZlbGl0by0yLmpwZyIsIkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTMyODY1NTYwMH19fV19&quot; width=&quot;200&quot; /&gt;&lt;/a&gt;&lt;span style=&quot;line-height: 115%;&quot;&gt;&lt;span style=&quot;font-family: inherit;&quot;&gt;¿&lt;b&gt;Es la cafeína uno de los compuestos que merecen la pena?&lt;/b&gt;&amp;nbsp;La respuesta, rotundamente es que &lt;b&gt;sí&lt;/b&gt;. La cafeína cuenta con
efectos ergogénicos demostrados, a pesar de que estos varían en función de la
condición del deportista y de la intensidad, duración y tipo de ejercicio.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Es efectiva para &lt;b&gt;mejorar el rendimiento&lt;/b&gt; deportivo &lt;b&gt;en atletas entrenados&lt;/b&gt; que
consuman dosis&amp;nbsp; bajas-moderadas (&lt;b&gt;3-6 mg&lt;/b&gt; de cafeína/kg de peso). &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;b&gt;Los efectos &lt;/b&gt;de la cafeína &lt;b&gt;son mayores&lt;/b&gt; &lt;b&gt;si se consume deshidratada&lt;/b&gt; en forma
de suplementos (cápsulas, tabletas, polvo) en comparación con el café.&amp;nbsp;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Es ergogénica para ejercicios de &lt;b&gt;resistencia máxima sostenida&lt;/b&gt; y es muy
efectiva en pruebas de &lt;b&gt;contrarreloj&lt;/b&gt;.&amp;nbsp;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;span style=&quot;line-height: 115%;&quot;&gt;Es&lt;/span&gt;&lt;span style=&quot;line-height: 115%;&quot;&gt; &lt;/span&gt;&lt;span style=&quot;line-height: 115%;&quot;&gt;también beneficiosa para los ejercicios de
&lt;b&gt;alta intensidad y en deportes de equipo&lt;/b&gt;, como fútbol o rugby, caracterizados
por actividades intermitentes durante periodos largos de tiempo.&amp;nbsp;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;La literatura científica es &lt;b&gt;ambigua&lt;/b&gt; respecto a los efectos de la suplementación
con cafeína en el &lt;b&gt;rendimiento de fuerza y potencia&lt;/b&gt;, por lo que es un área que requiere
de más investigación.&amp;nbsp; Sin embargo &lt;b&gt;me atrevería a afirmar que es útil
también&lt;/b&gt; en este aspecto.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Es también &lt;b&gt;destacable su uso&lt;/b&gt; en algunos fármacos para &lt;b&gt;tratar&lt;/b&gt; problemas como las migrañas o &lt;b&gt;dolores de cabeza&lt;/b&gt;.&amp;nbsp;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Tampoco es extraño encontrarla en algunos &quot;Fatburners&quot; o &lt;b&gt;quemadores de grasa&lt;/b&gt;, que actúan como &lt;b&gt;termogénicos&lt;/b&gt;, elevando el metabolismo basal.&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Todos &lt;b&gt;estos beneficios tienen relación con la capacidad de estimular el
sistema nervioso central&lt;/b&gt;: mantenernos en estado de alerta, su efecto
vasodilatador, o el de mermar la sensación de fatiga.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://2.bp.blogspot.com/-uZbnqN0Y1EA/TkEDA0VUyII/AAAAAAAAAIY/ZsoMldUWi48/s1600/Contenido-cafeina.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;280&quot; src=&quot;http://2.bp.blogspot.com/-uZbnqN0Y1EA/TkEDA0VUyII/AAAAAAAAAIY/ZsoMldUWi48/s400/Contenido-cafeina.jpg&quot; width=&quot;400&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;Os informo de que&amp;nbsp;u&lt;span style=&quot;background-color: white; color: #222222; line-height: 16px;&quot;&gt;na botella de 235 ml de Coca-&lt;/span&gt;&lt;em style=&quot;background-color: white; font-style: normal; font-weight: bold; line-height: 16px;&quot;&gt;Cola&lt;/em&gt;&lt;span style=&quot;background-color: white; color: #222222; line-height: 16px;&quot;&gt;&amp;nbsp;contiene alrededor de 23 mg de&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;background-color: white; font-style: normal; font-weight: bold; line-height: 16px;&quot;&gt;cafeína&lt;/em&gt;&lt;span style=&quot;background-color: white; color: #222222; line-height: 16px;&quot;&gt;, mientras que 235 ml de&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;background-color: white; font-style: normal; font-weight: bold; line-height: 16px;&quot;&gt;café&lt;/em&gt;&lt;span style=&quot;background-color: white; color: #222222; line-height: 16px;&quot;&gt;&amp;nbsp;común, no descafeinado, contienen entre 61 y 164 mg de&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;background-color: white; font-style: normal; font-weight: bold; line-height: 16px;&quot;&gt;cafeína&lt;/em&gt;&lt;wbr style=&quot;background-color: white; color: #222222; line-height: 16px;&quot;&gt;&lt;/wbr&gt;&lt;span style=&quot;background-color: white; color: #222222; line-height: 16px;&quot;&gt;.&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;

&lt;/span&gt;&lt;br /&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;b&gt;Pero no todo iba a ser bueno&lt;/b&gt;, &lt;b&gt;excedernos en su consumo puede provocar
intoxicaciones (en cada persona varía la tolerancia)&amp;nbsp;&lt;/b&gt;que derivan en problemas tales como arritmias, ansiedad,
irritabilidad, palpitaciones y otras muchas que ya habréis sufrido en vuestras
propias carnes…&lt;/span&gt;&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 13.5pt;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: inherit;&quot;&gt;¿Pensáis en tomaros ahora un cafetito antes de entrenar?&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;margin-bottom: 0.0001pt; text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: &#39;Times New Roman&#39;, serif; font-size: 13.5pt;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/4295804389552533637/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/03/cafeina-una-droga-pro-rendimiento.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/4295804389552533637'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/4295804389552533637'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/03/cafeina-una-droga-pro-rendimiento.html' title='¿Cafeína, pro-rendimiento?'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://2.bp.blogspot.com/-uZbnqN0Y1EA/TkEDA0VUyII/AAAAAAAAAIY/ZsoMldUWi48/s72-c/Contenido-cafeina.jpg" height="72" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-8259985858976781501</id><published>2012-02-25T15:33:00.000+01:00</published><updated>2012-03-14T14:50:25.680+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Curiosidades"/><category scheme="http://www.blogger.com/atom/ns#" term="Estética"/><category scheme="http://www.blogger.com/atom/ns#" term="Ganar músculo"/><category scheme="http://www.blogger.com/atom/ns#" term="Nuevas tendencias"/><category scheme="http://www.blogger.com/atom/ns#" term="Perder peso"/><category scheme="http://www.blogger.com/atom/ns#" term="Rendimiento"/><category scheme="http://www.blogger.com/atom/ns#" term="Salud"/><title type='text'>¡CrossFit Training! Un nuevo concepto  con increíbles resultados</title><content type='html'>&lt;br /&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
&lt;span style=&quot;font-size: 14pt; line-height: 115%; text-indent: 35.4pt;&quot;&gt;El&lt;/span&gt;&lt;span style=&quot;text-indent: 35.4pt;&quot;&gt;
&lt;b&gt;CrossFit&lt;/b&gt; supone un concepto de entrenamiento que va más allá de la típica
noción de Fitness.&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
Todo el método
se orienta a un &lt;b&gt;desarrollo de la capacidad&lt;/b&gt; de trabajo mediante &lt;b&gt;la mejora integral
&lt;/b&gt;de la condición física. El incremento de las aptitudes físicas se relaciona con
la utilización de ejercicios intensos, globales, donde la potencia es un
elemento muy relevante. &lt;o:p&gt;&lt;/o:p&gt;&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://fitness.ehoost.com/wp-content/fitness/2012/02/CrossFit-Logo1.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;320&quot; src=&quot;http://fitness.ehoost.com/wp-content/fitness/2012/02/CrossFit-Logo1.jpg&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
Se combinan
sesiones de &lt;b&gt;trabajo aeróbico&lt;/b&gt; (p.e. saltar a la comba), &lt;b&gt;actividades gimnásticas&lt;/b&gt;
(p.e. flexiones verticales) y &lt;b&gt;levantamiento de cargas&lt;/b&gt; externas (p.e. arrancadas).
&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
La
&lt;b&gt;funcionalidad&lt;/b&gt;, &lt;b&gt;generalidad&lt;/b&gt; y la &lt;b&gt;integralidad&lt;/b&gt; del programa lo condicionan como
una excelente rutina para hacer frente a demandas físicas más diversas.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
La &lt;b&gt;seguridad&lt;/b&gt;,
la &lt;b&gt;eficacia&lt;/b&gt; y la &lt;b&gt;eficiencia&lt;/b&gt; son los pilares del método de “fitness basado en la
evidencia”, que es como sus creadores denominan al sistema de estatuto abierto
que utiliza elementos con efectos comprobados y contrastados.&lt;o:p&gt;&lt;/o:p&gt;&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
Otro factor
distintivo del programa es el uso de los resultados del rendimiento como
elemento motivacional y estadístico para el seguimiento de los practicantes, el
concepto de “&lt;b&gt;Deporte del Fitness&lt;/b&gt;”.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
Es una nueva tendencia de entrenamiento muy interesante y cuyos resultados son increíbles. No descarto aprender más y por qué no también, ponerlo en práctica.&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/8259985858976781501/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/02/crossfit-training-un-nuevo-concepto-con.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/8259985858976781501'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/8259985858976781501'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/02/crossfit-training-un-nuevo-concepto-con.html' title='¡CrossFit Training! Un nuevo concepto  con increíbles resultados'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-7898952336623742327</id><published>2012-01-12T23:48:00.002+01:00</published><updated>2013-02-15T00:45:45.882+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Entrenar"/><category scheme="http://www.blogger.com/atom/ns#" term="Estética"/><category scheme="http://www.blogger.com/atom/ns#" term="Ganar músculo"/><category scheme="http://www.blogger.com/atom/ns#" term="Rendimiento"/><title type='text'>Hipertrofia, el secreto del crecimiento de los músculos</title><content type='html'>&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
Es verdad que esta entrada es bastante espesa, pero será interesante para los que busquen respuesta a los interrogantes acerca de&lt;b&gt;&amp;nbsp;la manera en la que nuestros músculos crecen&lt;/b&gt;.&lt;br /&gt;
&lt;div&gt;
Para los que no tengáis tantas ansias de información científica, &lt;b&gt;al final está la parte más práctica&lt;/b&gt; donde se indican los&lt;b&gt; procedimientos mediante los cuales conseguimos el crecimiento&lt;/b&gt; de los músculos.&lt;br /&gt;
&lt;br /&gt;
Para empezar, un poco de &lt;b&gt;anatomía muscular&lt;/b&gt;:&lt;br /&gt;
&lt;br /&gt;
El &lt;b&gt;sarcómero&lt;/b&gt; es la parte del músculo mas pequeña y contráctil del mismo, la unidad más básica y funcional. Está formado por dos proteínas: una de filamentos pesados (&lt;b&gt;miosina&lt;/b&gt;) y otra de filamentos finos (&lt;b&gt;actina&lt;/b&gt;). Para realizar una &lt;b&gt;contracción muscular, estas proteínas deben acercarse&lt;/b&gt; con ayuda del ion calcio Ca++ (mineral esencial para la contracción muscular).&lt;br /&gt;
&lt;br /&gt;
&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;a href=&quot;http://upload.wikimedia.org/wikipedia/commons/thumb/6/6e/Sarcomere.svg/775px-Sarcomere.svg.png&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em; text-align: center;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;247&quot; src=&quot;http://upload.wikimedia.org/wikipedia/commons/thumb/6/6e/Sarcomere.svg/775px-Sarcomere.svg.png&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div&gt;
&lt;br /&gt;
Envolviendo a los sacórmeros, encontramos las microfibrillas musculares, y envolviendo a estas se hallan las fibras musculares, que a su vez están rodeadas de capilares. Ya por ultimo, el músculo engloba estos conjuntos y en cada uno de sus extremos, los tendones son los encargados de unirse a los huesos para transmitir la energía mecánica.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Podríamos descubrir &lt;b&gt;la hipertrofia&lt;/b&gt; como un &lt;b&gt;incremento de la sección transversal del músculo&lt;/b&gt;, pero de una forma mas exacta diremos que se trata de un agrandamiento de las fibras musculares (como consecuencia da un incremento de la talla y numero de miofibrillas), un aumento de la cantidad de tejido conectivo y otros tejidos no contráctiles del músculo (ligamentos, cartílagos y tendones), y un aumento de la vascuralización.&lt;br /&gt;
&lt;br /&gt;
Este conjunto de fenómenos hace que exista un incremento del tamaño de las fibras musculares. Lo que todavía no se ha podido demostrar es que también se produzca un aumento del número de fibras (la duplicidad de las fibras denominada &lt;b&gt;hiperplasia&lt;/b&gt;).&lt;br /&gt;
&lt;br /&gt;
Al realizar contracciones musculares se desencadenan &lt;b&gt;microrrouturas &lt;/b&gt;en las bandas Z de las miofibrillas de la misma longitud del sarcómero (unidad de las células musculares estriadas), esto propicia una recuperación de esas microlesiones reforzando las bandas antiguas lo que lleva a un &lt;b&gt;aumento de la fibra muscular &lt;/b&gt;lo que a su vez se traduce en un &lt;b&gt;incremento muy notable de la fuerza&lt;/b&gt;.&lt;br /&gt;
&lt;br /&gt;
Respecto al aumento del tejido conectivo, es necesario saber que el músculo tiene una parte del tejido no contráctil (este representa aproximadamente entre un 10% – 13% del músculo), un 5% – 7%  del cual es colágeno (tendones y ligamentos).&lt;br /&gt;
&lt;br /&gt;
Cabe destacar que algunos estudios (Mc Dougall, 1979) han observado que en entrenamientos de fuerza, hay una disminución  de la densidad capilar y del volumen de las mitocondrias de la fibra muscular, dejando en evidencia la relación tan desproporcionada de adaptación del músculo frente al sistema capilar.&lt;br /&gt;
&lt;div style=&quot;margin-bottom: 5px; padding-bottom: 0px; padding-left: 0px; padding-right: 0px; padding-top: 5px;&quot;&gt;
&lt;/div&gt;
&lt;h3 style=&quot;background-color: white; color: #333333; font-family: &#39;Trebuchet MS&#39;, &#39;Lucida Grande&#39;, Verdana, Arial, sans-serif; font-size: 1.3em; line-height: 16px; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 30px; padding-bottom: 0px; padding-left: 0px; padding-right: 0px; padding-top: 0px; text-align: left; text-decoration: none;&quot;&gt;




¿Cómo conseguir la hipertrofia muscular?&lt;/h3&gt;
&lt;div style=&quot;background-color: white; color: #343434; font-family: Arial, Helvetica, sans-serif; font-size: 11px; line-height: 16px; margin-bottom: 5px; padding-bottom: 0px; padding-left: 0px; padding-right: 0px; padding-top: 5px; text-align: left;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;br /&gt;
Hay muy variadas &lt;b&gt;formas de entrenar la hipertrofia muscular&lt;/b&gt;. Una de las mas conocidas es la clasica &lt;b&gt;10×10 de Cometti (diez series por diez repeticiones)&lt;/b&gt;. La variación de la intensidad se dará en función de la recuperación  entre series y la carga.&lt;br /&gt;
&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;&lt;a href=&quot;http://www.cosasdesalud.es/images/Conseguir_peso_ideal_antes_ganar_m%C3%BAsculo.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em; text-align: center;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;212&quot; src=&quot;http://www.cosasdesalud.es/images/Conseguir_peso_ideal_antes_ganar_m%C3%BAsculo.jpg&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;br /&gt;
Otro tipo de entrenamiento clásico e&lt;b&gt;s el entrenamiento piramidal  de intensidades comprendidas entre diez y seis repeticiones&lt;/b&gt;, aunque también se puede conseguir una hipertrofia mediante un entrenamiento lineal, practicando un 4×6, 4×8 o 4×10 (en ese tipo de entrenamiento, &lt;b&gt;el número de repeticiones suele tener relación con el tipo de la fibra muscular de la persona&lt;/b&gt; que está entrenando, algo que aunque no se aprecia a simple vista, &amp;nbsp;&lt;b&gt;una persona cualificada podrá determinar después de algunas sesiones&lt;/b&gt; de entrenamiento). Hay que recordar que las fibras musculares rapidas FT o llb se contraen más&amp;nbsp;rápidamente&amp;nbsp; se fatigan antes y generan más fuerza que las de tipo 1 lentas ST. La&amp;nbsp;clasificación&amp;nbsp;de la fibra muscular depende del tipo de miosina del sarcomero (en las fibras&amp;nbsp;rápidas&amp;nbsp;, la miosina es capaz de hidrolizar rapidamente el ATP, mientras que cuando esto sucede de forma más pausada, hablaremos de fibras lentas).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Respecto al &lt;b&gt;tiempo de recuperación &lt;/b&gt;entre series, es importante que no exceda los dos minutos, (este parámetro varia en función de cada individuo 30&quot;/2&#39;, entendiéndose como ideal el minuto de descanso) Se debe a que lo que buscamos es una congestión del músculo. Diferente sería si nuestro objetivo se centrara en la adquisición de fuerza máxima cuyo entrenamiento requiere unas recuperaciones completas para poder desarrollar picos de casi al 100% de la fuerza en todo el entrenamiento.&lt;/div&gt;
&lt;div&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div&gt;
&lt;b&gt;Para cualquier duda o pregunta, dejen comentario o contacten personalmente conmigo.&lt;/b&gt;&lt;/div&gt;
&lt;div&gt;
¡Espero que os resultara interesante y práctico!&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;/div&gt;
</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/7898952336623742327/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2012/01/es-verdad-que-esta-entrada-es-bastante.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/7898952336623742327'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/7898952336623742327'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2012/01/es-verdad-que-esta-entrada-es-bastante.html' title='Hipertrofia, el secreto del crecimiento de los músculos'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-1321424813655977700</id><published>2011-12-06T14:32:00.001+01:00</published><updated>2012-11-26T20:30:19.983+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Abdomen"/><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Entrenar"/><category scheme="http://www.blogger.com/atom/ns#" term="Estética"/><category scheme="http://www.blogger.com/atom/ns#" term="Nuevas tendencias"/><category scheme="http://www.blogger.com/atom/ns#" term="Salud"/><title type='text'>Claves del entrenamiento abdominal. [Parte I]</title><content type='html'>&lt;br /&gt;
&lt;h2&gt;



&lt;span class=&quot;Apple-style-span&quot; style=&quot;font-size: 19px;&quot;&gt;Abdominales tradicionales Vs. Abdominales hipopresivos.&lt;/span&gt;&lt;/h2&gt;
&lt;h3&gt;



&lt;o:p&gt;&lt;/o:p&gt;&lt;/h3&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;&quot;&gt;
Las últimas tendencias en trabajo abdominal tachan al
&lt;b&gt;método tradicional&lt;/b&gt; de entrenamiento abdominal como &lt;b&gt;perjudicial e incluso
peligroso&lt;/b&gt; queriéndolos eliminar por completo de los programas de entrenamiento.
&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-justify: inter-ideograph;&quot;&gt;
&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;En
mi opinión, hemos alcanzado un punto de inflexión en el que &lt;b&gt;deberíamos
replantearnos la eficacia de ambos métodos &lt;/b&gt;ya que los dos acarrean problemas en
nuestra fisiología corporal. &lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-justify: inter-ideograph;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-justify: inter-ideograph;&quot;&gt;
&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Los
acérrimos &lt;b&gt;seguidores del método hipopresivo&lt;/b&gt; nos abruman con investigaciones que
&lt;b&gt;desvalorizan el método tradicional&lt;/b&gt;, aquí dejo una lista con algunas de las
&lt;b&gt;conclusiones&lt;/b&gt; de estas investigaciones.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-justify: inter-ideograph;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: center;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-justify: inter-ideograph;&quot;&gt;
&lt;v:shapetype coordsize=&quot;21600,21600&quot; id=&quot;_x0000_t202&quot; o:spt=&quot;202&quot; path=&quot;m,l,21600r21600,l21600,xe&quot;&gt;
 &lt;v:stroke joinstyle=&quot;miter&quot;&gt;
 &lt;v:path gradientshapeok=&quot;t&quot; o:connecttype=&quot;rect&quot;&gt;
&lt;/v:path&gt;&lt;/v:stroke&gt;&lt;/v:shapetype&gt;&lt;v:shape filled=&quot;f&quot; id=&quot;_x0038__x0020_Cuadro_x0020_de_x0020_texto&quot; o:gfxdata=&quot;UEsDBBQABgAIAAAAIQDI4TOSFQEAAFICAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbKSSTW7DIBCF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&quot; o:spid=&quot;_x0000_s1026&quot; stroked=&quot;f&quot; strokeweight=&quot;.5pt&quot; style=&quot;height: 184.15pt; left: 0; margin-left: -254.15pt; margin-top: 28.3pt; mso-position-horizontal-relative: text; mso-position-horizontal: absolute; mso-position-vertical-relative: text; mso-position-vertical: absolute; mso-width-percent: 0; mso-width-percent: 0; mso-width-relative: margin; mso-wrap-distance-bottom: 0; mso-wrap-distance-left: 9pt; mso-wrap-distance-right: 9pt; mso-wrap-distance-top: 0; mso-wrap-style: square; position: absolute; text-align: left; v-text-anchor: top; visibility: visible; width: 51.05pt; z-index: 251660288;&quot; type=&quot;#_x0000_t202&quot;&gt;
 &lt;v:textbox&gt;
  &lt;/v:textbox&gt;
&lt;/v:shape&gt;&lt;span style=&quot;height: 249px; left: 0px; margin-left: -339px; margin-top: 38px; position: absolute; width: 72px; z-index: 251660288;&quot;&gt;&lt;img alt=&quot;Cuadro de texto: Problemas de los abdoinales tradicionales&quot; class=&quot;shape&quot; height=&quot;249&quot; src=&quot;file:///C:/Users/Pa/AppData/Local/Temp/msohtmlclip1/01/clip_image001.png&quot; v:dpi=&quot;96&quot; v:shapes=&quot;_x0038__x0020_Cuadro_x0020_de_x0020_texto&quot; width=&quot;72&quot; /&gt;&lt;/span&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Tras la lectura
de estos impactantes datos, es normal que no queramos realizar ni un “crunch” o
“curl-up” más. Lo están consiguiendo, &lt;b&gt;estamos abandonando el trabajo de
contracción &lt;/b&gt;de nuestros músculos abdominales para introducir esta nueva y
compleja tendencia. &lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;&quot;&gt;
Hay que tener presente que &lt;b&gt;estas investigaciones no están
cien por cien avaladas&lt;/b&gt; y &lt;b&gt;aunque fueran ciertas, no deberíamos abandonar los
programas de ejercitación abdominal tradicional&lt;/b&gt;, más adelante descubriremos
porqué. &lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;&quot;&gt;
Los flexores de la cadera son fuertes, mientras que los
abdominales generalmente son más débiles y menos resistentes que estos. Por
tanto encontramos un &lt;b&gt;desequilibrio muscular&lt;/b&gt; donde los músculos más fuertes
sustituirán la función de los más débiles: &lt;span class=&quot;Ttulo4Car&quot;&gt;&lt;i&gt;Ley del más
fuerte.&lt;/i&gt;&lt;/span&gt;&lt;span class=&quot;Ttulo2Car&quot;&gt;&lt;span style=&quot;font-size: 12pt; line-height: 115%;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;&quot;&gt;
&lt;span class=&quot;Ttulo4Car&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-justify: inter-ideograph;&quot;&gt;
&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Así
por ejemplo, una persona con debilidad en la zona abdominal no podrá realizar
correctamente un movimiento de incorporación con el tronco flexionado
efectuándolo con la parte baja de la espalda hiperextendida. La repetición de
este movimiento supone un acortamiento excesivo en los músculos flexores de la
cadera, cargando la zona lumbar y desembocando en incómodas molestias. Por esta
razón es por la que debemos cuidar esta zona, previniendo debilidades a largo
plazo y &lt;b&gt;lo que es más importante&lt;/b&gt;: &lt;span class=&quot;Ttulo4Car&quot;&gt;tratando de &lt;b&gt;conseguir
un equilibrio entre los flexores abdominales y los flexores de la cadera.&lt;/b&gt;&lt;/span&gt;&lt;span class=&quot;Ttulo2Car&quot;&gt;&lt;span style=&quot;color: #297fd5; line-height: 115%;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoCaption&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;h3&gt;



La importancia de un buen programa de abdominales específicos. La
unificación.&lt;o:p&gt;&lt;/o:p&gt;&lt;/h3&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-justify: inter-ideograph;&quot;&gt;
&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Llegados
a este punto, nos encontramos con la necesidad de incluir el entrenamiento
abdominal en las sesiones de entrenamiento diarias, permitiendo crear una
&lt;b&gt;sólida base que impida el desarrollo de este tipo de lesiones&lt;/b&gt;. Pero claro,
ahora topamos con el problema de que ejercitar los abdominales de manera
tradicional conlleva una serie de riesgos bastante importantes, pero por otro
lado, si no los ejercito, sufriré descompensaciones. &lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-justify: inter-ideograph;&quot;&gt;
Como
solución al dilema, &lt;b&gt;hemos elaborado este programa en el que trataremos de
unificar las dos tendencias de entrenamiento abdominal en un mismo programa&lt;/b&gt;,
combinando &lt;b&gt;ejercicios clásicos &lt;/b&gt;(flexiones de cadera) o hiperpresivos &lt;b&gt;y de nueva
tendencia&lt;/b&gt; o hipopresivos. &lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-justify: inter-ideograph;&quot;&gt;
Mediante
esta unificación lograremos extraer lo mejor de cada tendencia, siendo cada
ejercicio una parte esencial dentro del programa.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-justify: inter-ideograph;&quot;&gt;
&lt;br /&gt;
Por: Álvaro López Escalona.&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-justify: inter-ideograph;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-justify: inter-ideograph;&quot;&gt;
En unos días publicaremos &lt;b&gt;la segunda la parte&lt;/b&gt;... Mientras&amp;nbsp;coméntanos: &lt;b&gt;¿Qué opinas acerca de los abdominales? ¿Los ejercitas lo suficiente? ¿&amp;nbsp;Confías&amp;nbsp;en los métodos modernos o eres más convencional?&lt;/b&gt;&lt;/div&gt;
&lt;h3&gt;



&lt;o:p&gt;&amp;nbsp;&lt;/o:p&gt;&lt;/h3&gt;
</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/1321424813655977700/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2011/12/claves-del-entrenamiento-abdominal.html#comment-form' title='1 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/1321424813655977700'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/1321424813655977700'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2011/12/claves-del-entrenamiento-abdominal.html' title='Claves del entrenamiento abdominal. [Parte I]'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-7869571656864907804</id><published>2011-09-11T13:18:00.000+02:00</published><updated>2012-12-18T00:07:07.531+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Entrenar"/><category scheme="http://www.blogger.com/atom/ns#" term="Estética"/><category scheme="http://www.blogger.com/atom/ns#" term="Fisiología"/><category scheme="http://www.blogger.com/atom/ns#" term="Ganar músculo"/><category scheme="http://www.blogger.com/atom/ns#" term="Proteínas"/><category scheme="http://www.blogger.com/atom/ns#" term="Rendimiento"/><title type='text'>La verdad acerca de las proteínas [Parte II]</title><content type='html'>Aquí está la segunda parte de&lt;b&gt;&lt;i&gt; &lt;a href=&quot;http://enformaponte.blogspot.com/2011/09/la-verdad-acerca-de-las-proteinasparte.html&quot;&gt;La verdad acerca de las proteínas.&lt;/a&gt;&lt;/i&gt;&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
Anteriormente ya vimos una pequeña introducción acerca de la importancia de estos nutrientes en nuestros organismos pero &lt;b&gt;se quedaron en el tintero algunas cuestiones&lt;/b&gt; que ahora intentaremos aclarar.&lt;br /&gt;
&lt;br /&gt;
Ya somos capaces de estimar la cantidad necesaria de proteínas según la actividad física que realicemos, y también hemos comprendido que no conlleva ningún tipo de riesgo para la salud consumir suplementos proteínicos (siempre y cuando &lt;b&gt;no excedamos las cantidades recomendadas&lt;/b&gt;, llevemos a cabo una &lt;b&gt;hidratación óptima&lt;/b&gt; y &lt;b&gt;no sobrecarguemos nuestro hígado&lt;/b&gt; con la ingesta de alcohol u otros tóxicos...).&lt;br /&gt;
&lt;br /&gt;
Ahora llega el momento de plantearnos&amp;nbsp; &lt;b&gt;si de verdad son necesarios los suplementos a la hora de hacer crecer el músculo&lt;/b&gt; ya que &lt;b&gt;suelen ser sustancias caras&lt;/b&gt;, derivados de productos como la leche, el huevo, la soja... que pueden parecer algo cotidiano aunque para su fabricación es necesario un procesamiento bastante meticuloso que encarece el producto.&lt;br /&gt;
&lt;br /&gt;
&lt;a href=&quot;http://www.xenicare.cl/new/images/alimentacion/piramide.gif&quot; imageanchor=&quot;1&quot; style=&quot;clear: right; float: right; margin-bottom: 1em; margin-left: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;240&quot; src=&quot;http://www.xenicare.cl/new/images/alimentacion/piramide.gif&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;b&gt;¿Tendré  suficiente con el aporte de mi dieta o necesitaré tomar suplementos tipo  batido de proteínas?&lt;/b&gt; &lt;br /&gt;
Una persona de &lt;b&gt;80 kg&lt;/b&gt;. de peso que se ejercite 3 veces en semana podría necesitar en torno a &lt;b&gt;150 gr. de proteína diariamente en su dieta&lt;/b&gt;, por lo tanto si es capaz de ingerir alimentos de calidad que le aporten tal cantidad habrá visto satisfechas sus necesidades de proteínas. Además si se hace con una alimentación cuidada, con la ingesta aportaremos a nuestro organismo otros &lt;b&gt;oligoelementos&lt;/b&gt; como minerales (magnesio, zinc, potasio...) &lt;b&gt;muy necesarios&lt;/b&gt; ya no solo para la formación muscular sino para el correcto funcionamiento de nuestros cuerpos.&lt;br /&gt;
Ahorraríamos dinero y no tendremos un déficit de otros nutrientes.&lt;br /&gt;
&lt;br /&gt;
Ahora si, &lt;b&gt;uno de los beneficios que nos conceden estos suplementos &lt;/b&gt;es la facilidad y rapidez en su ingesta, si no tenemos el tiempo suficiente para preparanos las comidas, o simplemente no nos gusta estar todo el día pendiente de lo que debemos comer para llegar a esa cantidad de proteínas/kcal al día podemos optar por la comodidad que nos ofrecen estos productos procesados. Teniendo siempre presentes que&lt;b&gt; se tratan de suplementos y en ningún momento deben convertirse en un sustituto de nuestras dietas.&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
En caso de utilizarlos &lt;b&gt;¿Cuándo debo tomarlos, antes del ejercicio, después...?&lt;/b&gt;&lt;br /&gt;
En este tema, hay una cierta controversia. Pero podría asegurarte que &lt;b&gt;depende del tipo de proteína&lt;/b&gt; que tomes&lt;b&gt; &lt;/b&gt;ya que no es lo mismo tomar una proteína de suero, de huevo, de soja...&lt;br /&gt;
&lt;b&gt;Lo que infiere en esto es la velocidad de absorción. &lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Lenta absorción:&lt;/b&gt; el organismo las asimila a lo largo de las siguientes 4 horas de promedio después de su consumo, esto se debe a que son un poco mas difíciles de digerir para el organismo pero nos brinda un aporte más sostenido durante las siguientes horas.&lt;br /&gt;
Alimentos que la contienen: Huevo, caseinato de calcio, quesos grasos.&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Rápida absorción:&lt;/b&gt; el organismo las asimila en cuanto inicia su descomposición en el intestino, esto es a los pocos minutos de tomarse. &lt;br /&gt;
Alimentos que la contienen: Leche (Suero de leche), pescado (atún), soja.&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;¿Entonces, cuál es el momento adecuado para consumir cada tipo de proteína?&lt;/b&gt;&lt;br /&gt;
&lt;b&gt;Antes de entrenar&lt;/b&gt;: para garantizar que llegado cierto momento nuestro organismo no utilice las proteínas musculares para obtener energía, prodíamos tomar una de absorción media-rápida (suero o whey).&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Después de entrenar:&lt;/b&gt; durante los 30 minutos después de acabar el entrenamiento, se abre la llamada ventana anabólica. En este momento debemos darle a nuestro cuerpo todos los nutrientes que sean posibles (azúcares y proteínas), ya que impedirán que se produzca catabolismo muscular (destrucción del músculo). La más adecuada para este momento es la proteína de suero aislada, de rápida absorción.&lt;br /&gt;
Cuidado con las dosis ya que no es tampoco conveniente que centremos todo el consumo de proteínas diario a la hora de entrenar, ya que quizás estemos sobreentrenando, valga la redundancia, a nuestro sistema renal y hepático.&lt;br /&gt;
&lt;br /&gt;
Una &lt;b&gt;gran cantidad de estudios&lt;/b&gt; han demostrado que consumir proteína inmediatamente antes y después de entrenar aumenta la masa muscular, las reservas de glucógeno y el índice de quema de grasas.&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Un método que resulta también muy interesante&lt;/b&gt; consiste en acabar la sesión de musculación, ingerir azúcares y proteínas y realizar ejercicios aeróbicos como correr, hacer elíptica, o bicicleta. De esta manera las proteínas llegarán a las fibras musculares al ser estas irrigadas por la sangre en circulación durante el ejercicio de una forma más eficiente.&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;¿Que pensáis acerca de tomar proteína antes de irse a dormir?&lt;/b&gt;&amp;nbsp;a partir de este momento, pasaremos muchas horas aporte de aminoácidos. Por ello puede ser aconsejable usar una de liberación gradual o de absorción lenta (de caseína o de soja*).&lt;br /&gt;
&lt;br /&gt;
*La proteína de soja, a pesar de su precio, no es la más recomendable ya que no posee mucho valor biológico...&lt;br /&gt;
&lt;br /&gt;
No quiero liarme más por no hacer una tercera parte, pero &lt;b&gt;si tenéis más dudas&lt;/b&gt;,&lt;b&gt; preguntas, o queréis consultar algo, dejadlo en comentarios, o contactad conmigo.&amp;nbsp;&lt;/b&gt;&lt;br /&gt;
&lt;b&gt;¡Espero que os resultara interesante!&amp;nbsp;&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
¿Y tú?, ¿Consumes suplementos de proteína? ¿Q&lt;b&gt;ué piensas&lt;/b&gt; acerca de ellos?, intercambiemos opiniones.</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/7869571656864907804/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2011/09/la-verdad-acerca-de-las-proteinas-parte.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/7869571656864907804'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/7869571656864907804'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2011/09/la-verdad-acerca-de-las-proteinas-parte.html' title='La verdad acerca de las proteínas [Parte II]'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-6255306544962527646</id><published>2011-09-07T14:23:00.004+02:00</published><updated>2012-12-17T23:55:36.712+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Entrenar"/><category scheme="http://www.blogger.com/atom/ns#" term="Estética"/><category scheme="http://www.blogger.com/atom/ns#" term="Fisiología"/><category scheme="http://www.blogger.com/atom/ns#" term="Ganar músculo"/><category scheme="http://www.blogger.com/atom/ns#" term="Proteínas"/><category scheme="http://www.blogger.com/atom/ns#" term="Rendimiento"/><title type='text'>La verdad acerca de las proteínas[Parte I]</title><content type='html'>&lt;b&gt;Las proteínas, &lt;/b&gt;junto con los carbohidratos y las grasas son un &lt;b&gt;nutriente básico&lt;/b&gt; en nuestras vidas, realizan &lt;b&gt;funciones&lt;/b&gt; muy diversas e importantes como la inmunológica, la contráctil, la homeostática, y la que más nos interesa a todos los que nos gusta estar bien formaditos: &lt;b&gt;la estructural. &lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
Habremos oído hablar acerca de &lt;b&gt;la relación entre las proteínas y el músculo&lt;/b&gt;, y a pesar de ser difícil saber todo sobre esta cuestión intentaremos resolver&amp;nbsp; algunas de las preguntas más típicas que os rondarán la mente...si voy al gimnasio para  hacer crecer mis músculos, &lt;b&gt;¿Cuántas proteínas debo consumir? ¿Tendré  suficiente con el aporte de mi dieta o necesitaré tomar suplementos tipo  batido de proteínas? ¿Resultan perjudiciales estos batidos? ¿Cuándo  puedo tomarlos, antes del ejercicio, después?&lt;/b&gt;....&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;¿Cuántas proteínas debo consumir?&amp;nbsp;&lt;/b&gt;&lt;br /&gt;
Tenemos que tener claro que &lt;b&gt;el aporte protéico necesario para cada  persona &lt;/b&gt;no es único e inflexible, así es que un &lt;b&gt; individuo sedentario&lt;/b&gt; que apenas practique deporte estará bien servido  con alrededor de un&lt;b&gt; 0,6gr a 0,8gr de proteína por kg&lt;/b&gt;. de peso corporal,  sin embargo, varía bastante en función de la edad, el sexo, o la  actividad, por tanto &lt;b&gt;si eres deportista o realizas ejercicio  habitualmente &lt;/b&gt;es muy probable que tu metabolismo protéico esté aumentado y &lt;b&gt;necesitarás más  proteínas&lt;/b&gt; (superando 1gr. x kg. de peso o 1,7gr en deportes de fuerza),  paradójicamente los deportistas de resistencia, como los maratonianos y  ultramaratonianos(a pesar de verse tan &quot;flacuchos&quot; y fibrados) requieren más cantidad que la mayoría de deportistas  ya que se someten a un desgaste mucho más intenso. Y &lt;b&gt;cuando hablamos de  culturismo (de élite, no de gimnasio de barrio) oscilan entre los 2,5-3 gr x kg. &lt;/b&gt;incluso llegan a 4gr.&lt;br /&gt;
&lt;b&gt;Las cantidades que debemos consumir si entrenamos en el gimnasio y luchamos para que nuestros músculos crezcan&lt;/b&gt;  es variable como ya hemos comentado pero&lt;b&gt; resulta más que suficiente  1,5-2,0gr. x kg. de peso corporal, &lt;/b&gt;en función de nuestra anotomía. Todo  exceso de estas cantidades será proteína desaprovechada, que además en ciertos casos nos  puede resultar dañina. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;a href=&quot;http://www.ejerciciosconpesas.es/wp-content/uploads/2010/03/Batido-de-proteinas-de-chocolate.jpg&quot; imageanchor=&quot;1&quot; style=&quot;clear: left; float: left; margin-bottom: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; src=&quot;http://www.ejerciciosconpesas.es/wp-content/uploads/2010/03/Batido-de-proteinas-de-chocolate.jpg&quot; /&gt;&lt;/a&gt;Bueno...&lt;b&gt;¿Resultan perjudiciales estos batidos?&lt;/b&gt;&lt;br /&gt;
Lo primero que me veo obligado a decir es que a pesar de la creencia popular, u&lt;b&gt;n batido de proteínas no es más que un suplemento alimenticio&lt;/b&gt;, es decir, una sustancia dedicada a suplir las carencias nutricionales que no somos capaces de cubrir con nuestra dieta normal. &lt;b&gt;No por tomar batidos de proteínas te estás hormonando, no son anabolizantes ni mucho menos&lt;/b&gt;, &lt;b&gt;si no se abusa &lt;/b&gt;de ellos &lt;b&gt;no tiene porqué ser perjudicial&lt;/b&gt; para nuestra salud. Según ciertos estudios se establece que cuando se ingieren&lt;b&gt; más de 2 gramos por kilo corporal&lt;/b&gt;, hasta 2.5, &lt;b&gt;el exceso es convertido en forma de tejido adiposo (suponemos que por el sobrante energético no útil).&lt;/b&gt;&lt;br /&gt;
&lt;b&gt;Aunque a pesar de que estudios actuales proponen que los excesos de proteínas no nos llevarán a un riesgo serio para nuestra salud&lt;/b&gt;, si se sobrepasa los 3 gr por kilo corporal, con bastante seguridad estaremos, cuanto menos, desaprovechando el dinero..., &lt;b&gt;OJO a consumir suplementos de proteína y beber alcohol &lt;/b&gt;pues estaremos forzando sobremanera nuestro hígado.&lt;br /&gt;
&lt;br /&gt;
Pero.. entonces &lt;b&gt;¿Por qué algunos culturistas toman hasta 4 g/kg de peso y siguen &quot;sanos&quot;?&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;a href=&quot;http://multysalud.com/wp-content/uploads/2011/04/proteinas.jpg&quot; style=&quot;clear: right; float: right; margin-bottom: 1em; margin-left: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;180&quot; src=&quot;http://multysalud.com/wp-content/uploads/2011/04/proteinas.jpg&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;Cada cuerpo es un mundo, la absorción de proteínas depende de múltiples factores y para lo que uno es exceso para otro no es ni siquiera suficiente. En el culturismo es indispensable conocer nuestro propio cuerpo para sacarle el mayor provecho posible, no hay reglas universales, no somos maquinas idénticas.&lt;br /&gt;
&lt;br /&gt;
&amp;nbsp; &lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Para saber más&lt;/b&gt; sobre este tema &lt;b&gt;espera la segunda parte&lt;/b&gt; en la cual hablaremos acerca de si &lt;b&gt;son necesarios los batidos o nos basta con la ingesta de nuestra dieta, cuándo tomarlos en el caso de que sean necesarios, o la verdad acerca de por qué crece el músculo... o lee la interesante entrada de &lt;a href=&quot;http://gpasiondeportiva.blogspot.com/2011/09/ayudas-ergogenicas.html&quot;&gt;ayudas ergogénicas&lt;/a&gt; de mi compañero &lt;a href=&quot;http://www.blogger.com/profile/00347126670283668424&quot;&gt;Félix Urruchi.&lt;/a&gt;&lt;/b&gt;</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/6255306544962527646/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2011/09/la-verdad-acerca-de-las-proteinasparte.html#comment-form' title='2 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/6255306544962527646'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/6255306544962527646'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2011/09/la-verdad-acerca-de-las-proteinasparte.html' title='La verdad acerca de las proteínas[Parte I]'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>2</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-67874509089648581</id><published>2011-09-05T14:38:00.004+02:00</published><updated>2012-12-16T21:20:43.984+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Entrenar"/><category scheme="http://www.blogger.com/atom/ns#" term="Estética"/><category scheme="http://www.blogger.com/atom/ns#" term="Perder peso"/><category scheme="http://www.blogger.com/atom/ns#" term="Rendimiento"/><category scheme="http://www.blogger.com/atom/ns#" term="Salud"/><title type='text'>¡Quema más grasa y mejor! (HIIT) High Intensity Interval Training</title><content type='html'>&lt;div style=&quot;clear: left; float: left; margin-bottom: 1em; margin-right: 1em; text-align: left;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
Muy buenas, voy a tratar un tema que creo que a todos le habrá interesado en algún momento de su vida y que nos suele dar algún que otro quebradero de cabeza... &lt;b&gt;LA QUEMA DE GRASA.&amp;nbsp;&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
Cuando hablamos de &lt;b&gt;quemar esa grasa que nos sobra&lt;/b&gt; solemos pensar directamente en una cosa: salir a &lt;b&gt;correr, &lt;/b&gt;(lo que solemos entende como &quot;correr&quot; consiste en realizar un &lt;b&gt;ejercicio aeróbico&lt;/b&gt; a una intensidad regular durante un período de tiempo medio-largo). La verdad es que hay muchísimos&lt;b&gt; más&amp;nbsp;métodos (y más efectivos)&amp;nbsp;de los cuales hablaremos&lt;/b&gt; en futuras entradas pero al fin y al cabo, el ya mencionado es bastante cómodo, y apenas requiere unas buenas zapatillas deportivas (si me apuráis ni eso, ejem, barefoot running, ejem).&lt;br /&gt;
&lt;br /&gt;
No sé a vosotros, pero no yo soy un entusiasta de las largas carreras a ritmo lento donde utilizamos como principal sustrato energético la grasa... no me hace demasiado chiste tener como rutina correr durante largos períodos de tiempo, supongo que habrá más de uno que esté en mi misma situación.&lt;br /&gt;
&lt;br /&gt;
Por eso mismo voy a compartir con vosotros &lt;b&gt;UN MÉTODO&lt;/b&gt; &lt;b&gt;MÁS DINÁMICO&lt;/b&gt;, &lt;b&gt;MENOS ABURRIDO&lt;/b&gt;, con el cual &lt;b&gt;QUEMAREMOS UNA MAYOR CANTIDAD DE CALORÍAS&lt;/b&gt; y&lt;b&gt; EN UN TIEMPO MENOR&lt;/b&gt;.&lt;br /&gt;
&lt;br /&gt;
Se le conoce como &lt;b&gt;(HIIT)&lt;/b&gt; que se corresponden con las siglas en inglés de: &lt;b&gt;Entrenamiento Interválico de Alta Intensidad&lt;/b&gt;.&lt;br /&gt;
&lt;br /&gt;
Es un método de &lt;b&gt;entrenamiento utilizado por atletas y deportistas de élite&lt;/b&gt;, y se requiere un &lt;b&gt;mínimo de condición física para llevarlo a cabo&lt;/b&gt;, sin embargo, &lt;b&gt;adaptado&lt;/b&gt; a las capacidades de cada persona pienso que &lt;b&gt;todo el mundo podría entrenar de este modo&lt;/b&gt;.&lt;br /&gt;
&lt;table cellpadding=&quot;0&quot; cellspacing=&quot;0&quot; class=&quot;tr-caption-container&quot; style=&quot;float: right; margin-left: 1em; text-align: right;&quot;&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style=&quot;text-align: center;&quot;&gt;&lt;a href=&quot;http://www.guiafitness.com/wp-content/sports_instr.jpg&quot; imageanchor=&quot;1&quot; style=&quot;clear: right; margin-bottom: 1em; margin-left: auto; margin-right: auto;&quot;&gt;&lt;img border=&quot;0&quot; src=&quot;http://www.guiafitness.com/wp-content/sports_instr.jpg&quot; /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;tr-caption&quot; style=&quot;text-align: center;&quot;&gt;Lo ideal resulta controlar la intensidad con un pulsómetro.&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;b&gt;&lt;br /&gt;
&lt;/b&gt;&lt;br /&gt;
&lt;b&gt;La idea es sencilla&lt;/b&gt;: en vez de salir a correr durante &lt;b&gt;60 minutos&lt;/b&gt; a un ritmo&lt;b&gt; &lt;/b&gt;constante, corre &lt;b&gt;5&#39; &lt;/b&gt;a intensidad moderada, &lt;b&gt;2&#39; 30&quot;&lt;/b&gt; a intensidad elevada, y vuelve a repetir la serie.&amp;nbsp;Haciendo&amp;nbsp;esto, &lt;b&gt;en la mitad de tiempo&lt;/b&gt; habrás trabajado tu &lt;b&gt;capacidad aeróbica&lt;/b&gt; (ritmos baja intensidad, trabajar con aporte de &lt;i&gt;O&lt;sub&gt;2&lt;/sub&gt;&lt;/i&gt; al músculo) , tu &lt;b&gt;capacidad anaeróbica &lt;/b&gt;(ritmos alta intensidad, sin aporte de &lt;i&gt;O&lt;sub&gt;2 &lt;/sub&gt;&lt;/i&gt;al músculo y&amp;nbsp;producción&amp;nbsp;de lactato [hablaremos su relación con el crecimiento muscular y la hormona del crecimiento]), &lt;b&gt;al tiempo que quemas más calorías&lt;/b&gt; &lt;b&gt;durante&lt;/b&gt; el ejercicio, &lt;b&gt;tras el ejercicio&lt;/b&gt; y por si no era suficiente &lt;b&gt;trabajas aún más los músculos de las piernas.&lt;/b&gt;&lt;br /&gt;
&lt;b&gt;&lt;br /&gt;&lt;/b&gt;
&amp;nbsp;&lt;img border=&quot;0&quot; height=&quot;242&quot; src=&quot;http://www.efdeportes.com/efd115/consumo03.gif&quot; width=&quot;400&quot; /&gt;&lt;br /&gt;
&lt;br /&gt;
Destacar que &lt;b&gt;los tiempos&lt;/b&gt; de cada intervalo &lt;b&gt;son orientativos&lt;/b&gt; y &lt;b&gt;deberían adaptarse a&lt;/b&gt; la forma física de &lt;b&gt;cada persona&lt;/b&gt;, así para alguien desentrenado sería correcto trotar durante 4 minutos y correr 30 segundos o 40 segundos. &lt;b&gt;Cada uno conoce sus limitaciones y posibilidades.&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Una manera más divertida de consumir grasa, que economiza tiempo, y se adapta mejor a las exigencias deportivas generales, al tiempo que resulta más eficiente que entrenar solo con ejercicios aeróbicos o anaeróbicos.&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
Espero que os haya resultado interesante y os animéis a probarlo, si tenéis &lt;b&gt;alguna duda o pregunta, podéi comentarla abajo.&lt;/b&gt;&lt;br /&gt;
Un saludo.&lt;br /&gt;
&lt;br /&gt;</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/67874509089648581/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2011/09/quema-mas-grasa-y-mejor-hiit-high.html#comment-form' title='2 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/67874509089648581'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/67874509089648581'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2011/09/quema-mas-grasa-y-mejor-hiit-high.html' title='¡Quema más grasa y mejor! (HIIT) High Intensity Interval Training'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>2</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-5286955689609558922</id><published>2011-08-25T15:07:00.002+02:00</published><updated>2012-12-18T00:25:23.644+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Curiosidades"/><category scheme="http://www.blogger.com/atom/ns#" term="Fisiología"/><category scheme="http://www.blogger.com/atom/ns#" term="Hormonas"/><category scheme="http://www.blogger.com/atom/ns#" term="Salud"/><title type='text'>¡Engánchate a las endorfinas!</title><content type='html'>Hoy voy a acercar un tema bastante curioso y que no todo el mundo conoce... se trata de las &lt;b&gt;endorfinas&lt;/b&gt;.&lt;br /&gt;
&lt;br /&gt;
Estas sustancias desde el punto de vista bioquímico son pétidos opioides que se producen en el Sistema Nervioso Central cuando existe la estimulación necesaria. (&lt;b&gt;No os asustéis&lt;/b&gt;)&lt;br /&gt;
&lt;br /&gt;
Se dice que son &lt;b&gt;opioides&lt;/b&gt; ya que producen efectos similares a los opiaceos (heroína, opio, morfina...), pero claro está, sin consecuencias negativas, por lo que se conocen como las &lt;b&gt;hormonas de la felicidad.&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
Son consideracadas casi como una &lt;b&gt;droga endógena&lt;/b&gt;, es decir que actúan a nivel cerebral modulando nuestras sensaciones y nuestro cuerpo las fabrica por sí solo.&lt;br /&gt;
&lt;br /&gt;
Los efectos que provoca son algo tan natural para nosotros que apenas nos damos cuenta... nadie se ha preguntado nunca&lt;b&gt; ¿Por qué nos arrascamos? &lt;/b&gt;Logicamente porque nos pica, pero ese placer que sentimos al hacerlo se debe a la liberación de endorfinas, aunque a un nivel muy bajo en comparación con la cantidad que se libera durante otras actividades.&lt;br /&gt;
&lt;b&gt;&lt;br /&gt;
&lt;/b&gt;&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://altered-states.net/barry/newsletter449/endorphine.jpg&quot; imageanchor=&quot;1&quot; style=&quot;clear: right; float: right; margin-bottom: 1em; margin-left: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;256&quot; src=&quot;http://altered-states.net/barry/newsletter449/endorphine.jpg&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;b&gt;El deporte&lt;/b&gt; nos hace sentir bien, alegres, relajados, nos libera del estrés, etc. porque con la actividad física nos drogamos... de &lt;b&gt;ENDORFINAS&lt;/b&gt;. Se ha comprobado que el ejercicio también estimula la producción de algunos neurotransmisores como &lt;b&gt;la serotonina&lt;/b&gt;, que en acción conjunta provocan un estado de euforia y aumento de la autoestima.&lt;br /&gt;
&lt;br /&gt;
Sin embargo,&lt;b&gt; no solo practicarlo nos hace sentirnos bien&lt;/b&gt;, cuando estamos viendo a nuestro equipo marcar el gol de la victoria en el último minuto, o un triple ganador de mi base preferido, cuando el boxeador al que seguimos derriba a su oponente tras una buena combinación de golpes... todas esas acciones nos hacen emocionarnos, se produce un &lt;b&gt;fuerte pico en el nivel de endorfinas&lt;/b&gt; en nuestro cuerpo.&lt;br /&gt;
&lt;br /&gt;
Otra gran emoción que nos suscita a experimentar esta euforia por el mismo motivo hormonal es &lt;b&gt;el amor&lt;/b&gt;, hablo de sentirlo, a la hora de practicarlo ya la cantidad se desborda... a través del tacto se consigue experimentar&lt;b&gt; altos niveles de estas hormonas&lt;/b&gt; tan agradables (además de otras muchas como la oxitocina).&lt;br /&gt;
Incluso, reír,&amp;nbsp; la sugestión o la evocación de recuerdos placenteros pueden conseguir una consecuencia parecida: recordar momentos felices de la infacia, por poner un ejemplo. &lt;br /&gt;
&lt;br /&gt;
Los estudios demuestran que las endorfinas &lt;b&gt;son capaces de inhibir las fibras nerviosas que transmiten el dolor&lt;/b&gt;, además de producir experiencias subjetivas, que son sensaciones intensas, bien conocidas por los deportistas como son la &lt;b&gt;disminución de la ansiedad, y la sensación de bienestar.&lt;/b&gt; &lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;El problema&lt;/b&gt; es que ciertas enzimas presentes en nuestro organismo se encargan de que la &quot;morfina&quot; natural que&amp;nbsp;  producimos tambíen sea destruída en no demasiado tiempo. Aunque en realidad no es un problema  sino &lt;b&gt;una necesidad,&lt;/b&gt;&amp;nbsp; ya que de no ser así no captaríamos de manera  adecuada las señales de alerta que nos llegan del exterior.&lt;br /&gt;
&lt;br /&gt;
Estamos diseñados de manera funcional, todo lo que sucede en nuestro cuerpo tiene una razón, y la razón por la que estas sustancias producen los ya mencionados efectos son porque nuestro &lt;b&gt;estado de ánimo y nuestras emociones&lt;/b&gt; dependen en gran parte de estas &lt;b&gt;hormonas del placer&lt;/b&gt;, que están enormemente ligadas a las &lt;b&gt;experiencias más gratificantes&lt;/b&gt; ya que las refuerzan para que, cada vez que las repitamos, sean tan buenas como en la primera ocasión.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/5286955689609558922/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2011/08/enganchate-las-endorfinas.html#comment-form' title='5 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/5286955689609558922'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/5286955689609558922'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2011/08/enganchate-las-endorfinas.html' title='¡Engánchate a las endorfinas!'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>5</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7702784355820145788.post-3717908676594888611</id><published>2011-08-23T13:38:00.005+02:00</published><updated>2012-12-18T00:37:55.505+01:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="consejos"/><category scheme="http://www.blogger.com/atom/ns#" term="Entrenar"/><category scheme="http://www.blogger.com/atom/ns#" term="horario"/><category scheme="http://www.blogger.com/atom/ns#" term="Rendimiento"/><title type='text'>¿La mejor hora para practicar deporte?</title><content type='html'>Todo el mundo alguna vez se ha podido preguntar cuánta cantidad de actividad física es necesaria, qué ejercicios debería hacer, o el descanso necesario para reponerse tras un entrenamiento, pero menos son los que se interesan por este otro tema: La hora a la que practicar deporte, &lt;b&gt;¿Cuál es el mejor momento del día?&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Las opiniones no están unificadas al respecto pero se pueden sacar ciertas conclusiones.&lt;br /&gt;
Personalmente, pienso que lo idóneo es hacerlo por la mañana y, a pesar de no poseer el don de la verdad absoluta puedo defender tal afirmación con ciertos argumentos.&lt;br /&gt;
&lt;br /&gt;
Las ventajas más significativas del horario matinal son:&lt;br /&gt;
&lt;ul&gt;
&lt;li&gt;Sobre todo en los hombres, los &lt;b&gt;niveles de testosterona&lt;/b&gt; son más altos cuánto más temprano sea, tienen su pico alrededor de las 6-7 a.m. lo que significa que estaremos cargados de competitividad y energía. Además, tras varias horas de reposo y descanso, &lt;b&gt;el cuerpo está más predispuesto al movimiento&lt;/b&gt; que a última hora del día después de toda una jornada de trabajo y obligaciones (aunque esto si que es verdad que depende mucho de nuestros ciclos circadianos y nuestras regulaciones hormonales). &lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li&gt;Otro beneficio de entrenar a primera hora del día, especialmente para los que quieran bajar de peso, es que se puede trabajar en ayuno. Algunos estudios también sugieren que&amp;nbsp;&lt;b&gt;el cuerpo quema más calorías&lt;/b&gt;  debido a un aumento en el metabolismo, que se vería más intensificado  si su rutina es de fuerza (trabajar con pesas, por ejemplo).&lt;br /&gt;
&amp;nbsp;&lt;/li&gt;
&lt;li&gt;A la pregunta: &lt;b&gt;¿Se puede entrenar en ayunas? ¡SÍ!&amp;nbsp;&lt;/b&gt;aunque es conveniente llevar a cabo un buen período de adaptación&lt;b&gt;&amp;nbsp;¡OJO CON LAS PULSACIONES, para un entrenamiento en ayunas no está mal controlarlas y evitar sustos (hipoglucemias, etc.) sobre todo al empezar a probar este método&lt;/b&gt;!&lt;br /&gt;
No obstante, es más que recoendable desayunar o &lt;b&gt;tomar algo justo después de terminar la actividad.&lt;/b&gt;&lt;b&gt;&lt;/b&gt;&lt;b&gt; &lt;/b&gt;&lt;br /&gt;
&lt;b&gt;&amp;nbsp;&lt;/b&gt;&lt;/li&gt;
&lt;li&gt;&lt;b&gt;&amp;nbsp;&lt;/b&gt;Varios estudios han demostrado, además, que &lt;b&gt;el ejercicio a estas horas potencia la actividad mental&lt;b&gt; &lt;/b&gt;&lt;span style=&quot;font-weight: normal;&quot;&gt;(nos prepara para afrontar el día más activamente)&lt;/span&gt;&lt;/b&gt;&lt;b&gt; &lt;/b&gt;y que este efecto puede durar hasta diez horas posteriores al entrenamiento, en resumidas cuentas, nos despierta a aquellos que somos de despertar &quot;complicado&quot;.    Asimismo, &lt;b&gt;mejora el humor&lt;/b&gt;, debido a la producción  de endorfinas, sustancias que nuestro cerebro segrega durante el  ejercicio, provocando una sensación de bienestar.&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li&gt; Otro factor influyente es &lt;b&gt;la temperatura&lt;/b&gt; ambiental de por la mañana, sobre todo en climas cálidos y en verano es más fresca, suave y agradable. Sin embargo, hay que recalcar que no todo son ventajas a esta hora, al igual que la temperatura ambiente, la temperatura del cuerpo también es más baja (hemos estado horas sin apenas actividad) por tanto &lt;b&gt;el frío y la rigidez muscular&lt;/b&gt; lo hacen más propenso a las lesiones, resulta imprescindible un buen calentamiento para preparar el organismo.&lt;span style=&quot;font-family: Arial, sans-serif; font-size: x-small;&quot;&gt;&lt;/span&gt; &lt;br style=&quot;color: black;&quot; /&gt; &lt;br /&gt;
&lt;b&gt;Es comprensible que no todo el mundo tiene la suerte de poder elegir cuándo tener tiempo para hacer algo de deporte pero dicho queda. Al fin y al cabo lo importantes es hacerlo, el cuándo se puede debatir...&lt;/b&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;br /&gt;
&lt;b&gt; &lt;/b&gt;Adaptado de: http://blogs.periodistadigital.com/vidasaludable.php/2008/02/20/practicar_deporte_mananas_ventajas_3456&lt;b&gt;&lt;br /&gt;
&lt;/b&gt;</content><link rel='replies' type='application/atom+xml' href='http://enformaponte.blogspot.com/feeds/3717908676594888611/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://enformaponte.blogspot.com/2011/08/la-mejor-hora-para-practicar-deporte.html#comment-form' title='4 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/3717908676594888611'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7702784355820145788/posts/default/3717908676594888611'/><link rel='alternate' type='text/html' href='http://enformaponte.blogspot.com/2011/08/la-mejor-hora-para-practicar-deporte.html' title='¿La mejor hora para practicar deporte?'/><author><name>Anonymous</name><uri>http://www.blogger.com/profile/07066673587397894802</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>4</thr:total></entry></feed>