CONSUME SOME MONOUNSATURATED FAT


One of the big myths in this society is that fat makes you fat. The truth is too much of any nutrient can make you fat. In fact, there are some essential fatty acids that are the building blocks for specific hormones that control how much body fat you can gain or lose. Your body needs unsaturated fats to create these hormones! People who start consuming 20 percent to 30 percent of their calories from monounsaturated fat can actually burn more body fat than if they consumed a lesser fat percentage!

Monounsaturated fat is excellent for the immune system, cells and many bodily functions. A small amount of monounsaturated fat such as olive oil, natural peanut butter, unsalted almonds, avocados or Flax oil will help keep you full until your next meal. Saturated fats, on the other hand, can lead to heart disease and increased body fat. Sources of saturated fat are bacon, fried food, butter, etc.


Fat Burning Food For Thought
There are three factors associated with losing body fat: nutrition, exercise and consistency
Combine Protein And Carbohydrate At Your Meals
Meal Spacing
CONSUME SOME MONOUNSATURATED FAT
Eat The Foods You Enjoy

Looking for more information? Join eDiets and visit Raphael's support group (Fitness For You) for interactive support! We all know fitness is a vital part of living a healthy lifestyle -- let Raphael and eDiets help you on your way!

A drug-free competitive bodybuilder and 2005 winner of the prestigious WNBF (World Natural Bodybuilding Federation) Pro Card, Raphael Calzadilla is a veteran of the health-and-fitness industry. He specializes in a holistic approach to body transformation, nutrition programs and personal training. He earned his B.A. in communications from Southern Connecticut State University and is certified as a personal trainer with ACE and APEX. In addition, he successfully completed the RTS1 program based on biomechanics.


0 Comments:

Post a Comment

<< Home

Sedo - Buy and Sell Domain Names and Websites etracker® web controlling instead of log file analysis