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  • People lost the same amount of weight (13.9 lbs) with 15% protein as 25% protein

    Posted by .(JavaScript must be enabled to view this email address)
    Tuesday, May 01, 2012 12:14 pm Email this article
    People assigned to eat diets with a different composition of protein (15% vs 25%), fat (20% vs 40%) and carbohydrates (35% to 65%), but the same number of calories, lost the same amount of weight and same amount of fat according to a recent study from researchers at Harvard University. The average weight loss was 13.9 lbs after six months which was similar in all the diet groups, with 9.2 lbs coming from body fat, and 4.6 lbs coming from lean body mass (muscle) "with no differences between 25% and 15% protein, 40% and 20% fat, or 65% and 35% carbohydrate."

    2 Year Weight Regain

    40% of weight regained after 2 years

    The subjects had regained 40% of their weight loss after two years.

    2 Year Weight Regain

    40% of weight regained after 2 years

    “Participants lost more fat than lean mass after consumption of all diets, with no differences in changes in body composition, abdominal fat, or hepatic fat between assigned macronutrient amounts,” the authors concluded.


    Comment: Calories are most important

    This study shows that calories are most important.


    De Souza RJ, Bray G, Carey V, Hall K, Leboff M, Loria C, Laranjo N, Sacks F, Smith S. Effects of 4 weight-loss diets differing in fat, protein, and carbohydrate on fat mass, lean mass, visceral adipose tissue, and hepatic fat: Results from the pounds lost trial. Am J Clin Nutr. 2012 Jan 18.

    Department of Nutrition
    Harvard School of Public Health
    Boston, MA and

    Endocrine Division
    Department of Medicine
    Brigham and Women’s Hospital and
    Harvard Medical School
    Boston, MA


    Articles on the same subject can be found here:


    On Jul 15, 2012 at 11:55 am Zeke wrote:

    . . . . .

    Interesting, but I've always been highly skeptical of any claims made by Harvard studies. They are always so biased.

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