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- Title
Effects of rapid weight loss and regain on body composition and energy expenditure.
- Authors
Sagayama, Hiroyuki; Yoshimura, Eiichi; Yamada, Yosuke; Ichikawa, Mamiko; Ebine, Naoyuki; Higaki, Yasuki; Kiyonaga, Akira; Tanaka, Hiroaki
- Abstract
Weight-classified athletes need an energy intake plan to accomplish target weight reduction. They have to consider body composition and energy metabolism during rapid weight loss followed by rapid weight regain to achieve their energy intake plan. We investigated the effects of rapid weight loss, followed by weight regain, on body composition and energy expenditure. Ten weight-classified athletes were instructed to reduce their body weight by 5% in 7 days. Following the weight loss, they were asked to try to regain all of their lost weight with an ad libitum diet for 12 h. Food intake was recorded during the baseline, weight loss, and regain periods. Fat mass, total body water, and fat-free dry solids were estimated by underwater weighing and stable isotope dilution methods. A three-component model was calculated using Siri's equation. Basal and sleeping metabolic rates were measured by indirect calorimetry. Body composition and energy expenditure were measured before and after weight loss and after weight regain. Body weight, total body water, and fat-free dry solids were decreased after the weight loss period but recovered after weight regain ( p < 0.05). Basal metabolic rate did not change throughout the study. Sleeping metabolic rate decreased significantly during weight loss but recovered after weight regain. Changes in total body water greatly affect body weight during rapid weight loss and regain. In addition, rapid weight loss and regain did not greatly affect the basal metabolic rate in weight-classified athletes.
- Subjects
ANALYSIS of covariance; ANALYSIS of variance; ATHLETES; BASAL metabolism; BODY composition; ENERGY metabolism; INGESTION; RESEARCH funding; STATISTICS; WEIGHT loss; WEIGHT gain; DATA analysis; REPEATED measures design; PHYSICAL activity; DATA analysis software; DESCRIPTIVE statistics
- Publication
Applied Physiology, Nutrition & Metabolism, 2014, Vol 39, Issue 1, p21
- ISSN
1715-5312
- Publication type
Article
- DOI
10.1139/apnm-2013-0096