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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Validity of the leg-to-leg bioimpedance to estimate changes in body fat during weight loss and regain in overweight women: A comparison with multi-compartment models
International Journal of Obesity, Volume 31, No. 5, Year 2007
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Description
Objectives: To investigate changes in body composition and the validity of the leg-to-leg bioimpedance (LTL) method to measure body fat during active weight loss (WL) and weight regain (WR). Design: Longitudinal, 12-week weight loss intervention (3.3-3.8 MJ/day) and subsequent follow-up at 1 year. Subjects: Fifty-eight adult women aged between 24 and 65 years (mean age: 46.8±8.9 years) and with a body mass index (BMI) >25 kg/m2 (mean BMI: 31.6±2.5 kg/m2, range=26.0-48.2 kg/m2) participated in the study. Measurements: Fat mass (FM) was measured at baseline, 12 weeks, 24 weeks and 52 weeks using three- and four-compartment (4-C) models, air displacement plethysmography (ADP), deuterium dilution - total body water (TBW), dual-energy X-ray absorptiometry (DXA), skinfold thickness (SFT), tetrapolar bioelectrical impedance analysis (T-BIA) and LTL. Results: At the end of the weight loss programme, subjects lost 9.9±3.5 kg weight (P<0.001) and 7.6±0.5 kg fat (P<0.001) but after 1 year they had regained 4.9±3.7 kg of weight and 3.7±2.9 kg of fat. The 4-C model showed that FM and TBW accounted for 76.2 and 23.6% of the loss in body mass and 81.8 and 17.7% of the tissue accrued during weight regain, respectively. The estimate of body fat change by LTL relative to multi-compartment models (WL bias±2s.d.=0.51±3.26 kg; WR bias±2s.d.=-0.25±2.30 kg) was similar to ADP, DXA and TBW in both phases but it was better than T-BIA (WLbias±2s.d.= 0.17±7.90 kg; WRbias±2s.d.=-0.29±7.59 kg) and skinfold thickness (WLbias±2s.d.=2.68±6.68 kg; WR bias±2s.d.=-0.84±3.80 kg). Conclusions: Weight loss and regain were associated with minimal changes in lean tissue as measured using multi-compartment models. The LTL system is a useful method to measure body composition changes during clinical weight management programmes. © 2007 Nature Publishing Group All rights reserved.
Authors & Co-Authors
Jebb, Susan Ann
United Kingdom, Cambridge
Mrc Human Nutrition Research
Siervo, Mario
United Kingdom, Cambridge
Mrc Human Nutrition Research
Evans, Stephen J.W.
United Kingdom, Cambridge
Mrc Human Nutrition Research
Prentice, Andrew M.
United Kingdom, London
London School of Hygiene & Tropical Medicine
Statistics
Citations: 87
Authors: 4
Affiliations: 4
Identifiers
Doi:
10.1038/sj.ijo.0803475
ISSN:
14765497
Research Areas
Environmental
Study Design
Randomised Control Trial
Cohort Study
Participants Gender
Female