Literature DB >> 17060926

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.

S A Jebb1, M Siervo, P R Murgatroyd, S Evans, G Frühbeck, A M Prentice.   

Abstract

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) > or =25 kg/m(2) (mean BMI: 31.6+/-2.5 kg/m(2), range=26.0-48.2 kg/m(2)) 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 (WL(bias+/-2s.d.)=0.17+/-7.90 kg; WR(bias+/-2s.d.)=-0.29+/-7.59 kg) and skinfold thickness (WL(bias+/-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.

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Year:  2006        PMID: 17060926     DOI: 10.1038/sj.ijo.0803475

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  16 in total

1.  Air displacement plethysmography for estimating body composition changes with weight loss in middle-aged Japanese men.

Authors:  Hiroyuki Sasai; Yoshio Nakata; Miyuki Nemoto; Kazunori Ohkawara; Hiroyuki Ohkubo; Tomoaki Matsuo; Maeng-Kyu Kim; Yasutomi Katayama; Kiyoji Tanaka
Journal:  Obes Facts       Date:  2010-12-16       Impact factor: 3.942

2.  Body composition obtained from the body mass index: an Italian study.

Authors:  Daniele Martarelli; Benedetta Martarelli; Pierluigi Pompei
Journal:  Eur J Nutr       Date:  2008-09-24       Impact factor: 5.614

3.  Adrenal medullary dysfunction as a feature of obesity.

Authors:  M Reimann; N Qin; M Gruber; S R Bornstein; C Kirschbaum; T Ziemssen; G Eisenhofer
Journal:  Int J Obes (Lond)       Date:  2017-02-06       Impact factor: 5.095

4.  Assessment of Changes in Body Composition During the First Postoperative Year After Bariatric Surgery.

Authors:  Fernanda Guidi Colossi de Paris; Alexandre Vontobel Padoin; Cláudio Corá Mottin; Marcel Fasolo de Paris
Journal:  Obes Surg       Date:  2019-09       Impact factor: 4.129

5.  The effect of intermittent energy and carbohydrate restriction v. daily energy restriction on weight loss and metabolic disease risk markers in overweight women.

Authors:  Michelle Harvie; Claire Wright; Mary Pegington; Debbie McMullan; Ellen Mitchell; Bronwen Martin; Roy G Cutler; Gareth Evans; Sigrid Whiteside; Stuart Maudsley; Simonetta Camandola; Rui Wang; Olga D Carlson; Josephine M Egan; Mark P Mattson; Anthony Howell
Journal:  Br J Nutr       Date:  2013-04-16       Impact factor: 3.718

6.  Twenty-four-hour endocrine and metabolic profiles following consumption of high-fructose corn syrup-, sucrose-, fructose-, and glucose-sweetened beverages with meals.

Authors:  Kimber L Stanhope; Steven C Griffen; Brandi R Bair; Michael M Swarbrick; Nancy L Keim; Peter J Havel
Journal:  Am J Clin Nutr       Date:  2008-05       Impact factor: 7.045

7.  Calcium plus vitamin D3 supplementation facilitated fat loss in overweight and obese college students with very-low calcium consumption: a randomized controlled trial.

Authors:  Wei Zhu; Donglian Cai; Ying Wang; Ning Lin; Qingqing Hu; Yang Qi; Shuangshuang Ma; Sidath Amarasekara
Journal:  Nutr J       Date:  2013-01-08       Impact factor: 3.271

8.  Serum calcium levels are associated with novel cardiometabolic risk factors in the population-based CoLaus study.

Authors:  Idris Guessous; Olivier Bonny; Fred Paccaud; Vincent Mooser; Gérard Waeber; Peter Vollenweider; Murielle Bochud
Journal:  PLoS One       Date:  2011-04-21       Impact factor: 3.240

9.  The CoLaus study: a population-based study to investigate the epidemiology and genetic determinants of cardiovascular risk factors and metabolic syndrome.

Authors:  Mathieu Firmann; Vladimir Mayor; Pedro Marques Vidal; Murielle Bochud; Alain Pécoud; Daniel Hayoz; Fred Paccaud; Martin Preisig; Kijoung S Song; Xin Yuan; Theodore M Danoff; Heide A Stirnadel; Dawn Waterworth; Vincent Mooser; Gérard Waeber; Peter Vollenweider
Journal:  BMC Cardiovasc Disord       Date:  2008-03-17       Impact factor: 2.298

10.  Comparisons of a Multi-Frequency Bioelectrical Impedance Analysis to the Dual-Energy X-Ray Absorptiometry Scan in Healthy Young Adults Depending on their Physical Activity Level.

Authors:  Julien Verney; Chloé Schwartz; Saliha Amiche; Bruno Pereira; David Thivel
Journal:  J Hum Kinet       Date:  2015-10-14       Impact factor: 2.193

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