Literature DB >> 17894918

Usefulness of different techniques for measuring body composition changes during weight loss in overweight and obese women.

Cláudia S Minderico1, Analiza M Silva, Kathleen Keller, Teresa L Branco, Sandra S Martins, António L Palmeira, José T Barata, Elvis A Carnero, Paulo M Rocha, Pedro J Teixeira, Luís B Sardinha.   

Abstract

The objective was to compare measures from dual-energy X-ray absorptiometry (DXA), bioelectrical impedance analysis (BIA) and anthropometry with a reference four-compartment model to estimate fat mass (FM) and fat-free mass (FFM) changes in overweight and obese women after a weight-loss programme. Forty-eight women (age 39.8 +/- 5.8 years; weight 79.2 +/- 11.8 kg; BMI 30.7 +/- 3.6 kg/m2) were studied in an out-patient weight-loss programme, before and after the 16-month intervention. Women attended weekly meetings for the first 4 months, followed by monthly meetings from 4 to 12 months. Body composition variables were measured by the following techniques: DXA, anthropometry (waist circumference-based model; Antrform), BIA using Tanita (TBF-310) and Omron (BF300) and a reference four-compartment model. Body weight decreased significantly ( - 3.3 (sd 3.1) kg) across the intervention. At baseline and after the intervention, FM, percentage FM and FFM assessed by Antrform, Tanita, BF300 and DXA differed significantly from the reference method (P < or = 0.001), with the exception of FFM assessed by Tanita (baseline P = 0.071 and after P = 0.007). DXA significantly overestimated the change in FM and percentage FM across weight loss ( - 4.5 v. - 3.3 kg; P 0.05) from the reference model in any body composition variables. We conclude that these methods are widely used in clinical settings, but should not be applied interchangeably to detect changes in body composition. Furthermore, the several clinical methods were not accurate enough for tracking body composition changes in overweight and obese premenopausal women after a weight-loss programme.

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Year:  2007        PMID: 17894918     DOI: 10.1017/S0007114507815789

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  17 in total

1.  Estimating body fat in NCAA Division I female athletes: a five-compartment model validation of laboratory methods.

Authors:  Jordan R Moon; Joan M Eckerson; Sarah E Tobkin; Abbie E Smith; Christopher M Lockwood; Ashley A Walter; Joel T Cramer; Travis W Beck; Jeffrey R Stout
Journal:  Eur J Appl Physiol       Date:  2008-10-21       Impact factor: 3.078

2.  Body composition, anthropometrics, energy expenditure, systemic inflammation, in premenopausal women 1 year after laparoscopic Roux-en-Y gastric bypass.

Authors:  Antonio Iannelli; Francesco Martini; Anty Rodolphe; Anne-Sophie Schneck; Philippe Gual; Albert Tran; Xavier Hébuterne; Jean Gugenheim
Journal:  Surg Endosc       Date:  2013-09-07       Impact factor: 4.584

3.  Uncomplicated obesity in an African American population seeking medical weight loss.

Authors:  Denia Tapscott; Monet D Bernard; Thomas A Mellman
Journal:  Ethn Dis       Date:  2013       Impact factor: 1.847

4.  Validity and reliability of a 4-compartment body composition model using dual energy x-ray absorptiometry-derived body volume.

Authors:  Abbie E Smith-Ryan; Meredith G Mock; Eric D Ryan; Gena R Gerstner; Eric T Trexler; Katie R Hirsch
Journal:  Clin Nutr       Date:  2016-05-15       Impact factor: 7.324

5.  Oral Supplementation with Beta-Hydroxy-Beta-Methylbutyrate, Arginine, and Glutamine Improves Lean Body Mass in Healthy Older Adults.

Authors:  Amy C Ellis; Gary R Hunter; Amy M Goss; Barbara A Gower
Journal:  J Diet Suppl       Date:  2018-04-19

6.  Body composition and energy metabolism following Roux-en-Y gastric bypass surgery.

Authors:  Robyn A Tamboli; H Ayesha Hossain; Pamela A Marks; Aaron W Eckhauser; John A Rathmacher; Sharon E Phillips; Maciej S Buchowski; Kong Y Chen; Naji N Abumrad
Journal:  Obesity (Silver Spring)       Date:  2010-04-22       Impact factor: 5.002

7.  Accuracy of DXA in estimating body composition changes in elite athletes using a four compartment model as the reference method.

Authors:  Diana A Santos; Analiza M Silva; Catarina N Matias; David A Fields; Steven B Heymsfield; Luís B Sardinha
Journal:  Nutr Metab (Lond)       Date:  2010-03-22       Impact factor: 4.169

8.  Validity of bioelectrical impedance analysis to estimate body composition changes after bariatric surgery in premenopausal morbidly women.

Authors:  Silvia Savastano; Annamaria Belfiore; Carolina Di Somma; Concetta Mauriello; Annalisa Rossi; Genoveffa Pizza; Annalba De Rosa; Giovanni Prestieri; Luigi Angrisani; Annamaria Colao
Journal:  Obes Surg       Date:  2009-10-28       Impact factor: 4.129

9.  Bioelectrical impedance and dual-energy x-ray absorptiometry assessments of changes in body composition following exercise in patients with type 2 diabetes mellitus.

Authors:  Masae Miyatani; Pearl Yang; Scott Thomas; B Catharine Craven; Paul Oh
Journal:  J Obes       Date:  2012-09-16

10.  Anthropometric variables accurately predict dual energy x-ray absorptiometric-derived body composition and can be used to screen for diabetes.

Authors:  Reza Yavari; Erin McEntee; Michael McEntee; Michael Brines
Journal:  PLoS One       Date:  2011-09-06       Impact factor: 3.240

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