Literature DB >> 21236715

Changes in body composition during weight loss in obese subjects in the NUGENOB study: comparison of bioelectrical impedance vs. dual-energy X-ray absorptiometry.

C Verdich1, P Barbe, M Petersen, K Grau, L Ward, I Macdonald, T I A Sørensen, J-M Oppert.   

Abstract

AIM: We studied the accuracy of bioelectrical impedance analysis (BIA) to assess changes in body composition during moderate weight loss in obese subjects.
METHODS: Estimates of changes in fat mass (FM) and fat-free mass (FFM) by BIA were compared with those by dual-energy X-ray absorptiometry (DXA) as the reference method during a 10-week standardized weight-loss intervention. In obese women (age: 20-50 years, mean BMI: 33.8 kg/m(2)) participating in a European multicentre trial (nutrient-gene interactions in human obesity [NUGENOB]), body composition was assessed by BIA (Bodystat QuadScan 4000) and DXA (Lunar DPX-IQ at two centres, Hologic QDR 2000 at another centre) at baseline (n=131) and at week 10 (n=105) after a mean weight loss of -5.7 kg.
RESULTS: At baseline, BIA significantly overestimated FFM and underestimated FM (by 1-3 kg on average) compared with DXA, and the limits of agreement were wide (mean ± 7-8.5 kg). For body-composition changes, although biases were generally non-significant, the limits of agreement were also wide (mean ± 3.7-4.6 kg). An FFM prediction equation for BIA data was developed in subjects scanned with Lunar instruments and cross-validated in an independent sample of 31 obese women undergoing similar weight loss. However, no major improvement in limits of agreement was found.
CONCLUSION: During moderate diet-induced weight loss, the use of BIA leads to estimates of changes in body composition at the individual level that can differ substantially from those assessed by DXA, indicating that BIA and DXA cannot be used interchangeably. However, BIA in this context may be used for assessing changes in body composition at group level.
Copyright © 2010 Elsevier Masson SAS. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21236715     DOI: 10.1016/j.diabet.2010.10.007

Source DB:  PubMed          Journal:  Diabetes Metab        ISSN: 1262-3636            Impact factor:   6.041


  15 in total

1.  Determinants of vitamin D status among overweight and obese Puerto Rican adults.

Authors:  Cristina Palacios; Karen Gil; Cynthia M Pérez; Kaumudi Joshipura
Journal:  Ann Nutr Metab       Date:  2012-01-04       Impact factor: 3.374

2.  Nutritional Status Assessment in Children and Adolescents with Various Levels of Physical Activity in Aspect of Obesity.

Authors:  Jerzy Słowik; Elżbieta Grochowska-Niedworok; Izabela Maciejewska-Paszek; Marek Kardas; Ewa Niewiadomska; Magdalena Szostak-Trybuś; Maria Palka-Słowik; Tomasz Irzyniec
Journal:  Obes Facts       Date:  2019-10-22       Impact factor: 3.942

3.  Dietary protein and the glycemic index handle insulin resistance within a nutritional program for avoiding weight regain after energy-restricted induced weight loss.

Authors:  Fernando Vidal-Ostos; Omar Ramos-Lopez; Susan A Jebb; Angeliki Papadaki; Andreas F H Pfeiffer; Teodora Handjieva-Darlenska; Marie Kunešová; Ellen E Blaak; Arne Astrup; J Alfredo Martinez
Journal:  Nutr Metab (Lond)       Date:  2022-10-19       Impact factor: 4.654

4.  Visceral fat and body composition changes in a female population after RYGBP: a two-year follow-up by DXA.

Authors:  Alberto Bazzocchi; Federico Ponti; Stefano Cariani; Danila Diano; Luca Leuratti; Ugo Albisinni; Giulio Marchesini; Giuseppe Battista
Journal:  Obes Surg       Date:  2015-03       Impact factor: 4.129

5.  Validity of multi-frequency bioelectric impedance methods to measure body composition in obese patients: a systematic review.

Authors:  Louise Becroft; Geraldine Ooi; Adrienne Forsyth; Susannah King; Audrey Tierney
Journal:  Int J Obes (Lond)       Date:  2018-12-19       Impact factor: 5.095

6.  Reproducibility and validity of A-mode ultrasound for body composition measurement and classification in overweight and obese men and women.

Authors:  Abbie E Smith-Ryan; Sarah N Fultz; Malia N Melvin; Hailee L Wingfield; Mary N Woessner
Journal:  PLoS One       Date:  2014-03-11       Impact factor: 3.240

7.  Validity of Predictive Equations for Resting Energy Expenditure Developed for Obese Patients: Impact of Body Composition Method.

Authors:  Najate Achamrah; Pierre Jésus; Sébastien Grigioni; Agnès Rimbert; André Petit; Pierre Déchelotte; Vanessa Folope; Moïse Coëffier
Journal:  Nutrients       Date:  2018-01-10       Impact factor: 5.717

8.  The Role of Body Adiposity Index in Determining Body Fat Percentage in Colombian Adults with Overweight or Obesity.

Authors:  Robinson Ramírez-Vélez; Jorge Enrique Correa-Bautista; Katherine González-Ruíz; Alejandra Tordecilla-Sanders; Antonio García-Hermoso; Jacqueline Schmidt-RioValle; Emilio González-Jiménez
Journal:  Int J Environ Res Public Health       Date:  2017-09-21       Impact factor: 3.390

9.  Micronutrient Status in 153 Patients with Anorexia Nervosa.

Authors:  Najate Achamrah; Moïse Coëffier; Agnès Rimbert; Jocelyne Charles; Vanessa Folope; André Petit; Pierre Déchelotte; Sébastien Grigioni
Journal:  Nutrients       Date:  2017-03-02       Impact factor: 5.717

10.  Percentage of body fat assessment using bioelectrical impedance analysis and dual-energy X-ray absorptiometry in a weight loss program for obese or overweight Chinese adults.

Authors:  Yi-Chun Li; Chia-Ing Li; Wen-Yuan Lin; Chiu-Shong Liu; Hua-Shui Hsu; Cheng-Chun Lee; Fei-Na Chen; Tsai-Chung Li; Cheng-Chieh Lin
Journal:  PLoS One       Date:  2013-04-01       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.