Literature DB >> 23848977

Bioelectrical impedance analysis to estimate body composition in children and adolescents: a systematic review and evidence appraisal of validity, responsiveness, reliability and measurement error.

H Talma1, M J M Chinapaw, B Bakker, R A HiraSing, C B Terwee, T M Altenburg.   

Abstract

Bioelectrical impedance analysis (BIA) is a practical method to estimate percentage body fat (%BF). In this systematic review, we aimed to assess validity, responsiveness, reliability and measurement error of BIA methods in estimating %BF in children and adolescents.We searched for relevant studies in Pubmed, Embase and Cochrane through November 2012. Two reviewers independently screened titles and abstracts for inclusion, extracted data and rated methodological quality of the included studies. We performed a best evidence synthesis to synthesize the results, thereby excluding studies of poor quality. We included 50 published studies. Mean differences between BIA and reference methods (gold standard [criterion validity] and convergent measures of body composition [convergent validity]) were considerable and ranged from negative to positive values, resulting in conflicting evidence for criterion validity. We found strong evidence for a good reliability, i.e. (intra-class) correlations ≥0.82. However, test-retest mean differences ranged from 7.5% to 13.4% of total %BF in the included study samples, indicating considerable measurement error. Our systematic review suggests that BIA is a practical method to estimate %BF in children and adolescents. However, validity and measurement error are not satisfactory.
© 2013 The Authors. obesity reviews © 2013 International Association for the Study of Obesity.

Entities:  

Keywords:  BIA; criterion validity; measurement properties; youth.

Mesh:

Year:  2013        PMID: 23848977     DOI: 10.1111/obr.12061

Source DB:  PubMed          Journal:  Obes Rev        ISSN: 1467-7881            Impact factor:   9.213


  52 in total

1.  Consistency of a mobile body composition trailer: a novel portable laboratory assessment?

Authors:  Gena R Gerstner; Eric D Ryan; Craig R Kleinberg; Andrew J Tweedell; Abbie E Smith-Ryan
Journal:  Clin Physiol Funct Imaging       Date:  2016-01-12       Impact factor: 2.273

2.  Living High-Training Low for 21 Days Enhances Exercise Economy, Hemodynamic Function, and Exercise Performance of Competitive Runners.

Authors:  Hun-Young Park; Wonil Park; Kiwon Lim
Journal:  J Sports Sci Med       Date:  2019-08-01       Impact factor: 2.988

3.  Comparison of bioimpedance body composition in young adults in the Russian Children's Study.

Authors:  Sergey Rudnev; Jane S Burns; Paige L Williams; Mary M Lee; Susan A Korrick; Tatiana Denisova; Yuri Dikov; Gennady Kozupitsa; Russ Hauser; Oleg Sergeyev
Journal:  Clin Nutr ESPEN       Date:  2019-11-16

4.  Individual Differences in Reward and Somatosensory-Motor Brain Regions Correlate with Adiposity in Adolescents.

Authors:  Kristina M Rapuano; Jeremy F Huckins; James D Sargent; Todd F Heatherton; William M Kelley
Journal:  Cereb Cortex       Date:  2015-05-20       Impact factor: 5.357

5.  Are obesity and body fat distribution associated with low back pain in women? A population-based study of 1128 Spanish twins.

Authors:  Amabile B Dario; Manuela L Ferreira; Kathryn Refshauge; Juan F Sánchez-Romera; Alejandro Luque-Suarez; John L Hopper; Juan R Ordoñana; Paulo H Ferreira
Journal:  Eur Spine J       Date:  2015-06-18       Impact factor: 3.134

Review 6.  Body composition during growth in children: limitations and perspectives of bioelectrical impedance analysis.

Authors:  U G Kyle; C P Earthman; C Pichard; J A Coss-Bu
Journal:  Eur J Clin Nutr       Date:  2015-06-03       Impact factor: 4.016

7.  Application of a specific equation to calculate fat-free mass (FFM) in Australian aboriginals.

Authors:  G R Singh; S M Sayers
Journal:  Eur J Clin Nutr       Date:  2015-02-18       Impact factor: 4.016

8.  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

9.  Brain reactivity to visual food stimuli after moderate-intensity exercise in children.

Authors:  Travis D Masterson; C Brock Kirwan; Lance E Davidson; Michael J Larson; Kathleen L Keller; S Nicole Fearnbach; Alyssa Evans; James D LeCheminant
Journal:  Brain Imaging Behav       Date:  2018-08       Impact factor: 3.978

Review 10.  Methodologies to assess paediatric adiposity.

Authors:  M Horan; E Gibney; E Molloy; F McAuliffe
Journal:  Ir J Med Sci       Date:  2014-05-04       Impact factor: 1.568

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