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Validity of Bioelectrical Impedance Analysis to Estimation Fat-Free Mass in the Army Cadets

Background: Bioelectrical Impedance Analysis (BIA) is a fast, practical, non-invasive, and frequently used method for fat-free mass (FFM) estimation. The aims of this study were to validate predictive equations of BIA to FFM estimation in Army cadets and to develop and validate a specific BIA equati...

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Autores principales: Langer, Raquel D., Borges, Juliano H., Pascoa, Mauro A., Cirolini, Vagner X., Guerra-Júnior, Gil, Gonçalves, Ezequiel M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4808851/
https://www.ncbi.nlm.nih.gov/pubmed/26978397
http://dx.doi.org/10.3390/nu8030121
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author Langer, Raquel D.
Borges, Juliano H.
Pascoa, Mauro A.
Cirolini, Vagner X.
Guerra-Júnior, Gil
Gonçalves, Ezequiel M.
author_facet Langer, Raquel D.
Borges, Juliano H.
Pascoa, Mauro A.
Cirolini, Vagner X.
Guerra-Júnior, Gil
Gonçalves, Ezequiel M.
author_sort Langer, Raquel D.
collection PubMed
description Background: Bioelectrical Impedance Analysis (BIA) is a fast, practical, non-invasive, and frequently used method for fat-free mass (FFM) estimation. The aims of this study were to validate predictive equations of BIA to FFM estimation in Army cadets and to develop and validate a specific BIA equation for this population. Methods: A total of 396 males, Brazilian Army cadets, aged 17–24 years were included. The study used eight published predictive BIA equations, a specific equation in FFM estimation, and dual-energy X-ray absorptiometry (DXA) as a reference method. Student’s t-test (for paired sample), linear regression analysis, and Bland–Altman method were used to test the validity of the BIA equations. Results: Predictive BIA equations showed significant differences in FFM compared to DXA (p < 0.05) and large limits of agreement by Bland–Altman. Predictive BIA equations explained 68% to 88% of FFM variance. Specific BIA equations showed no significant differences in FFM, compared to DXA values. Conclusion: Published BIA predictive equations showed poor accuracy in this sample. The specific BIA equations, developed in this study, demonstrated validity for this sample, although should be used with caution in samples with a large range of FFM.
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spelling pubmed-48088512016-04-04 Validity of Bioelectrical Impedance Analysis to Estimation Fat-Free Mass in the Army Cadets Langer, Raquel D. Borges, Juliano H. Pascoa, Mauro A. Cirolini, Vagner X. Guerra-Júnior, Gil Gonçalves, Ezequiel M. Nutrients Article Background: Bioelectrical Impedance Analysis (BIA) is a fast, practical, non-invasive, and frequently used method for fat-free mass (FFM) estimation. The aims of this study were to validate predictive equations of BIA to FFM estimation in Army cadets and to develop and validate a specific BIA equation for this population. Methods: A total of 396 males, Brazilian Army cadets, aged 17–24 years were included. The study used eight published predictive BIA equations, a specific equation in FFM estimation, and dual-energy X-ray absorptiometry (DXA) as a reference method. Student’s t-test (for paired sample), linear regression analysis, and Bland–Altman method were used to test the validity of the BIA equations. Results: Predictive BIA equations showed significant differences in FFM compared to DXA (p < 0.05) and large limits of agreement by Bland–Altman. Predictive BIA equations explained 68% to 88% of FFM variance. Specific BIA equations showed no significant differences in FFM, compared to DXA values. Conclusion: Published BIA predictive equations showed poor accuracy in this sample. The specific BIA equations, developed in this study, demonstrated validity for this sample, although should be used with caution in samples with a large range of FFM. MDPI 2016-03-11 /pmc/articles/PMC4808851/ /pubmed/26978397 http://dx.doi.org/10.3390/nu8030121 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Langer, Raquel D.
Borges, Juliano H.
Pascoa, Mauro A.
Cirolini, Vagner X.
Guerra-Júnior, Gil
Gonçalves, Ezequiel M.
Validity of Bioelectrical Impedance Analysis to Estimation Fat-Free Mass in the Army Cadets
title Validity of Bioelectrical Impedance Analysis to Estimation Fat-Free Mass in the Army Cadets
title_full Validity of Bioelectrical Impedance Analysis to Estimation Fat-Free Mass in the Army Cadets
title_fullStr Validity of Bioelectrical Impedance Analysis to Estimation Fat-Free Mass in the Army Cadets
title_full_unstemmed Validity of Bioelectrical Impedance Analysis to Estimation Fat-Free Mass in the Army Cadets
title_short Validity of Bioelectrical Impedance Analysis to Estimation Fat-Free Mass in the Army Cadets
title_sort validity of bioelectrical impedance analysis to estimation fat-free mass in the army cadets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4808851/
https://www.ncbi.nlm.nih.gov/pubmed/26978397
http://dx.doi.org/10.3390/nu8030121
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