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Nutrients 2016, 8(3), 121; doi:10.3390/nu8030121

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

Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas-SP 13083-887, Brazil
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Received: 29 October 2015 / Revised: 28 January 2016 / Accepted: 17 February 2016 / Published: 11 March 2016
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Abstract

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. View Full-Text
Keywords: body composition; predictive equations; dual-energy X-ray absorptiometry body composition; predictive equations; dual-energy X-ray absorptiometry
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Langer, R.D.; Borges, J.H.; Pascoa, M.A.; Cirolini, V.X.; Guerra-Júnior, G.; Gonçalves, E.M. Validity of Bioelectrical Impedance Analysis to Estimation Fat-Free Mass in the Army Cadets. Nutrients 2016, 8, 121.

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