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生物电阻抗分析用于估计陆军学员瘦体重的有效性。

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

作者信息

Langer Raquel D, Borges Juliano H, Pascoa Mauro A, Cirolini Vagner X, Guerra-Júnior Gil, Gonçalves Ezequiel M

机构信息

Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas-SP 13083-887, Brazil.

出版信息

Nutrients. 2016 Mar 11;8(3):121. doi: 10.3390/nu8030121.

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.

摘要

背景

生物电阻抗分析(BIA)是一种快速、实用、非侵入性且常用的无脂肪量(FFM)估计方法。本研究的目的是验证BIA对陆军学员FFM估计的预测方程,并为该人群开发和验证特定的BIA方程。

方法

共纳入396名年龄在17 - 24岁的巴西陆军学员男性。该研究使用了八个已发表的预测BIA方程、一个FFM估计的特定方程以及双能X线吸收法(DXA)作为参考方法。采用学生t检验(配对样本)、线性回归分析和布兰德 - 奥特曼方法来检验BIA方程的有效性。

结果

与DXA相比,预测性BIA方程在FFM方面显示出显著差异(p < 0.05),且布兰德 - 奥特曼分析显示一致性界限较大。预测性BIA方程解释了FFM方差的68%至88%。与DXA值相比,特定的BIA方程在FFM方面未显示出显著差异。

结论

已发表的BIA预测方程在该样本中显示出较差的准确性。本研究中开发的特定BIA方程在该样本中显示出有效性,尽管在FFM范围较大的样本中应谨慎使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d0a/4808851/cc43e0a2795e/nutrients-08-00121-g001.jpg

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