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

机译:生物电阻抗分析对军校学员无脂肪量估计的有效性

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摘要

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.
机译:背景:生物电阻抗分析(BIA)是一种快速,实用,无创且经常用于无脂肪质量(FFM)估计的方法。这项研究的目的是验证陆军学员中BIA到FFM估计的预测方程,并开发和验证针对该人群的特定BIA方程。方法:包括396名年龄在17至24岁之间的巴西陆军学员,男性为396名。该研究使用了八个已发布的预测BIA方程,一个在FFM估计中的特定方程,以及双能量X射线吸收法(DXA)作为参考方法。使用学生的t检验(用于配对样本),线性回归分析和Bland–Altman方法来检验BIA方程的有效性。结果:预测的BIA方程显示与DXA相比,FFM的显着差异(p <0.05),并且Bland–Altman的一致性很大。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上没有显着差异。结论:已发布的BIA预测方程式在该样本中显示出较差的准确性。本研究开发的特定BIA方程式证明了该样品的有效性,尽管在FFM范围较大的样品中应谨慎使用。

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