Jackson A S, Pollock M L
Med Sci Sports. 1977 Winter;9(4):197-201.
The purpose of this study was to determine the accuracy of percent fat estimates derived from regression equations with functions of predicting body density (BD), lean body weight (LBW), and total body volume (TBV) from anthropometric variables. BD, LBW, and TBV equations were derived from the data of 95 young, adult men (percent fat X = 13.4%). The multiple correlations for these equations were: BD, 0.86-0.83; LBW, 0.96-0.95; and TBV, 0.99. The zero order correlations between laboratory determined percent fat and percent fat derived by the BD, LBW, and TBV equations ranged from 0.80 to 0.86 with standard errors from 3.1% to 3.7%. This shows that BD, LBW, and TBV equations have similar accuracy when transformed to percent fat. The derived equations were cross validated with three additional, but diverse, samples (percent fat X = 5.1%; 16.7%; 27.1%). The cross validations results revealed that all equations exhibited similar accuracy. With samples differing in percent fat, systematic prediction errors occurred. The results further confirm population specificity of prediction equations.
本研究的目的是确定通过回归方程从人体测量变量预测身体密度(BD)、瘦体重(LBW)和总体积(TBV)的函数得出的体脂百分比估计值的准确性。BD、LBW和TBV方程是从95名年轻成年男性的数据(体脂百分比X = 13.4%)中推导出来的。这些方程的多重相关性分别为:BD为0.86 - 0.83;LBW为0.96 - 0.95;TBV为0.99。实验室测定的体脂百分比与通过BD、LBW和TBV方程得出的体脂百分比之间的零阶相关性在0.80至0.86之间,标准误差在3.1%至3.7%之间。这表明当转换为体脂百分比时,BD、LBW和TBV方程具有相似的准确性。所推导的方程在另外三个不同的样本(体脂百分比X = 5.1%;16.7%;27.1%)上进行了交叉验证。交叉验证结果显示所有方程都表现出相似的准确性。对于体脂百分比不同的样本,出现了系统性预测误差。结果进一步证实了预测方程的人群特异性。