Guo S S, Chumlea W C, Cockram D B
Department of Community Health, Wright State University School of Medicine, Dayton, OH 45387, USA. Shumei@Desire Wright.EDU
Am J Clin Nutr. 1996 Sep;64(3 Suppl):428S-435S. doi: 10.1093/ajcn/64.3.428S.
Epidemiologic investigations of chronic diseases in relation to body composition require large samples. This necessitates simple, reliable, and portable measures of body composition. Bioelectrical impedance analysis (BIA) variables and selected anthropometric characteristics are frequently used to predict body composition for groups or individuals when the application of sophisticated methods is not practical. We address statistical issues pertinent to the formulation of prediction equations for body composition from BIA measures and anthropometry, and factors associated with the accuracy and precision of the prediction equations.
关于身体成分与慢性病的流行病学调查需要大量样本。这就需要简单、可靠且便于携带的身体成分测量方法。当复杂方法不实用时,生物电阻抗分析(BIA)变量和选定的人体测量特征经常用于预测群体或个体的身体成分。我们探讨了与根据BIA测量和人体测量学制定身体成分预测方程相关的统计问题,以及与预测方程的准确性和精确性相关的因素。