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人体全身电导率与通过身体密度得出的瘦体重的比较:一种新身体成分测量方法的验证

Comparison in man of total body electrical conductivity and lean body mass derived from body density: validation of a new body composition method.

作者信息

Presta E, Segal K R, Gutin B, Harrison G G, Van Itallie T B

出版信息

Metabolism. 1983 May;32(5):524-7. doi: 10.1016/0026-0495(83)90018-5.

Abstract

This article reports a study in which total body electrical conductivity (TOBEC) measurements and lean body mass (LBM) estimated from hydrostatic weighing in human subjects were compared. The TOBEC method provides a new approach to assessment of human body composition that is based on the principle that the electrical conductivity of lean tissue is far greater than that of fat. In a sample of 32 men and women varying widely in age (20 to 53 years), body weight (45 to 155 kg), and adiposity (9.5 to 53.0% body fat), the TOBEC measurement was found to be extremely reliable (r = 0.999) and to correlate highly with hydrostatically estimated LBM (r = 0.903, P less than 0.0001). When the TOBEC scores were transformed to provide a single variable; namely, the subject's height times the square root of the TOBEC score, a higher correlation with LBM was obtained (r = 0.943). Taking gender into account further enhanced the prediction of LBM from TOBEC (r = 0.951). These observations strongly reinforce the results of a previous investigation in which high correlations were found between TOBEC and both total body potassium and total body water. Accordingly, this new method promises to provide a useful technique for the evaluation of body composition that is at once simple, rapid, objective, and noninvasive.

摘要

本文报道了一项研究,该研究比较了人体全身电阻抗(TOBEC)测量值与通过静水称重法估算的瘦体重(LBM)。TOBEC方法基于瘦组织的电导率远高于脂肪这一原理,为人体成分评估提供了一种新方法。在一个由32名年龄(20至53岁)、体重(45至155千克)和肥胖程度(体脂率9.5%至53.0%)差异很大的男性和女性组成的样本中,发现TOBEC测量极为可靠(r = 0.999),且与通过静水称重法估算的LBM高度相关(r = 0.903,P小于0.0001)。当将TOBEC分数进行转换以提供一个单一变量,即受试者的身高乘以TOBEC分数的平方根时,与LBM的相关性更高(r = 0.943)。考虑性别因素进一步提高了从TOBEC预测LBM的能力(r = 0.951)。这些观察结果有力地证实了先前一项研究的结果,该研究发现TOBEC与全身钾和全身水之间存在高度相关性。因此,这种新方法有望提供一种有用的技术,用于评估人体成分,该技术既简单、快速、客观,又无创。

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