Estimation of whole-body skeletal muscle mass by bioelectrical impedance analysis in the standing position
Estimation of whole-body skeletal muscle mass by bioelectrical impedance analysis in the standing position
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DOI：
10.1016/j.orcp.2009.06.001
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发表时间：
2010-01-01
影响因子：
4.3
通讯作者：
Kuno, Shinya
中科院分区：
文献类型：
--
作者：
Oshima, Yoshitake;Shiga, Toshikazu;Kuno, Shinya
目的：开发一种临床方法，用于评估骨骼肌（SM）质量使用全身生物电阻抗（BI）分析在standing position.Subjects：244名志愿者（男性= 106和女性= 138）参加了这项研究。受试者被随机分为验证和交叉validationgroups.Methods：全身阻抗（Z）之间的手和脚被测量在站立的位置。逐步多元回归分析被用来开发SM质量的预测方程。结果：BI指数（身高（2）/Z）、体表面积（BSA）、性别和年龄被选为验证组中预测SM的重要因素。在交叉验证组中，SM质量的测量值和估计值之间无显著差异，BI分析中无系统误差。将所有数据合并以生成最终回归方程：SM质量（kg）=（0.126 x BI指数）+（1.937 x BSA）+（-0.062 x年龄）+（-2.186 x性别）-2.881，其中年龄以岁为单位。男性性别= 1，女性性别= 2。分析显示，斜率和截距分别与1和0无显著差异。回归方程的r（2）和SEE值分别为0.893和1.65 kg.Conclusions：使用我们开发的预测方程，BIA系统可以用来准确地评估全身骨骼肌质量与受试者在站立位。(C)2009年亚洲大洋洲肥胖研究协会。由爱思唯尔有限公司出版。保留所有权利。
Objective: To develop a clinical method for evaluating skeletal muscle (SM) mass using whole-body bioelectrical impedance (BI) analysis in the standing position.Subjects: Two hundred and forty-four volunteers (men = 106 and women = 138) participated in this study. The subjects were randomly separated into validation and cross-validation groups.Methods: The whole-body impedance (Z) between the hands and feet was measured in the standing position. A stepwise multiple regression analysis was used to develop the prediction equation for SM mass. Whole-body SM mass, measured by magnetic resonance imaging (MRI), was used as a reference.Results: BI index (height(2)/Z), body surface area (BSA), gender, and age were selected as significant contributors to predict SM in the validation group. There was no significant difference between the measured and estimated SM mass and no systematic error in BI analysis in the cross-validation group. All data were pooled to generate the final regression equation:SM mass (kg) = (0.126 x BI index) + (1.937 x BSA)+ (-0.062 x age) + (-2.186 x gender) - 2.881,where age is in years. Gender for men = 1 and women = 2.Analysis revealed that the slope and intercept were not significantly different from one and zero, respectively. The r(2) and SEE values of the regression equation were 0.893 and 1.65 kg, respectively.Conclusions: Using our developed prediction equation, the BIA system can be used to accurately evaluate whole-body skeletal muscle mass with the subject in the standing position. (C) 2009 Asian Oceanian Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.