Anthropometric Equation for Estimation of Appendicular Skeletal Muscle Mass in Chinese Adults

中国成年人四肢骨骼肌含量的体位方程式

Xu Wen ； Mei Wang ； Chong-Min Jiang ； Yi-Min Zhang

《Asia Pacific Journal of Clinical Nutrition》 20卷4期 (2011/12) Pp. 551-556

https://doi.org/10.6133/apjcn.2011.20.4.08

摘要

本研究的目的是发展和验证中国成年人四肢骨骼肌含量的预测方程式。研究在中国济南、广州、西安、成都四地招募763名18-69岁成年人，其中男性345名、女性418名。通过双能X光吸收法测量受试者的四肢骨骼肌含量。由经培训的测量员的测量受试者的体重、身高、上臂围、大腿围、小腿围、腰围、皮褶厚度（肱三头肌、大腿、小腿）。将受试者随机分成建模组和验证组，利用建模组数据建立四肢骨骼肌含量预测方程，然后采用验证组数据检验预测方程的效果。研究结果显示，本研究建立的方程具有较好的预测效果，可以应用于中国成年人四肢骨骼肌含量的预测。

關鍵字

骨骼肌质量 ； 预测模式 ； 身体组成 ； 体位测量 ； 皮褶厚度

並列摘要

The purpose of this study was to develop and cross-validate anthropometric equations for the estimation of appendicular skeletal muscle mass (ASM) in Chinese adults. A total of 763 adults aged 18-69 years (345 men and 418 women) were recruited from residents living in four regions (Jinan, Guangzhou, Xi’an and Chengdu) in China. ASM were measured by fan-beam dual energy x-ray absorptiometry. Participants’ body weight, height, limb circumferences (upper arm, thigh, and calf), waist circumference, and skinfold thicknesses (triceps, thigh, and calf) were measured by trained testers. The participants were randomly assigned to two groups: a modeldevelopment group (MD group) and a cross-validation group (CV group). Prediction models were established using the data from the MD group, and cross-validated with the data of the CV group. The results suggested that the developed equations had satisfactory prediction qualities, and could be applied as a practical method of quantifying ASM in Chinese adults.

並列關鍵字

skeletal muscle mass ； prediction model ； body composition ； anthropometry ； skinfold