Development and validation of anthropometric prediction equations for estimation of lean body mass and appendicular lean soft tissue in Indian men and women.
Development and validation of anthropometric prediction equations for estimation of lean body mass and appendicular lean soft tissue in Indian men and women.
复制标题
DOI：
10.1152/japplphysiol.00777.2013
复制
发表时间：
2013-10-15
期刊：
影响因子：
--
通讯作者：
Hills AP
中科院分区：
文献类型：
--
作者：
Kulkarni B;Kuper H;Taylor A;Wells JC;Radhakrishna KV;Kinra S;Ben-Shlomo Y;Smith GD;Ebrahim S;Byrne NM;Hills AP
在大型流行病学研究中，由于缺乏廉价的方法，瘦体重(LBM)和肌肉质量仍然难以量化。因此，我们建立了人体测量预测方程，以双能X线吸收法(DXA)为参考方法来估计LBM和附件瘦软组织(ALST)。健康志愿者(n=2220；女性占36%；年龄18-79岁)，代表大范围的体重指数(14-44 kg/m2)，参与了这项研究。他们的LBM，包括ALST，由DXA结合人体测量进行评估。样本分为预测组(60%)和验证组(40%)。在预测集合中，以DXA测量的LBM和ALST估计值为因变量，以人体测量指标的组合为自变量，构建了多个预测模型。这些方程在验证集中进行了交叉验证。使用年龄、身高和体重的简单公式解释了男性和女性LBM和ALST 90%的变化。在完全调整的预测LBM和ALST的模型中，额外的变量(臀围和四肢周长以及皮褶厚度之和)增加了5-8%的解释差异。使用所有上述人体测量变量的更复杂的方程可以准确地预测DXA测量的LBM和ALST，估计的低标准误差(男性和女性分别为1.47 kg和1.63 kg)表明，与Bland-Altman分析(Bland JM，Altman D.Lancet 1：307-310,1986)很好地吻合。在大型流行病学研究中，这些公式可能是一个有价值的工具，用于评估印度人和其他身体成分相似的人群的这些身体间隔。
Lean body mass (LBM) and muscle mass remain difficult to quantify in large epidemiological studies due to the unavailability of inexpensive methods. We therefore developed anthropometric prediction equations to estimate the LBM and appendicular lean soft tissue (ALST) using dual-energy X-ray absorptiometry (DXA) as a reference method. Healthy volunteers (n = 2,220; 36% women; age 18-79 yr), representing a wide range of body mass index (14–44 kg/m2), participated in this study. Their LBM, including ALST, was assessed by DXA along with anthropometric measurements. The sample was divided into prediction (60%) and validation (40%) sets. In the prediction set, a number of prediction models were constructed using DXA-measured LBM and ALST estimates as dependent variables and a combination of anthropometric indices as independent variables. These equations were cross-validated in the validation set. Simple equations using age, height, and weight explained >90% variation in the LBM and ALST in both men and women. Additional variables (hip and limb circumferences and sum of skinfold thicknesses) increased the explained variation by 5–8% in the fully adjusted models predicting LBM and ALST. More complex equations using all of the above anthropometric variables could predict the DXA-measured LBM and ALST accurately, as indicated by low standard error of the estimate (LBM: 1.47 kg and 1.63 kg for men and women, respectively), as well as good agreement by Bland-Altman analyses (Bland JM, Altman D. Lancet 1: 307–310, 1986). These equations could be a valuable tool in large epidemiological studies assessing these body compartments in Indians and other population groups with similar body composition.
登录
查看更多内容
影响因子：
7.7
作者：
Kinra, Sanjay;Sarma, K. V. Rameshwar;Ben-Shlomo, Yoav
通讯作者：
Ben-Shlomo, Yoav
影响因子：
6.8
作者：
AKAIKE, H
通讯作者：
AKAIKE, H
影响因子：
7.1
作者：
Kim, Jaehee;Shen, Wei;Heymsfield, Steven B.
通讯作者：
Heymsfield, Steven B.
影响因子：
7.1
作者：
Kim, J;Wang, ZM;Gallagher, D
通讯作者：
Gallagher, D
影响因子：
3.3
作者：
Shih, R;Wang, ZM;Heymsfield, SB
通讯作者：
Heymsfield, SB