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通过去脂体重和脂肪量预测静息能量消耗。

Prediction of resting energy expenditure from fat-free mass and fat mass.

作者信息

Nelson K M, Weinsier R L, Long C L, Schutz Y

机构信息

Department of Research, Baptist Medical Centers, Birmingham, AL 35211.

出版信息

Am J Clin Nutr. 1992 Nov;56(5):848-56. doi: 10.1093/ajcn/56.5.848.

Abstract

On the basis of literature values, the relationship between fat-free mass (FFM), fat mass (FM), and resting energy expenditure [REE (kJ/24 h)] was determined for 213 adults (86 males, 127 females). The objectives were to develop a mathematical model to predict REE based on body composition and to evaluate the contribution of FFM and FM to REE. The following regression equations were derived: 1) REE = 1265 + (93.3 x FFM) (r2 = 0.727, P < 0.001); 2) REE = 1114 + (90.4 x FFM) + (13.2 x FM) (R2 = 0.743, P < 0.001); and 3) REE = (108 x FFM) + (16.9 x FM) (R2 = 0.986, P < 0.001). FM explained only a small part of the variation remaining after FFM was accounted for. The models that include both FFM and FM are useful in examination of the changes in REE that occur with a change in both the FFM and FM. To account for more of the variability in REE, FFM will have to be divided into organ mass and skeletal muscle mass in future analyses.

摘要

基于文献数据,确定了213名成年人(86名男性,127名女性)的去脂体重(FFM)、脂肪量(FM)与静息能量消耗[REE(kJ/24小时)]之间的关系。目的是建立一个基于身体成分预测REE的数学模型,并评估FFM和FM对REE的贡献。得出了以下回归方程:1)REE = 1265 +(93.3×FFM)(r2 = 0.727,P < 0.001);2)REE = 1114 +(90.4×FFM)+(13.2×FM)(R2 = 0.743,P < 0.001);3)REE =(108×FFM)+(16.9×FM)(R2 = 0.986,P < 0.001)。在考虑了FFM之后,FM仅解释了剩余变异的一小部分。同时包含FFM和FM的模型有助于研究FFM和FM同时变化时REE的变化情况。为了解释更多REE的变异性,在未来的分析中,FFM将不得不分为器官质量和骨骼肌质量。

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