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中国大陆成年人预测静息代谢率方程的准确性。

Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults.

机构信息

China Institute of Sport Science, Beijing 100061, China.

School of Sport Science, Shanghai University of Sport, Shanghai 200438, China.

出版信息

Int J Environ Res Public Health. 2019 Aug 1;16(15):2747. doi: 10.3390/ijerph16152747.

Abstract

Accurate measurement of the resting metabolic rate (RMR) is necessary when we make energy requirements and nutrition suggestions in clinical. However, indirect calorimetry is not always available. The objectives of this study were to make a comparison between RMR measured by indirect calorimetry and RMR predicted by different kinds of equations, and to develop new predictive equations for Chinese mainland adults. In this study, 315 Chinese mainland adults from different provinces all over China were recruited. Subjects underwent half a day of testing, which consisted of anthropometric assessment and RMR measurement. Measured and predicted RMR were compared; new optimal equations for Chinese mainland adults were developed and tested by splitting the subjects into a development and validation group. The measured RMR was in the range of 831-2776 kcal/day (mean 1651 ± 339 kcal/day). Our findings indicated that, except for the Harris-Benedict and Schofield equations, three Chinese equations and two fat-free mass (FFM) modeling equations all significantly underestimated RMR compared to the measured value (all < 0.01). There were no significant differences between predicted and measured RMR using the new equations for females and males. Of the pre-existing equations, Schofield's is the most suitable for Chinese mainland adults. However, the two new equations developed in this study seem to be more effective for predicting the RMR of Chinese mainland adults, and need to be validated by a larger independent sample with different physiological and anthropometric characteristics.

摘要

当我们在临床中制定能量需求和营养建议时,准确测量静息代谢率(RMR)是必要的。然而,间接测热法并不总是可用的。本研究的目的是比较间接测热法测量的 RMR 与不同类型方程预测的 RMR 之间的差异,并为中国大陆成年人制定新的预测方程。

在这项研究中,我们招募了来自中国不同省份的 315 名中国大陆成年人。受试者进行了半天的测试,包括人体测量评估和 RMR 测量。比较了测量和预测的 RMR;通过将受试者分为开发和验证组,为中国大陆成年人开发和测试了新的最佳方程。

测量的 RMR 范围为 831-2776 kcal/天(平均 1651 ± 339 kcal/天)。我们的研究结果表明,除了 Harris-Benedict 和 Schofield 方程外,三种中国方程和两种去脂体重(FFM)建模方程与实测值相比均显著低估了 RMR(均<0.01)。新方程用于预测女性和男性的预测 RMR 与实测 RMR 之间没有显著差异。

在现有的方程中,Schofield 方程最适合中国大陆成年人。然而,本研究中开发的两种新方程似乎更有效地预测中国大陆成年人的 RMR,需要用具有不同生理和人体测量特征的更大独立样本进行验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d401/6695646/bed35aac7b95/ijerph-16-02747-g001.jpg

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