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[北京超重及肥胖成年人的基础代谢率]

[Basal metabolic rate of overweight and obese adults in Beijing].

作者信息

Zhang Ying, Wu Jinghuan, Hong Ping, Mao Deqian, Zhuo Qin, Chen Xiaorong, Yang Xiaoguang

机构信息

National Institute for Nutrition and Health, Chinese CDC, Beijing 100050, China.

出版信息

Wei Sheng Yan Jiu. 2016 Sep;45(5):739-748.

Abstract

OBJECTIVE

To detect the basal metabolic rate( BMR) of overweight and obese adults in Beijing, to investigate the correlation of BMR with body composition and to find a better BMR estimated equation for overweight and obese adults in China.

METHODS

The BMR and body composition were detected with indirect calorimetry and dual-energy Xray absorptiometry. The correlations of BMR with body composition were used by Pearson correlation test. The measured BMR data were compared with the estimated values of commonly used equations.

RESULTS

The study involved 85 adults. The BMR of overweight and obese adults were significantly more than those of normal BMI( P < 0. 001). The BMR of obese people were significantly more than overweight( P = 0. 036). The measured BMR was significantly correlated with lean body mass( r = 0. 865; r = 0. 784) in overweight and obese adults. The measured BMR was negatively correlated with fat mass in overweightpeople, but not among the normal BMI and obese people. The BMR average bias of HENRY equation and LIU equation were less than 2%, respectively, the difference was not significant( P > 0. 05).

CONCLUSION

The BMR of overweight and obese people is higher than normal healthy people. The important factor affect BMR is lean body mass. The impact of fat mass on BMR is uncertain. HENRY equation and LIU( ≥18) equation are suitable for predicting BMR of overweight and obese people.

摘要

目的

检测北京超重和肥胖成年人的基础代谢率(BMR),探讨BMR与身体成分的相关性,并寻找适合中国超重和肥胖成年人的更佳BMR估算方程。

方法

采用间接测热法和双能X线吸收法检测BMR和身体成分。用Pearson相关检验分析BMR与身体成分的相关性。将实测BMR数据与常用方程的估算值进行比较。

结果

本研究纳入85名成年人。超重和肥胖成年人的BMR显著高于正常体重指数者(P<0.001)。肥胖者的BMR显著高于超重者(P=0.036)。超重和肥胖成年人的实测BMR与去脂体重显著相关(r=0.865;r=0.784)。超重者的实测BMR与脂肪量呈负相关,但正常体重指数者和肥胖者之间无此相关性。HENRY方程和LIU方程的BMR平均偏差分别小于2%,差异无统计学意义(P>0.05)。

结论

超重和肥胖者的BMR高于正常健康人。影响BMR的重要因素是去脂体重。脂肪量对BMR的影响尚不确定。HENRY方程和LIU(≥18)方程适用于预测超重和肥胖者的BMR。

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