Estimation of basal metabolic rate in Chinese: are the current prediction equations applicable?

Nutrition Journal

Research

Wei Shuan Kimberly Tan¹  Nan Xin Wang¹  Stefan G. Camps¹  C. Jeyakumar Henry² 

[1] Clinical Nutrition Research Centre (CNRC), Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore, Singapore;Clinical Nutrition Research Centre (CNRC), Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore, Singapore;Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore;

关键词: Basal Metabolic Rate;    Prediction Equation;    Indirect Calorimetry;    Residual Standard Deviation;    Multiple Stepwise Regression Analysis;   

DOI  :  10.1186/s12937-016-0197-2

 received in 2016-03-03, accepted in 2016-08-18,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundMeasurement of basal metabolic rate (BMR) is suggested as a tool to estimate energy requirements. Therefore, BMR prediction equations have been developed in multiple populations because indirect calorimetry is not always feasible. However, there is a paucity of data on BMR measured in overweight and obese adults living in Asia and equations developed for this group of interest. The aim of this study was to develop a new BMR prediction equation for Chinese adults applicable for a large BMI range and compare it with commonly used prediction equations.MethodsSubjects were 121 men and 111 women (age: 21–67 years, BMI: 16–41 kg/m2). Height, weight, and BMR were measured. Continuous open-circuit indirect calorimetry using a ventilated hood system for 30 min was used to measure BMR. A regression equation was derived using stepwise regression and accuracy was compared to 6 existing equations (Harris-Benedict, Henry, Liu, Yang, Owen and Mifflin). Additionally, the newly derived equation was cross-validated in a separate group of 70 Chinese subjects (26 men and 44 women, age: 21–69 years, BMI: 17–39 kg/m2).ResultsThe equation developed from our data was: BMR (kJ/d) = 52.6 x weight (kg) + 828 x gender + 1960 (women = 0, men = 1; R2 = 0.81). The accuracy rate (within 10 % accurate) was 78 % which compared well to Owen (70 %), Henry (67 %), Mifflin (67 %), Liu (58 %), Harris-Benedict (45 %) and Yang (37 %) for the whole range of BMI. For a BMI greater than 23, the Singapore equation reached an accuracy rate of 76 %. Cross-validation proved an accuracy rate of 80 %.ConclusionsTo date, the newly developed Singapore equation is the most accurate BMR prediction equation in Chinese and is applicable for use in a large BMI range including those overweight and obese.

【 授权许可】

CC BY   
© The Author(s). 2016