Estimation of Basal Metabolic Rate in Chinese: Are the Current Prediction Equations Applicable?

Estimation of Basal Metabolic Rate in Chinese: Are the Current Prediction Equations Applicable?

Nutrition Journal

10.1186/s12937-016-0197-2

https://doi.org/10.1186/s12937-016-0197-2

Stefan Gerardus Camps, Nan Xin Wang, Wei Shuan Kimberly Tan, Christiani Jeyakumar Henry

Basal metabolic rate

31 August 2016

Camps SG, Wang NX, Tan WS, Henry CJ. Estimation of basal metabolic rate in Chinese: are the current prediction equations applicable?. Nutr J. 2016;15(1):79. Published 2016 Aug 31. doi:10.1186/s12937-016-0197-2

Background: Measurement 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. Methods: Subjects were 121 men and 111 women (age: 21-67 years, BMI: 16-41 kg/m(2)). 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/m(2)). Results: The equation developed from our data was: BMR (kJ/d) = 52.6 x weight (kg) + 828 x gender + 1960 (women = 0, men = 1; R(2) = 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 %. Conclusions: To 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.

http://creativecommons.org/licenses/by/4.0/

The research was supported by the Agency for Science, Technology and Research (A*STAR) (BMRC Strategic Positioning Fund SPF2013/003)

https://oar.a-star.edu.sg/communities-collections/articles/16001

1475-2891

Singapore Institute for Clinical Sciences