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

Author

Listed:
  • Jingjing Xue

    (China Institute of Sport Science, Beijing 100061, China)

  • Shuo Li

    (School of Sport Science, Shanghai University of Sport, Shanghai 200438, China)

  • Yong Zhang

    (Tianjin Key Laboratory of Exercise Physiology and Sports Medicine, Tianjin University of Sport, Tianjin 301617, China)

  • Ping Hong

    (Winter Sports Administrative Center, General Administration of Sport of China, Beijing 100044, China)

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 p < 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.

Suggested Citation

  • Jingjing Xue & Shuo Li & Yong Zhang & Ping Hong, 2019. "Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults," IJERPH, MDPI, vol. 16(15), pages 1-10, August.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:15:p:2747-:d:253701
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    References listed on IDEAS

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    1. Kuen-Tsann Chen & Yu-Yawn Chen & Chia-Wei Wang & Chih-Lin Chuang & Li-Ming Chiang & Chung-Liang Lai & Hsueh-Kuan Lu & Gregory B Dwyer & Shu-Ping Chao & Ming-Kuei Shih & Kuen-Chang Hsieh, 2016. "Comparison of Standing Posture Bioelectrical Impedance Analysis with DXA for Body Composition in a Large, Healthy Chinese Population," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-13, July.
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    Cited by:

    1. Manwen Xu & Ji Li & Yan Zou & Yining Xu, 2021. "The Comparison of the Effects between Continuous and Intermittent Energy Restriction in Short-Term Bodyweight Loss for Sedentary Population: A Randomized, Double-Blind, Controlled Trial," IJERPH, MDPI, vol. 18(21), pages 1-21, November.

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