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The predictive equations of resting metabolic rate for <scp>T</scp> ibetan adolescents aged 13–18 in <scp>T</scp> ibet, <scp>C</scp> hina

Authors :
Yi Sun
Yuan Liu
Xiaojian Yin
Ming Li
Ting Zhang
Feng Zhang
Yaru Guo
Pengwei Sun
Source :
American Journal of Human Biology. 35
Publication Year :
2022
Publisher :
Wiley, 2022.

Abstract

The resting metabolic rate (RMR) predictive equations suitable for Tibetan adolescents in Tibet, China, were developed to provide a reference for their reasonable energy intake.We measured RMR by indirect calorimetry and body composition by bioelectrical impedance analysis in 325 Tibetan adolescents aged 13-18 years in Tibet, China. Stepwise regression analysis was used to develop the predictive equations. Pearson correlation analysis, paired sample t test, bias rate, concordance correlation coefficient (CCC) and Bland-Altman were used to verify the validity of the predictive equations.The RThe existing predictive equations cannot accurately predict the RMR of Tibetan adolescents in Tibet, China. In this study, the age segmentation predictive equations with age, sex, and fat free mass (FFM) as independent variables were more valid. The predictive equations were as follows: RMR (kcal/day) = 50.1 &#215; FFM (kg) - 202.8 &#215; Sex (F: 0; M: 1) - 72.1 &#215; Age + 930.3, 13-15 years; RMR (kcal/day) = 58.4 &#215; FFM (kg) - 441.1 &#215; Sex (F: 0; M: 1) - 702.2, 16-18 years.

Details

ISSN :
15206300 and 10420533
Volume :
35
Database :
OpenAIRE
Journal :
American Journal of Human Biology
Accession number :
edsair.doi.dedup.....47457d1c6d689b7a64460f1232765096