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Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695646/ https://www.ncbi.nlm.nih.gov/pubmed/31374849 http://dx.doi.org/10.3390/ijerph16152747 |
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author | Xue, Jingjing Li, Shuo Zhang, Yong Hong, Ping |
author_facet | Xue, Jingjing Li, Shuo Zhang, Yong Hong, Ping |
author_sort | Xue, Jingjing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6695646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66956462019-09-05 Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults Xue, Jingjing Li, Shuo Zhang, Yong Hong, Ping Int J Environ Res Public Health Article 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. MDPI 2019-08-01 2019-08 /pmc/articles/PMC6695646/ /pubmed/31374849 http://dx.doi.org/10.3390/ijerph16152747 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Xue, Jingjing Li, Shuo Zhang, Yong Hong, Ping Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults |
title | Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults |
title_full | Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults |
title_fullStr | Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults |
title_full_unstemmed | Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults |
title_short | Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults |
title_sort | accuracy of predictive resting-metabolic-rate equations in chinese mainland adults |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695646/ https://www.ncbi.nlm.nih.gov/pubmed/31374849 http://dx.doi.org/10.3390/ijerph16152747 |
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