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Accuracy of Resting Metabolic Rate Prediction Equations in Sport Climbers
Resting metabolic rate (RMR) represents the energy required to maintain vital body functions. In dietary practice, RMR is determined by predictive equations on the basis of using body weight or fat-free mass. Our study aimed to assess whether predictive equations used to estimate RMR are reliable to...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001726/ https://www.ncbi.nlm.nih.gov/pubmed/36901224 http://dx.doi.org/10.3390/ijerph20054216 |
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author | Chmielewska, Anna Kujawa, Krzysztof Regulska-Ilow, Bożena |
author_facet | Chmielewska, Anna Kujawa, Krzysztof Regulska-Ilow, Bożena |
author_sort | Chmielewska, Anna |
collection | PubMed |
description | Resting metabolic rate (RMR) represents the energy required to maintain vital body functions. In dietary practice, RMR is determined by predictive equations on the basis of using body weight or fat-free mass. Our study aimed to assess whether predictive equations used to estimate RMR are reliable tools for estimating the energy requirements of sport climbers. The study included 114 sport climbers whose RMR was measured with a Fitmate WM. Anthropometric measurements were performed with X-CONTACT 356. The resting metabolic rate was measured by indirect calorimetry and was compared with the RMR estimated by 14 predictive equations on the basis of using body weight/fat-free mass. All equations underestimated RMR in male and female climbers, except for De Lorenzo’s equation in the group of women. The De Lorenzo equation demonstrated the highest correlation with RMR in both groups. The results of the Bland–Altman tests revealed an increasing measurement error with increasing metabolism for most of the predictive equations in male and female climbers. All equations had low measurement reliability according to the intraclass correlation coefficient. Compared with the indirect calorimetry measurement results, none of the studied predictive equations demonstrated high reliability. There is a need to develop a highly reliable predictive equation to estimate RMR in sport climbers. |
format | Online Article Text |
id | pubmed-10001726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100017262023-03-11 Accuracy of Resting Metabolic Rate Prediction Equations in Sport Climbers Chmielewska, Anna Kujawa, Krzysztof Regulska-Ilow, Bożena Int J Environ Res Public Health Article Resting metabolic rate (RMR) represents the energy required to maintain vital body functions. In dietary practice, RMR is determined by predictive equations on the basis of using body weight or fat-free mass. Our study aimed to assess whether predictive equations used to estimate RMR are reliable tools for estimating the energy requirements of sport climbers. The study included 114 sport climbers whose RMR was measured with a Fitmate WM. Anthropometric measurements were performed with X-CONTACT 356. The resting metabolic rate was measured by indirect calorimetry and was compared with the RMR estimated by 14 predictive equations on the basis of using body weight/fat-free mass. All equations underestimated RMR in male and female climbers, except for De Lorenzo’s equation in the group of women. The De Lorenzo equation demonstrated the highest correlation with RMR in both groups. The results of the Bland–Altman tests revealed an increasing measurement error with increasing metabolism for most of the predictive equations in male and female climbers. All equations had low measurement reliability according to the intraclass correlation coefficient. Compared with the indirect calorimetry measurement results, none of the studied predictive equations demonstrated high reliability. There is a need to develop a highly reliable predictive equation to estimate RMR in sport climbers. MDPI 2023-02-27 /pmc/articles/PMC10001726/ /pubmed/36901224 http://dx.doi.org/10.3390/ijerph20054216 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chmielewska, Anna Kujawa, Krzysztof Regulska-Ilow, Bożena Accuracy of Resting Metabolic Rate Prediction Equations in Sport Climbers |
title | Accuracy of Resting Metabolic Rate Prediction Equations in Sport Climbers |
title_full | Accuracy of Resting Metabolic Rate Prediction Equations in Sport Climbers |
title_fullStr | Accuracy of Resting Metabolic Rate Prediction Equations in Sport Climbers |
title_full_unstemmed | Accuracy of Resting Metabolic Rate Prediction Equations in Sport Climbers |
title_short | Accuracy of Resting Metabolic Rate Prediction Equations in Sport Climbers |
title_sort | accuracy of resting metabolic rate prediction equations in sport climbers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001726/ https://www.ncbi.nlm.nih.gov/pubmed/36901224 http://dx.doi.org/10.3390/ijerph20054216 |
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