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Effect of gas exchange data selection methods on resting metabolic rate estimation in young athletes
This cross-sectional study analysed the effect of the gas exchange data selection methods on the resting metabolic rate (RMR) estimation and proposed a protocol shortening providing a suitable RMR estimation for young athletes. Sixty-six healthy young Brazilian athletes performed a 30-minute RMR ass...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511082/ https://www.ncbi.nlm.nih.gov/pubmed/37729178 http://dx.doi.org/10.1371/journal.pone.0291511 |
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author | Bittencourt, Victor Zaban Freire, Raul Alcantara, Juan M. A. Loureiro, Luiz Lannes de Oliveira, Taillan Martins Cahuê, Fábio Luiz Candido Itaborahy, Alex Pierucci, Anna Paola Trindade Rocha |
author_facet | Bittencourt, Victor Zaban Freire, Raul Alcantara, Juan M. A. Loureiro, Luiz Lannes de Oliveira, Taillan Martins Cahuê, Fábio Luiz Candido Itaborahy, Alex Pierucci, Anna Paola Trindade Rocha |
author_sort | Bittencourt, Victor Zaban |
collection | PubMed |
description | This cross-sectional study analysed the effect of the gas exchange data selection methods on the resting metabolic rate (RMR) estimation and proposed a protocol shortening providing a suitable RMR estimation for young athletes. Sixty-six healthy young Brazilian athletes performed a 30-minute RMR assessment. Different methods of gas exchange data selection were applied: short and long-time intervals, steady-state (SSt), and filtering. A mixed one-way ANOVA was used to analyse the mean differences in gas exchange, RMR, respiratory exchange ratio (RER), and coefficients of variation across all methods. Additionally, paired Student’s t-test were used to compare the first and best SSt RMR values for each SSt method (3, 4, and 5-min). The 5-min SSt method provided the lowest RMR estimate (1454 kcal.day(-1)). There was a statistical difference between methods (F = 2.607, p = 0.04), but they presented a clinically irrelevant absolute difference (~36 kcal.day(-1)). There were no differences in RER among methods. In addition, using the SSt method, 12 minutes of assessment were enough to obtain a valid estimation of RMR. The 5-min SSt method should be employed for assessing the RMR among young athletes, considering the possibility of obtaining a shortened assessment (~12 min) with an acceptable and low coefficient of variation. |
format | Online Article Text |
id | pubmed-10511082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-105110822023-09-21 Effect of gas exchange data selection methods on resting metabolic rate estimation in young athletes Bittencourt, Victor Zaban Freire, Raul Alcantara, Juan M. A. Loureiro, Luiz Lannes de Oliveira, Taillan Martins Cahuê, Fábio Luiz Candido Itaborahy, Alex Pierucci, Anna Paola Trindade Rocha PLoS One Research Article This cross-sectional study analysed the effect of the gas exchange data selection methods on the resting metabolic rate (RMR) estimation and proposed a protocol shortening providing a suitable RMR estimation for young athletes. Sixty-six healthy young Brazilian athletes performed a 30-minute RMR assessment. Different methods of gas exchange data selection were applied: short and long-time intervals, steady-state (SSt), and filtering. A mixed one-way ANOVA was used to analyse the mean differences in gas exchange, RMR, respiratory exchange ratio (RER), and coefficients of variation across all methods. Additionally, paired Student’s t-test were used to compare the first and best SSt RMR values for each SSt method (3, 4, and 5-min). The 5-min SSt method provided the lowest RMR estimate (1454 kcal.day(-1)). There was a statistical difference between methods (F = 2.607, p = 0.04), but they presented a clinically irrelevant absolute difference (~36 kcal.day(-1)). There were no differences in RER among methods. In addition, using the SSt method, 12 minutes of assessment were enough to obtain a valid estimation of RMR. The 5-min SSt method should be employed for assessing the RMR among young athletes, considering the possibility of obtaining a shortened assessment (~12 min) with an acceptable and low coefficient of variation. Public Library of Science 2023-09-20 /pmc/articles/PMC10511082/ /pubmed/37729178 http://dx.doi.org/10.1371/journal.pone.0291511 Text en © 2023 Bittencourt et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bittencourt, Victor Zaban Freire, Raul Alcantara, Juan M. A. Loureiro, Luiz Lannes de Oliveira, Taillan Martins Cahuê, Fábio Luiz Candido Itaborahy, Alex Pierucci, Anna Paola Trindade Rocha Effect of gas exchange data selection methods on resting metabolic rate estimation in young athletes |
title | Effect of gas exchange data selection methods on resting metabolic rate estimation in young athletes |
title_full | Effect of gas exchange data selection methods on resting metabolic rate estimation in young athletes |
title_fullStr | Effect of gas exchange data selection methods on resting metabolic rate estimation in young athletes |
title_full_unstemmed | Effect of gas exchange data selection methods on resting metabolic rate estimation in young athletes |
title_short | Effect of gas exchange data selection methods on resting metabolic rate estimation in young athletes |
title_sort | effect of gas exchange data selection methods on resting metabolic rate estimation in young athletes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511082/ https://www.ncbi.nlm.nih.gov/pubmed/37729178 http://dx.doi.org/10.1371/journal.pone.0291511 |
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