Effect of gas exchange data selection methods on resting metabolic rate estimation in young athletes

dc.contributor.authorBittencourt, Victor Zaban
dc.contributor.authorFreire, Raul
dc.contributor.authorAlcántara Alcántara, Juan Manuel
dc.contributor.authorLoureiro, Luiz Lannes
dc.contributor.authorOliveira, Taillan Martins de
dc.contributor.authorCahuê, Fábio Luiz Candido
dc.contributor.authorItaborahy, Alex
dc.contributor.authorPierucci, Anna Paola Trindade Rocha
dc.contributor.departmentCiencias de la Saludes_ES
dc.contributor.departmentOsasun Zientziakeu
dc.contributor.departmentInstitute on Innovation and Sustainable Development in Food Chain - ISFOODen
dc.date.accessioned2024-05-14T19:02:39Z
dc.date.available2024-05-14T19:02:39Z
dc.date.issued2023
dc.date.updated2024-05-14T18:20:40Z
dc.description.abstractThis 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.en
dc.description.sponsorshipThis research received funding FAPERJ - Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, E-26/201.042/2021 Dr Anna Paola Trindade Rocha Pierucci and MCIN/AEI FJC2020-044453-I Juan M. A. Alcantara.en
dc.format.mimetypeapplication/pdfen
dc.format.mimetypeapplication/zipen
dc.identifier.citationBittencourt, V. Z., Freire, R., Alcantara, J. M. A., Loureiro, L. L., Oliveira, T. M. de, Cahuê, F. L. C., Itaborahy, A., Pierucci, A. P. T. R. (2023) Effect of gas exchange data selection methods on resting metabolic rate estimation in young athletes. PLoS ONE, 18(9), 1-15. https://doi.org/10.1371/journal.pone.0291511.en
dc.identifier.doi10.1371/journal.pone.0291511
dc.identifier.issn1932-6203
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/48114
dc.language.isoengen
dc.publisherPublic Library of Scienceen
dc.relation.ispartofPLoS ONE 18(9), e0291511en
dc.relation.publisherversionhttps://doi.org/10.1371/journal.pone.0291511
dc.rights© 2023 Bittencourt et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectGas exchange data selection methodsen
dc.subjectResting metabolic rate estimationen
dc.subjectYoung athletesen
dc.titleEffect of gas exchange data selection methods on resting metabolic rate estimation in young athletesen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication81010fc5-9a1b-44dd-8cfe-933acda93159
relation.isAuthorOfPublication.latestForDiscovery81010fc5-9a1b-44dd-8cfe-933acda93159

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