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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.
Afiliación
  • Bittencourt VZ; DAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Freire R; Olympic Laboratory, Brazil Olympic Committee, Rio de Janeiro, Brazil.
  • Alcantara JMA; Institute for Innovation & Sustainable Food Chain Development, Department of Health Sciences, Public University of Navarre, Campus Arrosadía, Pamplona, Spain.
  • Loureiro LL; Navarra Institute for Health Research, IdiSNA, Pamplona, Spain.
  • de Oliveira TM; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.
  • Cahuê FLC; DAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Itaborahy A; DAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
  • Pierucci APTR; DAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
PLoS One ; 18(9): e0291511, 2023.
Article en En | MEDLINE | ID: mdl-37729178
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Metabolismo Basal / Atletas Tipo de estudio: Guideline / Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Metabolismo Basal / Atletas Tipo de estudio: Guideline / Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos