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

Victor Zaban Bittencourt, Raul Freire, Juan M A Alcantara, Luiz Lannes Loureiro, Taillan Martins de Oliveira, Fábio Luiz Candido Cahuê, Alex Itaborahy and Anna Paola Trindade Rocha Pierucci

PLOS ONE, 2023, vol. 18, issue 9, 1-15

Abstract: 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.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0291511

DOI: 10.1371/journal.pone.0291511

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