VO Prediction Based on Submaximal Cardiorespiratory Relationships and Body Composition in Male Runners and Cyclists: a Population Study

Overview

Journal Elife

Specialty Biology

Date 2023 May 10

PMID 37162318

Authors

Szczepan Wiecha

Przemyslaw Seweryn Kasiak

Piotr Szwed

Tomasz Kowalski

Igor Cieslinski

Marek Postula

Andrzej Klusiewicz

Affiliations

Soon will be listed here.

Abstract

Background: Oxygen uptake (VO) is one of the most important measures of fitness and critical vital sign. Cardiopulmonary exercise testing (CPET) is a valuable method of assessing fitness in sport and clinical settings. There is a lack of large studies on athletic populations to predict VO using somatic or submaximal CPET variables. Thus, this study aimed to: (1) derive prediction models for maximal VO (VO) based on submaximal exercise variables at anaerobic threshold (AT) or respiratory compensation point (RCP) or only somatic and (2) internally validate provided equations.

Methods: Four thousand four hundred twenty-four male endurance athletes (EA) underwent maximal symptom-limited CPET on a treadmill (n=3330) or cycle ergometer (n=1094). The cohort was randomly divided between: variables selection (n = 1998; n = 656), model building (n = 666; n = 219), and validation (n = 666; n = 219). Random forest was used to select the most significant variables. Models were derived and internally validated with multiple linear regression.

Results: Runners were 36.24±8.45 years; BMI = 23.94 ± 2.43 kg·m; VO=53.81±6.67 mL·min·kg. Cyclists were 37.33±9.13 years; BMI = 24.34 ± 2.63 kg·m; VO=51.74±7.99 mL·min·kg. VO at AT and RCP were the most contributing variables to exercise equations. Body mass and body fat had the highest impact on the somatic equation. Model performance for VO based on variables at AT was R=0.81, at RCP was R=0.91, at AT and RCP was R=0.91 and for somatic-only was R=0.43.

Conclusions: Derived prediction models were highly accurate and fairly replicable. Formulae allow for precise estimation of VO based on submaximal exercise performance or somatic variables. Presented models are applicable for sport and clinical settling. They are a valuable supplementary method for fitness practitioners to adjust individualised training recommendations.

Funding: No external funding was received for this work.

Citing Articles

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Body Oxygen Level Test (BOLT) is not associated with exercise performance in highly-trained individuals.

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Rosol M, Petelczyc M, Gasior J, Mlynczak M PLoS One. 2024; 19(1):e0291706.

PMID: 38198496 PMC: 10781163. DOI: 10.1371/journal.pone.0291706.

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