VO2max prediction based on submaximal cardiorespiratory relationships and body composition in male runners and cyclists: a population study

Abstract

Background:Oxygen uptake (VO2) 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 VO2maxusing somatic or submaximal CPET variables. Thus, this study aimed to: (1) derive prediction models for maximal VO2(VO2max) 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 (nrunners= 1998; ncyclist= 656), model building (nrunners= 666; ncyclist= 219), and validation (nrunners= 666; ncyclist= 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−2; VO2max=53.81±6.67 mL·min−1·kg−1. Cyclists were 37.33±9.13 years; BMI = 24.34 ± 2.63 kg·m−2; VO2max=51.74±7.99 mL·min−1·kg−1. VO2at 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 VO2maxbased on variables at AT was R2=0.81, at RCP was R2=0.91, at AT and RCP was R2=0.91 and for somatic-only was R2=0.43.Conclusions:Derived prediction models were highly accurate and fairly replicable. Formulae allow for precise estimation of VO2maxbased 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.