Prediction of VO<sub>2</sub>max based on age, body mass, and resting heart rate

Abstract

PurposeThe aim of the present study was to develop a non-exercise regression model for predicting maximal oxygen uptake (VO<sub>2</sub>max) using age, body mass, and resting heart rate as predictor variables.MethodsThe VO<sub>2</sub>max of 1502 active football players aged 16–35 years was measured using the Astrand Bike Test. The obtained data were analyzed by calculating basic statistical parameters and performing correlation and regression analysis.ResultsThe results of regression analysis indicated that all three independent variables could significantly (<i>p</i> = 0.000) predict the VO<sub>2</sub>max of the studied athletes. Measured VO<sub>2</sub>max showed significant correlation (0.688) with predicted VO<sub>2</sub>max. Student’s paired samples t test indicated no significant differences between measured VO<sub>2</sub>max and predicted VO<sub>2</sub>max (<i>p</i> = 0.782).ConclusionsThe results suggest that the nonexercise variables of age, body mass, and resting heart rate, may significantly predict the endurance abilities of athletes (VO<sub>2</sub>max).