Prediction of vo2max based on age, body mass, and resting heart rate

Abstract

Purpose. The aim of the present study was to develop a non-exercise regression model for predicting maximal oxygen uptake (VO2max) using age, body mass, and resting heart rate as predictor variables. Methods. The VO2max 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. Results. The results of regression analysis indicated that all three independent variables could significantly (p = 0.000) predict the VO 2max of the studied athletes. Measured VO2max showed significant correlation (0.688) with predicted VO2max. Student's paired samples t test indicated no significant differences between measured VO2max and predicted VO2max (p = 0.782). Conclusions. The results suggest that the nonexercise variables of age, body mass, and resting heart rate, may significantly predict the endurance abilities of athletes (VO2max). © 2014 Human Movement.