A model to predict maximal oxygen uptake using vital signs and lifestyles in university students

Abstract

Background: Maximal oxygen uptake (VO2max) is measured using maximal and submaximal exercise tests or can be predicted using demographic variables, body adiposity, vital signs and lifestyles. Aim: To elaborate an equation to predict the VO2max in the absence of cardiopulmonary test in university students. Material and Methods: VO2max was measured directly using a cardiopulmonary test on a treadmill in 121 students aged 22 ± 2 years (59 males). Data about drug and medication use, physical activity [PA], vital signs at rest, and basic anthropometry were collected. The independent variables were included in a multivariate equation and the validity of the model was checked through distribution assumptions and according to the concordance limits of the Bland-Altman diagram. Results: The best predictive equation for VO2max incorporated sex, age, body mass index, blood pressure, heart rate, smoking habits and PA as independent variables. The distributional assumptions were fulfilled (p > 0.05), there were no differences between the equation and the measurement of VO2max (p = 0.854) with a bias of -0.08 ml·kg·min-1 (95% confidence intervals [-0.95; 0.78]). Conclusions: The resulting equation predicts VO2max based on body adiposity, physiological parameters and life habits.