Development of non-exercise based VO 2max prediction equation in college-aged participants in India

摘要

Aim. The purpose of this study was to develop a linear regression model to predict treadmill VO 2max scores using nonexercise data. Methods. In this cross sectional study, one hundred twenty college-aged participants (60 male, 60 female, mean age 22.02±2.29 years) voluntarily participated and successfully completed a maximal graded exercise test (GXT) on a motorized treadmill to assess VO 2max (mean±SD; 2.05 L·min -1±1.03 L·min -1). The maximal treadmill GXT required participants to exercise to volitional fatigue. Results. Relevant non-exercise data included a mean (±SD) perceived functional ability (PFA) score, and physical activity rating (PA-R) score, body surface area (BSA) of 14.6±3.9, 2.97±1.75, 1.66±0.17, respectively. Multiple linear regression generated the following regression equation (R=0.899, R 2=0.805, adjusted R 2=0.799, SEE=0.426 L·min -1): VO 2max(L·min)=-1.541+1.096 (gender, 1=male, 0=female) +.081 (PFA) +1.084(BSA). Each predictor variable was statistically significant (P0.05) with beta weights for gender, PFA, BSA, PA-R, and equal to (-0.518), (0.255), (0.228), (0.092), percent body fat (-0.003), respectively. The accuracy of the model was evaluated by conducting a cross-validation analysis (N.=18). Conclusion. This study provides a N-EX regression prediction model that yields results and also provide a convenient and efficient tool that estimate VO 2max in healthy college-aged participants in India.