Non-exercise V(?)O_2max Prediction For College Students

This study sought to develop a VO2max regression model for college students derived strictly from non-exercise predictorvariables. VO2max was measured using a Bruce treadmill protocol. Predictor variables used in the N-EX regression model include (a) the subject's perceived functional ability (PFA), (b) percent body fat (%FAT) or body mass index (BMI), (c) gender. Results of this study show: (1) The N-EX regression model (R=0.86-0.88, SEE= 3.5-3.8ml.min-1.kg-1) in this study exceeded the accuracy of many regression models in the literature. (2) The PFA data were useful in 2explaining observed VO2max variance (squared partial r =0.184, p<0.0001) and enhanced the ability of the N-EX regression model to?accurately predict criterion VOimax. (3) There was smaller difference in activity among people, so habitual physical activity (PAR) data shouldn't be used. (4) Measured BMI N-EX regression model was better than %FAT N-EX regression model. (5) Cross-validation using PRESS statistics demonstrated minimal shrinkage (R=0.85-0.85, SEE=3.85-3.9ml.min-1.kg-1) of the present. Cross-validation of foreign N-EX regression model with the present sample results in higher SE1 values, which shows N-EX regression model is not fit for domestic people. These results suggest that a N-EX regression model providesa valid and convenient method for predicting VO2max in college students.