Abstract
This study was aimed to establish a maximal oxygen uptake (V̇O 2max max) prediction model using non-exercise variables for young adults in Taiwan. Thirty young individuals participated in this experiment. The accurate V̇O 2max was measured using the K4 telemetry system during increment cycling test. A significant difference in V̇O 2max9 between males (3.34 ± 0.69 liters· min -1 ) and females (2.07 ± 0.38 liters · min -1 ) was found. The results indicate that V̇O 2max was significantly correlated with gender, age and body mass index (BMI). BMI (kg · -2 ) was computed from body weight in kilograms and body height in meters. The multi-regression model (N=24) for predicting. V̇O 2max (liters · min -1 ) was obtained as: V̇O 2max = 3.127 +(0.980 ×Gender) -(0.115 ×Age) +(0.084 ×BMI); R 2 =77.3%. The accuracy of the model was evaluated by conducting a cross-validation analysis (N=6). In conclusion, the established model is a valid and efficient tool that can be used to estimate the V̇O 2max and to select workers for physical demanding jobs.