非运动回归模型预测大学生最大摄氧量

研究的主要目的是采用非运动预测变量建立预测大学生最大摄氧量回归模型。研究结果显示：(1)预测大学生最大摄氧量N-EX(non-exercise)回归模型精度高于文献记载的其他回归模型。(2)PFA变量可表示观察最大摄氧量值变异，能替代运动测定变量，有增强N-EX回归模型准确预测最大摄氧量值的能力。(3)体力活动个体差异较小人群，不宜采用体力活动情况(PAR)变量。(4)测定BMIN-EX回归模型优于％FATN-EX回归模型。(5)样本交叉核实国外预测最大摄氧量N-EX回归模型．SEI值较高，说明国外预测最大摄氧量N-EX回归模型不适合我国人群。研究结果说明N-EX回归模型可以提供一种有效而方便的预测大学生最大摄氧量的方法。

Non-exercise VO2max Preduction for College Student

This study try to develop a VO 2max regression model for college students derived strictly from non-exercise predictor variables. The N-EX regression model in this study exceeded the accuracy of many regression models in the literature. The PFA data were useful in explaining observed VO 2max variance and enhanced the ability of the N-EX regression model to accurately predict criterion VO2max. There was smaller difference in activity among college students, so habitual physical activity (PAR) data shouldn't be used. Cross-validation using PRESS statistics demonstrated minimal shrinkage 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 questionnaire-based N-EX regression model provides a valid and convenient method for predicting VO 2max of college students.