In order to explore the influencing factors of aerobic capacity of male students in Beijing colleges and universities, 134 male students aged 18~25 years old in Beijing colleges and universities were selected by random sampling method, and venous blood was drawn in fasting to measure the blood indexes, and gas metabolism was monitored in real time with the MetaMax 3B system from Germany, and the relative VO2max was measured by a linear incremental scheme. The results were analyzed and processed based on Spearman's correlation and ordered Logistic regression. The results showed that the ordered logistic regression equation for Beijing college boys: Ln{P(Y≤1|x)/1-P(Y≤1|x)}=-2.757-0.067*X1-0.025*X2+0.066*X3+0.018*X4-0.009*X5; Ln{P(Y≤2|x)/1-P(Y≤2|x)}=-0.771-0.067*X1-0.025*X2+0.066*X3+0.018*X4-0.009*X5 (X1=weight, X2=HR, X3=SVI, X4=VET, X5=HGB). The p-values of the combined regression equation model coefficients test step, block, and model tests were less than 0.01; the -2 log likelihood value (-2LL) of the goodness-of-fit test was 159.374, the Cox & Snell R2 was 0.331, and the Nagelkerke R2 was 0.373; the predicted rank 1 accuracy was 45.5%, rank 2 accuracy was 100%, rank 3 accuracy was 100%, and the combined was 81.8%, indicating that the logistic regression model performed well. Hosmer and Lemeshow test predicted that there was no significant difference between the predicted values and the observed values (P>0.05). The multivariate Logistic regression model of quantitative loading cardiac function, blood indexes and aerobic capacity of male students in Beijing colleges and universities has a good fit, and HR, SVI, VET and HGB are important predictors of aerobic capacity.