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 maximum oxygen uptake (VO_2max) was measured by a linear incremental scheme. The results were analyzed and processed based on Spearman's correlation and ordered Logistic regression. The results show that the factors affecting the aerobic capacity of male students in Beijing colleges and universities in the regression equation are body weight (M), heart rate (HR), stroke volume (SV), ventricular ejection time (VET) and hemoglobin (HGB). The P of the combined regression equation model coefficients test step, block, and model tests are less than 0.01. The -2 log likelihood value (-2LL) of the goodness-of-fit test is 159.374, the Cox & Snell R² is 0.331, and the Nagelkerke R² is 0.373. The predicted rank 1 accuracy is 45.5%, rank 2 accuracy is 100%, rank 3 accuracy is 100%, and the combined is 81.8%, indicating that the Logistic regression model performs well. Hosmer and Lemeshow test predicts that there is no significant difference between the predicted values and the observed values (P >0.05). This indicates that 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, SV, VET and HGB are important factors to predict aerobic capacity of male students in Beijing colleges and universities. Meanwhile, the subjects do not need to exercise to the limit state, and the intensity of exercise is greatly reduced, which can effectively avoid the occurrence of exercise risk, and the test results of the regression model are better and good, which is suitable for the promotion in a large sample of the population.