We performed statistical analyses using SPSS 25 software. Continuous variables were described as the mean and standard deviation (SD), if does not conform to the normal distribution and with uneven variance they were described by the median method. Categorical variables were expressed in percentages and constituent ratios. The logistic regression model is insufficient to deal with the collinearity of variables, while the CART is not affected by the collinearity problems among variables in the analysis. The binary logistic regression model and classification and regression tree (CART) model were used to analyze factors related to mental stress. Both models took the existence of mental stress (1 = yes, 0 = no) as the dependent variable. The CART model was established by chi-squared automatic interaction detector (CHAID). The minimum sample size of parent node and child node was 100 and 50 respectively, and the maximum number of growth layers of the tree is 3 layers. Then, we explored the main influencing factors of mental stress by establishing the ordered logistic model. All significance tests were double-tailed, and the difference was statistically significant if P < 0.05.

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