Statistics analysis
REGRESSION
All data were statistically analyzed using statistical software SPSS 26.0. The normally distributed measurement data were expressed as the mean ± standard deviation (x ± SD), and the skewed distributed data were expressed as the median and interquartile range (M [IQR]). The data conforming to a normal distribution and homogeneity of variance were compared using a t-test and a one-way analysis of variance, otherwise they were evaluated using a nonparametric test. The count data were expressed as an n percentage (%) and compared between the groups using a chi-square test. A multivariate logistic regression analysis was performed to correct the confounding factors. A P value of < 0 0.05 was considered statistically significant. The inspection level was set at α = 0.05 (two-sided).