Statistical Analysis
SPSS 26.0 was used to analyse the data. Categorical data were expressed as percentages, and comparisons between two and more groups were performed using the x2 test. Normally distributed data were described using the mean ± standard deviation. Nonnormally distributed data were described using the median and interquartile range (IQR). The Mann‒Whitney U test was used for comparisons between two groups, and the Kruskal‒Wallis H test was used for comparisons between three or more groups. Spearman’s correlation analysis was used to analyse the correlation between nonnormally distributed data. The optimal cut-off value was derived by using receiver operating curves. Interrater consistency was assessed to evaluate the diagnostic experimental method using kappa values. Variables that were significant at the α=0.2 level in the univariate analysis were subsequently included in the binary logistic regression model to identify the risk factors for OSAHS. P < 0.05 was considered statistically significant.