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.