Bootstrap indirect effects analysis of the intermediary effects of the variables
The intermediary effects of the variables were analyzed with the bootstrap number set as 5,000. The significance of the specific intermediary was determined using the nonparametric percentile bootstrap method with deviation correction. The path of SSRS→SAS→PSQI, when the confidence interval was not 0, showed that the SAS score had a significant effect between the SSRS score and the PSQI score (β=0.157, P=0.002). The path of SSRS→SASR→PSQI, when the confidence interval was not 0, showed that the SAS score had a significant effect between the SSRS score and the PSQI score (β=0.159, P<0.0001). Table 4 summarizes the findings of the bootstrap indirect effect analysis of the scores for the self-reporting questionnaires.