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. 2023 Jun 21;15(6):e40759. doi: 10.7759/cureus.40759

Table 5. Predictors of sleep quality among the studied students.

SAS-SV: Smartphone Addiction Scale Short Version

Variable B Std. error 95% confidence interval for B P-value
Lower Upper
Age -0.032 0.033 -0.096 0.032 0.331
Gender 0.214 0.334 -0.442 0.871 0.521
Educational level 0.121 0.230 -0.333 0.574 0.601
School type 0.085 0.386 -0.675 0.845 0.826
Educational path 0.162 0.144 -0.122 0.446 0.263
Marital status -1.688 1.467 -4.575 1.199 0.251
Living place 0.089 0.384 -0.667 0.846 0.816
Monthly family income -0.353 0.190 -0.726 0.021 0.064
Chronic disease 0.078 0.411 -0.730 0.886 0.850
Psychiatric disease 1.378 0.363 0.664 2.092 < 0.001
Having caffeine less than six hours before bedtime 1.055 0.309 0.448 1.663 0.001
Regular sports activity 0.021 0.341 -0.649 0.691 0.951
SAS-SV score 0.053 0.016 0.022 0.085 0.001
Average no. of hours per day spent on mobile phones 0.040 0.040 -0.037 0.118 0.308