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 |