Table 3. Multiple logistic regression analysis to determine factors associated with high risk of smartphone addiction.
| Variable | B | Wald | AOR+ | 95% CI# | P |
|---|---|---|---|---|---|
| Kulliyyah | |||||
| Dentistry (reference) | |||||
| Medicine | 0.57 | 4.68 | 0.56 | 0.34-0.95 | 0.03* |
| Gender | |||||
| Female (reference) | |||||
| Male | 0.80 | 7.61 | 2.23 | 1.26-3.94 | 0.01* |
| Sleep problems | |||||
| Yes (reference) | |||||
| No | 0.24 | 0.83 | 0.79 | 0.47-1.32 | 0.36 |
| Time spent on smartphone (hours per day) | |||||
| >3 (reference) | |||||
| 0-3 | 0.87 | 7.40 | 0.42 | 0.23-0.79 | 0.01* |
| Use of smartphone for social media | |||||
| No (reference) | |||||
| Yes | 0.63 | 4.08 | 1.87 | 1.02-3.43 | 0.04* |
| Use of smartphone for education-related activities | |||||
| No (reference) | |||||
| Yes | 0.70 | 7.24 | 0.50 | 0.30-0.83 | 0.01* |
| Depression | |||||
| No (reference) | |||||
| Yes | 0.63 | 5.85 | 1.87 | 1.13-3.12 | 0.02* |
| Stress | |||||
| No (reference) | |||||
| Yes | 0.34 | 1.60 | 1.41 | 0.83-2.39 | 0.21 |