Table 4. Factors associated with smartphone addiction (SAS-SV score) and sleep quality (PSQI score).
*A higher SAS-SV score indicates higher smartphone addiction; a higher PSQI score indicates lower sleep quality.
Variable | Categories | SAS-SV score | P value | PSQI score | P value |
Age (in years) | Spearman's rho | 0.024 | 0.649 | -0.002 | 0.970 |
Average no. of hours/day spent on mobile phones | Spearman's rho | 0.331 | <0.001 | 0.239 | <0.001 |
Mean ± SD | Mean ± SD | ||||
Gender | Male | 37.6 ± 10.9 | 0.042 | 5.9 ± 3.1 | 0.056 |
Female | 40.0 ± 10.3 | 6.5 ± 2.7 | |||
Educational level | 1st year | 39.7 ± 10.6 | 0.211 | 5.8 ± 2.8 | 0.531 |
2nd year | 37.4 ± 10.6 | 6.3 ± 3.2 | |||
3rd year | 38.5 ± 11.2 | 6.1 ± 2.7 | |||
School type | Government | 38.9 ± 10.6 | 0.097 | 6.1 ± 2.9 | 0.170 |
Private | 35.1 ± 2.0 | 5.8 ± 3.4 | |||
Others | 38.0 ± 5.3 | 7.6 ± 0.9 | |||
Educational path | Common first year | 39.6 ± 10.4 | 0.231 | 6.7 ± 3.4 | 0.425 |
General | 38.7 ± 10.5 | 6.0 ± 2.9 | |||
Computer science and engineering | 32.4 ± 9.7 | 6.7 ± 3.9 | |||
Health and life | 36.3 ± 12.4 | 5.8 ± 3.3 | |||
Course system | 38.4 ± 13.0 | 7.5 ± 3.3 | |||
Literature | 43.7 ± 13.4 | 7.3 ± 2.4 | |||
Scientific | 32.0 ± 9.4 | 5.6 1.1 | |||
Marital status | Single | 38.4 ± 10.7 | 0.834 | 6.1 ± 2.9 | 0.068 |
Married | 39.3 ± 14.2 | 4.0 ± 1.4 | |||
Living place | With parents | 37.9 ± 11.0 | 0.036 | 6.0 ± 2.9 | 0.252 |
With one of the parents | 41.9 ± 7.8 | 6.9 ± 3.4 | |||
Others | 42.2 ± 12.2 | 5.5 ± 2.1 | |||
Monthly family income (in Saudi riyal (SAR)) | <5,000 | 38.8 ± 10.6 | 0.341 | 6.5 ± 2.8 | 0.016 |
5,000-10,000 | 39.2 ± 10.5 | 5.8 ± 3.0 | |||
>10,000 | 37.1 ± 11.3 | 5.6 ± 3.1 | |||
Chronic disease | Yes | 40.2 ± 11.7 | 0.150 | 6.8 ± 3.2 | 0.058 |
No | 38.1 ± 10.6 | 6.0 ± 2.9 | |||
Having caffeine less than six hours before bedtime | Yes | 40.4 ± 10.2 | 0.001 | 6.8 ± 2.9 | <0.001 |
No | 36.6 ± 11.0 | 5.5 ± 2.8 | |||
Regular sports activity | Yes | 35.8 ± 10.8 | 0.003 | 5.7 ± 2.8 | 0.134 |
No | 39.5 ± 10.6 | 6.2 ± 2.9 |