Table 3.
Distribution of smartphone users according to background characteristics (n=496)
| Variable | Smartphone addiction, n (%) | Total, n (%) | P* |
|---|---|---|---|
| Age (completed years) | |||
| 16 | 18 (31.6) | 57 (13.7) | 0.004 |
| 17 | 34 (28.3) | 120 (28.8) | |
| 18 | 52 (51.0) | 102 (24.5) | |
| 19 | 50 (36.5) | 137 (32.9) | |
| Gender | |||
| Male | 85 (35.7) | 238 (57.2) | 0.524 |
| Female | 69 (38.8) | 178 (42.8) | |
| Area of residence | |||
| Urban | 110 (40.9) | 269 (64.7) | 0.027 |
| Rural | 44 (29.9) | 147 (35.3) | |
| Place of education (school vs. college) | |||
| School | 60 (29.7) | 202 (48.6) | 0.003 |
| College | 94 (43.9) | 214 (51.4) | |
| Duration of smartphone use (months) | |||
| <3 | 3 (4.3) | 70 (16.8) | 0.000 |
| 3-6 | 3 (6.7) | 45 (10.8) | |
| 6-12 | 11 (11.7) | 94 (22.6) | |
| >12 | 137 (66.2) | 207 (49.8) | |
| Daily use of smartphone (h/day) | |||
| <1/2 | 6 (4.4) | 135 (32.5) | 0.000 |
| 1/2-1 | 25 (20.2) | 124 (29.8) | |
| 1-2 | 49 (67.1) | 73 (17.5) | |
| >2 | 74 (88.1) | 84 (20.2) |
*Chi-square test