Table 3.
Relationship between smartphone addiction and characteristics of the participants
| High smartphone use group (261) | Low smartphone use group (251) | P-value | |||
|---|---|---|---|---|---|
| Number | % | Number | % | ||
| Gender | |||||
| Male | 88 | 33.8 | 70 | 28.5 | 0.191 |
| Female | 172 | 66.2 | 176 | 71.5 | |
| Age | |||||
| 21–24 | 17 | 6.5 | 31 | 12.4 | 0.026* |
| 25–29 | 105 | 40.2 | 78 | 31.3 | |
| 30–39 | 117 | 44.8 | 110 | 44.2 | |
| > =40 | 22 | 8.4 | 30 | 12.0 | |
| Marital status | |||||
| Single | 115 | 44.1 | 121 | 48.4 | 0.268 |
| Married | 135 | 51.7 | 124 | 49.6 | |
| Divorced | 11 | 4.2 | 5 | 2.0 | |
| Number of children | |||||
| 0 | 147 | 56.3 | 139 | 56.0 | 0.867 |
| 1 | 37 | 14.2 | 30 | 12.1 | |
| 2 | 31 | 11.9 | 33 | 13.3 | |
| > =3 | 46 | 17.6 | 46 | 18.5 | |
| Educational level | |||||
| Master | 180 | 69.2 | 162 | 66.1 | |
| PhD | 80 | 30.8 | 83 | 33.9 | |
| Academic year | |||||
| First | 80 | 30.8 | 56 | 22.9 | 0.349 |
| Second | 80 | 30.8 | 82 | 33.5 | |
| Third | 48 | 18.5 | 55 | 22.4 | |
| Fourth | 27 | 10.4 | 25 | 10.2 | |
| Fifth | 25 | 9.6 | 27 | 11.0 | |
| Being outside the country | |||||
| Yes | 94 | 36.2 | 79 | 31.5 | 0.264 |
| No | 166 | 63.8 | 172 | 68.5 | |
| Monthly income | |||||
| 5000 SR | 104 | 40.3 | 92 | 39.3 | |
| 5000–10,000 SR | 71 | 27.5 | 67 | 28.6 | 0.952 |
| 10,000–20,000 SR | 69 | 26.7 | 60 | 25.6 | |
| > 20,000 SR | 14 | 5.4 | 15 | 6.4 | |
| Monthly income for father or mother or both | |||||
| 5000 SR | 79 | 30.5 | 60 | 25.1 | 0.425 |
| 5000–10,000 SR | 59 | 22.8 | 54 | 22.6 | |
| 10,000–20,000 SR | 77 | 29.7 | 73 | 30.5 | |
| > 20,000 SR | 44 | 17.0 | 52 | 21.8 | |