Table 2 Binary logistic regression analysis (adjusted and unadjusted) for prediction of risk factors for smartphone addiction
From: The impact of smartphone addiction on attention control and sleep in Egypt—an online survey
Characteristics | Nonaddict (n = 330) | Addict (n = 2386) | Unadjusted OR | Adjusted OR |
|---|---|---|---|---|
Age (mean ± SD) | 33.4 ± 12.7 | 31.1 ± 9.9 | 0.98 (0.97 ± 0.99)* | 0.97 (0.96–0.98)* |
Sex | ||||
Male | 78 (11.7%) | 588 (88.3%) | Reference | Reference |
Female | 252 (12.3%) | 1798 (87.7%) | 0.9 (0.7–1.2) | 0.87 (0.66–1.1) |
Education | ||||
Until preparatory | 15 (27.8%) | 39 (72.2%) | Reference | Reference |
Secondary | 47 (21.1%) | 176 (78.9%) | 1.4 (0.7–2.8) | 2 (0.99–4.1) |
University | 175 (11.1%) | 1408 (88.9%) | 3.1 (1.7–5.7)* | 4.5 (12.3–8.5)* |
Postgraduate | 93 (10.9%) | 763 (89.1%) | 3.2 (1.7–5.9)* | 5.3 (2.7–10.3)* |
Residence | ||||
Urban | 243 (11.5%) | 1873 (88.5%) | 1.3 (1.004–1.7)* | 1.5 (1.1–1.9)* |
Rural | 87 (14.5%) | 513 (85.5%) | Reference | Reference |