Table 3. Predictors on internet addiction (N = 2749).
| IV | Dependent variable of internet addiction: AOR (95%CI)a or B (SE)b | ||||||
|---|---|---|---|---|---|---|---|
| IAT totala | Sal.b | EU b | NW b | Anti. b | LoC b | NSL b | |
| Age | 0.96(0.78,1.18) | 0.29(0.22) | 0.13(0.22) | -0.40(0.16) | -0.07(0.10) | -0.27(0.16) | -0.011(0.09)* |
| Gender | 0.94(0.78,1.14) | -0.58(0.21)** | -0.20(0.20) | -0.24(0.15) | 0.004(0.10) | 0.14(0.15) | -0.63(0.08) |
| Residence | 1.08(0.84,1.38) | 0.24(0.27) | 0.77(0.26)** | 0.34(0.19) | -0.06(0.12) | 0.33(0.19) | 0.02(0.11)* |
| Family | 0.89(0.73,1.08) | -0.57(0.22)** | -0.40(0.21)* | 0.03(0.15) | -0.25(0.10)* | -0.30(0.15) | -0.11(0.09) |
| University | 1.35(1.13,1.62) | 0.86(0.20)** | 0.66(0.19)* | 0.36(0.14) | 0.32(0.09)** | 0.24(0.14) | 0.36(0.08) |
| MBBS | 0.74(0.59,0.94) | -0.92(0.25)** | -0.29(0.24) | -0.86(0.18)** | -0.29(0.12)* | -0.72(0.18)** | -0.15(0.10) |
| Smoking | 0.73(0.54,0.97) | -0.42(0.33) | -10.12(0.32)* | 0.09(0.23) | -0.20(0.15) | -0.02(0.24) | -0.54(0.13) |
| Health status | 0.59(0.49,0.70) | -1.56(0.20)** | -1.76(0.19)** | -1.43(0.22)** | -0.56(0.09)** | -1.10(0.14) | -0.40(0.08) |
| Symptom | 1.00(0.64,1.54) | -0.31(0.48) | -0.61(0.46) | -0.08(0.34) | -0.44(0.22)* | -0.30(0.34) | 0.05(0.19)* |
| Diagnosis | 1.71(0.84,3.48) | 0.03(0.71) | 1.27(0.68) | -0.24(0.50) | -0.29(0.32) | -0.29(0.50) | 0.17(0.28)* |
| Live | 0.76(0.54,1.09) | -1.63(0.40)** | -0.75(0.38)* | -0.31(0.22) | -0.13(0.18) | -0.23(0.28) | -0.75(0.16) |
| Instruction | 1.15(0.89,1.50) | 0.21(0.29) | 0.10(0.28) | 0.33(0.20) | 0.13(0.13) | -0.16(0.21) | -0.01(0.12)* |
Note. IV = independent variable; PSQI = Pittsburgh Sleep Quality Index; SSQ = subjective sleep quality; SL = sleep latency; S.DUR = sleep duration; SE = sleep efficiency; S.DIST = sleep disturbance; UoSM = use of sleep medicine; D.DYS = daytime dysfunction; Sal. = salience; EU = excessive use; NW = neglect work; Anti. = anticipation; LoC = lack of control; NSL = neglect social life; Family = family system; University = university sector; MBBS = year of MBBS; Smoking = smoking history; Symptom = COVID-19-related symptom; Diagnosis = COVID-19 diagnosis; Live = live with COVID-19 infected individuals; Instruction = follow COVID-19 instructions.
Reference groups were: age (adolescents); gender (males); residence (rural); family system (joint); university sector (public); year of MBBS (junior); smoking history (yes); health status (poor); COVID-19 related symptoms (no); COVID-19 diagnosis (no); live with COVID-19 infected individuals (no); and follow COVID-19 instructions (no).
a Reported in adjusted odds ratio (AOR) with 95% confidence interval (CI) by logistic regression model.
b Reported in unstandardized coefficient with standard error (SE) by linear regression model.