Table 1.
Multivariate analysis of variables related to Internet addiction.
| Variables | B | SE | Wald | df | AOR (95% CI) |
|---|---|---|---|---|---|
| Gender (ref: Female) | |||||
| Male | -0.09 | 0.099 | 0.822 | 1 | 0.914 (0.752–1.110) |
| Age (ref: >40) | |||||
| 21–40 | 0.321 | 0.167 | 3.695 | 1 | 1.379 (0.994–1.914) |
| Age of First Internet Use (ref: >8) | |||||
| ≤ 8 | 0.384 | 0.258 | 2.216 | 1 | 1.468 (0.886–2.434) |
| COVID-19 confirmed/suspected cases within household? (ref: No) | |||||
| Yes | 0.47 | 0.191 | 6.029 | 1 | 1.600* (1.099–2.328) |
| Physical distancing (ref: No) | |||||
| Yes | 0.04 | 0.103 | 0.152 | 1 | 1.041 (0.850–1.275) |
| Perceived Internet Duration Change (ref: Unchanged) | |||||
| Increased | 0.512 | 0.134 | 14.582 | 1 | 1.669*** (1.283–2.171) |
| Decreased | 0.097 | 0.492 | 0.039 | 1 | 1.102 (0.420–2.891) |
| Duration of Internet use during COVID-19 (ref: 0–5 h) | |||||
| 6–10 | 0.17 | 0.13 | 1.701 | 1 | 1.185 (0.918–1.531) |
| ≥11 | 0.506 | 0.125 | 16.328 | 1 | 1.658*** (1.298–2.119) |
| Main Motives of Internet use (ref: Academic/occupational) | |||||
| Social Media | 0.411 | 0.109 | 14.248 | 1 | 1.508*** (1.218–1.866) |
| Online Gaming | 0.682 | 0.287 | 5.65 | 1 | 1.977* (1.127–3.469) |
| Blogging | -18.81 | 40192.97 | 0 | 1 | – |
| Information Seeking | 0.335 | 0.125 | 7.207 | 1 | 1.398** (1.095–1.785) |
| Online Shopping | -18.799 | 8814.669 | 0 | 1 | – |
| Entertainment | 0.484 | 0.18 | 7.187 | 1 | 1.622** (1.139–2.311) |
| Cyber-relation | 1.318 | 1.24 | 1.129 | 1 | 3.736 (0.329–42.451) |
| Pornography | 0.256 | 1.133 | 0.051 | 1 | 1.292 (0.140–11.904) |
| Number of social media used | |||||
| (ref: ≥ 4) | |||||
| 0–3 | -0.086 | 0.15 | 0.331 | 1 | 0.917 (0.684–1.230) |
| Social Media Apps used | |||||
| (ref: Do not use) | |||||
| -0.042 | 0.101 | 0.169 | 1 | 0.959 (0.786–1.170) | |
| -0.12 | 0.136 | 0.781 | 1 | 0.887 (0.680–1.157) | |
| 0.355 | 0.108 | 10.843 | 1 | 1.426*** (1.155–1.762) | |
| LINE | 0.239 | 0.115 | 4.273 | 1 | 1.270* (1.012–1.592) |
| -0.33 | 0.203 | 2.643 | 1 | 0.719 (0.483–1.070) | |
| TikTok | 0.017 | 0.151 | 0.013 | 1 | 1.018 (0.757–1.369) |
| 0.082 | 0.391 | 0.044 | 1 | 1.085 (0.504–2.335) | |
| Telegram | 0.129 | 0.108 | 1.435 | 1 | 1.138 (0.921–1.407) |
| Frequent Game Genres | |||||
| (ref: Do not play games) | |||||
| MMORPG | 0.277 | 0.274 | 1.022 | 1 | 1.319 (0.771–2.258) |
| MOBA | 0.456 | 0.131 | 12.057 | 1 | 1.578*** (1.220–2.042) |
| FPS | 0.919 | 0.709 | 1.679 | 1 | 2.507 (0.624–10.069) |
| Casual Games | 0.217 | 0.102 | 4.55 | 1 | 1.243* (1.018–1.517) |
| Constant | -2.978 | 0.35 | 72.319 | 1 | 0.051*** |
| -2LL | 3,545.79 | ||||
| Nagelkerke R2 | 0.067 | ||||
| Hosmer-Lemeshow | p = .618 | ||||
| Model χ2 = 175.037, df = 30, p <.001 | |||||
*p < .05; **p ≤ .01; ***p ≤ .001.