Table 2 Impacts of adolescent personal factors on adolescent internet addiction by logistic regression analysis a,b
Risk Factors | Coefficient (Standard Error) | Odds Ratio | 95%Confidence Interval | p-value |
|---|---|---|---|---|
Gender | ||||
 Female (ref.) | 1.0 | 1.0 |  |  |
 Male | 0.26(0.12) | 1.29 | 1.02-1.64 | 0.0361 |
Adolescent monthly money spending levels (RMB / month) | ||||
 <100 (ref.) | 1.0 | 1.0 |  |  |
 ≥300 | 0.41(0.16) | 1.51 | 1.11-2.05 | 0.0092 |
 100~299 | 0.51(0.13) | 1.66 | 1.29-2.14 | <0.0001 |
Academic achievements | ||||
 Very good (ref.) | 1.0 | 1.0 |  |  |
 Very & relatively bad | 1.57(0.33) | 4.79 | 2.51-9.13 | <0.0001 |
 General | 0.87(0.31) | 2.38 | 1.29-4.41 | 0.0057 |
 Relative good | 0.52(0.33) | 1.68 | 0.88-3.20 | 0.1186 |
Total hours online for a whole week (hours /month) | ||||
 <7 (ref.) | 1.0 | 1.0 |  |  |
 >28 | 1.45(0.17) | 4.28 | 3.06-5.99 | <0.0001 |
 21 ~28 | 1.23(0.21) | 3.41 | 2.26-5.15 | <0.0001 |
 14 ~21 | 0.96(0.19) | 2.61 | 1.81-3.77 | <0.0001 |
 7~14 | 0.89(0.15) | 2.44 | 1.81-3.29 | <0.0001 |
Main Purpose of using internet | ||||
 Academic learning (ref.) | 1.0 | 1.0 |  |  |
 Playing game | 1.94(0.34) | 6.98 | 3.59-13.58 | <.0.0001 |
 Real-time chatting | 0.97(0.36) | 2.64 | 1.30-5.38 | 0.0073 |
 Browsing news or e-mails only | 0.17(0.40) | 1.19 | 0.55-2.60 | 0.6625 |