Table 4 The relationship between gaming disorder (IGD) and behavioral disorder (BD) with demographic and organizational characteristics
Variable | Boys (N = 316) | IGD | BD | Girls (N = 341) | IGD | BD |
|---|---|---|---|---|---|---|
Age (in years) | ||||||
M (SD) | 11.72 (0.815) | R = 0.32, p = 0.43 | R = 0.2, p = 0.21 | 11.71 (0.803) | R = 0.28, p = 0.53 | R = 0.32, p = 0.76 |
Playing duration (minute a day) | 103.35 (91.59) | R = 0.75, p = 0.06 | – | 85.85 (76.56) | R = 0.43, p = 0.34 | – |
M(SD) Range | 5–600 | – | 5–540 | – | ||
Game type N(%) | ||||||
Online game | 12(3.8%) | F = 2.76*, p = 0.01 df = 6 | F = 1.82 p = 0.093 Df = 6 | 10(2.9) | F = 6.07**, p < 0.01 Df = 7 | F = 2.06 p = 0.04 Df = 5 |
Animal/food/fashion | 0 (0%) | 104 (30.6%) | ||||
Sport | 66 (21%) | 9 (2.6) | ||||
Strategy | 33 (10.5%) | 7 (2.1) | ||||
Battle | 43 (13.7%) | 9 (2.6) | ||||
Puzzle | 25 (7.9) | 104 (30.6) | ||||
Driving | 17 (5.4) | 7 (2.1) | ||||
More than three game items | 119 (37.8%) | 90 (26.5) | ||||
Family income status N (%) | ||||||
Income more than expense | 19 (8.3) | R = 0.41, p = 0.34 | R = 0.31 p = 0.21 | 31 (11.3) | R = 0.32, p = 0.76 | R = 0.12 p = 0.23 |
Income equal to expense | 132 (60.4) | 172 (62.8) | ||||
Income less than expense | 79 (31.3) | 71 (25.9) |