Table 1.
Demographic and clinical data of the participants
| IGD | Casual | Statistical analysis | |||
| (n = 20) | (n = 23) | t (f) or Χ2 | P | d | |
| Sex | 17 | 3a | 21 | 2a | 0.414 (41) | 0.520 | −0.19 |
| Education | 16 | 4b | 16 | 7b | 0.612 (41) | 0.434 | −0.24 |
| Age | 24.5 ± 3.2 | 24.2 ± 3.2 | 0.336 (41) | 0.738 | 0.10 |
| Gaming (h/session) | 3.1 ± 1.1 | 2.1 ± 0.8 | 3.382 (41) | 0.002 | 1.03 |
| Gaming (h/week) | 18.6 ± 10.7 | 13.2 ± 8.7 | 1.842 (41) | 0.073 | 0.56 |
| Sports (h/week) | 4.9 ± 3.9 | 4.4 ± 3.5 | 0.490 (41) | 0.627 | 0.15 |
| Car (h/week) | 2.1 ± 4.8 | 1.4 ± 2.3 | 0.629 (41) | 0.533 | 0.19 |
| ZST | 42.4 ± 5.3 | 43.3 ± 6.5 | −0.524 (41) | 0.603 | −0.16 |
| BIS (total score) | 32.3 ± 6.3 | 29.2 ± 4.6 | 1.825 (41) | 0.075 | 0.56 |
| CAARS (ADHS-DSM) | 58.7 ± 11.9 | 48.2 ± 4.8 | 3.642# (24.351) | <0.001 | 1.17 |
| BSI (GSI) | 53.6 ± 9.4 | 42.3 ± 9.7 | 3.864 (41) | <0.001 | 1.18 |
| IAT | 33.2 ± 7.4 | 21.8 ± 4.7 | 5.902# (31.152) | <0.001 | 1.86 |
Note: a = male | female; b = A-Levels | University degree; # = Welch’s correction.; P-values < 0.05 are highlighted bold.