Table 1.
Demographic and psychological data.
| Student Pro-Gamers | IGD Adolescents | Statistics | ||
|---|---|---|---|---|
| Age (years) | 17.1 ± 0.3 | 16.5 ± 1.2 | z = 1.07, p = 0.28 | |
| Education (years) | 11.1 ± 0.3 | 9.7 ± 2.7 | z = 1.63, p = 0.10 | |
| IQ | 86.8 ± 6.3 | 90.4 ± 10.3 | z = −1.29, p = 0.19 | |
| YIAS | B | 56.3 ± 7.5 | 65.3 ± 7.5 | z = −2.24, p = 0.02 * |
| F | 55.8 ± 13.0 | 61.4 ± 11.0 | z = −1.46, p = 0.14 | |
| Game time (hours/day) | B | 6.7 ± 1.4 | 7.0 ± 1.7 | z = −0.24, p = 0.81 |
| F | 7.2 ± 1.2 | 6.7 ± 2.0 | z = 1.19, p = 0.23 | |
| CDI | B | 7.8 ± 4.7 | 11.4 ± 5.6 | z = −1.73, p = 0.08 |
| F | 5.4 ± 3.9 | 12.2 ± 6.0 | z = −3.10, p < 0.01 * | |
| BAI | B | 6.4 ± 2.9 | 7.9 ± 3.7 | z = −1.07, p = 0.28 |
| F | 6.2 ± 2.0 | 7.8 ± 3.3 | z = −1.21, p = 0.81 | |
| K-ARS | B | 12.5 ± 5.5 | 12.9 ± 5.8 | z = −0.29, p = 0.22 |
| F | 13.1 ± 3.8 | 12.7 ± 6.5 | z = 0.22, p = 0.83 | |
| CBCL-T | B | 47.1 ± 6.8 | 54.4 ± 13.9 | z = −1.43, p = 0.15 |
| F | 33.4 ± 8.9 | 52.5 ± 10.9 | z = −3.53, p < 0.01 * | |
| CBCL-E | B | 47.4 ± 3.9 | 52.7 ± 11.3 | z = −1.82, p = 0.07 |
| F | 30.5 ± 7.8 | 51.6 ± 12.2 | z = −3.81, p < 0.01 * | |
| CBCL-I | B | 43.6 ± 8.6 | 54.1 ± 14.4 | z = −2.37, p = 0.02 * |
| F | 31.2 ± 7.6 | 52.4 ± 12.9 | z = −3.93, p < 0.01 * | |
Notes: IGD adolescents: adolescents with internet gaming disorder (IGD), B: baseline, F: follow up; Young Internet Addiction Scale (YIAS), Child Behavior Checklist (CBCL), CBCL-T: total, CBCL-E: externalizing, CBCL-I: internalizing; Children’s Depressive Inventory (CDI), Beck Anxiety Inventory (BAI), Korean ADHD Rating Scale (K-ARS). * Statistically significant.