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. Author manuscript; available in PMC: 2015 Dec 16.
Published in final edited form as: J Psychiatr Res. 2014 Jul 16;58:63–68. doi: 10.1016/j.jpsychires.2014.07.007

Table 1.

Demographic data.

PGA (73) Healthy controls (38) Statistics, post hoc
Age 20.6 ± 5.1 22.0 ± 5.2 t = 1.3, p = 0.18
Sex (male/female) 68/5 35/3 χ2 = 0.04, p = 0.84
Education (years) 13.6 ± 5.1 15.0 ± 5.2 t = 1.4, p = 0.18
IQ 104.9 ± 13.0 103.8 ± 11.8 t = 0.39, p = 0.76
YIAS 59.1 ± 6.8 33.8 ± 9.4 t = 16.1, p < 0.01*
Game time (hours/week) 40.5 ± 6.3 1.5 ± 2.6 t = 36.3, p < 0.01*
BDI 11.9 ± 9.3 6.8 ± 5.3 t = 3.1, p < 0.01*
K-ARS 8.9 ± 5.9 8.8 ± 5.3 t = 0.11, p = 0.90
BAI 6.7 ± 6.9 4.5 ± 4.6 t = 1.5, p = 0.14
WCST
 PR 15.5 ± 8.6 11.4 ± 4.4 F = 2.8, p < 0.01*
 PE 10.5 ± 5.8 7.7 ± 2.6 F = 2.8, p < 0.01*

PGA: patients with on-line game addiction, BDI: Beck Depression Inventory, BAI: Beck Anxiety Inventory, K-ARS: Dupaul’s ADHD scale-Korean version, WCST: Wis-consin Card Sorting Test, PR: perseverative response, PE: perseverative error.

*

Statistically significant.