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. 2022 Sep 7;55(2):497–509. doi: 10.1007/s10578-022-01408-6

Table 1.

Demographics and descriptive findings of the CIUS and AICA

Total sample (N = 104) Girls (n = 69) Boys (n = 35) Testa Effect size
Demographics
 Age 15.60 (1.16) 15.52 (1.18) 15.74 (1.12) 0.92, p = .322
 Foreign nationality 15 (14.4%) 9 (13.0%) 6 (17.1%) 0.32, p = .574
CIUS
 CIUS Score (m, SD) 21.45 (10.00) 20.88 (10.00) 22.57 (10.05) 0.81, p = .419
 CIUS Subthreshold PIU (or PIU, CIUS ≥ 21; n, %) 56 (53.8%) 36 (52.2%) 20 (57.1%) 0.23, p = .631
 CIUS PIU (CIUS ≥ 28; n, %) 29 (27.9%) 18 (26.1%) 11 (31.4%) 0.33, p = .566
AICA
 AICA Score (m, SD) 14.13 (8.13) 13.12 (7.77) 16.11 (8.57) 1.80, p = .075
 AICA mild PIU (or moderate/severe, AICA ≥ 13; n, %) 52 (50.0%) 31 (44.9%) 21 (60.0%) 2.11, p = .146
 AICA moderate/severe PIU (AICA ≥ 19; n, %) 29 (27.9%) 15 (21.7%) 14 (40.0%) 3.85, p = .050
Subthreshold PIU (CIUS ≥ 21 or AICA ≥ 13, n, %) 65 (62.5%) 43 (62.3%) 22 (62.9%) .003, p = .957
Full PIU (CIUS ≥ 28 or AICA ≥ 19, n, %) 36 (34.6%) 21 (30.4%) 15 (42.9%) 1.58, p = .208

Statistically significant results are given in bold

aIndependent sample t-test for continuous measures and Χ2-test for categorical measures

m mean, SD standard deviation, CIUS Compulsive internet use scale, PIU Problematic internet use, AICA Assessment of internet and computer game addiction