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Table 2 Prevalence of IGD

From: Bio-psychosocial factors of children and adolescents with internet gaming disorder: a systematic review

Author (year) N of participants Prevalence of IGD Diagnostic criteria Mean age of participants Country
Total Boys Girls
Wartberg et al. (2017) [24] 1095 2.4% DSM-5 13.0 (SD = 0.8) Germany
Yu et al. (2016) [25] 2024 5.9% 10.4% 1.2% DSM-5 14.5 (SD = 0.5) South Korea
King et al. (2016) [5] 824 3.1% 5.7% 0.7% DSM-5 14.1~14.5 (SD = 1.2~1.5) Australia
Pontes et al. (2016) [13] 1071 2.4% DSM-5 13.4 (SD = 0.6) Slovenia
Rehbein et al. (2015) [14] 11,003 1.2% 2.0% 0.3% DSM-5 14.9 (range = 13–18) Germany
Johansson et al. (2004) [26] 3237 2.7% 4.2% 1.1% Young Diagnostic Questionnaire 12~18 Norway
Strittmatter et al. (2015) [15] 8807 3.6% Young Diagnostic Questionnaire 15.0 (SD = 1.3) Estonia, Germany, Italy, Romania and Spain
Müller et al. (2015) [12] 112,938 1.6% 3.1% 0.3% Assessment of Internet and Computer game Addiction -Gaming Module 15.8 (SD = 0.7) Germany, Greece, Iceland, the Netherlands, Poland, Romania, and Spain
Vadlin et al. (2015) [30] 1814 1.3% *2.4% Gaming Addiction Identification Test and its parent version 13~15 Sweden
Kiraly et al. (2014) [28] 4875 4.3% 12-item Problematic Online Gaming Questionnaire Short-Form 16.4 (SD = 0.9) Hungary
Pápay et al. (2013) [27] 5045 4.6% 12-item Problematic Online Gaming Questionnaire Short-Form 16.4 (SD = 0.9) Hungary
Van Rooij et al. (2011) [29] 1572 3.6% Compulsive Internet Use Scale 14.4 (SD = 1.2) the Netherlands
  1. * rated by adolescents’ parents