Table 2 Prevalence of IGD
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 |