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Internet Gaming Disorder (IGD) has been included in the DSM-5 as a diagnosis for further study, and Gaming Disorder as a new diagnosis in the ICD-11. Nonetheless, little is known about the clinical prevalence of IGD in children and adolescents. Additionally, it is unclear if patients with IGD are already identified in routine psychotherapy, using the ICD-10 diagnosis F 63.8 (recommended classification of IGD in ICD-10). This study investigated N = 358 children and adolescents (self and parental rating) of an outpatient psychotherapy centre in Germany using the Video Game Dependency Scale. According to self-report 4.0% of the 11- to 17-year-old patients met criteria for a tentative IGD diagnosis and 14.0% according to the parental report. Of the 5- to 10-year-old patients, 4.1% were diagnosed with tentative IGD according to parental report. Patients meeting IGD criteria were most frequently diagnosed with hyperkinetic disorders, followed by anxiety disorders, F 63.8, conduct disorders, mood disorders and obsessive-compulsive disorders (descending order) as primary clinical diagnoses. Consequently, this study indicates that a significant amount of the clinical population presents IGD. Meaning, appropriate diagnostics should be included in routine psychological diagnostics in order to avoid “hidden” cases of IGD in the future.
Objective: The problematic use of computer games was included in the DSM-5 and in the ICD-11. Initial research revealed associa- tions between problematic gaming (PG) and quality of life (QoL). However, clarification is needed concerning which dimensions of the multidi- mensional construct QoL are particularly relevant for PG. Method: To answer this question empirically, we asked 503 parents (mean age: 47.63 years) to rate their 503 children (average age: 14.60 years) regarding QoL and PG, using validated questionnaires on parental assessments of adolescent PG and health-related QoL to collect the data. Correlation analyses were calculated to determine bivariate relations, and a multiple linear regression was used to conduct a multivariable analysis. Results: In the bivariate analyses, a higher severity of PG was associated with a lower health-related QoL in all five surveyed dimensions. In the multivariable model (corrected R2 = 0.35), we observed statistically significant associations between higher severity of PG and male sex and lower age of the adolescent as well as lower QoL in the dimensions of physical well-being and school environment. Conclusions: According to the findings of the present study, physical well-being and school environment should be especially focused on in preventive approaches against the development of PG in youth.