Estimated prevalence of gaming disorder based on ICD-11 and DSM-5 frameworks in a large and representative sample of young Swiss men.

Background: The International Classification of Diseases, 11th revision (ICD-11), and the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5), provide distinct frameworks to assess gaming disorder (GD). We aimed to compare GD prevalence estimates using both frameworks in a representative sample of Swiss males. A secondary objective was to examine the associations between GD, and depressive and anxiety symptoms, across both frameworks. Methods: This was a cross-sectional single-center study at a Swiss military recruitment center. Participants completed a survey assessing DSM-5 and ICD-11 GD criteria. GD was defined as meeting at least five DSM-5 or all three ICD-11 criteria. Depressive and anxiety symptoms were assessed with the two-item Patient Health Questionnaire and the two-item General Anxiety Disorder scale. Weekly gaming time was self-reported. Multivariable logistic regressions explored associations between GD and psychological correlates. Results: Among the 2,620 participants aged 19.6 ± 1.8 years old, the estimated GD prevalence was 3.83% (95% confidence interval [CI]: 3.13; 4.69) with DSM-5 criteria and 2.48% (95% CI: 1.92; 3.18) with ICD-11 criteria (p < 0.001). In the subsample of past-year gamers (n = 2,164), screening positive for major depressive disorder was associated with GD under both classifications. Screening positive for generalized anxiety disorder was associated with GD only under DSM-5 criteria. Conclusion: These findings support the assumption that the ICD-11 classification provides a more conservative estimated prevalence than the DSM-5. This study also highlights the differences between DSM-5 and ICD-11 frameworks in their associations with mental health correlates.

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Journal
Open Access CRIS of the University of Bern
Published
2026-05-28
DOI
https://doi.org/10.48620/98162
Primary Topic
Impact of Technology on Adolescents
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article
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article

Estimated prevalence of gaming disorder based on ICD-11 and DSM-5 frameworks in a large and representative sample of young Swiss men.

Julia de Ternay, Stéphanie Baggio, Joël Billieux, Olivier Simon
Open Access CRIS of the University of Bern
Impact of Technology on Adolescents
article

Estimated prevalence of gaming disorder based on ICD-11 and DSM-5 frameworks in a large and representative sample of young Swiss men.

Julia de Ternay, Stéphanie Baggio, Joël Billieux, Olivier Simon
article en

Abstract

Background: The International Classification of Diseases, 11th revision (ICD-11), and the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5), provide distinct frameworks to assess gaming disorder (GD). We aimed to compare GD prevalence estimates using both frameworks in a representative sample of Swiss males. A secondary objective was to examine the associations between GD, and depressive and anxiety symptoms, across both frameworks. Methods: This was a cross-sectional single-center study at a Swiss military recruitment center. Participants completed a survey assessing DSM-5 and ICD-11 GD criteria. GD was defined as meeting at least five DSM-5 or all three ICD-11 criteria. Depressive and anxiety symptoms were assessed with the two-item Patient Health Questionnaire and the two-item General Anxiety Disorder scale. Weekly gaming time was self-reported. Multivariable logistic regressions explored associations between GD and psychological correlates. Results: Among the 2,620 participants aged 19.6 ± 1.8 years old, the estimated GD prevalence was 3.83% (95% confidence interval [CI]: 3.13; 4.69) with DSM-5 criteria and 2.48% (95% CI: 1.92; 3.18) with ICD-11 criteria (p < 0.001). In the subsample of past-year gamers (n = 2,164), screening positive for major depressive disorder was associated with GD under both classifications. Screening positive for generalized anxiety disorder was associated with GD only under DSM-5 criteria. Conclusion: These findings support the assumption that the ICD-11 classification provides a more conservative estimated prevalence than the DSM-5. This study also highlights the differences between DSM-5 and ICD-11 frameworks in their associations with mental health correlates.

Open Access CRIS of the University of Bern
Primary Health Care (QA)
Openalex Percentile: Top 2%
Impact of Technology on Adolescents
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