ArticleFrontiers in psychiatry2022
Gaming Disorder Symptom Questionnaire: The Development and Validation of a Screening Tool for ICD-11 Gaming Disorder in Adolescents.
Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 17 citations in OpenAlex.
- Cognitive Diagnosis Computerized Adaptive Testing (CD-CAT) for Adolescent Internet Gaming Disorder: A Conceptual Assessment Framework.Behavioral sciences (Basel, Switzerland) · 2026Review
- Burden of gaming disorder among adolescents: A systemic review and meta-analysis.Public health in practice (Oxford, England) · 2025Review
- Psychometric Validation of the Gaming Disorder Scale for Adolescents (GADIS-A) in Dutch Among Flemish Adolescents.Psychologica Belgica · 2025Article
- Development and validation of screening tool for excessive and problematic use of internet and digital devices (STEPS-IDD) based on the WHO framework (ICD-11) for addictive behaviours.Frontiers in digital health · 2025Article
- The Gaming Disorder Identification Test (GADIT) - A screening tool for Gaming Disorder based on ICD-11.Journal of behavioral addictions · 2024Article
- Network analysis of additional clinical features of (Internet) gaming disorder.International journal of methods in psychiatric research · 2024Article
- The prevalence and possible risk factors of gaming disorder among adolescents in China.BMC psychiatry · 2024Article
- The latent profile analysis of Chinese adolescents' gaming disorder: examination and validation.BMC psychiatry · 2023Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Gaming disorder (GD) has been recognized as an official diagnostic entity in the latest revision of the International Classification of Diseases (ICD-11). However, the majority of previous studies used different instruments, which are not fully consistent with the concept of GD in ICD-11. The development of a screening assessment instrument based on ICD-11 for this new disease entity is very urgent and important. Methods: The ICD-11 Gaming Disorder Symptom Questionnaire (GDSQ), based on the ICD-11 diagnostic guidelines for GD, was developed by a team of GD experts. A total of 7,790 adolescents were included in this study. Criterion validity was assessed by GDSQ, Video Gaming Dependency Scale (VGDS), weekly game playing time, weekly game video viewing time, and monthly money spent on games. Item structure was measured by factorial analysis. Discrimination between GD and non-GD was examined based on the receiver characteristic curve (ROC). Results: The GDSQ was very well described by three symptoms of GD (i.e., impaired control, increasing priority to gaming, and continued use despite the occurrence of negative consequences). The internal consistency was excellent (Cronbach's α = 0.964) with good criterion validity and good discriminatory power. The optimal cutoff point for determining the profile of gamers was found to be ≥62 points. The GDSQ revealed that the prevalence of GD was 2.27% in this adolescent sample. Conclusion: The ICD-11-based GDSQ is a successfully validated measurement scale for GD among adolescents. This study provides a new tool (GDSQ) for us to effectively identify individuals with risk of GD in medical and non-medical settings.
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