ArticleJournal of clinical medicine2019
Clinical Characteristics of Diagnosis for Internet Gaming Disorder: Comparison of DSM-5 IGD and ICD-11 GD Diagnosis.
Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 3 of them syntheses that pooled it.
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Who cites it
83 citing papers in PubMed, 3 syntheses or guidelines pooled it, 204 citations in OpenAlex.
- Meta-Analysis of Internet Gaming Disorder Prevalence: Assessing the Impacts of DSM-5 and ICD-11 Diagnostic Criteria.International journal of environmental research and public health · 2024Pooled it
- Prevalence of internet addiction in Africa: A systematic review and meta-analysis.Journal of behavioral addictions · 2022Pooled it
- Psychometric Properties of the Internet Gaming Disorder Scale-Short-Form (IGDS9-SF): Systematic Review.Journal of medical Internet research · 2021Pooled it
- Evaluation of a multicomponent positive psychology program to prevent gaming disorder and enhance mental wellness in primary pupils: A randomized controlled trial.Journal of behavioral addictions · 2024Trial
- Motivational brief interventions for adolescents and young adults with Internet use disorders: A randomized-controlled trial.Journal of behavioral addictions · 2022Trial
- Social Media Usage and Its Association With the Social Media Addiction Questionnaire Scale Among Early Adolescents.JAACAP open · 2026Article
- Network diffusion modeling predicts spatiotemporal gray matter alterations in internet gaming disorder.Psychological medicine · 2026Article
- Associations Between Parental Gaming Behaviors and Conversion From Internet Gaming Disorder Noncases to Cases Among Adolescents: Prospective Longitudinal Cohort Study.JMIR serious games · 2026Article
- Conceptualization and Measurement of Withdrawal Symptoms in Gaming Disorder and Development and Psychometric Validation of the Gaming Withdrawal Symptoms Questionnaire: Cross-Sectional Study.JMIR serious games · 2026Article
- Prevalence and factors of behavioral intention of gaming time reduction among high-risk adolescents in China: an application of the Conservation of Resource Theory.BMC psychiatry · 2026Article
- Longitudinal relationships among physical activity, internet gaming disorder, and insomnia: a cross-lagged panel analysis.Frontiers in psychiatry · 2026Article
- Effects of Progressive Aerobic Training on Executive-Reward Network Connectivity and Symptoms of Internet Gaming Disorder: Randomized Controlled Trial.JMIR serious games · 2025Article
- Emotional Dysregulation-Mediated Associations Between Guilt Proneness, Shame Proneness, and Internet Gaming Disorder Among Chinese University Students: Cross-Sectional Survey.Journal of medical Internet research · 2025Article
- Sleep Quality as a Mediator of Internet Gaming Disorder and Executive Dysfunction in Adolescents: Cross-Sectional Questionnaire Study.Journal of medical Internet research · 2025Article
- Novel rat model of gaming disorder: assessment of social reward and sex differences in behavior and c-Fos brain activity.Psychopharmacology · 2025Article
- Unraveling the Complexity of Internet Addiction: A Multi-Faceted Perspective from Five Key Studies.Journal of clinical medicine · 2025Article
- Effectiveness of Therapeutic Interventions in the Treatment of Internet Gaming Disorder: A Systematic Review.European journal of investigation in health, psychology and education · 2025Review
- Structural Validity of the Diagnostic Interview for Internet Addiction Scale for Clinical Samples in Korean Children and Adolescents: Exploratory and Confirmatory Factor Analysis.Psychiatry investigation · 2025Article
- School Climate and School Identification as Determinants of Internet Gaming Disorder Among Chinese Adolescent Internet Gamers: Cross-Sectional Mediation Study.JMIR serious games · 2024Article
- The Prevalence and Correlates of Internet Addiction in India as Assessed by Young's Internet Addiction Test: A Systematic Review and Meta-analysis.Indian journal of psychological medicine · 2024Review
23 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The American Psychiatric Association (APA) included internet game disorder (IGD) in section III of the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (DSM-5) on the condition that it guaranteed more clinical research and experience. The World Health Organization (WHO) also included Game Disorder (GD) in the 11th final revision of the International Classification of Diseases (ICD-11) and recently recognized it as a diagnosis code. This study aims to compare clinical characteristics and gaming behavior patterns between the IGD diagnosis criteria proposed by the DSM-5 and the GD diagnosis criteria proposed by the ICD-11 based on clinical cohort data (c-CURE: clinic-Cohort for Understanding of internet addiction Rescue factors in Early life) obtained in the Republic of Korea. Psychologists and psychiatrists conducted semi-structured interviews with children/adolescents and their caregivers to identify IGD (Diagnostic Interview for Internet, Game, SNS, etc. Addiction, DIA), and comorbid psychiatric disorders (Kiddie-Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version-Korean version, K-SADS-PL). The cohort was divided into three IGD diagnosis groups (Normal, DSM5, DSM5 + ICD11) based on DSM-5 and ICD-11 diagnosis criteria. Internet usage pattern and addiction characteristics and psychiatric comorbidities were compared among the three IGD diagnosis groups. The Normal group consisted of 115 subjects, the DSM5 group contained 61 subjects, and the DSM5 + ICD11 group amounted to 12 subjects. The DSM5 + ICD11 group had a lower age of starting use of Internet/games/smartphones than other groups and the average time of Internet/game/smartphone use during weekdays/weekends was the highest. Also, in the eight items scored, excluding 'deceiving' and 'craving', the rate of threshold was highest in the DSM5 + ICD11 group, followed by the DSM5 group and the Normal group. On the other hand, 'deceiving' and 'craving' were the highest in DSM5, followed by DSM5 + ICD11 and Normal. The DSM5 + ICD11 group had significantly higher rates of depressive disorder, oppositional defiant disorder (ODD) and conduct disorder (CD) compared to other groups. This study provides implications for the clinical characteristics of IGD diagnosis in the field by comparing the DSM-5 IGD diagnosis criteria with the ICD-11 GD diagnosis criteria. Furthermore, this study provides empirical evidence that ICD-11 GD emphasizes serious symptoms such as functional impairment caused by excessive Internet/game/smartphone use over a long time, and it supports the validity of the ICD-11 GD diagnosis.
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