ArticleFrontiers in psychology2023
Predictive power of the DSM-5 criteria for internet use disorder: A CHAID decision-tree analysis.
Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Disrupted Sensory-Motor Network Integrity in Excessive Online Gaming: Insight From Multimodal Morphometric Mapping.Brain and behavior · 2026Article
- Relationship between attachment anxiety and attachment avoidance, mentalization ability, and various digital addictions: a cross-sectional study among university students.BMC psychiatry · 2026Article
- Association between mobile social networks usage and mental health and social behaviours in medical students in southern Iran.Scientific reports · 2025Article
- Salience and tolerance are not indicators of problematic social media use: Evidence from the Social Media Disorder Scale and the Bergen Social Media Addiction Scale.Journal of behavioral addictions · 2025Article
- Recommendations for Physical Exercise as a Strategy to Reduce Problematic Use of the Internet and Digital Devices: A Perspective.International journal of environmental research and public health · 2025Article
- Exploring the association between internet addiction and time management among undergraduate nursing students.BMC nursing · 2024Article
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6 authors.
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Abstract
Introduction: Although the majority of internet users enjoy the internet as a recreational activity, some individuals report problematic internet use behaviors causing negative psychosocial consequences. Therefore, it is important to have precise and valid diagnostic criteria to ensure suitable treatment for those affected and avoid over-pathologization. Methods: The aim of the present study was to determine which of the nine DSM-5 criteria of internet gaming disorder (IGD) are crucial in distinguish pathological from non-pathological internet use based on the questionnaire-based response behavior of the participants by applying the Chi-squared automatic interaction detection (CHAID) decision tree analysis. Under consideration of the nine DSM-5 criteria for IGD and according to the short-form scale to assess Internet Gaming Disorder (IGDS-SF9) the DSM-5 criteria were formulated as questions and applied to the broader concept of Internet Use Disorder (IUD). The nine questions were answered on a 5-point Likert scale from "never" to "very often." In accordance with the IGDS-SF9 participants were assigned to IUD-5plus if at least 5 of the 9 criteria were answered with "very often." The study was conducted in Germany ( Results: Although "loss of control," "continued overuse" and "mood regulation" were the most endorsed criteria, the analysis indicated that the criterion "jeopardizing" was found as the best predictor for IUD-5plus, followed by "loss of interest" and "continued overuse." Overall 64.9% of all participants who were in the IUD-5plus, could been identified by the fulfillment of the three criteria mentioned above. Discussion: The results found support for adjustment of the DSM-5 criteria of IGD in accordance to ICD-11. If the predictive power of the three criteria can be replicated in future representative studies, such a decision tree can be used as guidance for diagnostics to capture the particularly relevant criteria.
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