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Ontological Diversity in Gaming Disorder Measurement: A Nationally Representative Registered Reportuse asterix (*) to get italics
Veli-Matti Karhulahti, Jukka Vahlo, Marcel Martončik, Matti Munukka, Raine Koskimaa, Mikaela von BonsdorffPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"
<p>Gaming-related health problems have been researched since the 1980s with numerous different “ontologies” as reference systems, from self-assessed “game addiction” to “pathological gambling” (in the DSM-IV), “internet gaming disorder” (in the 3rd section of the DSM-5) and most recently “gaming disorder” (in the ICD-11). Our goal was to investigate how screening instruments that derive from different ontologies differ in identifying associated problem groups. By using four central screening instruments, each representing a different ontological basis, we hypothesized differences and similarities in prevalence, overlap, and health. A nationally representative (N=8217) sample of Finnish participants was collected. The validated screening instruments produced significantly different prevalence rates (from 0.4% to 6.9%) and the binomial probabilities of group overlap ranged from poor (0.419) to good (0.919). Expectedly, the problem groups had lower mental health than the general population, yet exploratory analyses implied equivalent or significantly higherphysical health. We also found strong exploratory evidence for mischievous responding to complicate the measurement of gaming problems. Considering that several major differences were confirmed between the four gaming problem constructs, we recommend researchers to clearly define their construct of interest, i.e., whether they are studying the ICD-11 based official mental disorder, the DSM-5 proposed “internet gaming disorder,” or other gaming problems—especially in future meta-analyses.</p>
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gaming disorder, measurement, ontology
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Medical Sciences, Social sciences
No need for them to be recommenders of PCI Registered Reports. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct
e.g. John Doe []
2022-05-23 16:14:04
Charlotte Pennington