A1 Journal article (refereed)
Ontological diversity in gaming disorder measurement : a nationally representative registered report (2023)


Karhulahti, V.-M., Vahlo, J., Martončik, M., Munukka, M., Koskimaa, R., & von Bonsdorff, M. (2023). Ontological diversity in gaming disorder measurement : a nationally representative registered report. Addiction Research and Theory, 31(3), 157-167. https://doi.org/10.1080/16066359.2022.2115033


JYU authors or editors


Publication details

All authors or editorsKarhulahti, Veli-Matti; Vahlo, Jukka; Martončik, Marcel; Munukka, Matti; Koskimaa, Raine; von Bonsdorff, Mikaela

Journal or seriesAddiction Research and Theory

ISSN1606-6359

eISSN1476-7392

Publication year2023

Publication date05/09/2022

Volume31

Issue number3

Pages range157-167

PublisherTaylor & Francis

Publication countryUnited Kingdom

Publication languageEnglish

DOIhttps://doi.org/10.1080/16066359.2022.2115033

Research data linkhttps://osf.io/v4cqd/

Publication open accessOpenly available

Publication channel open accessPartially open access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/85465

Additional informationRegistered Report. This paper has been peer reviewed at PCI RR: https://rr.peercommunityin.org/articles/rec?id=209


Abstract

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 Diagnostic and Statistical Manual of Mental Disorders [DSM]-IV), ‘internet gaming disorder’ (in the third section of the DSM-5) and most recently ‘gaming disorder’ (in the International Classification of Diseases [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 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 higher physical 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.


Keywordsaddictionplaying (games and sports)problem gamblingcompulsive gamblingmental disordersprevalence of a conditionmedical screening

Free keywordsBehavioral addiction; prevalence; technology use


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Ministry reportingYes

Reporting Year2022

JUFO rating1


Last updated on 2024-18-02 at 17:07