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dc.contributor.authorKarhulahti, Veli-Matti
dc.contributor.authorVahlo, Jukka
dc.contributor.authorMartončik, Marcel
dc.contributor.authorMunukka, Matti
dc.contributor.authorKoskimaa, Raine
dc.contributor.authorvon Bonsdorff, Mikaela
dc.date.accessioned2023-02-15T06:31:24Z
dc.date.available2023-02-15T06:31:24Z
dc.date.issued2023
dc.identifier.citationKarhulahti, 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. <i>Addiction Research and Theory</i>, <i>31</i>(3), 157-167. <a href="https://doi.org/10.1080/16066359.2022.2115033" target="_blank">https://doi.org/10.1080/16066359.2022.2115033</a>
dc.identifier.otherCONVID_155877086
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/85465
dc.description.abstractGaming-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.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherTaylor & Francis
dc.relation.ispartofseriesAddiction Research and Theory
dc.rightsCC BY 4.0
dc.subject.otherBehavioral addiction
dc.subject.otherprevalence
dc.subject.othertechnology use
dc.titleOntological diversity in gaming disorder measurement : a nationally representative registered report
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202302151753
dc.contributor.laitosMusiikin, taiteen ja kulttuurin tutkimuksen laitosfi
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosDepartment of Music, Art and Culture Studiesen
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.contributor.oppiaineGerontologia ja kansanterveysfi
dc.contributor.oppiaineGerontology and Public Healthen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange157-167
dc.relation.issn1606-6359
dc.relation.numberinseries3
dc.relation.volume31
dc.type.versionpublishedVersion
dc.rights.copyright© 2022 the Authors
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber101042052
dc.relation.grantnumber101042052
dc.relation.grantnumber312397
dc.relation.grantnumber200349
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/101042052/EU//ORE
dc.subject.ysomielenterveyshäiriöt
dc.subject.ysopelaaminen
dc.subject.ysoseulontatutkimus
dc.subject.ysosairastavuus
dc.subject.ysoongelmapelaaminen
dc.subject.ysopelihimo
dc.subject.ysoriippuvuus
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p990
jyx.subject.urihttp://www.yso.fi/onto/yso/p14483
jyx.subject.urihttp://www.yso.fi/onto/yso/p14972
jyx.subject.urihttp://www.yso.fi/onto/yso/p3556
jyx.subject.urihttp://www.yso.fi/onto/yso/p25449
jyx.subject.urihttp://www.yso.fi/onto/yso/p20290
jyx.subject.urihttp://www.yso.fi/onto/yso/p9414
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.datasethttps://osf.io/v4cqd/
dc.relation.doi10.1080/16066359.2022.2115033
dc.relation.funderEuropean Commissionen
dc.relation.funderResearch Council of Finlanden
dc.relation.funderFinnish Work Environment Funden
dc.relation.funderEuroopan komissiofi
dc.relation.funderSuomen Akatemiafi
dc.relation.funderTyösuojelurahastofi
jyx.fundingprogramERC Starting Grant, HEen
jyx.fundingprogramCentre of Excellence, AoFen
jyx.fundingprogramOthersen
jyx.fundingprogramERC Starting Grant, HEfi
jyx.fundingprogramHuippuyksikkörahoitus, SAfi
jyx.fundingprogramMuutfi
jyx.fundinginformationThe work was supported by the Finnish Work Environment Fund (200349), Academy of Finland (312397), and the Slovak Research and Development Agency under the Contract no. APVV-18-0140. At Stage 2, this project also received funding from the European Research Council (ERC) under the European Union’s Horizon Europe research and innovation programme (grant agreement No 101042052).
dc.type.okmA1


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