Exploring different technology addiction types in young adults: a latent profile analysis

ArticleAçık Erişim

Özet

This study aimed to examine the different latent profiles of technology addiction in young adults, and the criteria for belonging to these profiles, in relation to sociodemographic factors (gender and SES) and technology use status (daily social network usage time, daily instant messaging usage time, daily online gaming usage time, daily website usage time, and connection location). Data were collected from a sample of 1,431 young adults [988 (69.1%) female, 443 (30.9%) male]. Latent Profile Analysis (LPA) was used to identify the latent profiles, and Multinomial Regression Analysis was employed to examine the relationships between the latent profiles and sociodemographic and technology use. The LPA revealed four latent profiles of technology addiction in young adults: “Non-Addicts (NA)”, “Moderate Technology Addicts-Gamers (MTAG)”, “High Technology Addicts-Non-Gamers (HTANG)”, and “High Technology Addicts-Gamers (HTAG)”. The criteria for belonging to these four profiles were statistically significantly related to sociodemographic and technology use factors, except for connection location, and age. These findings provided further support for our knowledge about planning programs or multi-layered intervention models to prevent technology addiction in young adults. © The Author(s) 2024.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/11303Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1007/s12144-024-06372-zYayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorAğirkan, Murat
dc.contributor.authorHaspolat, Namık Kemal
dc.contributor.authorÇelik, Oğuzhan
dc.date.accessioned2026-10-18T20:26:22.485059910Z
dc.date.available2026-10-18T20:26:22.485059910Z
dc.date.issued2024
dc.description.abstractThis study aimed to examine the different latent profiles of technology addiction in young adults, and the criteria for belonging to these profiles, in relation to sociodemographic factors (gender and SES) and technology use status (daily social network usage time, daily instant messaging usage time, daily online gaming usage time, daily website usage time, and connection location). Data were collected from a sample of 1,431 young adults [988 (69.1%) female, 443 (30.9%) male]. Latent Profile Analysis (LPA) was used to identify the latent profiles, and Multinomial Regression Analysis was employed to examine the relationships between the latent profiles and sociodemographic and technology use. The LPA revealed four latent profiles of technology addiction in young adults: “Non-Addicts (NA)”, “Moderate Technology Addicts-Gamers (MTAG)”, “High Technology Addicts-Non-Gamers (HTANG)”, and “High Technology Addicts-Gamers (HTAG)”. The criteria for belonging to these four profiles were statistically significantly related to sociodemographic and technology use factors, except for connection location, and age. These findings provided further support for our knowledge about planning programs or multi-layered intervention models to prevent technology addiction in young adults. © The Author(s) 2024.
dc.description.sponsorshipOpen access funding provided by the Scientific and Technological Research Council of T\u00FCrkiye (T\u00DCB\u0130TAK). The authors declare that the current study was not financially supported by any institution or organization.
dc.identifier.doi10.1007/s12144-024-06372-z
dc.identifier.eissn1936-4733
dc.identifier.endpage27238
dc.identifier.issn1046-1310
dc.identifier.issue33
dc.identifier.scopus2-s2.0-85200568259
dc.identifier.startpage27225
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/11303
dc.identifier.volume43
dc.identifier.wosWOS:001284774900004
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofCurrent Psychology
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectLatent profile analysis
dc.subjectTechnology addiction
dc.subjectYoung adult
dc.titleExploring different technology addiction types in young adults: a latent profile analysis
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus3
rdl.citation.wos5
rdl.oa.statusgold
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexSocial Science Citation Index (SSCI)