Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/76248
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dc.contributor.authorPhayam Kandeeen_US
dc.contributor.authorDarawan Thapintaen_US
dc.contributor.authorSombat Skulphanen_US
dc.contributor.authorPetsunee Thungjaroenkulen_US
dc.date.accessioned2022-10-16T07:07:31Z-
dc.date.available2022-10-16T07:07:31Z-
dc.date.issued2022-10-01en_US
dc.identifier.issn19068107en_US
dc.identifier.other2-s2.0-85137868689en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85137868689&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/76248-
dc.description.abstractSocial media addiction is an important mental health concern with steadily increasing prevalence in young people along with physical, psychological, and academic issues. To reduce social media addiction, an understanding about its influencing factors is required. This cross-sectional study aimed to develop and test a model of factors influencing social media addiction in university students. Multi-stage sampling was used to obtain 550 undergraduate students from five faculties of a public university in Thailand. Data were collected using a demographic data form, the Bergen Social Media Addiction Scale, the Internet Self-efficacy Scale, the Internet Use Expectancies Scale, the Self-regulation Scale, the Center for Epidemiologic Studies Depression Scale, a neuroticism subscale and an extraversion subscale of the Neuroticism Extraversion Openness to experience Five-Factor Inventory, the Multi-Dimensional Scale of Perceived Social Support, and the Subjective Norm Scale. SPSS version 26.0 and the AMOS program were applied for model testing. Findings revealed that the modified model fitted with empirical data and explained 86% of variance in social media addiction. Depression was the strongest predictor influencing social media addiction both directly and indirectly via Internet use expectancies and self-regulation. Subjective norm directly and indirectly influenced social media addiction via self-regulation. Extraversion and neuroticism directly influenced social media addiction whereas Internet self-efficacy and perceived social support had no direct or indirect effects on social media addiction. In conclusion, personal and environment factors together exert powerful effect on social media addiction. Therefore, nurses and other health professionals can design and test the effectiveness of interventions to reduce social media addiction by decreasing depression, changing subjective norm to improve self-regulation and reduce Internet use expectancies, and screening and modifying extraversion and neuroticism personality.en_US
dc.subjectNursingen_US
dc.titleA Model of Factors Influencing Social Media Addiction in University Studentsen_US
dc.typeJournalen_US
article.title.sourcetitlePacific Rim International Journal of Nursing Researchen_US
article.volume26en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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