Risk-Taking Behaviors Considering Internet Gaming Disorder among Iranian University Students: A Latent Class Analysis.
Background: Dangerous behaviors adversely affect the health of adolescents and young adults. This study aimed to identify the subgroups of college students based on the parameters of risky behavior and analyze the impact of demographic factors and internet gaming disorder (IGD) belonging to each cla...
| Publicado en: | Journal of Research in Health Sciences Vol. 22; no. 3; pp. 1 - 8 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Hamadan University of Medical Sciences, School of Public Health
Summer2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=160121886&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 160121886 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 22287795 903Q jtl: Journal of Research in Health Sciences issn: 22287795 maglogo: N pubinfo: dt: Summer2022 vid: 22 iid: 3 pid: 54266 pub: Hamadan University of Medical Sciences, School of Public Health artinfo: ui: 160121886 160121886 160121886 10.34172/jrhs.2022.91 160121886 ppf: 1 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Risk-Taking Behaviors Considering Internet Gaming Disorder among Iranian University Students: A Latent Class Analysis. aug: au: Seproo, Faeze Ghasemi Janani, Leila Motevalian, Seyed Abbas Abbasi-Ghahramanloo, Abbas Fattahi, Hamed Rimaz, Shahnaz affil: Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran sug: subj: Students, College Psychosocial Factors Internet Addiction Risk Taking Behavior Risk Assessment Iran Cross Sectional Studies Structural Equation Modeling Random Sample Surveys Questionnaires T-Tests Data Analysis Software Confidence Intervals Marital Status Smoking Odds Ratio ab: Background: Dangerous behaviors adversely affect the health of adolescents and young adults. This study aimed to identify the subgroups of college students based on the parameters of risky behavior and analyze the impact of demographic factors and internet gaming disorder (IGD) belonging to each class. Study Design: A cross-sectional study. Methods: The study was conducted on 1355 students through a multi-stage random sampling method in 2020. A survey questionnaire was used to collect data, and all students completed 1294 sets of questionnaires. The data were analyzed using t test and latent class analysis (LCA) through SPSS and PROC LCA in SAS 9.2 software. Results: Three latent classes have been identified as low-risk (75%), tobacco smoker (8%), and high- risk (17%). There was a high possibility of risky behavior in the third class. Marital status (being single) (OR = 2.28, 95% CI: 1.19-4.37), unemployment (having no job) along with education (OR = 1.56, 95% CI: 1.04-2.33), and IGD (OR = 1.06, 95% CI: 1.04-1.09) increased the risk of inclusion in the tobacco smoker class. Moreover, unemployment (having no job) along with education (OR = 1.43, 95% CI: 1.11-1.84) increased the chance of being in the high-risk class. Conclusion: According to the findings of this study, 25% of the students were tobacco smokers or were in the high-risk class. The results of this study may help develop and evaluate preventive strategies that simultaneously take into account different behaviors. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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