Afrashteh, Sima and Ghaem, Haleh and Ghahramanloo, Abbas Abbasi (2017) Clustering and combining pattern of high-risk behaviors among Iranian university students: A latent class analysis. Journal of Research in Health Sciences, 17 (4).
Full text not available from this repository.Abstract
High-risk behaviors are increasing among young adults worldwide. We aimed to identify university students’ subgroups on the basis of high-risk behaviors and to assess the role of age, living alone, religious beliefs, and parental support in the membership of specific subgroups. Study design: A cross-sectional study Methods: The study was conducted in Bushehr (the south of Iran) from November to December 2016. The sample included 977 university students selected through random sampling. The data were collected using a self-administered questionnaire. Then, latent class analysis was used to classify the students. Results: Totally, five latent classes were identified as follows: low risk, high risk, somewhat low risk, hookah user, and very high risk. Notably, 7.7% and 2.5% of the students belonged to high risk and very high risk classes, respectively. The results suggested the protective effect of familial support and religiosity on high-risk behaviors. Conclusions: This study indicated the co-occurrence of high-risk behaviors. The findings can be used to plan and evaluate interventions by considering risk factors and protective factors in universities.
| Item Type: | Article |
|---|---|
| Subjects: | WA Public Health |
| Divisions: | Faculty of Public Health |
| Depositing User: | محسن زارعی |
| Date Deposited: | 31 Dec 2018 08:30 |
| Last Modified: | 31 Dec 2018 08:30 |
| URI: | http://eprints.bpums.ac.ir/id/eprint/7343 |
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