A latent class analysis of multiple health-risk behaviours among Portuguese college students

Author:

Alves ReginaORCID

Abstract

Traditionally, the prevalence of health-risk behaviours is high among university students. Although these behaviours are often analysed in isolation, there is likely evidence for the co-occurrence of multiple risk behaviours. In this study, a latent class analysis (LCA) was conducted with cross-sectional data from 840 Portuguese students (55.4% female) to explore patterns of multiple risk behaviours across seven behavioural dimensions (alcohol consumption, smoking, unhealthy eating, sedentary behaviour, risky sexual practices, illicit drug use, and self-medication). Additionally, a latent class regression was performed to explore predictors (perceived well-being and sociodemographic and academic characteristics) for each behavioural pattern. A three-class model emerged with different probabilities of risk: Low-risk behaviours (51.4%), Moderate-risk behaviors (14.9%), and High-risk behaviours (33.7%). Students with better perceptions of well-being and health were likelier to be in the healthier class. Students in the low- and moderate-risk classes were more likely to be in their first year of study, not in a romantic relationship and to be full-time students. Students who had not changed residence at the beginning of their studies and were female were more likely to be in the healthiest class. This study provides essential strategies for health promotion among university students, offering crucial insights for the design of effective health promotion interventions, especially targeted at specific groups of students with similar patterns of multiple risk behaviours.

Publisher

Universidade da Coruna

Reference43 articles.

1. AFRASHTEH, Sima; GHAEM, Haleh & ABBASI-GHAHRAMANLOO, Abbas (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), 00398. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189947/

2. ALVES, Regina F. (2022a). Knowledge, attitudes and health-related behaviors among Higher Education students: assessment and monitoring of a socioeducational intervention program in a non-formal context [Doctoral thesis, University of Minho]. https://hdl.handle.net/1822/75905

3. ALVES, Regina F. (2022b). The association between subjective well-being and risky behaviours in university students. Psihologijske Teme, 31(3), 565-583. https://doi.org/10.31820/pt.31.3.5

4. ALVES, Regina F. & PRECIOSO, José (2020). Knowledge, attitude and practice on healthy diet among university students in Portugal. International Journal of Nutrition Sciences, 5(2), 2-9. https://ijns.sums.ac.ir/article_46568.html

5. ALVES, Regina F. & PRECIOSO, José (2022). A influência dos pares no consumo de Substâncias Psicoativas entre estudantes universitários/as. Revista de Estudios e Investigación En Psicología y Educación, 9, 5-17. https://doi.org/10.17979/reipe.2022.9.0.8912

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