ArticleAIMS public health2018
Behavioral risk factor clusters among university students at nine universities in Libya.
Article in AIMS public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Article
- Prevalence and Correlates of Health Risk Behaviors among University Students from a State in the Southern Region of Brazil.International journal of environmental research and public health · 2024Article
- Clusters of lifestyle behavioral risk factors and their associations with depressive symptoms and stress: evidence from students at a university in Finland.BMC public health · 2024Article
- Multi-Substance Use Behaviors: Prevalence and Correlates of Alcohol, Tobacco and Other Drug (ATOD) Use among University Students in Finland.International journal of environmental research and public health · 2021Article
- Is Achieving the Guidelines of Four Forms of Physical Activity Associated with Less Self-Reported Health Complaints? Cross-Sectional Study of Undergraduates at the University of Turku, Finland.International journal of environmental research and public health · 2020Article
- Is Alcohol Consumption Associated with Poor Perceived Academic Performance? Survey of Undergraduates in Finland.International journal of environmental research and public health · 2020Article
- Prevalence of Overweight and Obesity and Its Association With Lifestyle Practices as Predictors Among Nursing Students: A Cross-Sectional Study.SAGE open nursingArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study identifies and describes the clustering of 5 behavioral risk factors (BRFs) among university students. We also investigated whether cluster membership is associated with the students' self-rated academic performance and self-rated health. MATERIAL AND
methodsA sample of 1300 undergraduates at 6 universities and 3 colleges in Libya completed a self-administered questionnaire that assessed BRFs (nutrition, physical activity, alcohol consumption, smoking, illicit drug use, inadequate sleep). A two-step cluster analysis generated student clusters with similar lifestyles.
resultsTwo contrasting clusters of almost even size emerged (after exclusion of alcohol and illicit drug use due to very low prevalence). Cluster 1 comprised students with higher engagement in all forms of physical activity, higher levels of health consciousness, greater daily fruit/vegetable intake and better sleep patterns than students in cluster 2. Only as regards the consumption of sweets, cluster 1 students had less favorable practices than cluster 2 students. The prevalence of smoking was equally low in both clusters. Students in cluster 2, depicting a less healthy lifestyle, were characterized by a higher proportion of women, of students with less income and of higher years of study. Belonging to cluster 2 was associated with lower self-rated health (OR: 0.46,
conclusionPreventive programs should not address BRFs in isolation and should particularly target students with clustering of BRFs using specifically tailored approaches.
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