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Behavioral risk factor clusters among university students at nine universities in Libya
OBJECTIVES: This 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 METHODS: A sample of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AIMS Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141555/ https://www.ncbi.nlm.nih.gov/pubmed/30280117 http://dx.doi.org/10.3934/publichealth.2018.3.296 |
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author | El Ansari, Walid Khalil, Khalid A Ssewanyana, Derrick Stock, Christiane |
author_facet | El Ansari, Walid Khalil, Khalid A Ssewanyana, Derrick Stock, Christiane |
author_sort | El Ansari, Walid |
collection | PubMed |
description | OBJECTIVES: This 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 METHODS: A 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. RESULTS: Two 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, p < 0.001) and with lower self-rated academic performance (OR: 0.66, p < 0.001). CONCLUSION: Preventive programs should not address BRFs in isolation and should particularly target students with clustering of BRFs using specifically tailored approaches. |
format | Online Article Text |
id | pubmed-6141555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | AIMS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61415552018-10-02 Behavioral risk factor clusters among university students at nine universities in Libya El Ansari, Walid Khalil, Khalid A Ssewanyana, Derrick Stock, Christiane AIMS Public Health Research Article OBJECTIVES: This 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 METHODS: A 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. RESULTS: Two 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, p < 0.001) and with lower self-rated academic performance (OR: 0.66, p < 0.001). CONCLUSION: Preventive programs should not address BRFs in isolation and should particularly target students with clustering of BRFs using specifically tailored approaches. AIMS Press 2018-08-10 /pmc/articles/PMC6141555/ /pubmed/30280117 http://dx.doi.org/10.3934/publichealth.2018.3.296 Text en © 2018 the Author(s), licensee AIMS Press This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) |
spellingShingle | Research Article El Ansari, Walid Khalil, Khalid A Ssewanyana, Derrick Stock, Christiane Behavioral risk factor clusters among university students at nine universities in Libya |
title | Behavioral risk factor clusters among university students at nine universities in Libya |
title_full | Behavioral risk factor clusters among university students at nine universities in Libya |
title_fullStr | Behavioral risk factor clusters among university students at nine universities in Libya |
title_full_unstemmed | Behavioral risk factor clusters among university students at nine universities in Libya |
title_short | Behavioral risk factor clusters among university students at nine universities in Libya |
title_sort | behavioral risk factor clusters among university students at nine universities in libya |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141555/ https://www.ncbi.nlm.nih.gov/pubmed/30280117 http://dx.doi.org/10.3934/publichealth.2018.3.296 |
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