<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-05T00:05:20.042951452Z</responseDate><request verb="GetRecord" identifier="oai:dspace.library.uu.nl:1874/376677" metadataPrefix="oai_dc">https://dspace.library.uu.nl/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.library.uu.nl:1874/376677</identifier><datestamp>2026-03-27T08:08:40Z</datestamp><setSpec>com_1874_296827</setSpec><setSpec>col_1874_296828</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:rights>info:eu-repo/semantics/OpenAccess</dc:rights>
   <dc:title>Behavioral risk factor clusters among university students at nine universities in Libya</dc:title>
   <dc:creator>El Ansari, Walid</dc:creator>
   <dc:creator>Khalil, Khalid A</dc:creator>
   <dc:creator>Ssewanyana, Derrick</dc:creator>
   <dc:creator>Stock, Christiane</dc:creator>
   <dc:subject>university students</dc:subject>
   <dc:subject>gender</dc:subject>
   <dc:subject>risk factors</dc:subject>
   <dc:subject>health behaviors</dc:subject>
   <dc:subject>cluster analysis</dc:subject>
   <dc:subject>SDG 3 - Good Health and Well-being</dc:subject>
   <dc: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 &lt; 0.001) and with lower self-rated academic performance (OR: 0.66, p &lt; 0.001). Conclusion: Preventive programs should not address BRFs in isolation and should particularly target students with clustering of BRFs using specifically tailored approaches.</dc:description>
   <dc:creator>Leerstoel Baar</dc:creator>
   <dc:creator>Development and Treatment of Psychosocial Problems</dc:creator>
   <dc:date>2018</dc:date>
   <dc:type>Article</dc:type>
   <dc:format>text/plain</dc:format>
   <dc:identifier>https://dspace.library.uu.nl/handle/1874/376677</dc:identifier>
   <dc:identifier>AIMS Public Health 5(3), 296-311 (2018)</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>2327-8994</dc:relation>
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