{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T16:48:32Z","timestamp":1791478112589,"version":"4.3.4"},"reference-count":54,"publisher":"Public Library of Science (PLoS)","issue":"6","license":[{"start":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T00:00:00Z","timestamp":1748908800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:sec id=\"sec014\">\n<jats:title>Introduction<\/jats:title>\n<jats:p>E-cigarette use is rising globally, particularly among young adults, posing increasing health risks. This study examined the prevalence and factors associated with e-cigarette use among diploma students in a Malaysian vocational college.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec015\">\n<jats:title>Methodology<\/jats:title>\n<jats:p>A cross-sectional study was conducted among 700 students using probability proportionate to size sampling and a validated online questionnaire. Logistic regression identified factors associated with e-cigarette use, with p\u2009&lt;\u20090.05 considered statistically significant.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec016\">\n<jats:title>Results<\/jats:title>\n<jats:p>The response rate was 87.7%, with an e-cigarette use prevalence of 29.0%. Significant factors included male gender (aOR = 5.2, 95% CI: 2.7\u201310.1), Sabah and Sarawak Bumiputera ethnicity(aOR = 83.1, 95% CI: 2.2\u20133146.3), perceived e-cigarette aids in quit smoking (aOR = 1.6, 95% CI: 1.2\u20132.1), perceived e-cigarette does not contain the toxic chemicals found in conventional cigarette (aOR = 1.4, 95% CI: 1.0\u20132.0), having close friends who use conventional cigarette (aOR = 2.1, 95% CI: 1.0\u20134.1) or e-cigarette (aOR = 8.0, 95% CI: 2.3\u201328.1), television exposure (aOR = 2.1, 95% CI: 1.0\u20134.2), positive attitude towards e-cigarette (aOR = 1.2, 95% CI: 1.1\u20131.2), and higher willingness (aOR = 1.2, 95% CI: 1.0\u20131.3) and intention (aOR = 1.4, 95% CI: 1.2\u20131.5) to use.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec017\">\n<jats:title>Conclusion<\/jats:title>\n<jats:p>E-cigarette use among students was influenced by gender, ethnicity, risk perceptions, peer influence, and media exposure. Targeted interventions addressing these factors are essential for reducing e-cigarette use in this population.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0311585","type":"journal-article","created":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T17:48:39Z","timestamp":1748972919000},"page":"e0311585","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":4,"title":["Prevalence and determinants of e-cigarette use among vocational college students: A cross-sectional study"],"prefix":"10.1371","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-7152-1534","authenticated-orcid":true,"given":"Siti Munisah","family":"Mohd 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