PloS one · 2025
Prevalence and determinants of e-cigarette use among vocational college students: A cross-sectional study.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Mohd Shoaib Siti Munisah, Ahmad Norliza, Mahmud Aidalina
Аннотация
INTRODUCTION: 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.
METHODOLOGY: 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 < 0.05 considered statistically significant.
RESULTS: 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: 2.7-10.1), Sabah and Sarawak Bumiputera ethnicity(aOR = 83.1, 95% CI: 2.2-3146.3), perceived e-cigarette aids in quit smoking (aOR = 1.6, 95% CI: 1.2-2.1), perceived e-cigarette does not contain the toxic chemicals found in conventional cigarette (aOR = 1.4, 95% CI: 1.0-2.0), having close friends who use conventional cigarette (aOR = 2.1, 95% CI: 1.0-4.1) or e-cigarette (aOR = 8.0, 95% CI: 2.3-28.1), television exposure (aOR = 2.1, 95% CI: 1.0-4.2), positive attitude towards e-cigarette (aOR = 1.2, 95% CI: 1.1-1.2), and higher willingness (aOR = 1.2, 95% CI: 1.0-1.3) and intention (aOR = 1.4, 95% CI: 1.2-1.5) to use.
CONCLUSION: 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.
METHODOLOGY: 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 < 0.05 considered statistically significant.
RESULTS: 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: 2.7-10.1), Sabah and Sarawak Bumiputera ethnicity(aOR = 83.1, 95% CI: 2.2-3146.3), perceived e-cigarette aids in quit smoking (aOR = 1.6, 95% CI: 1.2-2.1), perceived e-cigarette does not contain the toxic chemicals found in conventional cigarette (aOR = 1.4, 95% CI: 1.0-2.0), having close friends who use conventional cigarette (aOR = 2.1, 95% CI: 1.0-4.1) or e-cigarette (aOR = 8.0, 95% CI: 2.3-28.1), television exposure (aOR = 2.1, 95% CI: 1.0-4.2), positive attitude towards e-cigarette (aOR = 1.2, 95% CI: 1.1-1.2), and higher willingness (aOR = 1.2, 95% CI: 1.0-1.3) and intention (aOR = 1.4, 95% CI: 1.2-1.5) to use.
CONCLUSION: 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.