Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States; Department of Psychiatry, University of Vermont, Burlington, VT, United States; Department of Psychology, University of Vermont, Burlington, VT, United States.
Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States; Department of Psychiatry, University of Vermont, Burlington, VT, United States; Department of Psychology, University of Vermont, Burlington, VT, United States.
Prev Med. 2017 Nov;104:92-99. doi: 10.1016/j.ypmed.2017.07.014. Epub 2017 Jul 17.
The overarching aims of this study are to (a) estimate and update knowledge on rates and predictors of awareness, perceived harmfulness, and ever use of e-cigarettes among U.S. adults and (b) to utilize that information to identify risk-factor profiles associated with ever use. Data were collected from the 2015 Health Information National Trends Survey (N=3738). Logistic regression was used to explore relationships between sociodemographics (gender, age, race/ethnicity, sexual orientation, educational attainment, income, and census region), current use of other tobacco products (conventional cigarettes, cigars, and smokeless tobacco), ever use of alternative products (hookah, pipes, roll-your-own cigarettes, and snus) and e-cigarette awareness, perceived harm, and ever use. Classification and regression tree (CART) modeling was used to examine risk-factor profiles of e-cigarette ever use. Results showed that most respondents were aware of e-cigarettes (83.6%) and perceived them to be not at all or moderately harmful (54.7%). Prevalence of e-cigarette ever use was 22.4%. Current cigarette smoking and ever use of alternative tobacco products were powerful predictors of use. Other predictors of use of e-cigarettes were age, race/ethnicity, and educational attainment. Awareness and perceived harm were significant predictors among particular smoker subgroups. Fifteen risk profiles were identified across which prevalence of e-cigarette use varied from 6 to 94%. These results underscore the need to continue monitoring patterns of e-cigarette use. They also provide new knowledge regarding risk-profiles associated with striking differences in prevalence of e-cigarette use that have the potential to be helpful when considering the need for or impact of e-cigarette regulatory policies.
(a) 估计和更新美国成年人对电子烟的认知率、感知危害率和使用率的知识;(b) 利用这些信息确定与电子烟使用相关的风险因素特征。数据来自 2015 年的健康信息国家趋势调查(N=3738)。使用逻辑回归探讨了社会人口统计学因素(性别、年龄、种族/民族、性取向、教育程度、收入和普查区)、当前使用其他烟草产品(传统香烟、雪茄和无烟烟草)、使用替代产品(水烟、烟斗、自卷香烟和鼻烟)与电子烟认知、感知危害和使用之间的关系。使用分类回归树(CART)模型来研究电子烟使用的风险因素特征。结果表明,大多数受访者都知道电子烟(83.6%),并认为电子烟的危害不大或中等(54.7%)。电子烟使用率为 22.4%。当前吸烟和使用替代烟草产品是使用电子烟的有力预测因素。电子烟使用的其他预测因素包括年龄、种族/民族和教育程度。认知和感知危害是特定吸烟人群的重要预测因素。共确定了 15 个风险特征,电子烟使用率在这些特征之间的差异从 6%到 94%不等。这些结果突显了继续监测电子烟使用模式的必要性。它们还提供了与电子烟使用率存在显著差异相关的风险特征的新知识,这些知识在考虑电子烟监管政策的必要性或影响时可能会有所帮助。