Amanda Richardson, Jessica Rath, and Donna Vallone are with the Department of Research and Evaluation, Legacy, Washington, DC, and the Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. Valerie Williams is with the Department of Research and Evaluation, Legacy. Andrea C. Villanti is with The Schroeder Institute for Tobacco Research and Policy Studies, Legacy, and the Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health.
Am J Public Health. 2014 Aug;104(8):1429-36. doi: 10.2105/AJPH.2013.301802. Epub 2014 Jun 12.
We monitored the prevalence and patterns of use of the array of tobacco products available to young adults, who are at risk for initiation and progression to established tobacco use.
We used data from waves 1 to 3 of GfK's KnowledgePanel (2011-2012), a nationally representative cohort of young adults aged 18 to 34 years (n = 2144). We examined prevalence and patterns of tobacco product use over time, associated demographics, and state-level tobacco policy. We used multivariable logistic regression to determine predictors of initiation of cigarettes as well as noncombustible and other combustible products.
The prevalence of ever tobacco use rose from 57.28% at wave 1 to 67.43% at wave 3. Use of multiple products was the most common pattern (66.39% of tobacco users by wave 3). Predictors of initiation differed by product type and included age, race/ethnicity, policy, and use of other tobacco products.
Tobacco use is high among young adults and many are using multiple products. Efforts to implement policy and educate young adults about the risks associated with new and emerging products are critical to prevent increased initiation of tobacco use.
我们监测了年轻成年人可获得的一系列烟草产品的流行程度和使用模式，这些年轻人有开始和继续使用已建立的烟草制品的风险。
我们使用 GfK KnowledgePanel（2011-2012 年）第 1 至 3 波的数据，这是一个代表年龄在 18 至 34 岁的年轻成年人的全国性队列（n=2144）。我们研究了随时间推移的烟草产品使用的流行程度和模式、相关人口统计学特征以及州级烟草政策。我们使用多变量逻辑回归来确定香烟以及非燃烧和其他燃烧产品起始的预测因素。
曾经使用过烟草的比例从第 1 波的 57.28%上升到第 3 波的 67.43%。使用多种产品是最常见的模式（到第 3 波时，66.39%的烟草使用者）。不同产品类型的起始预测因素不同，包括年龄、种族/族裔、政策以及其他烟草产品的使用。
年轻人中烟草使用率很高，许多人同时使用多种产品。为了实施政策和教育年轻人了解新出现的产品所带来的风险，防止烟草使用的增加，需要付出努力。
