Center for Tobacco Control Research and Education and Division of General Internal Medicine, University of California, San Francisco, California.
Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
J Adolesc Health. 2019 Jan;64(1):93-98. doi: 10.1016/j.jadohealth.2018.06.022. Epub 2018 Sep 22.
Use of multiple tobacco products is increasing, particularly among young adults. Latent class analysis of substance-use patterns provides a framework for understanding the heterogeneity of use. We sought to identify different patterns of cigarette, e-cigarette, hookah, cigarillo, and smokeless tobacco use among young adult bar patrons.
We conducted repeated cross-sectional surveys of randomized time location samples of young adult California bar patrons in 2013 and 2014. Latent class analysis was used to examine patterns of use among current (past 30-day) tobacco users. Classes were compared on demographic characteristics and tobacco use correlates.
Overall 84.4% of the current tobacco users were cigarette smokers, 38.7% used electronic cigarettes, 35.9% used hookah, 30.1% smoked cigars/cigarillos, and 15.4% used smokeless tobacco in the past 30 days. We extracted six latent classes: "Cigarette only" (n = 1690), "Hookah mostly" (n = 479), "High overall use" (n = 528), "Smokeless mostly" (n = 95), "E-cigarette mostly" (n = 439), "Cigars mostly" (n = 435). These classes differed in their risk profiles on both current use compared to no use, and number of days they used each tobacco product. Differences between classes emerged on demographics (age, sex, race/ethnicity) and tobacco correlates including perceived peer smoking, antitobacco industry attitudes, prioritizing social activities, and advertising receptivity.
Understanding different patterns of multiple tobacco product use may inform both prevention and cessation programming for young adults. It may be efficient to tailor messages to different latent classes and address the distinct demographic and attitudinal profiles of groups of multiple tobacco product users.
多种烟草制品的使用正在增加,尤其是在年轻人中。物质使用模式的潜在类别分析为理解使用的异质性提供了一个框架。我们旨在确定年轻酒吧顾客中香烟、电子烟、水烟、小雪茄和无烟烟草使用的不同模式。
我们对 2013 年和 2014 年加利福尼亚州酒吧顾客的随机时间地点样本进行了重复横断面调查。潜在类别分析用于检查当前(过去 30 天)烟草使用者的使用模式。对不同类别的人口统计学特征和烟草使用相关性进行了比较。
总体而言,84.4%的当前烟草使用者为香烟吸烟者,38.7%使用电子烟,35.9%使用水烟,30.1%吸雪茄/小雪茄,15.4%在过去 30 天内使用无烟烟草。我们提取了六个潜在类别:“仅香烟”(n=1690)、“主要用水烟”(n=479)、“总体高使用”(n=528)、“主要使用无烟烟草”(n=95)、“主要使用电子烟”(n=439)和“主要使用雪茄”(n=435)。这些类别在当前使用(与不使用相比)和每天使用每种烟草制品的数量方面的风险状况上存在差异。在人口统计学(年龄、性别、种族/民族)和烟草相关性方面存在差异,包括感知到的同伴吸烟、反烟草行业态度、优先考虑社交活动和广告接受度。
了解多种烟草制品使用的不同模式可能为年轻人的预防和戒烟计划提供信息。针对不同的潜在类别定制信息,并解决不同的多烟草制品使用者群体的独特人口统计学和态度特征,可能会更加高效。