Morean Meghan E, Kong Grace, Camenga Deepa R, Cavallo Dana A, Simon Patricia, Krishnan-Sarin Suchitra
Oberlin College, Department of Psychology, 120 W. Lorain St., Oberlin, OH 44074, USA; Yale School of Medicine, Department of Psychiatry, CMHC, 34 Park Street, New Haven, CT 06519, USA.
Yale School of Medicine, Department of Psychiatry, CMHC, 34 Park Street, New Haven, CT 06519, USA.
Drug Alcohol Depend. 2016 Apr 1;161:292-7. doi: 10.1016/j.drugalcdep.2016.02.018. Epub 2016 Feb 22.
There is limited research on adolescents' use of e-cigarettes and other substances.
2241 Connecticut high school students completed anonymous, cross-sectional surveys assessing e-cigarette and other substance use. We used latent class analysis (LCA) to: (1) classify students based on their past-month use of e-cigarettes, cigarettes, cigars, smokeless tobacco, hookah, blunts, marijuana, and alcohol, and (2) determine if age, sex, or race predicted class membership.
Past-month e-cigarette use was 11.6%, and use rates for the remaining substances ranged from 2.8% (smokeless tobacco) to 20.7% (alcohol). The optimal latent class solution comprised four classes: (1) primarily abstainers (81.6%; abstainers), (2) primarily e-cigarette and alcohol users (4.6%; E-cigarette-Alcohol), (3) primarily marijuana and alcohol users (6.9%; Marijuana-Alcohol), and (4) primarily users of all products (6.9%; All Products). Compared to abstainers, (1) all substance-using classes comprised older students, (2) the All Products and E-cigarette-Alcohol classes were more likely to comprise males and less likely to comprise Blacks, and (3) the Marijuana-Alcohol class was more likely to comprise Blacks and Latinos. Relative to the All Products and E-cigarette-Alcohol classes, the Marijuana-Alcohol class was more likely to comprise females, Blacks, and Latinos.
LCA identified four substance use classes, two of which included elevated e-cigarette use. Class membership differed by age, sex, and race. Additional research should evaluate characteristics that may explain the different product use profiles identified in the current study including cultural differences, peer group norms, and differing perceptions of the harmfulness of each substance.
关于青少年使用电子烟及其他物质的研究有限。
2241名康涅狄格州的高中生完成了评估电子烟及其他物质使用情况的匿名横断面调查。我们使用潜在类别分析（LCA）来：（1）根据学生过去一个月使用电子烟、香烟、雪茄、无烟烟草、水烟、大麻烟、大麻和酒精的情况对其进行分类，以及（2）确定年龄、性别或种族是否能预测类别归属。
过去一个月使用电子烟的比例为11.6%，其余物质的使用率从2.8%（无烟烟草）到20.7%（酒精）不等。最优潜在类别解决方案包括四类：（1）主要是戒除者（81.6%；戒除者），（2）主要是电子烟和酒精使用者（4.6%；电子烟 - 酒精使用者），（3）主要是大麻和酒精使用者（6.9%；大麻 - 酒精使用者），以及（4）主要是所有产品使用者（6.9%；所有产品使用者）。与戒除者相比，（1）所有使用物质的类别都包含年龄较大的学生，（2）所有产品使用者和电子烟 - 酒精使用者类别更有可能包含男性，而包含黑人的可能性较小，以及（3）大麻 - 酒精使用者类别更有可能包含黑人和拉丁裔。相对于所有产品使用者和电子烟 - 酒精使用者类别，大麻 - 酒精使用者类别更有可能包含女性、黑人和拉丁裔。
潜在类别分析确定了四类物质使用情况，其中两类包括较高的电子烟使用率。类别归属因年龄、性别和种族而异。进一步的研究应评估可能解释本研究中确定的不同产品使用模式的特征，包括文化差异、同伴群体规范以及对每种物质危害的不同认知。
