Comparing American college and noncollege young adults on e-cigarette use patterns including polysubstance use and reasons for using e-cigarettes

Abstract

Objective: Existing literature on young adults’ e-cigarette and polysubstance use focused on college students. This study examined the differences between college and noncollege groups on prevalence and patterns of e-cigarette and other substance use using data from a national survey. Participants: Adults aged 18–24 from the 2013–2014 Population Assessment of Tobacco and Health Study (n?=?6,608). Methods: Independent sample t-tests and Chi-square tests were conducted to examine group differences. Results: Noncollege young adults had higher prevalence of cigarette, e-cigarette, and marijuana use; college students had higher prevalence of alcohol use. Among current e-cigarette users, college students had higher prevalence of polysubstance use of alcohol and marijuana. College students used e-cigarettes for socializing purposes more. Conclusions: Differences in prevalence and patterns of e-cigarette and other substance use between college and noncollege groups exist. Future interventions should target the social context of college life and reach out to noncollege young adults in workplaces.     

Longitudinal predictors of cigarette use among students from 24 Texas colleges

ABSTRACT

Objective: The purpose of this study is to examine differences between current and non-current cigarette users, focusing on sociodemographic factors, non-cigarette tobacco product use, parental and friend use, and alcohol and marijuana use; and to identify predictors of cigarette use sixmonths later. Participants: Participants included young adults (n = 4,296) from 24 Texas colleges, participating in a young adult cohort study, beginning in fall 2014. Methods: Mixed effects logistic regressions were conducted accounting for school-level variability. Results: Cigarette users were older, more likely to report use of non-cigarette tobacco products and peer use of cigarettes than non-current users. Wave 1 cigarette and non-cigarette tobacco product use, marijuana use and binge drinking, and peer use all uniquely predicted cigarette use at wave 2. Conclusions: Colleges need prevention programs targeting multiple tobacco products, because non-cigarette tobacco use and other risky behaviors appear to be independent risk factors for cigarette use in young adults.     

Measuring characteristics of e-cigarette consumption among college students

Objective: E-cigarette use among college students has increased drastically in recent years. This study aims to inform development of a comprehensive measure of e-cigarette consumption for this population.

Participants and Methods: This mixed-method study collected both quantitative and qualitative data from a sample of 43 experienced e-cigarette users from two college campuses, using a self-reported questionnaire and a semi-structured interview, in March–September of 2017.

Results: College student users found some of the consumption questions in national surveys difficult to answer. Switching nicotine levels, mixing flavors, co-using with alcohol and marijuana, using with others who were vaping or drinking, and vaping in a car or indoor space were all common. The participants defined “regular user” based on ownership of a device rather than on quantity/frequency.

Conclusions: A comprehensive e-cigarette consumption measure should cover the complex characteristics that are potentially associated with negative health consequences such as flavorings, co-use and social contexts.     

Incorporating Message Framing into Narrative Persuasion to Curb E-Cigarette Use Among College Students

This study examines the interaction effect of message format (narrative vs. nonnarrative) and message framing (gain vs. loss) in e-cigarette prevention targeting young adults. Results of a two-way experiment (N = 439) revealed that transportation and discrete emotions mediated message effect on risk perception and behavioral intention. Compared to the gain-framed nonnarrative, the gain-framed narrative reduced feelings of guilt, and guilt was negatively related to risk perception and positively related to behavioral intention. Thus, the gain-framed narrative achieved desirable persuasive outcome through guilt—increasing risk perception and decreasing intention to use e-cigarette. Similarly, the loss-framed narrative evoked greater sadness, which also led to increased risk perception and decreased behavioral intention. Transportation and discrete emotions mediated message effect in a serial order. This research not only contributes to the literature on narrative persuasion and emotion, but also provides insight for health communication designed for e-cigarette prevention.     

Electronic Cigarette Use Among College Students: Links to Gender,Race/Ethnicity,Smoking, and Heavy Drinking

Abstract

Objective: Electronic cigarette (e-cigarette) use continues to rise, and current data regarding use of e-cigarettes among college students are needed. The purpose of this study was to examine e-cigarette use and the relation of such use with gender, race/ethnicity, traditional tobacco use, and heavy drinking. Participants and Methods: A sample of 599 college students enrolled in General Psychology at a state university completed a self-report questionnaire. Results: Twenty-nine percent of students reported prior use of e-cigarettes, with 14% reporting use in the past 30 days. E-cigarette use was linked to male gender but not to race/ethnicity. Dual use (ie, concurrent use of both traditional and e-cigarettes) was related to heavier use of traditional and e-cigarettes, and nicotine use was linked to pronounced rates of heavy drinking. Conclusions: E-cigarette use among college students is exponentially on the rise, and its co-use with alcohol may contribute to negative outcomes in this population.