Utilizing Social Norms Marketing to Address E-Cigarette Use on College Campuses

E-cigarette use is a serious health concern among adolescents and young adults. This study identifies factors associated with e-cigarette use in an effort to better understand what impacts college students’ decisions to use this tobacco product. This study utilizes data from a survey conducted at a research institution and two community colleges located in Hawaii. A multivariate logistic regression analysis identified key risk factors associated with college student e-cigarette use. Independent factors associated with e-cigarette use included use of traditional cigarettes and having one or more family members or friends who currently used e-cigarettes. Exposure to online e-cigarette information was also associated with increased odds of e-cigarette use. The study findings have important implications for e-cigarette control among adolescents and young adults. Service learning students can take an active role in developing social norms marketing campaigns designed to communicate the risks of e-cigarette use and counter marketing ploys that foster unsubstantiated beliefs regarding the benefits of e-cigarette use.

Social-norms interventions for light and nondrinking students

Social-norms approaches to alcohol prevention are based on consistent findings that most students overestimate the prevalence of drinking among their peers. Most interventions have been developed for heavy-drinking students, and the applicability of social-norms approaches among abstaining or light-drinking students has yet to be evaluated. The present research aimed to evaluate the impact of two types of online social-norms interventions developed for abstaining or light-drinking students. Identification with other students was evaluated as a moderator. Participants included 423 freshmen and sophomore college students who reported never or rarely drinking at screening. Students were randomly assigned to one of three conditions: (a) personalized-norms feedback, (b) social-norms marketing ads, or (c) attention control. Data were analyzed using generalized linear mixed models. Results provided some support for both interventions but were stronger for social-norms marketing ads, particularly among participants who identified more closely with other students.