Association Between Electronic Cigarette Marketing Near Schools and E-cigarette Use Among Youth

Giovenco, Daniel P.; Casseus, Myriam; Duncan, Dustin T.; Coups, Elliot J.; Lewis, M. Jane; Delnevo, Cristine D.

doi:10.1016/j.jadohealth.2016.08.007

Cited by 91 publications

(81 citation statements)

References 29 publications

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“…Similarly, non-Hispanic whites were also more likely to be dual users of both e-cigarettes and cigarettes than those who reported their race as “Other, Non-Hispanic.” Whites are more likely than some racial/ethnic groups, such as blacks, to use/have regular access to the Internet, 30 which is a major source of e-cigarette advertisements. 31 Retail availability of e-cigarettes, which is associated with increased use of e-cigarettes, 32 is also more likely in neighborhoods with higher household income and less likely in predominantly Hispanic or black neighborhoods. 23,33 …”

Section: Discussionmentioning

confidence: 99%

Characteristics of Adults Who Switched From Cigarette Smoking to E-cigarettes

Park

Duncan

El-Shahawy

et al. 2017

American Journal of Preventive Medicine

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Introduction Because of the rapidly increasing use of electronic cigarettes (e-cigarettes), this study aimed to investigate the individual characteristics and state-level prevalence of U.S. adults who have switched to e-cigarettes from traditional cigarettes. Methods Data from the 2012–2013 and 2013–2014 National Adult Tobacco Surveys were analyzed in 2016. Relative percent change in switching was estimated, and the state-specific prevalence of adults who switched to e-cigarettes from traditional cigarettes was calculated and mapped. Multivariate logistic regression was conducted to examine how switching varied by sociodemographic subgroups and region. Results Overall, the number of individuals who switched from traditional cigarettes to e-cigarettes increased by approximately 100% over the 1-year interval. Significant increases were found among a number of sociodemographics and regions. Multivariate logistic regression analyses showed that young adults and those living in the South and West were more likely to switch to e-cigarettes, compared to former smokers who did not switch. Compared with current dual users, those with higher education and those who were not single were more likely to switch to e-cigarettes. The state with the highest prevalence of switching was New Mexico (7.3%), whereas Connecticut had the lowest prevalence (0.8 %) among former smokers. Conclusions There is an increase in the progression from traditional cigarette use to e-cigarette use. Further research is warranted to determine whether this change continues and facilitates cigarette smoking cessation as a possible public health benefit and opportunity to save lives rather than constitutes a potential threat to public health.

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Section: Discussionmentioning

confidence: 99%

Characteristics of Adults Who Switched From Cigarette Smoking to E-cigarettes

Park

Duncan

El-Shahawy

et al. 2017

American Journal of Preventive Medicine

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“…Emerging evidence suggests vape shops may cluster near college campuses [6] and provide information that is not scientifically-based about quitting and harms of ENDS use [3]. Additionally, exposure to marketing at retailers who sell ENDS is associated with youth ENDS use [7,8]. For these reasons, efforts to regulate ENDS products and the practices of ENDS retailers are an important part of promoting population health [9].…”

Section: Introductionmentioning

confidence: 99%

Identification of Vape Shops in Two North Carolina Counties: An Approach for States without Retailer Licensing

Lee

D’Angelo

Kuteh

et al. 2016

IJERPH

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Stores that sell electronic nicotine delivery systems (ENDS) as their primary product are a new phenomenon and often termed “vape shops”. While vape shops are now regulated by state and federal agencies, not all states maintain lists of vape shops in operation. Standard ways of identifying tobacco retailers through off-premise alcohol permits and business listing services may not identify vape shops. We used four online business listing services (i.e., Google Maps, ReferenceUSA, YellowPages.com, Yelp) to identify vape shops in two counties in North Carolina (NC). In one county, we also assessed four vaping web sites. We drove primary and secondary roads to physically validate the identified stores and attempt to identify stores not listed online. To assess the accuracy of the online searches, we calculated sensitivity and positive predictive values (PPVs). This research was conducted in spring and summer 2016 and identified 28 vape shops online. We confirmed 16 vape shops (seven in Pitt County, NC, USA, and nine in Durham County, NC, USA). Online searches ranged in sensitivity, 62.5%–81.3%, and PPVs ranged from 73.3% to 92.3%. Because of the range of sensitivity found among the business listing services, state policymakers should consider uniform licensing requirements for vape and tobacco retailers to more easily track retailers and ensure compliance with regulations.

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“…For example, surveys of youth and young adults can reveal their levels of exposure to e-cigarette marketing as well as how they react to and interact with e-cigarette marketing. Several studies 6,8,9 have highlighted the extent of youth’s and young adults’ exposure to e-cigarette marketing, their receptivity towards e-cigarette marketing, and have examined how marketing exposure and receptivity, including receptivity to tobacco marketing in general, 10 are associated with e-cigarette use and susceptibility. A straightforward way of collecting data on marketing exposure is to ask participants how often they have been exposed to the ads for a product of interest (eg, e-cigarettes) across various marketing channels (eg, TV, Internet, radio, magazines, and stores).…”

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confidence: 99%

“…An index for point-of-sale marketing exposure can be computed by combining information on participants’ store visit behavior and stores’ point-of-sale marketing practices. Another method, 9 particularly applicable to adolescents, is to count the number of tobacco retailers in the vicinity of schools. Giovenco et al 9 showed that e-cigarette retailer density around schools was positively associated with ever and past-month use of e-cigarettes.…”

mentioning

confidence: 99%

“…Another method, 9 particularly applicable to adolescents, is to count the number of tobacco retailers in the vicinity of schools. Giovenco et al 9 showed that e-cigarette retailer density around schools was positively associated with ever and past-month use of e-cigarettes. Thirdly, adolescents’ frequency of visits to convenience stores that sell tobacco products has been associated with cigarette use behavior and susceptibility.…”

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confidence: 99%

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Comparison of Measures of E-cigarette Advertising Exposure and Receptivity

et al. 2017

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Objectives We tested how various measures of e-cigarette advertising exposure and receptivity are related to each other and compare to each other in their associations with e-cigarette use susceptibility and behavior. Methods Cross-sectional data were collected from young adult college students (N = 470; Mage = 20.9, SD = 2.1; 65% women). Measures of e-cigarette advertising exposure/receptivity compared included a cued recall measure, measures of marketing receptivity, perceived ad exposure, liking of e-cigarette ads, and frequency of convenience store visit, which is considered a measure of point-of-sale ad exposure. Results The cued-recall measure was associated with e-cigarette use experimentation but not current e-cigarette use. Marketing receptivity was associated with current e-cigarette use but not e-cigarette use experimentation. Liking of e-cigarette ads was the only measure associated with e-cigarette use susceptibility. Frequency of convenience store visit was associated with current e-cigarette use but not e-cigarette use experimentation or susceptibility. Conclusion Inclusion of multiple measures of marketing exposure and receptivity is recommended for regulatory research concerning e-cigarette marketing. Marketing receptivity and cued recall measures are strong correlates of current and ever e-cigarette use, respectively.

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Association Between Electronic Cigarette Marketing Near Schools and E-cigarette Use Among Youth

Cited by 91 publications

References 29 publications

Characteristics of Adults Who Switched From Cigarette Smoking to E-cigarettes

Characteristics of Adults Who Switched From Cigarette Smoking to E-cigarettes

Identification of Vape Shops in Two North Carolina Counties: An Approach for States without Retailer Licensing

Comparison of Measures of E-cigarette Advertising Exposure and Receptivity

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