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The Association of Point-of-Sale E-cigarette Advertising with Socio-Demographic Characteristics of Neighborhoods

Overview of attention for article published in Journal of Prevention, March 2018
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Title
The Association of Point-of-Sale E-cigarette Advertising with Socio-Demographic Characteristics of Neighborhoods
Published in
Journal of Prevention, March 2018
DOI 10.1007/s10935-018-0506-y
Pubmed ID
Authors

Neng Wan, Mohammad Siahpush, Raees A. Shaikh, Molly McCarthy, Athena Ramos, Antonia Correa

Abstract

Electronic cigarettes (e-cigarettes) marketing expenditure is skyrocketing in the United States. However, little is understood about the geographic and socio-demographic patterns of e-cigarette advertising. We examined the associations between point-of-sale (POS) e-cigarette advertising and neighborhood socio-demographic characteristics in the Omaha Metropolitan Area of Nebraska. In 2014, fieldworkers collected comprehensive POS e-cigarette advertising data from all stores that sell tobacco (nā€‰=ā€‰463) in the Omaha Metropolitan Area. We used Geographic Information Systems to map POS e-cigarette advertisement density for the entire study area. Linear regression was used to examine the association between socio-demographic factors and POS e-cigarette advertising density. E-cigarette advertising density exhibited an obviously uneven geographic pattern in Omaha. Higher level of POS e-cigarette advertising was significantly related to lower median household income, higher percentage of Hispanics, and higher percentage of young adults. However, after adjusting for covariates, only median household income remained significantly associated with POS e-cigarette advertising. We found geographic, socioeconomic, and racial and ethnic disparities in exposure to POS e-cigarette advertising in Omaha, Nebraska. Future studies are needed to understand how these disparities influence e-cigarette adoption by different social groups and how to use such information to inform e-cigarette prevention strategies.

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Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Student > Bachelor 5 13%
Researcher 4 11%
Student > Doctoral Student 3 8%
Student > Master 3 8%
Other 4 11%
Unknown 13 34%
Readers by discipline Count As %
Psychology 6 16%
Social Sciences 6 16%
Nursing and Health Professions 4 11%
Business, Management and Accounting 2 5%
Medicine and Dentistry 2 5%
Other 4 11%
Unknown 14 37%