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A geospatial analysis of age disparities in resolute localities of tobacco and vaping-specific storefronts in California

INTRODUCTION: Concomitant with the popularization of vaping, vape shops have dramatically proliferated over the past years. This study assesses whether vape storefronts in California are significantly associated with density of different age groups, and whether this differs between tobacco storefron...

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Detalles Bibliográficos
Autores principales: Cuomo, Raphael E., Yang, Joshua S., Purushothaman, Vidya L., Nali, Matthew, Li, Jiawei, Mackey, Tim K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Publishing on behalf of the European Network for Smoking and Tobacco Prevention (ENSP) 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114581/
https://www.ncbi.nlm.nih.gov/pubmed/34017926
http://dx.doi.org/10.18332/tpc/133933
Descripción
Sumario:INTRODUCTION: Concomitant with the popularization of vaping, vape shops have dramatically proliferated over the past years. This study assesses whether vape storefronts in California are significantly associated with density of different age groups, and whether this differs between tobacco storefronts or non-specific tobacco retailers. METHODS: Addresses for licensed tobacco retailers were obtained from the California Department of Tax and Fee Administration. Business names and addresses were used to obtain store categories cross-referenced from Yelp. Using a cross-sectional ecological design, stores categorized as ‘Vape Shop’ or ‘Tobacco Shop’ were geolocated and compared with age-related variables from the American Community Survey. Regression was conducted in R to determine relationships between age group concentration, in ventiles, and proportion of tracts with tobacco-specific or vape-specific stores. Geospatial visualization was conducted using ArcGIS. RESULTS: We found 848 vape shops, 820 tobacco shops, 419 categorized as both, and 20320 retailers with neither category. Overall, 1800 tobacco and/or vape shops were categorized in 1557 of California’s 23194 census tracts. A positive linear association was found between ventiles of two age categories, 20–24 and 25–34 years, and proportion of tracts with vape-specific or tobacco-specific shops separately. CONCLUSIONS: Positive associations were found for ages 20–34 years but not for other ages, suggesting vape shops are strategically located in areas populated by young adults. Location-based targeting increases access, thereby increasing proportion of tobacco users, and could be a critical factor in e-cigarette uptake and use. Further study to identify additional age-related demographic characteristics among clientele of tobacco storefronts is warranted.