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Association of tobacco retailer count with smoking population versus vaping population in California (2019)
BACKGROUND: Access to tobacco products, including vape products, from local brick-and-mortar stores influences the exposure, uptake, and use of these products in local communities. METHODS: Licensed tobacco retailers in California were classified as specialized tobacco/vape stores or non-specialized...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8793220/ https://www.ncbi.nlm.nih.gov/pubmed/35086563 http://dx.doi.org/10.1186/s13690-022-00799-1 |
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author | Purushothaman, Vidya Cuomo, Raphael E. Li, Jiawei Nali, Matthew Mackey, Tim K. |
author_facet | Purushothaman, Vidya Cuomo, Raphael E. Li, Jiawei Nali, Matthew Mackey, Tim K. |
author_sort | Purushothaman, Vidya |
collection | PubMed |
description | BACKGROUND: Access to tobacco products, including vape products, from local brick-and-mortar stores influences the exposure, uptake, and use of these products in local communities. METHODS: Licensed tobacco retailers in California were classified as specialized tobacco/vape stores or non-specialized stores by obtaining categories published on Yelp. California smoking and vaping prevalence data were obtained from the 500 cities project and ESRI community analyst tool respectively. A series of simple linear regression tests were performed, at the zip code level, between the retailer count in each store category and smoking/vaping population. The Getis-Ord Gi* and Anselin Local Moran’s I statistics were used for characterization of tobacco retail density hotspots and cold spots. RESULTS: The association between CA smoking/vaping population and number of tobacco retailers was statistically significant for all store categories. Variability in smoking population was best explained by variability in non-specialized storefronts(R(2)=0.84). Spatial variability in tobacco-only storefronts explained the least proportion of variability in the overall smoking population. Similar results were obtained specific to vaping population, although the proportion of population explained by variability in the number of non-specialized storefronts was comparatively lower(R(2)=0.80). CONCLUSIONS: Localities with greater numbers of non-specialized tobacco retailers had higher rates of smoking/vaping populations, and this association was much stronger for localities with greater numbers of specialized retailers. Non-specialized storefronts may represent convenient access points for nicotine products, while specialized storefronts may represent critical access points for initiation. Hence, regulations that address the entirety of the tobacco/vaping retail environment by limiting widespread access from non-specialized stores and reducing appeal generated by specialized retailers should be incorporated in future tobacco regulatory science and policymaking. |
format | Online Article Text |
id | pubmed-8793220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87932202022-02-03 Association of tobacco retailer count with smoking population versus vaping population in California (2019) Purushothaman, Vidya Cuomo, Raphael E. Li, Jiawei Nali, Matthew Mackey, Tim K. Arch Public Health Research BACKGROUND: Access to tobacco products, including vape products, from local brick-and-mortar stores influences the exposure, uptake, and use of these products in local communities. METHODS: Licensed tobacco retailers in California were classified as specialized tobacco/vape stores or non-specialized stores by obtaining categories published on Yelp. California smoking and vaping prevalence data were obtained from the 500 cities project and ESRI community analyst tool respectively. A series of simple linear regression tests were performed, at the zip code level, between the retailer count in each store category and smoking/vaping population. The Getis-Ord Gi* and Anselin Local Moran’s I statistics were used for characterization of tobacco retail density hotspots and cold spots. RESULTS: The association between CA smoking/vaping population and number of tobacco retailers was statistically significant for all store categories. Variability in smoking population was best explained by variability in non-specialized storefronts(R(2)=0.84). Spatial variability in tobacco-only storefronts explained the least proportion of variability in the overall smoking population. Similar results were obtained specific to vaping population, although the proportion of population explained by variability in the number of non-specialized storefronts was comparatively lower(R(2)=0.80). CONCLUSIONS: Localities with greater numbers of non-specialized tobacco retailers had higher rates of smoking/vaping populations, and this association was much stronger for localities with greater numbers of specialized retailers. Non-specialized storefronts may represent convenient access points for nicotine products, while specialized storefronts may represent critical access points for initiation. Hence, regulations that address the entirety of the tobacco/vaping retail environment by limiting widespread access from non-specialized stores and reducing appeal generated by specialized retailers should be incorporated in future tobacco regulatory science and policymaking. BioMed Central 2022-01-27 /pmc/articles/PMC8793220/ /pubmed/35086563 http://dx.doi.org/10.1186/s13690-022-00799-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Purushothaman, Vidya Cuomo, Raphael E. Li, Jiawei Nali, Matthew Mackey, Tim K. Association of tobacco retailer count with smoking population versus vaping population in California (2019) |
title | Association of tobacco retailer count with smoking population versus vaping population in California (2019) |
title_full | Association of tobacco retailer count with smoking population versus vaping population in California (2019) |
title_fullStr | Association of tobacco retailer count with smoking population versus vaping population in California (2019) |
title_full_unstemmed | Association of tobacco retailer count with smoking population versus vaping population in California (2019) |
title_short | Association of tobacco retailer count with smoking population versus vaping population in California (2019) |
title_sort | association of tobacco retailer count with smoking population versus vaping population in california (2019) |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8793220/ https://www.ncbi.nlm.nih.gov/pubmed/35086563 http://dx.doi.org/10.1186/s13690-022-00799-1 |
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