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Neighborhood Disadvantage and Tobacco Retail Outlet and Vape Shop Outlet Rates

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  • David C. Wheeler

    (Department of Biostatistics, Virginia Commonwealth University, Richmond, VA 23298, USA
    Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA)

  • Elizabeth K. Do

    (Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA
    Department of Health Behavior & Policy, Virginia Commonwealth University, Richmond, VA 23298, USA)

  • Rashelle B. Hayes

    (Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA
    Department of Psychiatry, Virginia Commonwealth University, Richmond, VA 23298, USA)

  • Kendall Fugate-Laus

    (Department of Health Behavior & Policy, Virginia Commonwealth University, Richmond, VA 23298, USA)

  • Westley L. Fallavollita

    (Department of Health Behavior & Policy, Virginia Commonwealth University, Richmond, VA 23298, USA)

  • Colleen Hughes

    (Department of Behavioral Health & Developmental Services, Richmond, VA 23298, USA)

  • Bernard F. Fuemmeler

    (Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA
    Department of Health Behavior & Policy, Virginia Commonwealth University, Richmond, VA 23298, USA)

Abstract

Neighborhood-level socioeconomic variables, such as the proportion of minority and low-income residents, have been associated with a greater density of tobacco retail outlets (TROs), though less is known about the degree to which these neighborhood indicators are related to vape shop outlet (VSO) density. Many studies of TROs and neighborhood characteristics include only a small set of variables and also fail to take into account the correlation among these variables. Using a carefully curated database of all TROs and VSOs in Virginia (2016–2018), we developed a Bayesian model to estimate a neighborhood disadvantage index and examine its association with rates of outlets across census tracts while also accounting for correlations among variables. Models included 12 census tract variables from the American Community Survey. Results showed that increasing neighborhood disadvantage was associated with a 63% and 64% increase in TRO and VSO risk, respectively. Important variables associated with TRO rates included % renter occupied housing, inverse median gross rent, inverse median monthly housing costs, inverse median monthly housing costs, and % vacant housing units. Important variables associated with VSO rates were % renter occupied housing and % Hispanic population. There were several spatial clusters of significantly elevated risk for TROs and VSOs in western and eastern Virginia.

Suggested Citation

  • David C. Wheeler & Elizabeth K. Do & Rashelle B. Hayes & Kendall Fugate-Laus & Westley L. Fallavollita & Colleen Hughes & Bernard F. Fuemmeler, 2020. "Neighborhood Disadvantage and Tobacco Retail Outlet and Vape Shop Outlet Rates," IJERPH, MDPI, vol. 17(8), pages 1-12, April.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:8:p:2864-:d:348474
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    References listed on IDEAS

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    1. Kierstein, Alex JD & Barnes, Richard L. JD & Glantz, Stanton A. PhD, 2010. "The High Cost of Compromise: Tobacco Industry Political Influence and Tobacco Control Policy in Virginia, 1977-2009," University of California at San Francisco, Center for Tobacco Control Research and Education qt3gm9794g, Center for Tobacco Control Research and Education, UC San Francisco.
    2. John Geweke, 1991. "Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments," Staff Report 148, Federal Reserve Bank of Minneapolis.
    3. Hyland, A. & Travers, M.J. & Cummings, K.M. & Bauer, J. & Alford, T. & Wieczorek, W.F., 2003. "Demographics and tobacco outlet density [2]," American Journal of Public Health, American Public Health Association, vol. 93(11), pages 1794-1794.
    4. Sorensen, G. & Barbeau, E. & Hunt, M.K. & Emmons, K., 2004. "Reducing Social Disparities in Tobacco Use: A Social-Contextual Model for Reducing Tobacco Use among Blue-Collar Workers," American Journal of Public Health, American Public Health Association, vol. 94(2), pages 230-239.
    5. Hyland, A. & Travers, M.J. & Cummings, K.M. & Bauer, J. & Alford, T. & Wieczorek, W.F., 2003. "Tobacco Outlet Density and Demographics in Erie County, New York," American Journal of Public Health, American Public Health Association, vol. 93(7), pages 1075-1076.
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    Citations

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    Cited by:

    1. David C. Wheeler & Joseph Boyle & D. Jeremy Barsell & Trevin Glasgow & F. Joseph McClernon & Jason A. Oliver & Bernard F. Fuemmeler, 2022. "Spatially Varying Associations of Neighborhood Disadvantage with Alcohol and Tobacco Retail Outlet Rates," IJERPH, MDPI, vol. 19(9), pages 1-13, April.
    2. E. Melinda Mahabee-Gittens & Rebecca A. Vidourek & Keith A. King & Ashley L. Merianos, 2022. "Disparities in Neighborhood Characteristics among U.S. Children with Secondhand and Thirdhand Tobacco Smoke Exposure," IJERPH, MDPI, vol. 19(7), pages 1-13, April.
    3. Susana Addo Ntim & Bria Martin & Yasmin Termeh-Zonoozi, 2022. "Review of Use Prevalence, Susceptibility, Advertisement Exposure, and Access to Electronic Nicotine Delivery Systems among Minorities and Low-Income Populations in the United States," IJERPH, MDPI, vol. 19(20), pages 1-21, October.
    4. Krista Schroeder & Levent Dumenci & David B. Sarwer & Jennie G. Noll & Kevin A. Henry & Shakira F. Suglia & Christine M. Forke & David C. Wheeler, 2022. "The Intersection of Neighborhood Environment and Adverse Childhood Experiences: Methods for Creation of a Neighborhood ACEs Index," IJERPH, MDPI, vol. 19(13), pages 1-19, June.
    5. David C. Wheeler & Salem Rustom & Matthew Carli & Todd P. Whitehead & Mary H. Ward & Catherine Metayer, 2021. "Bayesian Group Index Regression for Modeling Chemical Mixtures and Cancer Risk," IJERPH, MDPI, vol. 18(7), pages 1-19, March.
    6. David C. Wheeler & Joseph Boyle & D. Jeremy Barsell & Trevin Glasgow & F. Joseph McClernon & Jason A. Oliver & Bernard F. Fuemmeler, 2022. "Associations of Alcohol and Tobacco Retail Outlet Rates with Neighborhood Disadvantage," IJERPH, MDPI, vol. 19(3), pages 1-13, January.

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