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Associations of Alcohol and Tobacco Retail Outlet Rates with Neighborhood Disadvantage

Author

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  • David C. Wheeler

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

  • Joseph Boyle

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

  • D. Jeremy Barsell

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

  • Trevin Glasgow

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

  • F. Joseph McClernon

    (Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC 27705, USA)

  • Jason A. Oliver

    (Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC 27705, USA
    Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
    Department of Psychiatry and Behavioral Sciences, Oklahoma State University Center for Health Sciences, Tulsa, OK 74107, USA)

  • Bernard F. Fuemmeler

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

Abstract

Tobacco causes 29% of cancer-related deaths while alcohol causes 5.5% of cancer-related deaths. Reducing the consumption of these cancer-causing products is a special priority area for the National Cancer Institute. While many factors are linked to tobacco and alcohol use, the placement and density of retail outlets within neighborhoods may be one community-level risk factor contributing to greater use of these products. To elucidate associations between tobacco, alcohol, and tobacco and alcohol retail outlets (TRO, ARO, and TARO) and neighborhood disadvantage over a large geographic area, we employed a novel Bayesian index modeling approach to estimate a neighborhood disadvantage index (NDI) and its associations with rates of the three types of retailers across block groups in the state of North Carolina. We used a novel extension of the Bayesian index model to include a shared component for the spatial pattern common to all three types of outlets and NDI effects that varied by outlet type. The shared component identifies areas that are elevated in risk for all outlets. The results showed significant positive associations between neighborhood disadvantage and TROs (relative risk (RR) = 1.12, 95% credible interval (CI = 1.09, 1.14)) and AROs (RR = 1.15, 95% CI = 1.11, 1.17), but the association was greatest for TAROs (RR = 1.21, 95% CI = 1.18, 1.24). The most important variables in the NDI were percent renters (i.e., low home ownership), percent of homes built before 1940 (i.e., old housing stock), and percent without a high school diploma (i.e., low education).

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1134-:d:729267
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    References listed on IDEAS

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    1. Shoff, Carla & Yang, Tse-Chuan, 2013. "Understanding maternal smoking during pregnancy: Does residential context matter?," Social Science & Medicine, Elsevier, vol. 78(C), pages 50-60.
    2. 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.
    3. Nelson, D.E. & Jarman, D.W. & Rehm, J. & Greenfield, T.K. & Rey, G. & Kerr, W.C. & Miller, P. & Shield, K.D. & Ye, Y. & Naimi, T.S., 2013. "Alcohol-attributable cancer deaths and years of potential life lost in the United States," American Journal of Public Health, American Public Health Association, vol. 103(4), pages 641-648.
    4. Berke, E.M. & Tanski, S.E. & Demidenko, E. & Alford-Teaster, J. & Shi, X. & Sargent, J.D., 2010. "Alcohol retail density and demographic predictors of health disparities: A geographic analysis," American Journal of Public Health, American Public Health Association, vol. 100(10), pages 1967-1971.
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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. 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.
    3. Brennan Davis & Cornelia Pechmann, 2023. "When Students Patronize Fast-Food Restaurants near School: The Effects of Identification with the Student Community, Social Activity Spaces and Social Liability Interventions," IJERPH, MDPI, vol. 20(5), pages 1-24, March.

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