Associations of Alcohol and Tobacco Retail Outlet Rates with Neighborhood Disadvantage

Datos Bibliográficos

ID15478641
AutoresDavid C Wheeler (0000-0001-8121-5182, Virginia Commonwealth University, autor de correspondencia), Joseph Boyle (0000-0002-1411-5584, Virginia Commonwealth University), Duc-Thi Jeremy Barsell (0000-0003-4641-9176, Virginia Commonwealth University), D Jeremy Barsell (Virginia Commonwealth University), T Glasgow (0000-0003-2720-3425, Virginia Commonwealth University), F Joseph McClernon (0000-0002-2846-980X, Duke University), Jason A Oliver (0000-0003-4615-9108, Duke University), Bernard F Fuemmeler (0000-0002-3550-0107, Virginia Commonwealth University)
Año2022
Volumen19
Número3
Páginas1134-1134
Fecha de publicación2022-01-20
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19031134
PMID35162162
OpenAlexW4205984669
IdiomaEN
Citas recibidas11
Referencias citadas26

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)

Confidence interval · Disadvantage · Environmental health · Geography · Index (typography · Relative risk · Computer Science · Data-Driven Disease Surveillance · Demography · Medicine · Smoking Behavior and Cessation · Spatial and Panel Data Analysis