Sociodemographic Disparities in the Tobacco Retail Environment in Washington, DC: A Spatial Perspective.
Disparities
Point-of-Sale
Retail Density
Tobacco
Journal
Ethnicity & disease
ISSN: 1945-0826
Titre abrégé: Ethn Dis
Pays: United States
ID NLM: 9109034
Informations de publication
Date de publication:
2020
2020
Historique:
entrez:
4
8
2020
pubmed:
4
8
2020
medline:
7
4
2021
Statut:
epublish
Résumé
Studies assessing sociodemographic disparities in the tobacco retail environment have relied heavily on non-spatial analytical techniques, resulting in potentially misleading conclusions. We utilized a spatial analytical framework to evaluate neighborhood sociodemographic disparities in the tobacco retail environment in Washington, DC (DC) and the DC metropolitan statistical area (DC MSA). Retail tobacco availability for DC (n=177) and DC MSA (n=1,428) census tract was assessed using adaptive-bandwidth kernel density estimation. Density surfaces were constructed from DC (n=743) and DC MSA (n=4,539) geocoded tobacco retailers. Sociodemographics were obtained from the 2011-2015 American Community Survey. Spearman's correlations between sociodemographics and retail density were computed to account for spatial autocorrelation. Bivariate and multivariate spatial lag models were fit to predict retail density. DC and DC MSA neighborhoods with a higher percentage of Hispanics were positively correlated with retail density (rho = .3392, P = .0001 and rho = .1191, P = .0000, respectively). DC neighborhoods with a higher percentage of African Americans were negatively correlated with retail density (rho = -.3774, P = .0000). This pattern was not significant in DC MSA neighborhoods. Bivariate and multivariate spatial lag models found a significant inverse relationship between the percentage of African Americans and retail density (Beta = -.0133, P = .0181 and Beta = -.0165, P = .0307, respectively). Associations between neighborhood sociodemographics and retail density were significant, although findings regarding African Americans are inconsistent with previous findings. Future studies should analyze other geographic areas, and account for spatial autocorrelation within their analytic framework.
Identifiants
pubmed: 32742153
doi: 10.18865/ed.30.3.479
pii: ed.30.3.479
pmc: PMC7360184
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
479-488Informations de copyright
Copyright © 2020, Ethnicity & Disease, Inc.
Déclaration de conflit d'intérêts
Competing Interests: None declared.
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