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社区烟草零售商密度的不平等与烟草销售药店和烟草店的存在。

Neighborhood Inequities in Tobacco Retailer Density and the Presence of Tobacco-Selling Pharmacies and Tobacco Shops.

机构信息

University of North Carolina, Chapel Hill, NC, USA.

出版信息

Health Educ Behav. 2022 Jun;49(3):478-487. doi: 10.1177/10901981211008390. Epub 2021 Apr 19.

Abstract

Studies document inequitable tobacco retailer density by neighborhood sociodemographics, but these findings may not be robust to different density measures. Policies to reduce density may be less equitable depending on how the presence of store types differs by neighborhood characteristics. We built a 2018 list of probable tobacco retailers in the United States and calculated four measures of density for all census tracts ( = 71,495), including total count, and number of retailers per 1,000 people, square mile, and kilometers of roadway. We fit multivariable regression models testing associations between each density measure and tract-level sociodemographics. We fit logistic regression models testing associations between sociodemographics and the presence of a tobacco-selling pharmacy or tobacco shop. Across all measures, tracts with a greater percentage of residents living below 150% of the federal poverty level (FPL) had higher density. A higher percentage of Black residents, Hispanic or Latino residents, and vacant housing was inconsistently associated with density across measures. Neighborhoods with a greater percentage of Black residents had a lower odds of having a pharmacy (adjusted odds ratio [a] = 0.96, 95% confidence interval [CI; 0.95, 0.97]) and tobacco shop (a = 0.87, CI [0.86, 0.89]), while those with a greater percentage of residents living below 150% FPL had greater odds of having a tobacco shop (a = 1.18, CI [1.16, 1.20]). Researchers and policymakers should consider how various measures of retailer density may capture different aspects of the environment. Furthermore, there may be an inequitable impact of retailer-specific policies on tobacco availability.

摘要

研究记录了邻里社会人口统计学特征导致的烟草零售商分布不均,但这些发现可能因不同的密度衡量标准而不稳定。减少密度的政策可能不太公平,这取决于商店类型的存在如何因邻里特征而异。我们构建了 2018 年美国可能的烟草零售商清单,并为所有普查区计算了四种密度衡量标准(=71495),包括总数、每千人、每平方英里和每公里道路的零售商数量。我们拟合了多变量回归模型,以检验每个密度衡量标准与区层面社会人口统计学之间的关联。我们拟合了逻辑回归模型,以检验社会人口统计学与烟草销售药店或烟草店存在之间的关联。在所有衡量标准中,居民中生活在联邦贫困线以下 150%的比例较高的区,密度也较高。黑人和西班牙裔或拉丁裔居民比例较高、住房空置率较高与各种衡量标准的密度不一致相关。黑人居民比例较高的社区拥有药店的可能性较低(调整后的优势比[a]=0.96,95%置信区间[CI;0.95,0.97])和烟草店(a=0.87,CI[0.86,0.89]),而生活在联邦贫困线以下 150%的居民比例较高的社区拥有烟草店的可能性较高(a=1.18,CI[1.16,1.20])。研究人员和政策制定者应考虑零售商密度的各种衡量标准可能如何捕捉环境的不同方面。此外,针对零售商的具体政策可能对烟草供应产生不公平的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9eb/9150137/39efbac9507a/10.1177_10901981211008390-fig1.jpg

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