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描述吸烟状况与烟草零售暴露之间的空间关系:对政策制定和评估的启示。

Characterizing the spatial relationship between smoking status and tobacco retail exposure: Implications for policy development and evaluation.

机构信息

Value Institute, Christiana Care Health System, Newark, DE, United States.

Value Institute, Christiana Care Health System, Newark, DE, United States; Helen F. Graham Cancer Center & Research Institute, Christiana Care Health System, Newark, DE, United States.

出版信息

Health Place. 2021 Mar;68:102530. doi: 10.1016/j.healthplace.2021.102530. Epub 2021 Feb 17.

Abstract

Tobacco retail density and smoking prevalence remain elevated in marginalized communities, underscoring the need for strategies to address these place-based disparities. The spatial variation of smokers and tobacco retailers is often measured by aggregating them to area-level units (e.g., census tracts), but spatial statistical methods that use point-level data, such as spatial intensity and K-functions, can better describe their geographic patterns. We applied these methods to a case study in New Castle County, DE to characterize the cross-sectional spatial relationship between tobacco retailers and smokers, finding that current smokers experience greater tobacco retail exposure and clustering relative to former smokers. We discuss how analysis at different geographic scales can provide complementary insights for tobacco control policy.

摘要

烟草零售密度和吸烟率在边缘化社区仍然居高不下,这突显了需要采取策略来解决这些基于地点的差异。通常通过将吸烟者和烟草零售商聚集到区域级别单位(例如,人口普查区)来衡量它们的空间变化,但使用点级数据的空间统计方法,如空间强度和 K 函数,可以更好地描述它们的地理模式。我们将这些方法应用于特拉华州纽卡斯尔县的案例研究,以描述烟草零售商和吸烟者之间的横断面空间关系,发现当前吸烟者相对于前吸烟者经历了更大的烟草零售暴露和聚集。我们讨论了在不同地理尺度上进行分析如何为烟草控制政策提供互补的见解。

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引用本文的文献

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Retailer density reduction approaches to tobacco control: A review.零售商密度降低方法在烟草控制中的应用:综述。
Health Place. 2021 Jan;67:102342. doi: 10.1016/j.healthplace.2020.102342. Epub 2020 Apr 27.

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