Department of Geology, Geography and Environmental Sciences, University of Alcalá, Alcalá de Henares, Madrid, Spain.
Public Health and Epidemiology Research Group, School of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain.
Nicotine Tob Res. 2021 Aug 4;23(8):1263-1273. doi: 10.1093/ntr/ntaa223.
To review the geographic exposure measures used to characterize the tobacco environment in terms of density of tobacco outlets and proximity to tobacco outlets, and its association with smoking-related outcomes.
We used PubMed and Google Scholar to find articles published until December 2019. The search was restricted to studies that (1) measured the density of and/or proximity to tobacco outlets and (2) included associations with smoking outcomes. The extraction was coordinated by several observers. We gathered data on the place of exposure, methodological approaches, and smoking outcomes.
Forty articles were eligible out of 3002 screened papers. Different density and proximity measures were described. 47.4% density calculations were based on simple counts (number of outlets within an area). Kernel density estimations and other measures weighted by the size of the area (outlets per square kilometer), population, and road length were identified. 81.3% of the articles which assessed proximity to tobacco outlets used length distances estimated through the street network. Higher density values were mostly associated with higher smoking prevalence (76.2%), greater tobacco use and smoking initiation (64.3%), and lower cessation outcomes (84.6%). Proximity measures were not associated with any smoking outcome except with cessation (62.5%).
Associations between the density of tobacco outlets and smoking outcomes were found regardless of the exposure measure applied. Further research is warranted to better understand how proximity to tobacco outlets may influence the smoking outcomes. This systematic review discusses methodological gaps in the literature and provides insights for future studies exploring the tobacco environment.
Our findings pose some methodological lessons to improve the exposure measures on the tobacco outlet environment. Solving these methodological gaps is crucial to understand the influence of the tobacco environment on the smoking outcomes. Activity spaces should be considered in further analyses because individuals are exposed to tobacco beyond their residence or school neighborhood. Further studies in this research area demand density estimations weighted by the size of the area, population, or road length, or measured using Kernel density estimations. Proximity calculations should be measured through the street network and should consider travel times apart from the length distance.
本文回顾了用于描述烟草环境的地理位置暴露测量方法,包括烟草零售店的密度和与烟草零售店的距离,并探讨了其与吸烟相关结果之间的关联。
我们使用 PubMed 和 Google Scholar 检索截至 2019 年 12 月发表的文章。检索限制为(1)测量烟草零售店的密度和/或距离,以及(2)包含与吸烟结果相关的研究。多位观察者协调了数据提取工作。我们收集了有关暴露地点、方法学方法和吸烟结果的数据。
从 3002 篇筛选出的论文中,有 40 篇符合纳入标准。描述了不同的密度和接近度测量方法。47.4%的密度计算基于简单计数(特定区域内的零售店数量)。还确定了基于面积(每平方公里零售店数量)、人口和道路长度进行加权的核密度估计和其他测量方法。81.3%评估烟草零售店接近度的文章使用通过街道网络估计的长度距离。较高的密度值与较高的吸烟率(76.2%)、更大的烟草使用和吸烟开始(64.3%)以及较低的戒烟结果(84.6%)相关。除了与戒烟(62.5%)相关外,接近度测量与任何吸烟结果均无关。
无论应用何种暴露测量方法,烟草零售店的密度与吸烟结果之间均存在关联。需要进一步研究以更好地了解烟草零售店的接近度如何影响吸烟结果。本系统综述讨论了文献中的方法学差距,并为探索烟草环境的未来研究提供了见解。
我们的研究结果为改善烟草环境暴露测量提供了一些方法学经验教训。解决这些方法学差距对于理解烟草环境对吸烟结果的影响至关重要。在进一步的分析中应考虑活动空间,因为个人的吸烟暴露不仅限于其居住地或学校附近。该研究领域的进一步研究需要使用加权面积、人口或道路长度的密度估计值,或使用核密度估计值进行测量来进行密度估计。接近度计算应通过街道网络进行测量,并应考虑除长度距离外的旅行时间。