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如何衡量学校周边的酒吧密度?两种基于缓冲区的方法比较。

How Can We Measure Alcohol Outlet Density Around Schools? A Comparison Between Two Buffer-Based Methods.

机构信息

Public Health and Epidemiology Research Group, School of Medicine, University of Alcalá, Campus Universitario - Crta. de Madrid-Barcelona, Km. 33,600. Alcalá de Henares, 28871, Madrid, Spain.

Department of Epidemiology & Biostatistics, Graduate School of Public Health & Health Policy, City University of New York, New York, NY, 10027, USA.

出版信息

J Urban Health. 2023 Jun;100(3):627-637. doi: 10.1007/s11524-023-00740-z. Epub 2023 Jun 23.

Abstract

Measuring the density of alcohol outlets around schools is a critical step towards understanding the drivers of drinking among adolescents. Different methodologies have been used in the literature for this purpose, but the implications of using one methodology or another have not been clearly assessed. Our aim was to compare different methods to measure alcohol outlet density and highlight under which characteristics of the environment might be best using each approach. We used Geographic Information Systems to geolocate schools (n = 576) and alcohol outlets (n = 21,732) in Madrid. We defined the density of alcohol outlets as the number of establishments within an area of 400 m around schools measured using two buffering methods: crow flies' and street network distances. We evaluated the agreement between both methods visually and through regression models, including street connectivity, population density, and density of recreational venues as predictors of disagreement. The density of alcohol outlets around schools was higher using crow flies' distances compared to street network distances. The differences between methodologies were wider in areas of higher density of outlets, especially in the downtown areas, where there are higher population density and street connectivity. Our results suggest that the spatial characteristics and morphology of the study area (e.g., street connectivity and population density) should be considered when deciding the methodology to be used to measure alcohol outlet density. Future studies should explore the implications of different exposure measures in their association with drinking prevalence and consumption patterns among different geographical contexts.

摘要

测量学校周围的酒吧密度是了解青少年饮酒原因的关键步骤。为此,文献中使用了不同的方法,但使用一种方法或另一种方法的影响尚未得到明确评估。我们的目的是比较不同的方法来测量酒精销售点密度,并强调在何种环境特征下,每种方法可能是最佳选择。我们使用地理信息系统定位马德里的学校(n=576)和酒吧(n=21732)。我们定义了学校周围 400 米范围内的酒吧密度,使用两种缓冲区方法(直线路径和街道网络距离)来测量:“直线路径”和“街道网络距离”。我们通过视觉和回归模型评估两种方法之间的一致性,包括街道连通性、人口密度和娱乐场所密度作为分歧的预测因素。与街道网络距离相比,使用直线路径测量学校周围的酒吧密度更高。方法之间的差异在销售点密度较高的区域更大,尤其是在市中心地区,那里人口密度和街道连通性更高。我们的研究结果表明,在决定使用哪种方法来测量酒精销售点密度时,应考虑研究区域的空间特征和形态(例如街道连通性和人口密度)。未来的研究应该探讨不同暴露测量方法在不同地理背景下与饮酒流行率和消费模式之间的关联的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17e6/10323074/9c95c95acf9e/11524_2023_740_Fig1_HTML.jpg

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