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How Can We Measure Alcohol Outlet Density Around Schools? A Comparison Between Two Buffer-Based Methods
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 assess...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323074/ https://www.ncbi.nlm.nih.gov/pubmed/37351726 http://dx.doi.org/10.1007/s11524-023-00740-z |
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author | Martín-Turrero, Irene Sureda, Xisca Escobar, Francisco Bilal, Usama Berasaluce, Maitane Valiente, Roberto |
author_facet | Martín-Turrero, Irene Sureda, Xisca Escobar, Francisco Bilal, Usama Berasaluce, Maitane Valiente, Roberto |
author_sort | Martín-Turrero, Irene |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11524-023-00740-z. |
format | Online Article Text |
id | pubmed-10323074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-103230742023-07-07 How Can We Measure Alcohol Outlet Density Around Schools? A Comparison Between Two Buffer-Based Methods Martín-Turrero, Irene Sureda, Xisca Escobar, Francisco Bilal, Usama Berasaluce, Maitane Valiente, Roberto J Urban Health Original Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11524-023-00740-z. Springer US 2023-06-23 2023-06 /pmc/articles/PMC10323074/ /pubmed/37351726 http://dx.doi.org/10.1007/s11524-023-00740-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Martín-Turrero, Irene Sureda, Xisca Escobar, Francisco Bilal, Usama Berasaluce, Maitane Valiente, Roberto How Can We Measure Alcohol Outlet Density Around Schools? A Comparison Between Two Buffer-Based Methods |
title | How Can We Measure Alcohol Outlet Density Around Schools? A Comparison Between Two Buffer-Based Methods |
title_full | How Can We Measure Alcohol Outlet Density Around Schools? A Comparison Between Two Buffer-Based Methods |
title_fullStr | How Can We Measure Alcohol Outlet Density Around Schools? A Comparison Between Two Buffer-Based Methods |
title_full_unstemmed | How Can We Measure Alcohol Outlet Density Around Schools? A Comparison Between Two Buffer-Based Methods |
title_short | How Can We Measure Alcohol Outlet Density Around Schools? A Comparison Between Two Buffer-Based Methods |
title_sort | how can we measure alcohol outlet density around schools? a comparison between two buffer-based methods |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323074/ https://www.ncbi.nlm.nih.gov/pubmed/37351726 http://dx.doi.org/10.1007/s11524-023-00740-z |
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