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Quantifying spatial accessibility in public health practice and research: an application to on-premise alcohol outlets, United States, 2013
OBJECTIVE: To assess spatial accessibility measures to on-premise alcohol outlets at census block, census tract, county, and state levels for the United States. METHODS: Using network analysis in a geographic information system, we computed distance-based measures (Euclidean distance, driving distan...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020393/ https://www.ncbi.nlm.nih.gov/pubmed/29945619 http://dx.doi.org/10.1186/s12942-018-0143-y |
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author | Lu, Hua Zhang, Xingyou Holt, James B. Kanny, Dafna Croft, Janet B. |
author_facet | Lu, Hua Zhang, Xingyou Holt, James B. Kanny, Dafna Croft, Janet B. |
author_sort | Lu, Hua |
collection | PubMed |
description | OBJECTIVE: To assess spatial accessibility measures to on-premise alcohol outlets at census block, census tract, county, and state levels for the United States. METHODS: Using network analysis in a geographic information system, we computed distance-based measures (Euclidean distance, driving distance, and driving time) to on-premise alcohol outlets for the entire U.S. at the census block level. We then calculated spatial access-based measures, specifically a population-weighted spatial accessibility index and population-weighted distances (Euclidean distance, driving distance, and driving time) to alcohol outlets at the census tract, county, and state levels. A multilevel model-based sensitivity analysis was conducted to evaluate the associations between different on-premise alcohol outlet accessibility measures and excessive drinking outcomes. RESULTS: The national average population-weighted driving time to the nearest 7 on-premise alcohol outlets was 5.89 min, and the average population-weighted driving distance was 2.63 miles. At the state level, population-weighted driving times ranged from 1.67 min (DC) to 15.29 min (Arizona). Population-weighted driving distances ranged from 0.67 miles (DC) to 7.91 miles (Arkansas). At the county level, population-weighted driving times and distances exhibited significant geographic variations, and averages for both measures increased by the degree of county rurality. The population-weighted spatial accessibility indexes were highly correlated to respective population-weighted distance measures. Sensitivity analysis demonstrated that population weighted accessibility measures were more sensitive to excessive drinking outcomes than were population weighted distance measures. CONCLUSIONS: These results can be used to assess the relationship between geographic access to on-premise alcohol outlets and health outcomes. This study demonstrates a flexible and robust method that can be applied or modified to quantify spatial accessibility to public resources such as healthy food stores, medical care providers, and parks and greenspaces, as well as, quantify spatial exposure to local adverse environments such as tobacco stores and fast food restaurants. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12942-018-0143-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6020393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60203932018-07-06 Quantifying spatial accessibility in public health practice and research: an application to on-premise alcohol outlets, United States, 2013 Lu, Hua Zhang, Xingyou Holt, James B. Kanny, Dafna Croft, Janet B. Int J Health Geogr Methodology OBJECTIVE: To assess spatial accessibility measures to on-premise alcohol outlets at census block, census tract, county, and state levels for the United States. METHODS: Using network analysis in a geographic information system, we computed distance-based measures (Euclidean distance, driving distance, and driving time) to on-premise alcohol outlets for the entire U.S. at the census block level. We then calculated spatial access-based measures, specifically a population-weighted spatial accessibility index and population-weighted distances (Euclidean distance, driving distance, and driving time) to alcohol outlets at the census tract, county, and state levels. A multilevel model-based sensitivity analysis was conducted to evaluate the associations between different on-premise alcohol outlet accessibility measures and excessive drinking outcomes. RESULTS: The national average population-weighted driving time to the nearest 7 on-premise alcohol outlets was 5.89 min, and the average population-weighted driving distance was 2.63 miles. At the state level, population-weighted driving times ranged from 1.67 min (DC) to 15.29 min (Arizona). Population-weighted driving distances ranged from 0.67 miles (DC) to 7.91 miles (Arkansas). At the county level, population-weighted driving times and distances exhibited significant geographic variations, and averages for both measures increased by the degree of county rurality. The population-weighted spatial accessibility indexes were highly correlated to respective population-weighted distance measures. Sensitivity analysis demonstrated that population weighted accessibility measures were more sensitive to excessive drinking outcomes than were population weighted distance measures. CONCLUSIONS: These results can be used to assess the relationship between geographic access to on-premise alcohol outlets and health outcomes. This study demonstrates a flexible and robust method that can be applied or modified to quantify spatial accessibility to public resources such as healthy food stores, medical care providers, and parks and greenspaces, as well as, quantify spatial exposure to local adverse environments such as tobacco stores and fast food restaurants. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12942-018-0143-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-27 /pmc/articles/PMC6020393/ /pubmed/29945619 http://dx.doi.org/10.1186/s12942-018-0143-y Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Lu, Hua Zhang, Xingyou Holt, James B. Kanny, Dafna Croft, Janet B. Quantifying spatial accessibility in public health practice and research: an application to on-premise alcohol outlets, United States, 2013 |
title | Quantifying spatial accessibility in public health practice and research: an application to on-premise alcohol outlets, United States, 2013 |
title_full | Quantifying spatial accessibility in public health practice and research: an application to on-premise alcohol outlets, United States, 2013 |
title_fullStr | Quantifying spatial accessibility in public health practice and research: an application to on-premise alcohol outlets, United States, 2013 |
title_full_unstemmed | Quantifying spatial accessibility in public health practice and research: an application to on-premise alcohol outlets, United States, 2013 |
title_short | Quantifying spatial accessibility in public health practice and research: an application to on-premise alcohol outlets, United States, 2013 |
title_sort | quantifying spatial accessibility in public health practice and research: an application to on-premise alcohol outlets, united states, 2013 |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020393/ https://www.ncbi.nlm.nih.gov/pubmed/29945619 http://dx.doi.org/10.1186/s12942-018-0143-y |
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