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Access to public drinking water fountains in Berkeley, California: a geospatial analysis

BACKGROUND: In January 2015, Berkeley, California became the first city in the Unites States to impose a tax on sugar-sweetened beverages. The tax is intended to discourage purchase of sugary beverages and promote consumption of healthier alternatives such as tap water. The goal of the study was to...

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Autores principales: Avery, Dylan C., Smith, Charlotte D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5781327/
https://www.ncbi.nlm.nih.gov/pubmed/29361922
http://dx.doi.org/10.1186/s12889-018-5087-4
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author Avery, Dylan C.
Smith, Charlotte D.
author_facet Avery, Dylan C.
Smith, Charlotte D.
author_sort Avery, Dylan C.
collection PubMed
description BACKGROUND: In January 2015, Berkeley, California became the first city in the Unites States to impose a tax on sugar-sweetened beverages. The tax is intended to discourage purchase of sugary beverages and promote consumption of healthier alternatives such as tap water. The goal of the study was to assess the condition of public drinking water fountains and determine if there is a difference in access to clean, functioning fountains based on race or socio-economic status. METHODS: A mobile-GIS App was created to locate and collect data on existing drinking water fountains in Berkeley, CA. Demographic variables related to race and socio-economic status (SES) were acquired from the US Census – American Community Survey database. Disparities in access to, or condition of drinking water fountains relative to demographics was explored using spatial analyses. Spatial statistical-analysis was performed to estimate demographic characteristics of communities near the water fountains and logistic regression was used to examine the relationship between household median income or race and condition of fountain. RESULTS: Although most fountains were classified as functioning, some were dirty, clogged, or both dirty and clogged. No spatial relationships between demographic characteristics and fountain conditions were observed. DISCUSSION: All geo-located data and a series of maps were provided to the City of Berkeley and the public. CONCLUSIONS: The geo-database created as an outcome of this study is useful for prioritizing maintenance of existing fountains and planning the locations of future fountains. The methodologies used for this study could be applied to a wide variety of asset inventory and assessment projects such as clinics or pharmaceutical dispensaries, both in developed and developing countries.
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spelling pubmed-57813272018-02-06 Access to public drinking water fountains in Berkeley, California: a geospatial analysis Avery, Dylan C. Smith, Charlotte D. BMC Public Health Research Article BACKGROUND: In January 2015, Berkeley, California became the first city in the Unites States to impose a tax on sugar-sweetened beverages. The tax is intended to discourage purchase of sugary beverages and promote consumption of healthier alternatives such as tap water. The goal of the study was to assess the condition of public drinking water fountains and determine if there is a difference in access to clean, functioning fountains based on race or socio-economic status. METHODS: A mobile-GIS App was created to locate and collect data on existing drinking water fountains in Berkeley, CA. Demographic variables related to race and socio-economic status (SES) were acquired from the US Census – American Community Survey database. Disparities in access to, or condition of drinking water fountains relative to demographics was explored using spatial analyses. Spatial statistical-analysis was performed to estimate demographic characteristics of communities near the water fountains and logistic regression was used to examine the relationship between household median income or race and condition of fountain. RESULTS: Although most fountains were classified as functioning, some were dirty, clogged, or both dirty and clogged. No spatial relationships between demographic characteristics and fountain conditions were observed. DISCUSSION: All geo-located data and a series of maps were provided to the City of Berkeley and the public. CONCLUSIONS: The geo-database created as an outcome of this study is useful for prioritizing maintenance of existing fountains and planning the locations of future fountains. The methodologies used for this study could be applied to a wide variety of asset inventory and assessment projects such as clinics or pharmaceutical dispensaries, both in developed and developing countries. BioMed Central 2018-01-24 /pmc/articles/PMC5781327/ /pubmed/29361922 http://dx.doi.org/10.1186/s12889-018-5087-4 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 Research Article
Avery, Dylan C.
Smith, Charlotte D.
Access to public drinking water fountains in Berkeley, California: a geospatial analysis
title Access to public drinking water fountains in Berkeley, California: a geospatial analysis
title_full Access to public drinking water fountains in Berkeley, California: a geospatial analysis
title_fullStr Access to public drinking water fountains in Berkeley, California: a geospatial analysis
title_full_unstemmed Access to public drinking water fountains in Berkeley, California: a geospatial analysis
title_short Access to public drinking water fountains in Berkeley, California: a geospatial analysis
title_sort access to public drinking water fountains in berkeley, california: a geospatial analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5781327/
https://www.ncbi.nlm.nih.gov/pubmed/29361922
http://dx.doi.org/10.1186/s12889-018-5087-4
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