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Using Geographic Information Science to Explore Associations between Air Pollution, Environmental Amenities, and Preterm Births
The study uses geographic information science (GIS) and statistics to find out if there are statistical differences between full term and preterm births to non-Hispanic white, non-Hispanic Black, and Hispanic mothers in their exposure to air pollution and access to environmental amenities (green spa...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AIMS Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690245/ https://www.ncbi.nlm.nih.gov/pubmed/29546120 http://dx.doi.org/10.3934/publichealth.2015.3.469 |
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author | Ogneva-Himmelberger, Yelena Dahlberg, Tyler Kelly, Kristen Simas, Tiffany A. Moore |
author_facet | Ogneva-Himmelberger, Yelena Dahlberg, Tyler Kelly, Kristen Simas, Tiffany A. Moore |
author_sort | Ogneva-Himmelberger, Yelena |
collection | PubMed |
description | The study uses geographic information science (GIS) and statistics to find out if there are statistical differences between full term and preterm births to non-Hispanic white, non-Hispanic Black, and Hispanic mothers in their exposure to air pollution and access to environmental amenities (green space and vendors of healthy food) in the second largest city in New England, Worcester, Massachusetts. Proximity to a Toxic Release Inventory site has a statistically significant effect on preterm birth regardless of race. The air-pollution hazard score from the Risk Screening Environmental Indicators Model is also a statistically significant factor when preterm births are categorized into three groups based on the degree of prematurity. Proximity to green space and to a healthy food vendor did not have an effect on preterm births. The study also used cluster analysis and found statistically significant spatial clusters of high preterm birth volume for non-Hispanic white, non-Hispanic Black, and Hispanic mothers. |
format | Online Article Text |
id | pubmed-5690245 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | AIMS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-56902452018-03-15 Using Geographic Information Science to Explore Associations between Air Pollution, Environmental Amenities, and Preterm Births Ogneva-Himmelberger, Yelena Dahlberg, Tyler Kelly, Kristen Simas, Tiffany A. Moore AIMS Public Health Research Article The study uses geographic information science (GIS) and statistics to find out if there are statistical differences between full term and preterm births to non-Hispanic white, non-Hispanic Black, and Hispanic mothers in their exposure to air pollution and access to environmental amenities (green space and vendors of healthy food) in the second largest city in New England, Worcester, Massachusetts. Proximity to a Toxic Release Inventory site has a statistically significant effect on preterm birth regardless of race. The air-pollution hazard score from the Risk Screening Environmental Indicators Model is also a statistically significant factor when preterm births are categorized into three groups based on the degree of prematurity. Proximity to green space and to a healthy food vendor did not have an effect on preterm births. The study also used cluster analysis and found statistically significant spatial clusters of high preterm birth volume for non-Hispanic white, non-Hispanic Black, and Hispanic mothers. AIMS Press 2015-08-06 /pmc/articles/PMC5690245/ /pubmed/29546120 http://dx.doi.org/10.3934/publichealth.2015.3.469 Text en © 2015 Yelena Ogneva-Himmelberger et al., licensee AIMS Press This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) |
spellingShingle | Research Article Ogneva-Himmelberger, Yelena Dahlberg, Tyler Kelly, Kristen Simas, Tiffany A. Moore Using Geographic Information Science to Explore Associations between Air Pollution, Environmental Amenities, and Preterm Births |
title | Using Geographic Information Science to Explore Associations between Air Pollution, Environmental Amenities, and Preterm Births |
title_full | Using Geographic Information Science to Explore Associations between Air Pollution, Environmental Amenities, and Preterm Births |
title_fullStr | Using Geographic Information Science to Explore Associations between Air Pollution, Environmental Amenities, and Preterm Births |
title_full_unstemmed | Using Geographic Information Science to Explore Associations between Air Pollution, Environmental Amenities, and Preterm Births |
title_short | Using Geographic Information Science to Explore Associations between Air Pollution, Environmental Amenities, and Preterm Births |
title_sort | using geographic information science to explore associations between air pollution, environmental amenities, and preterm births |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690245/ https://www.ncbi.nlm.nih.gov/pubmed/29546120 http://dx.doi.org/10.3934/publichealth.2015.3.469 |
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