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Being overburdened and medically underserved: assessment of this double disparity for populations in the state of Maryland

BACKGROUND: Environmental justice research has shown that many communities of color and low-income persons are differentially burdened by noxious land uses including Toxic Release Inventory (TRI) facilities. However, limited work has been performed to assess how these populations tend to be both ove...

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Autores principales: Wilson, Sacoby, Zhang, Hongmei, Jiang, Chengsheng, Burwell, Kristen, Rehr, Rebecca, Murray, Rianna, Dalemarre, Laura, Naney, Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4021052/
https://www.ncbi.nlm.nih.gov/pubmed/24708780
http://dx.doi.org/10.1186/1476-069X-13-26
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author Wilson, Sacoby
Zhang, Hongmei
Jiang, Chengsheng
Burwell, Kristen
Rehr, Rebecca
Murray, Rianna
Dalemarre, Laura
Naney, Charles
author_facet Wilson, Sacoby
Zhang, Hongmei
Jiang, Chengsheng
Burwell, Kristen
Rehr, Rebecca
Murray, Rianna
Dalemarre, Laura
Naney, Charles
author_sort Wilson, Sacoby
collection PubMed
description BACKGROUND: Environmental justice research has shown that many communities of color and low-income persons are differentially burdened by noxious land uses including Toxic Release Inventory (TRI) facilities. However, limited work has been performed to assess how these populations tend to be both overburdened and medically underserved. We explored this “double disparity” for the first time in Maryland. METHODS: We assessed spatial disparities in the distribution of TRI facilities in Maryland across varying levels of sociodemographic composition using 2010 US Census Health Professional Shortage Area (HPSA) data. Univariate and multivariate regression in addition to geographic information systems (GIS) were used to examine relationships between sociodemographic measures and location of TRI facilities. Buffer analysis was also used to assess spatial disparities. Four buffer categories included: 1) census tracts hosting one or more TRI facilities; 2) tracts located more than 0 and up to 0.5 km from the closest TRI facility; 3) tracts located more than 0.5 km and up to 1 km from a TRI facility; and 4) tracts located more than 1 km and up to 5 km from a TRI facility. RESULTS: We found that tracts with higher proportions of non-white residents and people living in poverty were more likely to be closer to TRI facilities. A significant increase in income was observed with an increase in distance between a census tract and the closest TRI facility. In general, percent non-white was higher in HPSA tracts that host at least one TRI facility than in non-HPSA tracts that host at least one TRI facility. Additionally, percent poverty, unemployment, less than high school education, and homes built pre-1950 were higher in HPSA tracts hosting TRI facilities than in non-HPSA tracts hosting TRI facilities. CONCLUSIONS: We found that people of color and low-income groups are differentially burdened by TRI facilities in Maryland. We also found that both low-income groups and persons without a high school education are both overburdened and medically underserved. The results of this study provide insight into how state agencies can better address the double disparity of disproportionate environmental hazards and limited access to health care resources facing vulnerable communities in Maryland.
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spelling pubmed-40210522014-05-28 Being overburdened and medically underserved: assessment of this double disparity for populations in the state of Maryland Wilson, Sacoby Zhang, Hongmei Jiang, Chengsheng Burwell, Kristen Rehr, Rebecca Murray, Rianna Dalemarre, Laura Naney, Charles Environ Health Research BACKGROUND: Environmental justice research has shown that many communities of color and low-income persons are differentially burdened by noxious land uses including Toxic Release Inventory (TRI) facilities. However, limited work has been performed to assess how these populations tend to be both overburdened and medically underserved. We explored this “double disparity” for the first time in Maryland. METHODS: We assessed spatial disparities in the distribution of TRI facilities in Maryland across varying levels of sociodemographic composition using 2010 US Census Health Professional Shortage Area (HPSA) data. Univariate and multivariate regression in addition to geographic information systems (GIS) were used to examine relationships between sociodemographic measures and location of TRI facilities. Buffer analysis was also used to assess spatial disparities. Four buffer categories included: 1) census tracts hosting one or more TRI facilities; 2) tracts located more than 0 and up to 0.5 km from the closest TRI facility; 3) tracts located more than 0.5 km and up to 1 km from a TRI facility; and 4) tracts located more than 1 km and up to 5 km from a TRI facility. RESULTS: We found that tracts with higher proportions of non-white residents and people living in poverty were more likely to be closer to TRI facilities. A significant increase in income was observed with an increase in distance between a census tract and the closest TRI facility. In general, percent non-white was higher in HPSA tracts that host at least one TRI facility than in non-HPSA tracts that host at least one TRI facility. Additionally, percent poverty, unemployment, less than high school education, and homes built pre-1950 were higher in HPSA tracts hosting TRI facilities than in non-HPSA tracts hosting TRI facilities. CONCLUSIONS: We found that people of color and low-income groups are differentially burdened by TRI facilities in Maryland. We also found that both low-income groups and persons without a high school education are both overburdened and medically underserved. The results of this study provide insight into how state agencies can better address the double disparity of disproportionate environmental hazards and limited access to health care resources facing vulnerable communities in Maryland. BioMed Central 2014-04-04 /pmc/articles/PMC4021052/ /pubmed/24708780 http://dx.doi.org/10.1186/1476-069X-13-26 Text en Copyright © 2014 Wilson et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Wilson, Sacoby
Zhang, Hongmei
Jiang, Chengsheng
Burwell, Kristen
Rehr, Rebecca
Murray, Rianna
Dalemarre, Laura
Naney, Charles
Being overburdened and medically underserved: assessment of this double disparity for populations in the state of Maryland
title Being overburdened and medically underserved: assessment of this double disparity for populations in the state of Maryland
title_full Being overburdened and medically underserved: assessment of this double disparity for populations in the state of Maryland
title_fullStr Being overburdened and medically underserved: assessment of this double disparity for populations in the state of Maryland
title_full_unstemmed Being overburdened and medically underserved: assessment of this double disparity for populations in the state of Maryland
title_short Being overburdened and medically underserved: assessment of this double disparity for populations in the state of Maryland
title_sort being overburdened and medically underserved: assessment of this double disparity for populations in the state of maryland
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4021052/
https://www.ncbi.nlm.nih.gov/pubmed/24708780
http://dx.doi.org/10.1186/1476-069X-13-26
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