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Neighborhood Sociodemographic Effects on the Associations Between Long-term PM(2.5) Exposure and Cardiovascular Outcomes and Diabetes Mellitus
Exposure to PM(2.5) air pollution and neighborhood-level sociodemographic characteristics are associated with cardiovascular disease and possibly diabetes mellitus. However, the joint effect of sociodemographics and PM(2.5) on these outcomes is uncertain. METHODS: We examined whether clusters of soc...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6415293/ https://www.ncbi.nlm.nih.gov/pubmed/30882060 http://dx.doi.org/10.1097/EE9.0000000000000038 |
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author | Weaver, Anne M. McGuinn, Laura Neas, Lucas Mirowsky, Jaime Devlin, Robert B. Dhingra, Radhika Ward-Caviness, Cavin Cascio, Wayne E. Kraus, William E. Hauser, Elizabeth R. Di, Qian Schwartz, Joel Diaz-Sanchez, David |
author_facet | Weaver, Anne M. McGuinn, Laura Neas, Lucas Mirowsky, Jaime Devlin, Robert B. Dhingra, Radhika Ward-Caviness, Cavin Cascio, Wayne E. Kraus, William E. Hauser, Elizabeth R. Di, Qian Schwartz, Joel Diaz-Sanchez, David |
author_sort | Weaver, Anne M. |
collection | PubMed |
description | Exposure to PM(2.5) air pollution and neighborhood-level sociodemographic characteristics are associated with cardiovascular disease and possibly diabetes mellitus. However, the joint effect of sociodemographics and PM(2.5) on these outcomes is uncertain. METHODS: We examined whether clusters of sociodemographic characteristics modified effects of long-term PM(2.5) exposure on coronary artery disease (CAD), myocardial infarction (MI), hypertension, and diabetes mellitus. We used medical records data from 2,192 cardiac catheterization patients residing in North Carolina and assigned to one of six previously determined clusters. For each participant, we estimated annual PM(2.5) exposure at their primary residence using a hybrid model with a 1 km(2) resolution. We used logistic regression models adjusted for age, sex, body mass index, and smoking status to assess cluster-specific associations with PM(2.5) and to determine if there were interactions between cluster and PM(2.5) on outcomes. RESULTS: Compared with cluster 3 (OR = 0.93, 95% CI = 0.82, 1.07; urban, low proportion of black individuals and high socioeconomic status), we observed greater associations between PM(2.5) and hypertension in clusters 1 (OR = 1.22, 95% CI = 0.99, 1.50, P(int) 0.03) and 2 (OR = 1.64, 95% CI = 1.16–2.32, P(int) 0.003), which were urban, high proportion of black individuals, and low socioeconomic status. PM(2.5) was associated with MI (OR = 1.29, 95% CI = 1.16, 1.42) but not diabetes mellitus, regardless of cluster and was associated with CAD in cluster 3 (OR = 1.15, 95% CI = 1.00, 1.31) and overall (OR = 1.07, 95% CI = 0.98, 1.17). CONCLUSION: Areas of relative disadvantage have a stronger association between PM(2.5) and hypertension compared with areas of relative advantage. |
format | Online Article Text |
id | pubmed-6415293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-64152932020-02-01 Neighborhood Sociodemographic Effects on the Associations Between Long-term PM(2.5) Exposure and Cardiovascular Outcomes and Diabetes Mellitus Weaver, Anne M. McGuinn, Laura Neas, Lucas Mirowsky, Jaime Devlin, Robert B. Dhingra, Radhika Ward-Caviness, Cavin Cascio, Wayne E. Kraus, William E. Hauser, Elizabeth R. Di, Qian Schwartz, Joel Diaz-Sanchez, David Environ Epidemiol Original Research Exposure to PM(2.5) air pollution and neighborhood-level sociodemographic characteristics are associated with cardiovascular disease and possibly diabetes mellitus. However, the joint effect of sociodemographics and PM(2.5) on these outcomes is uncertain. METHODS: We examined whether clusters of sociodemographic characteristics modified effects of long-term PM(2.5) exposure on coronary artery disease (CAD), myocardial infarction (MI), hypertension, and diabetes mellitus. We used medical records data from 2,192 cardiac catheterization patients residing in North Carolina and assigned to one of six previously determined clusters. For each participant, we estimated annual PM(2.5) exposure at their primary residence using a hybrid model with a 1 km(2) resolution. We used logistic regression models adjusted for age, sex, body mass index, and smoking status to assess cluster-specific associations with PM(2.5) and to determine if there were interactions between cluster and PM(2.5) on outcomes. RESULTS: Compared with cluster 3 (OR = 0.93, 95% CI = 0.82, 1.07; urban, low proportion of black individuals and high socioeconomic status), we observed greater associations between PM(2.5) and hypertension in clusters 1 (OR = 1.22, 95% CI = 0.99, 1.50, P(int) 0.03) and 2 (OR = 1.64, 95% CI = 1.16–2.32, P(int) 0.003), which were urban, high proportion of black individuals, and low socioeconomic status. PM(2.5) was associated with MI (OR = 1.29, 95% CI = 1.16, 1.42) but not diabetes mellitus, regardless of cluster and was associated with CAD in cluster 3 (OR = 1.15, 95% CI = 1.00, 1.31) and overall (OR = 1.07, 95% CI = 0.98, 1.17). CONCLUSION: Areas of relative disadvantage have a stronger association between PM(2.5) and hypertension compared with areas of relative advantage. Wolters Kluwer Health 2019-02-12 /pmc/articles/PMC6415293/ /pubmed/30882060 http://dx.doi.org/10.1097/EE9.0000000000000038 Text en Copyright © 2018 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of Environmental Epidemiology. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially. |
spellingShingle | Original Research Weaver, Anne M. McGuinn, Laura Neas, Lucas Mirowsky, Jaime Devlin, Robert B. Dhingra, Radhika Ward-Caviness, Cavin Cascio, Wayne E. Kraus, William E. Hauser, Elizabeth R. Di, Qian Schwartz, Joel Diaz-Sanchez, David Neighborhood Sociodemographic Effects on the Associations Between Long-term PM(2.5) Exposure and Cardiovascular Outcomes and Diabetes Mellitus |
title | Neighborhood Sociodemographic Effects on the Associations Between Long-term PM(2.5) Exposure and Cardiovascular Outcomes and Diabetes Mellitus |
title_full | Neighborhood Sociodemographic Effects on the Associations Between Long-term PM(2.5) Exposure and Cardiovascular Outcomes and Diabetes Mellitus |
title_fullStr | Neighborhood Sociodemographic Effects on the Associations Between Long-term PM(2.5) Exposure and Cardiovascular Outcomes and Diabetes Mellitus |
title_full_unstemmed | Neighborhood Sociodemographic Effects on the Associations Between Long-term PM(2.5) Exposure and Cardiovascular Outcomes and Diabetes Mellitus |
title_short | Neighborhood Sociodemographic Effects on the Associations Between Long-term PM(2.5) Exposure and Cardiovascular Outcomes and Diabetes Mellitus |
title_sort | neighborhood sociodemographic effects on the associations between long-term pm(2.5) exposure and cardiovascular outcomes and diabetes mellitus |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6415293/ https://www.ncbi.nlm.nih.gov/pubmed/30882060 http://dx.doi.org/10.1097/EE9.0000000000000038 |
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