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The Association of Long-Term Exposure to Particulate Matter Air Pollution with Brain MRI Findings: The ARIC Study
BACKGROUND: Increasing evidence links higher particulate matter (PM) air pollution exposure to late-life cognitive impairment. However, few studies have considered associations between direct estimates of long-term past exposures and brain MRI findings indicative of neurodegeneration or cerebrovascu...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Environmental Health Perspectives
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6066342/ https://www.ncbi.nlm.nih.gov/pubmed/29467108 http://dx.doi.org/10.1289/EHP2152 |
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author | Power, Melinda C. Lamichhane, Archana P. Liao, Duanping Xu, Xiaohui Jack, Clifford R. Gottesman, Rebecca F. Mosley, Thomas Stewart, James D. Yanosky, Jeff D. Whitsel, Eric A. |
author_facet | Power, Melinda C. Lamichhane, Archana P. Liao, Duanping Xu, Xiaohui Jack, Clifford R. Gottesman, Rebecca F. Mosley, Thomas Stewart, James D. Yanosky, Jeff D. Whitsel, Eric A. |
author_sort | Power, Melinda C. |
collection | PubMed |
description | BACKGROUND: Increasing evidence links higher particulate matter (PM) air pollution exposure to late-life cognitive impairment. However, few studies have considered associations between direct estimates of long-term past exposures and brain MRI findings indicative of neurodegeneration or cerebrovascular disease. OBJECTIVE: Our objective was to quantify the association between brain MRI findings and PM exposures approximately 5 to 20 y prior to MRI in the Atherosclerosis Risk in Communities (ARIC) study. METHODS: ARIC is based in four U.S. sites: Washington County, Maryland; Minneapolis suburbs, Minnesota; Forsyth County, North Carolina; and Jackson, Mississippi. A subset of ARIC participants underwent 3T brain MRI in 2011–2013 ([Formula: see text]). We estimated mean exposures to PM with an aerodynamic diameter less than 10 or [Formula: see text] ([Formula: see text] and [Formula: see text]) in 1990–1998, 1999–2007, and 1990–2007 at the residential addresses of eligible participants with MRI data. We estimated site-specific associations between PM and brain MRI findings and used random-effect, inverse variance–weighted meta-analysis to combine them. RESULTS: In pooled analyses, higher mean [Formula: see text] and [Formula: see text] exposure in all time periods were associated with smaller deep-gray brain volumes, but not other MRI markers. Higher [Formula: see text] exposures were consistently associated with smaller total and regional brain volumes in Minnesota, but not elsewhere. CONCLUSIONS: Long-term past PM exposure in was not associated with markers of cerebrovascular disease. Higher long-term past PM exposures were associated with smaller deep-gray volumes overall, and higher [Formula: see text] exposures were associated with smaller brain volumes in the Minnesota site. Further work is needed to understand the sources of heterogeneity across sites. https://doi.org/10.1289/EHP2152 |
format | Online Article Text |
id | pubmed-6066342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Environmental Health Perspectives |
record_format | MEDLINE/PubMed |
spelling | pubmed-60663422018-07-31 The Association of Long-Term Exposure to Particulate Matter Air Pollution with Brain MRI Findings: The ARIC Study Power, Melinda C. Lamichhane, Archana P. Liao, Duanping Xu, Xiaohui Jack, Clifford R. Gottesman, Rebecca F. Mosley, Thomas Stewart, James D. Yanosky, Jeff D. Whitsel, Eric A. Environ Health Perspect Research BACKGROUND: Increasing evidence links higher particulate matter (PM) air pollution exposure to late-life cognitive impairment. However, few studies have considered associations between direct estimates of long-term past exposures and brain MRI findings indicative of neurodegeneration or cerebrovascular disease. OBJECTIVE: Our objective was to quantify the association between brain MRI findings and PM exposures approximately 5 to 20 y prior to MRI in the Atherosclerosis Risk in Communities (ARIC) study. METHODS: ARIC is based in four U.S. sites: Washington County, Maryland; Minneapolis suburbs, Minnesota; Forsyth County, North Carolina; and Jackson, Mississippi. A subset of ARIC participants underwent 3T brain MRI in 2011–2013 ([Formula: see text]). We estimated mean exposures to PM with an aerodynamic diameter less than 10 or [Formula: see text] ([Formula: see text] and [Formula: see text]) in 1990–1998, 1999–2007, and 1990–2007 at the residential addresses of eligible participants with MRI data. We estimated site-specific associations between PM and brain MRI findings and used random-effect, inverse variance–weighted meta-analysis to combine them. RESULTS: In pooled analyses, higher mean [Formula: see text] and [Formula: see text] exposure in all time periods were associated with smaller deep-gray brain volumes, but not other MRI markers. Higher [Formula: see text] exposures were consistently associated with smaller total and regional brain volumes in Minnesota, but not elsewhere. CONCLUSIONS: Long-term past PM exposure in was not associated with markers of cerebrovascular disease. Higher long-term past PM exposures were associated with smaller deep-gray volumes overall, and higher [Formula: see text] exposures were associated with smaller brain volumes in the Minnesota site. Further work is needed to understand the sources of heterogeneity across sites. https://doi.org/10.1289/EHP2152 Environmental Health Perspectives 2018-02-16 /pmc/articles/PMC6066342/ /pubmed/29467108 http://dx.doi.org/10.1289/EHP2152 Text en EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted. |
spellingShingle | Research Power, Melinda C. Lamichhane, Archana P. Liao, Duanping Xu, Xiaohui Jack, Clifford R. Gottesman, Rebecca F. Mosley, Thomas Stewart, James D. Yanosky, Jeff D. Whitsel, Eric A. The Association of Long-Term Exposure to Particulate Matter Air Pollution with Brain MRI Findings: The ARIC Study |
title | The Association of Long-Term Exposure to Particulate Matter Air Pollution with Brain MRI Findings: The ARIC Study |
title_full | The Association of Long-Term Exposure to Particulate Matter Air Pollution with Brain MRI Findings: The ARIC Study |
title_fullStr | The Association of Long-Term Exposure to Particulate Matter Air Pollution with Brain MRI Findings: The ARIC Study |
title_full_unstemmed | The Association of Long-Term Exposure to Particulate Matter Air Pollution with Brain MRI Findings: The ARIC Study |
title_short | The Association of Long-Term Exposure to Particulate Matter Air Pollution with Brain MRI Findings: The ARIC Study |
title_sort | association of long-term exposure to particulate matter air pollution with brain mri findings: the aric study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6066342/ https://www.ncbi.nlm.nih.gov/pubmed/29467108 http://dx.doi.org/10.1289/EHP2152 |
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