文章基本信息

标题：The Association of Long-Term Exposure to Particulate Matter Air Pollution with Brain MRI Findings: The ARIC Study
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作者：Melinda C. Power ; Archana P. Lamichhane ; Duanping Liao 等
期刊名称：Environmental Health Perspectives
印刷版ISSN：0091-6765
电子版ISSN：1552-9924
出版年度：2018
卷号：126
期号：2
页码：027009
DOI：10.1289/EHP2152
语种：English
出版社：OCR Subscription Services Inc
摘要：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 ( n = 1,753 ). We estimated mean exposures to PM with an aerodynamic diameter less than 10 or 2.5 μm (PM₁₀ and PM_2.5) 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 PM_2.5 and PM₁₀ exposure in all time periods were associated with smaller deep-gray brain volumes, but not other MRI markers. Higher PM_2.5 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 PM_2.5 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