{"id":2642,"date":"2018-06-25T16:23:47","date_gmt":"2018-06-25T16:23:47","guid":{"rendered":"http:\/\/canue.ca\/?p=2642"},"modified":"2018-06-25T16:23:47","modified_gmt":"2018-06-25T16:23:47","slug":"june-25-2018","status":"publish","type":"post","link":"https:\/\/canue.ca\/fr\/june-25-2018\/","title":{"rendered":"June 25 | 2018"},"content":{"rendered":"

The Association of Long-Term Exposure to Particulate Matter Air Pollution with Brain MRI Findings: The ARIC Study<\/h3>\n

Melinda C. Power, Archana P. Lamichhane,\u00a0Duanping Liao,\u00a0Xiaohui Xu,\u00a0Clifford R. Jack Jr.,\u00a0Rebecca F. Gottesman,\u00a0Thomas Mosley,\u00a0James D. Stewart,\u00a0Jeff D. Yanosky,\u00a0and Eric A. Whitsel<\/strong><\/p>\n

Environ Health Perspect<\/em>; February 2018 Vol 126 Issue 2. https:\/\/doi.org\/10.1289\/EHP2152<\/a><\/p>\n

Abstract<\/strong><\/p>\n

BACKGROUND: <\/strong>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.<\/p>\n

OBJECTIVE: <\/strong>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.<\/p>\n

METHODS: <\/strong>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\u20132013 (n<\/em>=1,753). We estimated mean exposures to PM with an aerodynamic diameter less than 10 or\u00a02.5\u03bcm\u00a0(PM10<\/sub>\u00a0and\u00a0PM2.5<\/sub>) in 1990\u20131998, 1999\u20132007, and 1990\u20132007 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\u2013weighted meta-analysis to combine them.<\/p>\n

RESULTS: <\/strong>In pooled analyses, higher mean\u00a0PM2.5<\/sub>\u00a0and\u00a0PM10<\/sub>\u00a0exposure in all time periods were associated with smaller deep-gray brain volumes, but not other MRI markers. Higher\u00a0PM2.5<\/sub>\u00a0exposures were consistently associated with smaller total and regional brain volumes in Minnesota, but not elsewhere.<\/p>\n

CONCLUSIONS: <\/strong>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\u00a0PM2.5<\/sub>\u00a0exposures were associated with smaller brain volumes in the Minnesota site. Further work is needed to understand the sources of heterogeneity across sites.<\/p>\n","protected":false},"excerpt":{"rendered":"

The Association of Long-Term Exposure to Particulate Matter Air Pollution with Brain MRI Findings: The ARIC Study
\nMelinda C. Power, Archana P. Lamichhane,\u00a0Duanping Liao,\u00a0Xiaohui Xu,\u00a0Clifford R. Jack Jr.,\u00a0Rebecca F. Gottesman,\u00a0Thomas Mosley,\u00a0James D. Stewart,\u00a0Jeff D. Yanosky,\u00a0and Eric A. Whitsel<\/p>\n

Environ Health Perspect; February 2018 Vol 126 Issue 2. https:\/\/doi.org\/10.1289\/EHP2152<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-2642","post","type-post","status-publish","format-standard","hentry","category-article-de-la-semaine"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t