• Joel D Kaufman, Sara D Adar, Ryan W Allen, R Graham Barr, Matthew J Budoff, Gregory L Burke, Adrian M Casillas, Martin A Cohen, Cynthia L Curl, Martha L Daviglus, Ana V Diez Roux, David R Jacobs, Richard A Kronmal, Timothy V Larson, Sally Lee-Jane Liu, Thomas Lumley, Ana Navas-Acien, Daniel H O'Leary, Jerome I Rotter, Paul D Sampson, Lianne Sheppard, David S Siscovick, James H Stein, Adam A Szpiro, and Russell P Tracy.
• Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, USA. joel@u.washington.edu
• Am. J. Epidemiol. 2012 Nov 1;176(9):825-37.

AbstractThe Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air) was initiated in 2004 to investigate the relation between individual-level estimates of long-term air pollution exposure and the progression of subclinical atherosclerosis and the incidence of cardiovascular disease (CVD). MESA Air builds on a multicenter, community-based US study of CVD, supplementing that study with additional participants, outcome measurements, and state-of-the-art air pollution exposure assessments of fine particulate matter, oxides of nitrogen, and black carbon. More than 7,000 participants aged 45-84 years are being followed for over 10 years for the identification and characterization of CVD events, including acute myocardial infarction and other coronary artery disease, stroke, peripheral artery disease, and congestive heart failure; cardiac procedures; and mortality. Subcohorts undergo baseline and follow-up measurements of coronary artery calcium using computed tomography and carotid artery intima-medial wall thickness using ultrasonography. This cohort provides vast exposure heterogeneity in ranges currently experienced and permitted in most developed nations, and the air monitoring and modeling methods employed will provide individual estimates of exposure that incorporate residence-specific infiltration characteristics and participant-specific time-activity patterns. The overarching study aim is to understand and reduce uncertainty in health effect estimation regarding long-term exposure to air pollution and CVD.

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