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National Institute of Environmental Health Sciences (NIEHS), Environmental Health Perspectives, 6(123), p. 597-605, 2015

DOI: 10.1289/ehp.1307711

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Air Pollution and Atherosclerosis: A Cross-Sectional Analysis of Four European Cohort Studies in the ESCAPE Study

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

BACKGROUND: In four European cohorts, we investigated the cross-sectional association between long-term exposure to air pollution and intima-media thickness of the common carotid artery (CIMT), a pre-clinical marker of atherosclerosis. METHODS: Individually assigned levels of NO2, NOx, PM2.5, absorbance of PM2.5 (PM2.5abs), PM10, PMcoarse, and two indicators of residential proximity to highly trafficked roads were obtained under a standard exposure protocol (European Study of Cohorts for Air Pollution effects-ESCAPE study) in the Stockholm area (Sweden), the Ausburg and Ruhr area (Germany) and the Girona area (Spain). We used linear regression and meta-analyses to examine the association between long-term exposure to air pollution and CIMT. RESULTS: The meta-analysis with 9183 individuals resulted in an estimated increase in CIMT (geometric mean) of 0.72% (95% Confidence Interval [CI]: -0.65%, 2.10%) per 5 µg/m(3) increase in PM2.5 and 0.42% (95% CI: -0.46%, 1.30%) per 10(-5)/m increase in PM2.5abs. Living in proximity to high traffic was also positively but not significantly associated with CIMT. Meta-analytic estimates for other pollutants were inconsistent. Results were similar across different adjustment sets and sensitivity analyses. In an extended meta-analysis for PM2.5 with three other previously published studies, a 0.78% (95% CI: -0.18%, 1.75%) increase in CIMT was estimated for a 5 µg/m(3) contrast in PM2.5. CONCLUSIONS: Using a standardized exposure and analytical protocol in four European cohorts, cross-sectional associations between CIMT and the eight ESCAPE markers of long-term residential air pollution exposure did not reach statistical significance. The additional meta-analysis of CIMT and PM2.5 across all published studies also was positive but not significant.