期刊
ENVIRONMENTAL RESEARCH
卷 176, 期 -, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.envres.2019.108560
关键词
Traffic-related air pollution; Cancer incidence; Mortality Coronary patients; Vulnerable populations; Exposure assessment; Exposure misclassification; Cohort study
资金
- Israel Cancer Association [20160049, 20171172]
- Bircher-Benner Foundation
- Sackler Faculty of Medicine, Tel Aviv University
- Stanley Steyer Institute for Cancer Epidemiology and Research at Tel Aviv University, School of Public Health
- late Alter Jacob Israel & Layla Environment and Epidemiology Research Fund
Background: Moderate correlations were previously observed between individual estimates of traffic-related air pollution (TRAP) produced by different exposure modeling approaches. This induces exposure misclassification for a substantial fraction of subjects. Aim: We used an ensemble of well-established modeling approaches to increase certainty of exposure classification and reevaluated the association with cancers previously linked to TRAP (lung, breast and prostate), other cancers, and all-cause mortality in a cohort of coronary patients. Methods: Patients undergoing percutaneous coronary interventions in a major Israeli medical center from 2004 to 2014 (n = 10,627) were followed for cancer (through 2015) and mortality (through 2017) via national registries. Residential exposure to nitrogen oxides (NOx) a proxy for TRAP was estimated by optimized dispersion model (ODM) and land use regression (LUR) (r(pearson) = 0.50). Mutually exclusive groups of subjects classified as exposed by none of the methods (high-certainty low-exposed), ODM alone, LUR alone, or both methods (high-certainty high-exposed) were created. Associations were examined using Cox regression models. Results: During follow-up, 741 incident cancer cases were diagnosed and 3051 deaths occurred. Using a >= 25 ppb cutoff, compared with high-certainty low exposed, the multivariable-adjusted hazard ratios (95% confidence intervals) for lung, breast and prostate cancer were 1.56 (1.13-2.15) in high-certainty exposed, 1.27 (0.86-1.86) in LUR-exposed alone, and 1.13 (0.77-1.65) in ODM-exposed alone. The association of the former category was strengthened using more extreme NOx cutoffs. A similar pattern, albeit less strong, was observed for mortality, whereas no association was shown for cancers not previously linked to TRAP. Conclusions: Use of an ensemble of TRAP exposure estimates may improve classification, resulting in a stronger association with outcomes.
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