期刊
JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY
卷 30, 期 4, 页码 650-658出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/s41370-019-0135-4
关键词
O-3; Air pollution; Long-term exposure; Cause-specific mortality; Confounding
资金
- NIEHS NIH HHS [R01 ES022657] Funding Source: Medline
We examined the association of long-term, daily 1-h maximum O-3(ozone) exposures on cause-specific mortality for 22.2 million US Medicare beneficiaries between 2000-2008. We modeled the association between O(3)and mortality using age-gender-race stratified log-linear regression models, adjusted for state of residence. We examined confounding by (1) adjusting for PM2.5(particles with aerodynamic diameters <2.5 mu m) and NO2(nitrogen dioxide) exposures, temperature, and neighborhood-level characteristics and behaviors, and (2) decomposing O(3)into its temporal and spatio-temporal components and comparing estimated risk ratios. We also examined sensitivity of our results to alternate exposure measures based on warm-season 8-h daily maximum and 24-h average exposures. We found increased risks from long-term O(3)exposures to be strongest and most consistent for mortality from respiratory disease (1.030, 95% CI: 1.027, 1.034) (including COPD (chronic obstructive pulmonary disease)), CHF (congestive heart failure), and lung cancer (1.015, 95% CI: 1.010, 1.020), with no evidence of confounding by PM2.5, NO2, and temperature and with results similar across O(3)exposure measures. While significant, associations between long-term O(3)exposures and CVD (cardiovascular)-related mortality (1.005, 95% CI: 1.003, 1.007) were confounded by PM(2.5)and varied with the exposure measure, with associations no longer significantly positive when warm-season 8-h maximum or 24-h average O(3)was used to assess exposures. In this large study, we provide strong evidence that O(3)exposure is associated with mortality from respiratory-related causes and for the first-time, lung cancer, but raise questions regarding O-3-related impacts on CVD mortality. Our findings demonstrate the need to further identify potential confounders.
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