Comparing the Health Effects of Ambient Particulate Matter Estimated Using Ground-Based versus Remote Sensing Exposure Estimates
| Autor: | Richard T. Burnett, Michelle C. Turner, W. Ryan Diver, Bernardo Beckerman, Michael Jerrett, George D. Thurston, Randall V. Martin, Susan M. Gapstur, Marc L. Serre, C. Arden Pope, Aaron van Donkelaar, Patricia F. Coogan, Daniel Krewski, Dan L. Crouse |
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| Rok vydání: | 2016 |
| Předmět: |
Burden of disease
Chronic exposure Risk 010504 meteorology & atmospheric sciences Health Status Health Toxicology and Mutagenesis Information Storage and Retrieval 010501 environmental sciences Coronary disease Malalties coronàries Risk Assessment 01 natural sciences complex mixtures Coronary diseases Air Pollution Mortalitat Humans Particle Size Mortality News | Science Selections 0105 earth and related environmental sciences Remote sensing Exposure assessment Air Pollutants Extramural Research Public Health Environmental and Occupational Health Environmental Exposure Models Theoretical Particulates 3. Good health Remote sensing (archaeology) Remote Sensing Technology Environmental science Particulate Matter Risk assessment Environmental Monitoring |
| Zdroj: | Dipòsit Digital de la UB Universidad de Barcelona Environmental Health Perspectives Recercat. Dipósit de la Recerca de Catalunya instname |
| Popis: | BACKGROUND: Remote sensing (RS) is increasingly used for exposure assessment in epidemiological and burden of disease studies, including those investigating whether chronic exposure to ambient fine particulate matter (PM2.5) is associated with mortality. OBJECTIVES: To compare relative risk estimates of mortality from diseases of the circulatory system for PM2.5 modeled from RS with that for PM2.5 modeled using ground-level information. METHODS: We geocoded the baseline residence of 668,629 American Cancer Society Cancer Prevention Study II (CPS-II) cohort participants followed from 1982 to 2004 and assigned PM2.5 levels to all participants using seven different exposure models. Most of the exposure models were averaged for the years 2002-2004, while one RS estimate was for a longer, contemporaneous period. We used Cox proportional hazards regression to estimate relative risks (RR) for the association of PM2.5 with circulatory mortality and ischemic heart disease. RESULTS: Estimates of mortality risk differed among exposure models. The smallest relative risk was observed for the RS estimates that excluded ground-based monitors for circulatory deaths (RR = 1.02 (95% confidence interval (CI): 1.00-1.04 per 10 microg/m3 increment in PM2.5). The largest relative risk was observed for the land use regression model that included traffic information (RR = 1.14, 95% CI: 1.11-1.17 per 10 microg/m3 increment in PM2.5). CONCLUSIONS: We found significant associations between PM2.5 and mortality in every model; however, relative risks estimated from exposure models using ground-based information were generally larger than those estimated with RS alone. |
| Databáze: | OpenAIRE |
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