# name
Comparing the Health Effects of Ambient Particulate Matter
                Estimated Using Ground-Based versus Remote Sensing Exposure
                Estimates

# metadata.dc.description.abstract[].value
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.

# metadata.dc.publisher[].value
National Institute of Environmental Health Sciences (NIEHS)

# metadata.dc.relation.isformatof[].value
Versió postprint del document publicat a:
                http://dx.doi.org/10.1289/EHP575

# metadata.dc.rights[].value
(c) National Institute of Environmental Health Sciences (NIEHS), 2016

# metadata.dc.source[].value
Articles publicats en revistes (ISGlobal)

# metadata.dc.title[].value
Comparing the Health Effects of Ambient Particulate Matter
                Estimated Using Ground-Based versus Remote Sensing Exposure
                Estimates