Dataset Information

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

ABSTRACT:

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 (PM_2.5) is associated with mortality.

Objectives

We compared relative risk estimates of mortality from diseases of the circulatory system for PM_2.5 modeled from RS with that for PM_2.5 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 PM_2.5 levels to all participants using seven different exposure models. Most of the exposure models were averaged for the years 2002-2004, and one RS estimate was for a longer, contemporaneous period. We used Cox proportional hazards regression to estimate relative risks (RRs) for the association of PM_2.5 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 ?g/m³ increment in PM_2.5]. 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 ?g/m³ increment in PM_2.5).

Conclusions

We found significant associations between PM_2.5 and mortality in every model; however, relative risks estimated from exposure models using ground-based information were generally larger than those estimated using RS alone.

SUBMITTER: Jerrett M

PROVIDER: S-EPMC5382001 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Publications

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

Jerrett Michael M Turner Michelle C MC Beckerman Bernardo S BS Pope C Arden CA van Donkelaar Aaron A Martin Randall V RV Serre Marc M Crouse Dan D Gapstur Susan M SM Krewski Daniel D Diver W Ryan WR Coogan Patricia F PF Thurston George D GD Burnett Richard T RT

Environmental health perspectives 20160909 4

<h4>Background</h4>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 (PM<sub>2.5</sub>) is associated with mortality.<h4>Objectives</h4>We compared relative risk estimates of mortality from diseases of the circulatory system for PM<sub>2.5</sub> modeled from RS with that for PM<sub>2.5</sub> modeled using ground-level information.<h4>Methods</ ...[more]

PMID: 27611476

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Dataset Information

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

Background

Objectives

Methods

Results

Conclusions

Publications

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

Similar Datasets

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