An empirical assessment of exposure measurement error and effect attenuation in bipollutant epidemiologic models.

ABSTRACT:

Background

Using multipollutant models to understand combined health effects of exposure to multiple pollutants is becoming more common. However, complex relationships between pollutants and differing degrees of exposure error across pollutants can make health effect estimates from multipollutant models difficult to interpret.

Objectives

We aimed to quantify relationships between multiple pollutants and their associated exposure errors across metrics of exposure and to use empirical values to evaluate potential attenuation of coefficients in epidemiologic models.

Methods

We used three daily exposure metrics (central-site measurements, air quality model estimates, and population exposure model estimates) for 193 ZIP codes in the Atlanta, Georgia, metropolitan area from

SUBMITTER: Dionisio KL 

PROVIDER: S-EPMC4216163 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature