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Seasonal Analyses of Air Pollution and Mortality in 100 US Cities *

Time series models relating short-term changes in air pollution levels to daily mortality counts typically assume that the effects of air pollution on the log relative rate of mortality do not vary with time. However, these short-term effects might plausibly vary by season. Changes in the sources of air pollution and meteorology can result in changes in characteristics of the air pollution mixture across seasons. The authors developed Bayesian semiparametric hierarchical models for estimating time-varying effects of pollution on mortality in multisite time series studies.

The methods were applied to the database of the National Morbidity and Mortality Air Pollution Study, which includes data for 100 US cities, for the period 1987–2000. At the national level, a 10-µg/m3 increase in particulate matter less than 10 µm in aerodynamic diameter at a 1-day lag was associated with 0.15% (95% posterior interval (PI): –0.08, 0.39), 0.14% (95% PI: –0.14, 0.42), 0.36% (95% PI: 0.11, 0.61), and 0.14% (95% PI: –0.06, 0.34) increases in mortality for winter, spring, summer, and fall, respectively. An analysis by geographic region found a strong seasonal pattern in the Northeast (with a peak in summer) and little seasonal variation in the southern regions of the country. These results provide useful information for understanding particle toxicity and guiding future analyses of particle constituent data.

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THE INFORMATION IN THIS WEBSITE IS OFFERED FOR GENERAL EDUCATIONAL PURPOSES ONLY AND DOES NOT IMPLY OR GIVE MEDICAL ADVICE. No Doctor/Patient relationship shall be deemed to have arisen simply by reading the information contained on these pages, and you should consult with your personal physician/care giver regarding your medical treatment before undergoing any sort of treatment or therapy.

Published on 09-22-2008
Authors: Roger D. Peng1, Francesca Dominici1, Roberto Pastor-Barriuso2, Scott L. Zeger1 and Jonathan M. Samet3
Source: American Journal of Epidemiology Copyright © 2005 by the Johns Hopkins Bloomberg School of Public Health