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Am J Respir Crit Care Med. 2008 Jan 15;177(2):184-9. Epub 2007 Oct 11.

Mortality displacement in the association of ozone with mortality: an analysis of 48 cities in the United States.

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1
Department of Environmental Health, Exposure Epidemiology and Risk Program, Harvard School of Public Health, 401 Park Drive, Landmark Center, Suite 415, P.O. Box 15698, Boston, MA 02215, USA. azanobet@hsph.harvard.edu

Abstract

RATIONALE:

Although the association between mortality and particles is well established, fewer studies have been reported with ozone. The harvesting hypothesis posits that the deaths associated with an exposure are occurring in people who are dying already, and the effect of exposure is merely to move the death from one day to an earlier day, and has no other effects that would influence deaths.

OBJECTIVES:

The aim of this study was to analyze the effect of ozone on mortality, and the extent to which this is due to short-term mortality displacement in 48 U.S. cities between 1989 and 2000.

METHODS:

Time series of mortality and ozone were investigated with a generalized linear model during the June-August months, controlling for season, day of the week, and apparent temperature. We examined an unconstrained and a smooth distributed lag with 21 lags of ozone, and effect modification for city-specific characteristics.

MEASUREMENTS AND MAIN RESULTS:

We found a 0.3% (95% confidence interval, 0.2-0.4) increase in total mortality for a 10-ppb increase in 8-hour ozone at lag 0 during summer months. The effect increased to 0.5% (95% confidence interval, 0.05-0.96) when looking at the unconstrained distributed lag. The shape of the distributed lag indicates that all the effect is in the first week.

CONCLUSIONS:

We did not find mortality displacement due to ozone; rather, the effect size estimate when looking at 21 days of ozone was larger than when using a single day's ozone concentration. Therefore, these results indicate that risk assessments using the single day of ozone exposure are likely to underestimate, rather than overestimate, the public health impact.

PMID:
17932375
DOI:
10.1164/rccm.200706-823OC
[Indexed for MEDLINE]
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