Estimating particulate matter-mortality dose-response curves and threshold levels: An analysis of daily time-series for the 20 largest US cities

Michael J. Daniels, Francesca Dominici, Jonathan M. Samet, Scott Zeger

Research output: Contribution to journalArticle

Abstract

Numerous studies have shown a positive association between daily mortality and particulate air pollution, even at concentrations below regulatory limits. These findings have motivated interest in the shape of the exposure-response relation. The authors have developed flexible modeling strategies for time-series data that include spline and threshold exposure-response models; they apply these models to daily time-series data for the 20 largest US cities for 1987-1994, using the concentration of particulate matter 10) as the exposure measure. The spline model showed a linear relation without indication of threshold for PM10 and relative risk of death for all causes and cardiorespiratory causes; by contrast, for other causes, the risk did not increase until approximately 50 μg/m3 PM10. For all-cause mortality, a linear model without threshold was preferred to the threshold model and to the spline model, using the Akaike information criterion (AIC). The findings were similar for cardiovascular and respiratory deaths combined. By contrast, for causes other than cardiovascular and respiratory, a threshold model was more competitive with a threshold value estimated at 65 μg/m3. These findings indicate that linear models without a threshold are appropriate for assessing the effect of particulate air pollution on daily mortality even at current levels.

Original languageEnglish (US)
Pages (from-to)397-406
Number of pages10
JournalAmerican Journal of Epidemiology
Volume152
Issue number5
DOIs
Publication statusPublished - Sep 1 2000

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Keywords

  • Air pollution
  • Models
  • Mortality
  • Statistical

ASJC Scopus subject areas

  • Epidemiology

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