Publication related to RSI or an RSI staff member

Impact of particulate air pollution on quality-adjusted life expectancy in Canada.

Air pollution and premature death are important public health concerns. Analyses have repeatedly demonstrated that airborne particles are associated with increased mortality and estimates have been used to forecast the impact on life expectancy. In this analysis, we draw upon data from the American Cancer Society (ACS) cohort and literature on utility-based measures of quality of life in relation to health status to more fully quantify the effects of air pollution on mortality in terms of quality-adjusted life expectancy. The analysis was conducted within a decision analytic model using Monte Carlo simulation techniques. Outcomes were estimated based on projections of the Canadian population. A one-unit reduction in sulfate air pollution would yield a mean annual increase in Quality-Adjusted Life Years (QALYs) of 20,960, with gains being greater for individuals with lower educational status and for males compared to females. This suggests that the impact of reductions in sulfate air pollution on quality-adjusted life expectancy is substantial. Interpretation of the results is unclear. However, the potential gains in QALYs from reduced air pollutants can be contrasted to the costs of policies to bring about such reductions. Based on a tentative threshold for the value of health benefits, analysis suggests that an investment in Canada of over 1 billion dollars per annum would be an efficient use of resources if it could be demonstrated that this would reduce sulfate concentrations in ambient air by 1 microg/m(3). Further analysis can assess the efficiency of targeting such initiatives to communities that are most likely to benefit.

Authors

  • Coyle, Douglas, Coyle D, Ottawa Health Research Institute, University of Ottawa, Ottawa, Ontario, Canada. dcoyle@ohri.ca

  • Stieb, Dave, Stieb D,

  • Burnett, Richard T, Burnett RT,

  • DeCivita, Paul, DeCivita P,

  • Krewski, Daniel, Krewski D,

  • Chen, Yue, Chen Y,

  • Thun, Michael J, Thun MJ,

YEAR OF PUBLICATION: 2003
SOURCE: J Toxicol Environ Health A. 2003 Aug 22-Oct 10;66(16-19):1847-63. doi: 10.1080/15287390306447.
JOURNAL TITLE ABBREVIATION: J Toxicol Environ Health A
JOURNAL TITLE: Journal of toxicology and environmental health. Part A
ISSN: 1528-7394 (Print) 0098-4108 (Linking)
VOLUME: 66
ISSUE: 16-19
PAGES: 1847-63
PLACE OF PUBLICATION: England
ABSTRACT:
Air pollution and premature death are important public health concerns. Analyses have repeatedly demonstrated that airborne particles are associated with increased mortality and estimates have been used to forecast the impact on life expectancy. In this analysis, we draw upon data from the American Cancer Society (ACS) cohort and literature on utility-based measures of quality of life in relation to health status to more fully quantify the effects of air pollution on mortality in terms of quality-adjusted life expectancy. The analysis was conducted within a decision analytic model using Monte Carlo simulation techniques. Outcomes were estimated based on projections of the Canadian population. A one-unit reduction in sulfate air pollution would yield a mean annual increase in Quality-Adjusted Life Years (QALYs) of 20,960, with gains being greater for individuals with lower educational status and for males compared to females. This suggests that the impact of reductions in sulfate air pollution on quality-adjusted life expectancy is substantial. Interpretation of the results is unclear. However, the potential gains in QALYs from reduced air pollutants can be contrasted to the costs of policies to bring about such reductions. Based on a tentative threshold for the value of health benefits, analysis suggests that an investment in Canada of over 1 billion dollars per annum would be an efficient use of resources if it could be demonstrated that this would reduce sulfate concentrations in ambient air by 1 microg/m(3). Further analysis can assess the efficiency of targeting such initiatives to communities that are most likely to benefit.
LANGUAGE: eng
DATE OF PUBLICATION: 2003 Aug 22-Oct 10
DATE COMPLETED: 20031027
DATE REVISED: 20061115
MESH DATE: 2003/10/28 05:00
EDAT: 2003/09/10 05:00
STATUS: MEDLINE
PUBLICATION STATUS: ppublish
OWNER: NLM

Related RSI Experts

Daniel Krewski

Chief Risk Scientist

Dr. Daniel Krewski is Chief Risk Scientist and co-founder of Risk Sciences International (RSI), a firm established in 2006 to bring evidence-based, multidisciplinary expertise to the challenge of understanding, managing, and communicating risk. As RSI’s inaugural CEO and long-time scientific...
Read More about Daniel Krewski