| A Temporal, Multicity Model to Estimate the Effects of Short-Term Exposure to Ambient Air Pollution on Health Hwashin Hyun Shin,1,2 David M. Stieb,2,3 Barry Jessiman,1 Mark S. Goldberg,4 Orly Brion,1 Jeff Brook,5 Tim Ramsay,6 and Richard T. Burnett2,3 1Air Health Science Division, Safe Environments Programme, Health Canada, Ottawa, Ontario, Canada; 2R. Samuel McLaughlin Centre for Population Health Risk Assessment, Institute of Population Health, University of Ottawa, Ottawa, Ontario, Canada; 3Biostatistics and Epidemiology Division, Health Canada, Ottawa, Ontario, Canada; 4Department of Medicine and Division of Clinical Epidemiology, McGill University, Montreal, Quebec, Canada; 5Processes Research, Environment Canada, Downsview, Ontario, Canada; 6Ottawa Health Research Institute, University of Ottawa, Ottawa, Ontario, Canada Abstract Background: Countries worldwide are expending significant resources to improve air quality partly to improve the health of their citizens. Are these societal expenditures improving public health? Objectives: We consider these issues by tracking the risk of death associated with outdoor air pollution over both space and time in Canadian cities. Materials and methods: We propose two multi-year estimators that use current plus several previous years of data to estimate current year risk. The estimators are derived from sequential time series analyses using moving time windows. To evaluate the statistical properties of the proposed methods, a simulation study with three scenarios of changing risk was conducted based on 12 Canadian cities from 1981 to 2000. Then an optimal estimator was applied to 24 of Canada's largest cities over the 17-year period from 1984 to 2000. Results: The annual average daily concentrations of ozone appeared to be increasing over the time period, whereas those of nitrogen dioxide were decreasing. However, the proposed method returns different time trends in public health risks. Evidence for some monotonic increasing trends in the annual risks is weak for O3 (p = 0.3870) but somewhat stronger for NO2 (p = 0.1082) . In particular, an increasing time trend becomes apparent when excluding year 1998, which reveals lower risk than proximal years, even though concentrations of NO2 were decreasing. The simulation results validate our two proposed methods, producing estimates close to the preassigned values. Conclusions: Despite decreasing ambient concentrations, public health risks related to NO2 appear to be increasing. Further investigations are necessary to understand why the concentrations and adverse effects of NO2 show opposite time trends. Key words: air pollution, mortality, Poisson generalized additive model, public health, simulation, spatial-temporal model. Environ Health Perspect 116:1147–1153 (2008) . doi:10.1289/ehp.11194 available via http://dx.doi.org/ [Online 9 May 2008] Address correspondence to H.H. Shin, 4903B, Air Health Effects Division, Health Canada, 269 Laurier Ave. West, Ottawa, ON, Canada K1A 0K9. Telephone: (613) 941-3990. Fax: (613) 954-7612. E-mail: Hwashin_Shin@hc-sc.gc.ca M.S.G. gratefully acknowledges receipt of an Investigator Award from the Canadian Institutes of Health Research. The authors declare they have no competing financial interests. Received 19 December 2007 ; accepted 7 May 2008. The full version of this article is available for free in HTML or PDF formats. |