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Air Health Trend Indicator: Association between Short-Term Exposure to Ground Ozone and Circulatory Hospitalizations in Canada for 17 Years, 1996–2012

Author

Listed:
  • Hwashin Hyun Shin

    (Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON K1A 0K9, Canada
    Department of Mathematics and Statistics, Queen’s University, Kingston, ON K7L 3N6, Canada)

  • Wesley S. Burr

    (Department of Mathematics, Trent University, Peterborough, ON K9L 0G2, Canada)

  • Dave Stieb

    (Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON K1A 0K9, Canada
    School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON K1N 6N5, Canada)

  • Lani Haque

    (Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON K1A 0K9, Canada)

  • Harun Kalayci

    (Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON K1A 0K9, Canada)

  • Branka Jovic

    (Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON K1A 0K9, Canada)

  • Marc Smith-Doiron

    (Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON K1A 0K9, Canada)

Abstract

The Air Health Trend Indicator is designed to estimate the public health risk related to short-term exposure to air pollution and to detect trends in the annual health risks. Daily ozone, circulatory hospitalizations and weather data for 24 cities (about 54% of Canadians) for 17 years (1996–2012) were used. This study examined three circulatory causes: ischemic heart disease (IHD, 40% of cases), other heart disease (OHD, 31%) and cerebrovascular disease (CEV, 14%). A Bayesian hierarchical model using a 7-year estimator was employed to find trends in the annual national associations by season, lag of effect, sex and age group (≤65 vs. >65). Warm season 1-day lagged ozone returned higher national risk per 10 ppb: 0.4% (95% credible interval, −0.3–1.1%) for IHD, 0.4% (−0.2–1.0%) for OHD, and 0.2% (−0.8–1.2%) for CEV. Overall mixed trends in annual associations were observed for IHD and CEV, but a decreasing trend for OHD. While little age effect was identified, some sex-specific difference was detected, with males seemingly more vulnerable to ozone for CEV, although this finding needs further investigation. The study findings could reduce a knowledge gap by identifying trends in risk over time as well as sub-populations susceptible to ozone by age and sex.

Suggested Citation

  • Hwashin Hyun Shin & Wesley S. Burr & Dave Stieb & Lani Haque & Harun Kalayci & Branka Jovic & Marc Smith-Doiron, 2018. "Air Health Trend Indicator: Association between Short-Term Exposure to Ground Ozone and Circulatory Hospitalizations in Canada for 17 Years, 1996–2012," IJERPH, MDPI, vol. 15(8), pages 1-19, July.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:8:p:1566-:d:159675
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    References listed on IDEAS

    as
    1. Pi Guo & Yulin Wang & Wenru Feng & Jiagang Wu & Chuanxi Fu & Hai Deng & Jun Huang & Li Wang & Murui Zheng & Huazhang Liu, 2017. "Ambient Air Pollution and Risk for Ischemic Stroke: A Short-Term Exposure Assessment in South China," IJERPH, MDPI, vol. 14(9), pages 1-11, September.
    2. Francesca Dominici & Jonathan M. Samet & Scott L. Zeger, 2000. "Combining evidence on air pollution and daily mortality from the 20 largest US cities: a hierarchical modelling strategy," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(3), pages 263-302.
    3. Wesley S. Burr & Glen Takahara & Hwashin H. Shin, 2015. "Bias correction in estimation of public health risk attributable to short‐term air pollution exposure," Environmetrics, John Wiley & Sons, Ltd., vol. 26(4), pages 298-311, June.
    4. Hwashin Hyun Shin & Dave Stieb & Rick Burnett & Glen Takahara & Barry Jessiman, 2012. "Tracking National and Regional Spatial‐Temporal Mortality Risk Associated with NO2 Concentrations in Canada: A Bayesian Hierarchical Two‐Level Model," Risk Analysis, John Wiley & Sons, vol. 32(3), pages 513-530, March.
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