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Study on the Association between Ambient Air Pollution and Daily Cardiovascular and Respiratory Mortality in an Urban District of Beijing

Author

Listed:
  • Fengying Zhang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Beijing 100101, China
    Graduate University of Chinese Academy of Sciences, Beijing 100049, China)

  • Liping Li

    (Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, Guangdong Province, China)

  • Thomas Krafft

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Beijing 100101, China
    Department of International Health, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands)

  • Jinmei Lv

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Beijing 100101, China
    Graduate University of Chinese Academy of Sciences, Beijing 100049, China)

  • Wuyi Wang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Beijing 100101, China)

  • Desheng Pei

    (Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, Guangdong Province, China)

Abstract

The association between daily cardiovascular/respiratory mortality and air pollution in an urban district of Beijing was investigated over a 6-year period (January 2003 to December 2008). The purpose of this study was to evaluate the relative importance of the major air pollutants [particulate matter (PM), SO 2 , NO 2 ] as predictors of daily cardiovascular/respiratory mortality. The time-series studied comprises years with lower level interventions to control air pollution (2003–2006) and years with high level interventions in preparation for and during the Olympics/Paralympics (2007–2008). Concentrations of PM 10 , SO 2 , and NO 2 , were measured daily during the study period. A generalized additive model was used to evaluate daily numbers of cardiovascular/ respiratory deaths in relation to each air pollutant, controlling for time trends and meteorological influences such as temperature and relative humidity. The results show that the daily cardiovascular/respiratory death rates were significantly associated with the concentration air pollutants, especially deaths related to cardiovascular disease. The current day effects of PM 10 and NO 2 were higher than that of single lags (distributed lags) and moving average lags for respiratory disease mortality. The largest RR of SO 2 for respiratory disease mortality was in Lag02. For cardiovascular disease mortality, the largest RR was in Lag01 for PM 10 , and in current day (Lag0) for SO 2 and NO 2 . NO 2 was associated with the largest RRs for deaths from both cardiovascular disease and respiratory disease.

Suggested Citation

  • Fengying Zhang & Liping Li & Thomas Krafft & Jinmei Lv & Wuyi Wang & Desheng Pei, 2011. "Study on the Association between Ambient Air Pollution and Daily Cardiovascular and Respiratory Mortality in an Urban District of Beijing," IJERPH, MDPI, vol. 8(6), pages 1-15, June.
  • Handle: RePEc:gam:jijerp:v:8:y:2011:i:6:p:2109-2123:d:12698
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    References listed on IDEAS

    as
    1. Roger D. Peng & Francesca Dominici & Thomas A. Louis, 2006. "Model choice in time series studies of air pollution and mortality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(2), pages 179-203, March.
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    Cited by:

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    6. Tianan Yang & Yexin Liu & Weigang Zhao & Zhenjiao Chen & Jianwei Deng, 2020. "Association of Ambient Air Pollution with Nasopharyngeal Carcinoma Incidence in Ten Large Chinese Cities, 2006–2013," IJERPH, MDPI, vol. 17(6), pages 1-18, March.
    7. Manfred Neuberger & Hanns Moshammer & Daniel Rabczenko, 2013. "Acute and Subacute Effects of Urban Air Pollution on Cardiopulmonary Emergencies and Mortality: Time Series Studies in Austrian Cities," IJERPH, MDPI, vol. 10(10), pages 1-24, October.

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