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Association between PM 2.5 Exposure and All-Cause, Non-Accidental, Accidental, Different Respiratory Diseases, Sex and Age Mortality in Shenzhen, China

Author

Listed:
  • Junfang Cai

    (National Institute of Environmental Health and Related Product Safety, Chinese Center for Disease Control and Prevention, Beijing 100021, China)

  • Chaoqiong Peng

    (Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China)

  • Shuyuan Yu

    (Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China)

  • Yingxin Pei

    (CFETP, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Ning Liu

    (Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China)

  • Yongsheng Wu

    (Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China)

  • Yingbin Fu

    (Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China)

  • Jinquan Cheng

    (Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China)

Abstract

Background : China is at its most important stage of air pollution control. Research on the association between air pollutants and human health is very important and necessary. The purpose of this study was to evaluate the association between PM 2.5 concentrations and residents’ mortality and to compare the effect of PM 2.5 on the different diseases, accidental deaths, sex or age of residents from high polluted areas with less polluted areas. Methods : The semi-parametric generalized additive model (GAM) with Poisson distribution of time series analysis was used. The excess risk (ER) of mortality with the incremental increase of 10 µg/m 3 in PM 2.5 concentration was calculated. Concentration-response relationship curves and autocorrelation between different lags of PM 2.5 were also evaluated. Results : PM 2.5 exposure was significantly associated with the mortality of residents. The strongest ERs per 10 µg/m 3 increase in PM 2.5 were 0.74% (95% CI: 0.11–1.38%) for all-cause, 0.67% (95% CI: 0.01–1.33%) for non-accidental, 1.81% (95% CI: 0.22–3.42%) for accidental, 3.04% (95% CI: 0.60–5.55%) for total respiratory disease, 6.38% (95% CI: 2.78–10.11%) for chronic lower respiratory disease (CLRD), 8.24% (95% CI: 3.53–13.17%) for chronic obstructive pulmonary disease (COPD), 1.04% (95% CI: 0.25–1.84%) for male and 1.32% (95% CI: 0.46–2.19%) for elderly. Furthermore, important information on the concentration-response relationship curves was provided. Conclusions : PM 2.5 can increase the risk of residents’ mortality, even in places with less air pollution and developed economy in China.

Suggested Citation

  • Junfang Cai & Chaoqiong Peng & Shuyuan Yu & Yingxin Pei & Ning Liu & Yongsheng Wu & Yingbin Fu & Jinquan Cheng, 2019. "Association between PM 2.5 Exposure and All-Cause, Non-Accidental, Accidental, Different Respiratory Diseases, Sex and Age Mortality in Shenzhen, China," IJERPH, MDPI, vol. 16(3), pages 1-26, January.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:3:p:401-:d:202233
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    References listed on IDEAS

    as
    1. Xin Fang & Bo Fang & Chunfang Wang & Tian Xia & Matteo Bottai & Fang Fang & Yang Cao, 2017. "Relationship between fine particulate matter, weather condition and daily non-accidental mortality in Shanghai, China: A Bayesian approach," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-23, November.
    2. Junfang Cai & Shuyuan Yu & Yingxin Pei & Chaoqiong Peng & Yuxue Liao & Ning Liu & Jiajia Ji & Jinquan Cheng, 2018. "Association between Airborne Fine Particulate Matter and Residents’ Cardiovascular Diseases, Ischemic Heart Disease and Cerebral Vascular Disease Mortality in Areas with Lighter Air Pollution in China," IJERPH, MDPI, vol. 15(9), pages 1-17, September.
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