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A Multicity Analysis of the Short-Term Effects of Air Pollution on the Chronic Obstructive Pulmonary Disease Hospital Admissions in Shandong, China

Author

Listed:
  • Yi Liu

    (Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, 44, Wenhuaxi Street, Jinan 250012, China)

  • Jingjie Sun

    (Health and Family Planning Information Center of Shandong Province, 75, Yuhan Street, Jinan 250002, China)

  • Yannong Gou

    (Health and Family Planning Information Center of Shandong Province, 75, Yuhan Street, Jinan 250002, China)

  • Xiubin Sun

    (Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, 44, Wenhuaxi Street, Jinan 250012, China)

  • Xiujun Li

    (Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, 44, Wenhuaxi Street, Jinan 250012, China)

  • Zhongshang Yuan

    (Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, 44, Wenhuaxi Street, Jinan 250012, China)

  • Lizhi Kong

    (Shandong Academy of Environmental Science, 50, Lishan Street, Jinan 250013, China)

  • Fuzhong Xue

    (Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, 44, Wenhuaxi Street, Jinan 250012, China)

Abstract

Although there is growing evidence linking chronic obstructive pulmonary disease (COPD) hospital admissions to the exposure to ambient air pollution, the effect can vary depending on the local geography, pollution type, and pollution level. The number of large-scale multicity studies remains limited in China. This study aims to assess the short-term effects of ambient air pollution (PM 2.5 , PM 10 , SO 2 , NO 2 ) on chronic obstructive pulmonary disease hospital admissions from 2015 to 2016, with a total of 216,159 records collected from 207 hospitals in 17 cities all over the Shandong province, east China. Generalized additive models and penalized splines were applied to study the data whilst controlling for confounding meteorological factors and long-term trends. The air pollution was analyzed with 0–6 day lag effects and the percentage change of hospital admissions was assessed for a 10-μg/m 3 increase in the air pollution levels. We also examined the percentage changes for different age groups and gender, respectively. The results showed that air pollution was significantly associated with adverse health outcomes and stronger effects were observed for females. The air pollution health effects were also impacted by geographical factors such that the air pollution had weaker health effects in coastal cities.

Suggested Citation

  • Yi Liu & Jingjie Sun & Yannong Gou & Xiubin Sun & Xiujun Li & Zhongshang Yuan & Lizhi Kong & Fuzhong Xue, 2018. "A Multicity Analysis of the Short-Term Effects of Air Pollution on the Chronic Obstructive Pulmonary Disease Hospital Admissions in Shandong, China," IJERPH, MDPI, vol. 15(4), pages 1-15, April.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:774-:d:141520
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    References listed on IDEAS

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    1. Qiulin Xiong & Wenji Zhao & Zhaoning Gong & Wenhui Zhao & Tao Tang, 2015. "Fine Particulate Matter Pollution and Hospital Admissions for Respiratory Diseases in Beijing, China," IJERPH, MDPI, vol. 12(9), pages 1-13, September.
    2. Ru-Jin Huang & Yanlin Zhang & Carlo Bozzetti & Kin-Fai Ho & Jun-Ji Cao & Yongming Han & Kaspar R. Daellenbach & Jay G. Slowik & Stephen M. Platt & Francesco Canonaco & Peter Zotter & Robert Wolf & Sim, 2014. "High secondary aerosol contribution to particulate pollution during haze events in China," Nature, Nature, vol. 514(7521), pages 218-222, October.
    3. J. Lelieveld & J. S. Evans & M. Fnais & D. Giannadaki & A. Pozzer, 2015. "The contribution of outdoor air pollution sources to premature mortality on a global scale," Nature, Nature, vol. 525(7569), pages 367-371, September.
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    Cited by:

    1. Yi Liu & Jingjie Sun & Yannong Gou & Xiubin Sun & Dandan Zhang & Fuzhong Xue, 2020. "Analysis of Short-Term Effects of Air Pollution on Cardiovascular Disease Using Bayesian Spatio-Temporal Models," IJERPH, MDPI, vol. 17(3), pages 1-12, January.

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