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Gaseous Air Pollution and the Risk for Stroke Admissions: A Case-Crossover Study in Beijing, China

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  • Fangfang Huang

    (School of Public Health, Capital Medical University, Beijing 100069, China
    Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China)

  • Yanxia Luo

    (School of Public Health, Capital Medical University, Beijing 100069, China
    Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China)

  • Peng Tan

    (Beijing Public Health Information Center, Beijing 100050, China)

  • Qin Xu

    (School of Public Health, Capital Medical University, Beijing 100069, China
    Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China)

  • Lixin Tao

    (School of Public Health, Capital Medical University, Beijing 100069, China
    Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China)

  • Jin Guo

    (School of Public Health, Capital Medical University, Beijing 100069, China
    Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China)

  • Feng Zhang

    (School of Public Health, Capital Medical University, Beijing 100069, China
    Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China)

  • Xueqin Xie

    (Beijing Public Health Information Center, Beijing 100050, China)

  • Xiuhua Guo

    (School of Public Health, Capital Medical University, Beijing 100069, China
    Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China)

Abstract

Background: Though increasing evidence supports association between gaseous air pollution and stroke, it remains unclear whether the effects differ in season, sex and age. The aim of this study was to examine the associations of gaseous air pollution with stroke admissions in Beijing, 2013–2014 in different subgroups. Methods: Case-crossover design and conditional logistic regression were used to perform the analyses. We examined the exposure-response relationship between air pollution and stroke. Stratified analyses were performed in different seasons, sex, and age groups. Results: There were 147,624 stroke admissions during the study period. In the whole study period, percent changes of stroke admissions were 0.82% (95% CI: 0.52% to 1.13%) and 0.73% (95% CI: 0.44% to 1.03%) per 10 μg/m 3 increase in the same day conentration of nitrogen dioxide (NO 2 ) and sulfur dioxide (SO 2 ). The positive associations were higher in warm seasons and with patients >65 years ( p < 0.05). Contrary effects of carbon monoxide (CO) and ozone on stroke admissions were observed in different seasons. Conclusions: NO 2 and SO 2 were positively associated with stroke admissions, with stronger effects in warm seasons and with patients >65 years. The associations of CO and ozone with stroke admissions differed across seasons.

Suggested Citation

  • Fangfang Huang & Yanxia Luo & Peng Tan & Qin Xu & Lixin Tao & Jin Guo & Feng Zhang & Xueqin Xie & Xiuhua Guo, 2017. "Gaseous Air Pollution and the Risk for Stroke Admissions: A Case-Crossover Study in Beijing, China," IJERPH, MDPI, vol. 14(2), pages 1-14, February.
  • Handle: RePEc:gam:jijerp:v:14:y:2017:i:2:p:189-:d:90298
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    References listed on IDEAS

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    1. Shan Zheng & Minzhen Wang & Shigong Wang & Yan Tao & Kezheng Shang, 2013. "Short-Term Effects of Gaseous Pollutants and Particulate Matter on Daily Hospital Admissions for Cardio-Cerebrovascular Disease in Lanzhou: Evidence from a Heavily Polluted City in China," IJERPH, MDPI, vol. 10(2), pages 1-16, January.
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    Cited by:

    1. Zesheng Chen & Bin Wang & Yanlin Hu & Lan Dai & Yangming Liu & Jing Wang & Xueqin Cao & Yiming Wu & Ting Zhou & Xiuqing Cui & Tingming Shi, 2022. "Short-Term Effects of Low-Level Ambient Air NO 2 on the Risk of Incident Stroke in Enshi City, China," IJERPH, MDPI, vol. 19(11), pages 1-13, May.
    2. Wanglin Xu & Xingyuan Liu & Zenghui Huang & Yating Du & Biao Zhang & Qiaomai Wang & Jing Xiang & Yuliang Zou & Lu Ma, 2021. "Acute Effects of Air Pollution on Ischemic Heart Disease Hospitalizations: A Population-Based Time-Series Study in Wuhan, China, 2017–2018," IJERPH, MDPI, vol. 18(23), pages 1-14, November.

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