IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i15p5453-d391279.html
   My bibliography  Save this article

Attributable Risk and Economic Cost of Cardiovascular Hospital Admissions Due to Ambient Particulate Matter in Wuhan, China

Author

Listed:
  • Xuyan Wang

    (Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China)

  • Chuanhua Yu

    (Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China
    Global Health Institute, Wuhan University, Wuhan 430072, China)

  • Yunquan Zhang

    (Department of Epidemiology and Biostatistics, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China
    Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Fang Shi

    (Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China)

  • Runtang Meng

    (Department of Preventive Medicine, School of Medicine, Hangzhou Normal University, Hangzhou 311121, China)

  • Yong Yu

    (School of Public Health and Management, Hubei University of Medicine, Shiyan 442000, China)

Abstract

Although the adverse effects of ambient particulate matter (PM) on cardiovascular disease (CVD) have been previously documented, information about their economic consequence was insufficient. This study aimed to evaluate the attributable risk and economic cost of cardiovascular hospitalizations due to ambient PM. Data of CVD hospitalizations and PM concentrations from 1 January 2015 to 31 December 2017 were collected in Wuhan, China. A generalized additive model was applied to quantify the PM-attributable CVD hospitalizations, and total attributable hospitalization costs were calculated via multiplying the total attributable cases by the case-average hospitalization costs. A total of 45,714 CVD hospitalizations were included in this study. The results showed that a 10 µg/m 3 increase in PM 2.5 and PM 10 concentrations at lag7 day, respectively, contributed to a 1.01% (95% confidence interval: 0.67–1.34) and 0.48% (0.26–0.70) increase in CVD hospitalizations. During the study period, 1487 and 983 CVD hospitalizations were attributable to PM 2.5 and PM 10 , equaling an economic cost of 29.27 and 19.34 million RMB (1 RMB = 0.1424 USD), respectively, and significant differences in PM-attributable hospitalizations and economic burden were found between gender and age groups. Our study added evidence in heavily polluted megacities regarding the increased health risk and economic cost of CVD hospitalizations associated with ambient particulate pollution.

Suggested Citation

  • Xuyan Wang & Chuanhua Yu & Yunquan Zhang & Fang Shi & Runtang Meng & Yong Yu, 2020. "Attributable Risk and Economic Cost of Cardiovascular Hospital Admissions Due to Ambient Particulate Matter in Wuhan, China," IJERPH, MDPI, vol. 17(15), pages 1-14, July.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5453-:d:391279
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/15/5453/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/15/5453/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lisha Luo & Yunquan Zhang & Junfeng Jiang & Hanghang Luan & Chuanhua Yu & Peihong Nan & Bin Luo & Mao You, 2018. "Short-Term Effects of Ambient Air Pollution on Hospitalization for Respiratory Disease in Taiyuan, China: A Time-Series Analysis," IJERPH, MDPI, vol. 15(10), pages 1-14, October.
    2. Anyang Xu & Zhe Mu & Bo Jiang & Wei Wang & Han Yu & Lijuan Zhang & Jue Li, 2017. "Acute Effects of Particulate Air Pollution on Ischemic Heart Disease Hospitalizations in Shanghai, China," IJERPH, MDPI, vol. 14(2), pages 1-11, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kohei Hasegawa & Hirokazu Toubou & Teruomi Tsukahara & Tetsuo Nomiyama, 2021. "Short-Term Associations of Ambient Fine Particulate Matter (PM 2.5 ) with All-Cause Hospital Admissions and Total Charges in 12 Japanese Cities," IJERPH, MDPI, vol. 18(8), pages 1-11, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Asim Anwar & Muhammad Ayub & Noman Khan & Antoine Flahault, 2019. "Nexus between Air Pollution and Neonatal Deaths: A Case of Asian Countries," IJERPH, MDPI, vol. 16(21), pages 1-10, October.
    2. Marissa Parry & Donna Green & Ying Zhang & Andrew Hayen, 2019. "Does Particulate Matter Modify the Short-Term Association between Heat Waves and Hospital Admissions for Cardiovascular Diseases in Greater Sydney, Australia?," IJERPH, MDPI, vol. 16(18), pages 1-16, September.
    3. Sajith Priyankara & Mahesh Senarathna & Rohan Jayaratne & Lidia Morawska & Sachith Abeysundara & Rohan Weerasooriya & Luke D. Knibbs & Shyamali C. Dharmage & Duminda Yasaratne & Gayan Bowatte, 2021. "Ambient PM 2.5 and PM 10 Exposure and Respiratory Disease Hospitalization in Kandy, Sri Lanka," IJERPH, MDPI, vol. 18(18), pages 1-13, September.
    4. 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.
    5. Fangfang Ruan & Xiangang Zeng, 2022. "Health Effects of PM 2.5 Exposure in China from 2004 to 2018: A Systematic Review and Meta-Analysis," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    6. Hua Wang & Changwei Tian & Wenming Wang & Xiaoming Luo, 2019. "Temporal Cross-Correlations between Ambient Air Pollutants and Seasonality of Tuberculosis: A Time-Series Analysis," IJERPH, MDPI, vol. 16(9), pages 1-11, May.
    7. Daitao Zhang & Yaohua Tian & Yi Zhang & Yaying Cao & Quanyi Wang & Yonghua Hu, 2019. "Fine Particulate Air Pollution and Hospital Utilization for Upper Respiratory Tract Infections in Beijing, China," IJERPH, MDPI, vol. 16(4), pages 1-9, February.
    8. Herman Bagula & Toyib Olaniyan & Kees de Hoogh & Apolline Saucy & Bhawoodien Parker & Joy Leaner & Martin Röösli & Mohamed Aqiel Dalvie, 2021. "Ambient Air Pollution and Cardiorespiratory Outcomes amongst Adults Residing in Four Informal Settlements in the Western Province of South Africa," IJERPH, MDPI, vol. 18(24), pages 1-13, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5453-:d:391279. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.