IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i7p722-d74178.html
   My bibliography  Save this article

The Short-Term Effect of Ambient Temperature on Mortality in Wuhan, China: A Time-Series Study Using a Distributed Lag Non-Linear Model

Author

Listed:
  • Yunquan Zhang

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

  • Cunlu Li

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

  • Renjie Feng

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

  • Yaohui Zhu

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

  • Kai Wu

    (Jiang’an District Center for Disease Control and Prevention, Wuhan 430014, China)

  • Xiaodong Tan

    (Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan 430071, China)

  • Lu Ma

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

Abstract

Less evidence concerning the association between ambient temperature and mortality is available in developing countries/regions, especially inland areas of China, and few previous studies have compared the predictive ability of different temperature indictors (minimum, mean, and maximum temperature) on mortality. We assessed the effects of temperature on daily mortality from 2003 to 2010 in Jiang’an District of Wuhan, the largest city in central China. Quasi-Poisson generalized linear models combined with both non-threshold and double-threshold distributed lag non-linear models (DLNM) were used to examine the associations between different temperature indictors and cause-specific mortality. We found a U-shaped relationship between temperature and mortality in Wuhan. Double-threshold DLNM with mean temperature performed best in predicting temperature-mortality relationship. Cold effect was delayed, whereas hot effect was acute, both of which lasted for several days. For cold effects over lag 0–21 days, a 1 °C decrease in mean temperature below the cold thresholds was associated with a 2.39% (95% CI: 1.71, 3.08) increase in non-accidental mortality, 3.65% (95% CI: 2.62, 4.69) increase in cardiovascular mortality, 3.87% (95% CI: 1.57, 6.22) increase in respiratory mortality, 3.13% (95% CI: 1.88, 4.38) increase in stroke mortality, and 21.57% (95% CI: 12.59, 31.26) increase in ischemic heart disease (IHD) mortality. For hot effects over lag 0–7 days, a 1 °C increase in mean temperature above the hot thresholds was associated with a 25.18% (95% CI: 18.74, 31.96) increase in non-accidental mortality, 34.10% (95% CI: 25.63, 43.16) increase in cardiovascular mortality, 24.27% (95% CI: 7.55, 43.59) increase in respiratory mortality, 59.1% (95% CI: 41.81, 78.5) increase in stroke mortality, and 17.00% (95% CI: 7.91, 26.87) increase in IHD mortality. This study suggested that both low and high temperature were associated with increased mortality in Wuhan, and that mean temperature had better predictive ability than minimum and maximum temperature in the association between temperature and mortality.

Suggested Citation

  • Yunquan Zhang & Cunlu Li & Renjie Feng & Yaohui Zhu & Kai Wu & Xiaodong Tan & Lu Ma, 2016. "The Short-Term Effect of Ambient Temperature on Mortality in Wuhan, China: A Time-Series Study Using a Distributed Lag Non-Linear Model," IJERPH, MDPI, vol. 13(7), pages 1-13, July.
  • Handle: RePEc:gam:jijerp:v:13:y:2016:i:7:p:722-:d:74178
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/7/722/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/13/7/722/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jan C. Semenza, 2014. "Climate Change and Human Health," IJERPH, MDPI, vol. 11(7), pages 1-7, July.
    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. Kingsley Katleho Mokoena & Crystal Jane Ethan & Yan Yu & Asenso Theophilus Quachie, 2020. "Interaction Effects of Air Pollution and Climatic Factors on Circulatory and Respiratory Mortality in Xi’an, China between 2014 and 2016," IJERPH, MDPI, vol. 17(23), pages 1-15, December.
    2. Yunquan Zhang & Chuanhua Yu & Jin Yang & Lan Zhang & Fangfang Cui, 2017. "Diurnal Temperature Range in Relation to Daily Mortality and Years of Life Lost in Wuhan, China," IJERPH, MDPI, vol. 14(8), pages 1-11, August.
    3. Kyriaki Psistaki & Ioannis M. Dokas & Anastasia K. Paschalidou, 2022. "The Impact of Ambient Temperature on Cardiorespiratory Mortality in Northern Greece," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    4. Emmanuel A. Odame & Ying Li & Shimin Zheng & Ambarish Vaidyanathan & Ken Silver, 2018. "Assessing Heat-Related Mortality Risks among Rural Populations: A Systematic Review and Meta-Analysis of Epidemiological Evidence," IJERPH, MDPI, vol. 15(8), pages 1-15, July.

    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. Stefania Marcheggiani & Emilo D'Ugo & Camilla Puccinelli & Roberto Giuseppetti & Anna Maria D'Angelo & Claudio Orlando Gualerzi & Roberto Spurio & Linda K. Medlin & Delphine Guillebault & Wilfried Wei, 2015. "Detection of Emerging and Re-Emerging Pathogens in Surface Waters Close to an Urban Area," IJERPH, MDPI, vol. 12(5), pages 1-23, May.
    2. Leah Grout & Simon Hales & Nigel French & Michael G. Baker, 2018. "A Review of Methods for Assessing the Environmental Health Impacts of an Agricultural System," IJERPH, MDPI, vol. 15(7), pages 1-27, June.
    3. An Vu & Shannon Rutherford & Dung Phung, 2019. "Heat Health Prevention Measures and Adaptation in Older Populations—A Systematic Review," IJERPH, MDPI, vol. 16(22), pages 1-22, November.
    4. Lida Dimitriadou & Panagiotis Nastos & Kostas Eleftheratos & John Kapsomenakis & Christos Zerefos, 2022. "Mortality Related to Air Temperature in European Cities, Based on Threshold Regression Models," IJERPH, MDPI, vol. 19(7), pages 1-27, March.

    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:13:y:2016:i:7:p:722-:d:74178. 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.