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

Author

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  • 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
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    References listed on IDEAS

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    1. Jan C. Semenza, 2014. "Climate Change and Human Health," IJERPH, MDPI, vol. 11(7), pages 1-7, July.
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    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. 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.
    4. 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.

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