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<p>In recent years, extreme weather events have been frequent due to climate change and have significantly impacted on public health. However, studies on temperature-related health in Northwest China remain limited. This study was conducted to investigate the relationship between daily average temperature and respiratory and circulatory diseases from 2018 to 2020 in Dingxi, Northwest China. A distributed lag nonlinear model (DLNM) was performed to evaluate the delayed effects of daily average temperature on both diseases for up to 21 days. The results revealed that the effect of high temperature was strongest on the same day (lag0) for respiratory diseases and lag3 for circulatory diseases, with the relative risk (RR) values of 1.10 (95%CI: 1.01–1.19) and 1.08 (95%CI: 1.03–1.13), respectively. The risk of low temperatures was greater for circulatory diseases, with a 25.46% relative risk (RR) increase when the daily average temperature decreased from − 7&#xa0;°C to -13&#xa0;°C. However, the lagged effect for respiratory diseases was longer, with an RR of 1.96 (95%CI: 1.03–3.73) for the cumulative effect of low temperatures at lag0-21. In respiratory diseases, females and those &lt; 65 years are more strongly affected by low temperatures. High temperatures significantly impacted individuals aged ≥ 65 years with circulatory diseases. This study points out the significant differences in the impact of temperature on human health in Dingxi, a city in northwest China, which can help policymakers implement mitigation and adaptation measures.</p>

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Short-term influence of daily average temperature on respiratory and circulatory diseases in Dingxi, Northwest China

  • 期刊论文

  • 发表日期：

    2025年8月12日

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  • Pengpeng Qin,
  • Ziyue Wan,
  • Yuhan Zhao,
  • Weiping Liu,
  • Caixia Zhang,
  • Yuxia Ma

摘要

In recent years, extreme weather events have been frequent due to climate change and have significantly impacted on public health. However, studies on temperature-related health in Northwest China remain limited. This study was conducted to investigate the relationship between daily average temperature and respiratory and circulatory diseases from 2018 to 2020 in Dingxi, Northwest China. A distributed lag nonlinear model (DLNM) was performed to evaluate the delayed effects of daily average temperature on both diseases for up to 21 days. The results revealed that the effect of high temperature was strongest on the same day (lag0) for respiratory diseases and lag3 for circulatory diseases, with the relative risk (RR) values of 1.10 (95%CI: 1.01–1.19) and 1.08 (95%CI: 1.03–1.13), respectively. The risk of low temperatures was greater for circulatory diseases, with a 25.46% relative risk (RR) increase when the daily average temperature decreased from − 7 °C to -13 °C. However, the lagged effect for respiratory diseases was longer, with an RR of 1.96 (95%CI: 1.03–3.73) for the cumulative effect of low temperatures at lag0-21. In respiratory diseases, females and those < 65 years are more strongly affected by low temperatures. High temperatures significantly impacted individuals aged ≥ 65 years with circulatory diseases. This study points out the significant differences in the impact of temperature on human health in Dingxi, a city in northwest China, which can help policymakers implement mitigation and adaptation measures.