Abstract
Epidemiological studies have proven that extreme temperatures have a significant threat to public health. This study aimed to investigate the association between extreme temperatures and circulatory mortality from January 1, 2014, to December 31, 2016, in Harbin, a city with a cold climate in Northeast China. We set a maximum lag of 27 days to evaluate the hysteresis effects of different temperatures on circulatory mortality using a distributed lag nonlinear model (DLNM). Results indicated that daily mean temperature and circulatory mortality presented approximately an L-shaped, and the cumulative relative risks (RRs) decreased continuously as the temperature increased in both low and high temperatures. Extremely low temperature showed a hysteresis and durability on circulatory mortality, with the largest RR of 1.023 (95%CI: 1.001–1.046) at lag 26, and RR of the cumulative cold effect of 0–27 days was 1.302 (95%CI: 1.160–1.462). The effect of extremely high temperatures presented more acute and intense, with the largest RR of 1.033 (95%CI: 1.004–1.063) at lag 0. RR of the cumulative hot effect of 0–3 days was 1.056 (1.008–1.106). In addition, females were more susceptible to extremely low temperatures, while males were more vulnerable to extremely high temperatures. This study demonstrated that extremely low temperatures have a stronger effect on circulatory mortality than extremely high temperatures in Harbin.
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Funding
This work was supported by grants from the National Natural Science Foundation of China (grant no 41975141). Part of the work was funded by a Scholarship awarded to Yuxia Ma (File No. 20206185010) supported by the China Scholarship Council.
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Yuxia Ma designed and carried out the research; Heping Li set up models and data analysis; Bowen Cheng and Yifan Zhang collected and assembled data; Fengliu Feng and Pengpeng Qin analyzed data; Haoran Jiao collected data; Yuxia Ma and Heping Li wrote and revised the manuscript.
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Ma, Y., Li, H., Qin, P. et al. Extreme temperatures and circulatory mortality in a temperate continental monsoon climate city in Northeast China. Environ Sci Pollut Res 30, 21661–21670 (2023). https://doi.org/10.1007/s11356-022-23622-4
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DOI: https://doi.org/10.1007/s11356-022-23622-4