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A new method to estimate the temperature-CVD mortality relationship

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Abstract

Few detailed, individual-focused studies have researched the added effect of temperature on cardiovascular disease (CVD), particularly in China. Moreover, no prior studies have explored the exposure-response relationship among all populations and different sub-sociodemographic groups. A distributed lag nonlinear model (DLNM) was applied to evaluate the adverse health effects of temperature on CVD mortality for all populations and different sub-sociodemographic groups (by age, sex, educational level, living arrangement, and occupation) in Beijing. Based on the exposure-response relationships, firstly, we proposed a new model (COCKTAIL, Code Of Climate Key To An Ill) for revealing the split-and-merge relationships of the temperature-CVD mortality curve. This method could be used to apply the CVD deaths in a studied area to forecast the exposure-response relationships in the same area in the future. Secondly, this is the most detailed study to analyze the relationship between temperature and CVD mortality for different subgroups among the existing researches for developed and developing countries. We found that the cold temperature (at − 14 °C) was the risk factor for people with low socioeconomic status, especially for single people (including unmarried, divorced, and widowed), for indoor workers, and for people with low education, compared with the minimum mortality temperature, with a cumulative increase of 3.9 (80%CI, 2.9–5.4), 3.8 (80%CI, 2.8–5.1), and 4.5 (80%CI, 3.1–6.3) times respectively. Meanwhile, the hot temperature (at 35 °C) was the risk factor for CVD death, with a cumulative increase of 2.6 (80%CI, 2.0–3.4) for females, and 3.1 (80%CI, 2.4–4.2) for single people. The varying CVD vulnerability in terms of CVD mortality among various groups may assist governments in preparing health resources and taking measures to prevent or reduce temperature-related deaths.

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Funding

This work was supported by the National Natural Science Foundation of China (grant nos. 41531179 and 41421001) and the Ministry of Science and Technology of China (grant no. 2014FY121100). The funders played no role in determining the study design, data collection, or analysis methods employed; in our decision to publish; or in preparing the manuscript.

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Authors and Affiliations

  1. State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences, Institute of Geographic Sciences and Nature Resources Research, A11, Datun Road, Beijing, China

    Qian Yin & Jinfeng Wang

  2. The University of Chinese Academy of Sciences, Beijing, China

    Jinfeng Wang

  3. Beijing Municipal Center for Disease Prevention and Control, Beijing, China

    Jianting Su & Zaihua Wei

  4. Beijing Research Center for Preventive Medicine, Beijing, China

    Jianting Su & Zaihua Wei

Authors
  1. Qian Yin
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  2. Jinfeng Wang
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  3. Jianting Su
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  4. Zaihua Wei
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Correspondence to Jinfeng Wang.

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Table S1

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Supplementary Fig. S1

The exposure-response relationships between daily mean temperature and CVD cumulative relative mortality risk for different subgroups: (a) by sex; (b) by age; (c) by educational level; (d) by living arrangement and (e) by occupation. (DOCX 132 kb)

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Yin, Q., Wang, J., Su, J. et al. A new method to estimate the temperature-CVD mortality relationship. Environ Sci Pollut Res 26, 8895–8901 (2019). https://doi.org/10.1007/s11356-019-04247-6

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  • DOI: https://doi.org/10.1007/s11356-019-04247-6

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