The effects of temperature variability on ischemic heart disease mortality in Hangzhou, China

Abstract Ischemic heart disease (IHD) is a leading cause of death in cardiovascular patients. In China, the disease burden of IHD deaths has significantly increased. One of the main influencing factors of IHD is changing climates, and temperature and diurnal temperature range (DTR) are important ind...

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Main Authors: Zhe Mo, Manjin Xu, Yunfeng Xu, Luyang He, Huixia Niu, Feiyun Zhu, Xu Cao, Lizhi Wu, Xueqing Li, Gaofeng Cai
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-78902-5
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author Zhe Mo
Manjin Xu
Yunfeng Xu
Luyang He
Huixia Niu
Feiyun Zhu
Xu Cao
Lizhi Wu
Xueqing Li
Gaofeng Cai
author_facet Zhe Mo
Manjin Xu
Yunfeng Xu
Luyang He
Huixia Niu
Feiyun Zhu
Xu Cao
Lizhi Wu
Xueqing Li
Gaofeng Cai
author_sort Zhe Mo
collection DOAJ
description Abstract Ischemic heart disease (IHD) is a leading cause of death in cardiovascular patients. In China, the disease burden of IHD deaths has significantly increased. One of the main influencing factors of IHD is changing climates, and temperature and diurnal temperature range (DTR) are important indicators of climate change. In this study, we aimed to assess the associations of temperature variability on IHD mortality in a fast developing city Hangzhou,China. We obtained daily IHD mortality data and meteorological data from mortality surveillance system from 2014 to 2016. Quasi-Poisson generalized linear regression with a distributed lag non-linear model (DLNM) was applied to estimate the associations between temperature variability and IHD deaths. Potential confounders were controlled in the analysis, including relative humidity, day of the week, public holidays, and long-term trends. A total of 7423 IHD mortality data were included in this study. A J-shaped pattern of DTR and a reversely J-shaped pattern of temperature for IHD mortality were observed. Risk estimates showed that the relative risks (RRs) of IHD mortality with extreme high DTR at lag 0–7 days were 1.309 (95% CI: 0.985, 1.740) while RRs of IHD mortality with extreme low DTR at lag 0–2 days were 1.234 (95% CI: 1.043, 1.460). For extreme hot temperature, the highest RRs at lag 0–2 days were 1.559 (95% CI: 1.250, 1.943); for extremely cold temperatures, the RRs increased from 1.049 (95% CI: 0.930, 1.183) to 2.089 (95% CI: 1.854, 2.352). In Hangzhou city, short-term exposure to extreme temperature was associated with mortality for IHD. These findings have implications for policy decision-making and targeted interventions.
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spelling doaj-art-7db9d747dbcf4479adc00383b6bdfff02025-08-20T02:20:41ZengNature PortfolioScientific Reports2045-23222024-12-0114111010.1038/s41598-024-78902-5The effects of temperature variability on ischemic heart disease mortality in Hangzhou, ChinaZhe Mo0Manjin Xu1Yunfeng Xu2Luyang He3Huixia Niu4Feiyun Zhu5Xu Cao6Lizhi Wu7Xueqing Li8Gaofeng Cai9Zhejiang Provincial Center for Disease Control and PreventionZhejiang Provincial Center for Disease Control and PreventionZhejiang Provincial Center for Disease Control and PreventionZhejiang Provincial Center for Disease Control and PreventionZhejiang Provincial Center for Disease Control and PreventionZhejiang Provincial Center for Disease Control and PreventionZhejiang Provincial Center for Disease Control and PreventionZhejiang Provincial Center for Disease Control and PreventionZhejiang Provincial Center for Disease Control and PreventionZhejiang Provincial Center for Disease Control and PreventionAbstract Ischemic heart disease (IHD) is a leading cause of death in cardiovascular patients. In China, the disease burden of IHD deaths has significantly increased. One of the main influencing factors of IHD is changing climates, and temperature and diurnal temperature range (DTR) are important indicators of climate change. In this study, we aimed to assess the associations of temperature variability on IHD mortality in a fast developing city Hangzhou,China. We obtained daily IHD mortality data and meteorological data from mortality surveillance system from 2014 to 2016. Quasi-Poisson generalized linear regression with a distributed lag non-linear model (DLNM) was applied to estimate the associations between temperature variability and IHD deaths. Potential confounders were controlled in the analysis, including relative humidity, day of the week, public holidays, and long-term trends. A total of 7423 IHD mortality data were included in this study. A J-shaped pattern of DTR and a reversely J-shaped pattern of temperature for IHD mortality were observed. Risk estimates showed that the relative risks (RRs) of IHD mortality with extreme high DTR at lag 0–7 days were 1.309 (95% CI: 0.985, 1.740) while RRs of IHD mortality with extreme low DTR at lag 0–2 days were 1.234 (95% CI: 1.043, 1.460). For extreme hot temperature, the highest RRs at lag 0–2 days were 1.559 (95% CI: 1.250, 1.943); for extremely cold temperatures, the RRs increased from 1.049 (95% CI: 0.930, 1.183) to 2.089 (95% CI: 1.854, 2.352). In Hangzhou city, short-term exposure to extreme temperature was associated with mortality for IHD. These findings have implications for policy decision-making and targeted interventions.https://doi.org/10.1038/s41598-024-78902-5TemperatureIschemic heart diseaseMortalityDistributed lag non-linear model
spellingShingle Zhe Mo
Manjin Xu
Yunfeng Xu
Luyang He
Huixia Niu
Feiyun Zhu
Xu Cao
Lizhi Wu
Xueqing Li
Gaofeng Cai
The effects of temperature variability on ischemic heart disease mortality in Hangzhou, China
Scientific Reports
Temperature
Ischemic heart disease
Mortality
Distributed lag non-linear model
title The effects of temperature variability on ischemic heart disease mortality in Hangzhou, China
title_full The effects of temperature variability on ischemic heart disease mortality in Hangzhou, China
title_fullStr The effects of temperature variability on ischemic heart disease mortality in Hangzhou, China
title_full_unstemmed The effects of temperature variability on ischemic heart disease mortality in Hangzhou, China
title_short The effects of temperature variability on ischemic heart disease mortality in Hangzhou, China
title_sort effects of temperature variability on ischemic heart disease mortality in hangzhou china
topic Temperature
Ischemic heart disease
Mortality
Distributed lag non-linear model
url https://doi.org/10.1038/s41598-024-78902-5
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