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Short-term effects of extreme temperatures on cause specific cardiovascular admissions in Beijing, China

机译：极端温度对北京北京事业特异性心血管招生的短期影响

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摘要

Extreme temperature-related cardiovascular diseases (CVDs) have become a growing public health concern. However, the impact of temperature on the cause of specific CVDs has not been well studied in the study area. The objective of this study was to assess the impact of temperature on cause-specific cardiovascular hospital admissions in Beijing, China. We obtained data from 172 large general hospitals from the Beijing Public Health Information Center Cardiovascular Case Database and China. Meteorological Administration covering 16 districts in Beijing from 2013 to 2017. We used a time-stratified case crossover design with a distributed lag nonlinear model (DLNM) to derive the impact of temperature on CVD in hospitals back to 27 days on CVD admissions. The temperature data were stratified as cold (extreme and moderate ) and hot (moderate and extreme ). Within five years (January 2013-December 2017), a total of 460,938 (male 54.9% and female 45.1%) CVD admission cases were reported. The exposure-response relationship for hospitalization was described by a "J" shape for the total and cause-specific. An increase in the six-day moving average temperature from moderate hot (30.2 °C) to extreme hot (36.9 °C) resulted in a significant increase in CVD admissions of 16.1%(95% CI = 12.8%-28.9%). However, the effect of cold temperature exposure on CVD admissions over a lag time of 0-27 days was found to be non significant, with a relative risk of 0.45 (95% CI = 0.378-0.55) for extreme cold (-8.5 °C)and 0.53 (95% CI = 0.47-0.60) for moderate cold (-5.6 °C). The results of this study indicate that exposure to extremely high temperatures is highly associated with an increase in cause-specific CVD admissions. These finding may guide to create and raise awareness of the general population, government and private sectors regarding on the effects of current weather conditions on CVD.
机译：与极端温度相关的心血管疾病（CVDS）已成为越来越多的公共卫生问题。然而，在研究区内没有很好地研究了温度对特定CVDS原因的影响。本研究的目的是评估温度对中国北京造成特异性心血管医院入学的影响。从北京公共卫生信息中心心血管数据库和中国获得172名大型综合医院的数据。 2013年至2017年北京覆盖了16个地区的气象。我们使用了一个时间分层的案例交叉设计，分布式滞后非线性模型（DLNM），在CVD入学时将温度的温度源于CVD的影响返回27天。温度数据分层为冷（极端和中等）和热（中等和极端）。在五年内（2017年1月至2017年12月），报告了460,938名（男性54.9％和女性45.1％）CVD入学案件。通过为总和特异性的“J”形来描述用于住院的暴露 - 响应关系。从中等热（30.2°C）到极热（36.9°C）的六天移动平均温度的增加导致12.1％的CVD入院的显着增加（95％CI = 12.8％-28.9％）。然而，发现寒冷暴露对0-27天的延迟时间的CVD途径的影响是非显着的，相对风险为0.45（95％CI = 0.378-0.55），用于极冷（-8.5°C ）和0.53（95％CI = 0.47-0.60），适用于中等冷（-5.6°C）。该研究的结果表明，暴露于极高的温度与原因特异性CVD录取的增加高。这些发现可以指导创造和提高对普通人口，政府和私营部门的认识，就目前天气状况对CVD的影响。

著录项

  • 来源
    《Environmental research》 |2020年第7期|109455.1-109455.9|共9页
  • 作者

    Deginet Aklilu; Tianqi Wang; Endwoke Amsalu; Wei Feng; Zhiwei Li; Xia Li; Lixin Tao; Yanxia Luo; Moning Guo; Xiangtong Liu; Xiuhua Guo;

  • 作者单位

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University Beijing China Beijing Municipal Key Laboratory of Clinical Epidemiology Capital Medical University Beijing China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University Beijing China Beijing Municipal Commission of Health and Family Planning Information Center China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University Beijing China Beijing Municipal Key Laboratory of Clinical Epidemiology Capital Medical University Beijing China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University Beijing China Beijing Municipal Key Laboratory of Clinical Epidemiology Capital Medical University Beijing China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University Beijing China Beijing Municipal Key Laboratory of Clinical Epidemiology Capital Medical University Beijing China;

    Department of Mathematics and Statistics La Trobe University Melbourne Victona Australia;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University Beijing China Beijing Municipal Key Laboratory of Clinical Epidemiology Capital Medical University Beijing China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University Beijing China Beijing Municipal Key Laboratory of Clinical Epidemiology Capital Medical University Beijing China;

    Beijing Municipal Commission of Health and Family Planning Information Center China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University Beijing China Beijing Municipal Key Laboratory of Clinical Epidemiology Capital Medical University Beijing China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University Beijing China Beijing Municipal Key Laboratory of Clinical Epidemiology Capital Medical University Beijing China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Admission; Beijing; Cardiovascular disease; Distributed lag nonlinear model; Temperature;

    机译：入学;北京;心血管疾病;分布式滞后非线性模型;温度;

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