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Humidity May Modify the Relationship between Temperature and Cardiovascular Mortality in Zhejiang Province China

机译:湿度可能会改变温度与浙江省心血管死亡率的关系

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摘要

Background: The evidence of increased mortality attributable to extreme temperatures is widely characterized in climate-health studies. However, few of these studies have examined the role of humidity on temperature-mortality association. We investigated the joint effect between temperature and humidity on cardiovascular disease (CVD) mortality in Zhejiang Province, China. Methods: We collected data on daily meteorological and CVD mortality from 11 cities in Zhejiang Province during 2010–2013. We first applied time-series Poisson regression analysis within the framework of distributed lag non-linear models to estimate the city-specific effect of temperature and humidity on CVD mortality, after controlling for temporal trends and potential confounding variables. We then applied a multivariate meta-analytical model to pool the effect estimates in the 11 cities to generate an overall provincial estimate. The joint effects between them were calculated by the attributable fraction (AF). The analyses were further stratified by gender, age group, education level, and location of cities. Results: In total, 120,544 CVD deaths were recorded in this study. The mean values of temperature and humidity were 17.6 °C and 72.3%. The joint effect between low temperature and high humidity had the greatest impact on the CVD death burden over a lag of 0–21 days with a significant AF of 31.36% (95% eCI: 14.79–38.41%), while in a condition of low temperature and low humidity with a significant AF of 16.74% (95% eCI: 0.89, 24.44). The AFs were higher at low temperature and high humidity in different subgroups. When considering the levels of humidity, the AFs were significant at low temperature and high humidity for males, youth, those with a low level of education, and coastal area people. Conclusions: The combination of low temperature and high humidity had the greatest impact on the CVD death burden in Zhejiang Province. This evidence has important implications for developing CVD interventions.
机译:背景:气候健康研究广泛地描述了由于极端温度导致死亡率增加的证据。然而,这些研究很少检查湿度对温度-死亡率关联的作用。我们调查了温度和湿度对中国浙江省心血管疾病(CVD)死亡率的联合影响。方法:我们收集了2010-2013年浙江省11个城市的每日气象和CVD死亡率数据。在控制了时间趋势和潜在的混杂变量之后,我们首先在分​​布滞后非线性模型的框架内应用了时间序列Poisson回归分析,以估计城市温度和湿度对CVD死亡率的特定影响。然后,我们应用了多元荟萃分析模型来汇总11个城市的影响估计,以产生总体的省估计。它们之间的联合效应是通过归因分数(AF)计算的。根据性别,年龄组,受教育程度和城市位置进一步对分析进行了分层。结果:这项研究总共记录了120544例CVD死亡。温度和湿度的平均值是17.6°C和72.3%。低温和高湿度之间的联合效应在0-21天的滞后中对CVD的死亡负担影响最大,AF显着为31.36%(95%eCI:14.79-38.41%),而在较低的情况下温度和低湿度,AF值高达16.74%(95%eCI:0.89,24.44)。在不同亚组中,低温和高湿度下的房颤较高。在考虑湿度水平时,对于男性,青年,教育程度较低的人和沿海地区的人,在低温和高湿度条件下,AF表现显着。结论:低温高湿相结合对浙江省的CVD死亡负担影响最大。该证据对开展CVD干预具有重要意义。

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