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The Role of Humidity in Associations of High Temperature with Mortality: A Multi-City Multi-Country Study

机译:湿度在高温与死亡率之间的关系中的作用:多城市多国研究

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There is strong experimental evidence that physiologic stress from high temperatures is greater if humidity is higher. However, 'heat indices' developed to allow for this have not consistently predicted mortality better than has (dry-bulb) temperature. To clarify, we explored models for daily mortality as a function of both temperature and humidity in a large international dataset. Methods. In each of 395 cities in 17 countries we fitted a time series regression model to summer mortality with distributed lag non-linear model (DLNM) for temperature (to lag 3) and supplemented this with a range of terms for relative humidity and its interaction with temperature. City-specific associations were summarised using meta-analytic techniques. Results. There was significant variation in the association between cities and countries, with the overall association of humidity with cumulative lagO-3 mortality close to null. At very high temperatures risk did on average rise slightly with high humidity. For example, on average at 99th centile summer temperature (Vs MMT) increase=13.6% at median humidity and 0.8% higher (95%CI 0.1-1.5) at 99th centile humidity. In contrast, below the 90th centile temperature the 99th centile humidity increment was null 0.0%(-0.1,0.2). The humidity-related excess risk was overwhelmingly at lag 0, with high humidity at lag 1 usually associated with LOWER mortality, possibly reflecting an increased risk with upward change in humidity between lags 1 and 0. Results using dewpoint were very similar. Discussion. In general, allowing for humidity in addition to temperature added only marginally to ability to predict daily summer mortality in a city in models considering lags 0-2, with risk increments for higher humidity restricted to periods of very high temperature. However, in specific countries or cities atypical for this data set, or for different lag intervals, patterns may be different. On behalf of the MCC Collaborative Research Network.
机译:有强有力的实验证据表明,湿度越高,高温引起的生理压力越大。但是,为此目的开发的“热量指数”并不能始终如一地预测死亡率(干球温度)。为了明确起见,我们在大型国际数据集中探索了每日死亡率与温度和湿度的函数关系模型。方法。在17个国家/地区的395个城市中,我们为夏季死亡率拟合了时间序列回归模型,并建立了温度(至滞后3)的分布式滞后非线性模型(DLNM),并在此范围内补充了一系列相对湿度及其与环境的相互作用温度。使用荟萃分析技术总结了特定于城市的协会。结果。城市与国家之间的关联存在显着差异,湿度与lagO-3累积累积死亡率的总体关联接近零。在非常高的温度下,高湿的风险平均会略有上升。例如,平均湿度为99%时,夏季温度(Vs MMT)平均增加= 13.6%,而湿度为99%时则平均高0.8%(95%CI 0.1-1.5)。相反,在90摄氏度以下,99摄氏度的湿度增量为0.0%(-0.1,0.2)。与湿度相关的过量风险在滞后0时是压倒性的,滞后1处的高湿度通常与较低的死亡率相关,可能反映了滞后1和0之间的湿度向上变化的风险增加。使用露点的结果非常相似。讨论。通常,在考虑到滞后0-2的模型中,除了温度以外还允许增加湿度,这对于预测城市夏季夏季死亡率的能力仅会微不足道,而较高湿度的风险增加仅限于非常高的温度时期。但是,在此数据集或不同滞后间隔的非典型特定国家或城市中,模式可能有所不同。代表「我的客户中心」合作研究网路。

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