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The Mortality Response to Absolute and Relative Temperature Extremes

机译:死亡率对绝对和相对温度极限的响应

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摘要

While the impact of absolute extreme temperatures on human health has been amply studied, far less attention has been given to relative temperature extremes, that is, events that are highly unusual for the time of year but not necessarily extreme relative to a location’s overall climate. In this research, we use a recently defined extreme temperature event metric to define absolute extreme heat events (EHE) and extreme cold events (ECE) using absolute thresholds, and relative extreme heat events (REHE) and relative extreme cold events (RECE) using relative thresholds. All-cause mortality outcomes using a distributed lag nonlinear model are evaluated for the largest 51 metropolitan areas in the US for the period 1975–2010. Both the immediate impacts and the cumulative 20-day impacts are assessed for each of the extreme temperature event types. The 51 metropolitan areas were then grouped into 8 regions for meta-analysis. For heat events, the greatest mortality increases occur with a 0-day lag, with the subsequent days showing below-expected mortality (harvesting) that decreases the overall cumulative impact. For EHE, increases in mortality are still statistically significant when examined over 20 days. For REHE, it appears as though the day-0 increase in mortality is short-term displacement. For cold events, both relative and absolute, there is little mortality increase on day 0, but the impacts increase on subsequent days. Cumulative impacts are statistically significant at more than half of the stations for both ECE and RECE. The response to absolute ECE is strongest, but is also significant when using RECE across several southern locations, suggesting that there may be a lack of acclimatization, increasing mortality in relative cold events both early and late in winter.
机译:尽管已经充分研究了极端极端温度对人体健康的影响,但对极端极端温度的关注却很少,也就是说,相对温度极端事件在一年中的某个时候非常罕见,但相对于某个地区的整体气候却不一定极端。在这项研究中,我们使用最近定义的极端温度事件度量标准,使用绝对阈值定义绝对极端温度事件(EHE)和极端寒冷事件(ECE),并使用以下方法定义相对极端温度事件(REHE)和相对极端寒冷事件(RECE)相对阈值。使用分布滞后非线性模型对美国最大的51个大都市地区在1975-2010年期间的全因死亡率结果进行了评估。对于每种极端温度事件类型,都将评估直接影响和20天累积影响。然后将51个大都市区分为8个区域进行荟萃分析。对于高温事件,最大的死亡率增加是在0天的延迟之后发生的,随后的几天显示出低于预期的死亡率(收获),从而降低了总体累积影响。对于EHE,经过20天的检查,死亡率的增加仍具有统计学意义。对于REHE,似乎死亡率的第0天增加是短期流离失所。对于相对和绝对的寒冷事件,在第0天死亡率几乎没有增加,但是在随后的几天中影响增加。对于欧洲经委会和欧洲经委会,超过一半的监测站的累积影响具有统计意义。对绝对ECE的响应最强,但在南部多个地方使用RECE时也很重要,这表明可能缺乏适应能力,从而增加了冬季初夏时分相对寒冷事件的死亡率。

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