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全球、区域和国家与短期温度变化相关的死亡率负担:2000-19 年的三阶段建模研究。

Global, regional, and national burden of mortality associated with short-term temperature variability from 2000-19: a three-stage modelling study.

机构信息

Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.

Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.

出版信息

Lancet Planet Health. 2022 May;6(5):e410-e421. doi: 10.1016/S2542-5196(22)00073-0.

Abstract

BACKGROUND

Increased mortality risk is associated with short-term temperature variability. However, to our knowledge, there has been no comprehensive assessment of the temperature variability-related mortality burden worldwide. In this study, using data from the MCC Collaborative Research Network, we first explored the association between temperature variability and mortality across 43 countries or regions. Then, to provide a more comprehensive picture of the global burden of mortality associated with temperature variability, global gridded temperature data with a resolution of 0·5° × 0·5° were used to assess the temperature variability-related mortality burden at the global, regional, and national levels. Furthermore, temporal trends in temperature variability-related mortality burden were also explored from 2000-19.

METHODS

In this modelling study, we applied a three-stage meta-analytical approach to assess the global temperature variability-related mortality burden at a spatial resolution of 0·5° × 0·5° from 2000-19. Temperature variability was calculated as the SD of the average of the same and previous days' minimum and maximum temperatures. We first obtained location-specific temperature variability related-mortality associations based on a daily time series of 750 locations from the Multi-country Multi-city Collaborative Research Network. We subsequently constructed a multivariable meta-regression model with five predictors to estimate grid-specific temperature variability related-mortality associations across the globe. Finally, percentage excess in mortality and excess mortality rate were calculated to quantify the temperature variability-related mortality burden and to further explore its temporal trend over two decades.

FINDINGS

An increasing trend in temperature variability was identified at the global level from 2000 to 2019. Globally, 1 753 392 deaths (95% CI 1 159 901-2 357 718) were associated with temperature variability per year, accounting for 3·4% (2·2-4·6) of all deaths. Most of Asia, Australia, and New Zealand were observed to have a higher percentage excess in mortality than the global mean. Globally, the percentage excess in mortality increased by about 4·6% (3·7-5·3) per decade. The largest increase occurred in Australia and New Zealand (7·3%, 95% CI 4·3-10·4), followed by Europe (4·4%, 2·2-5·6) and Africa (3·3, 1·9-4·6).

INTERPRETATION

Globally, a substantial mortality burden was associated with temperature variability, showing geographical heterogeneity and a slightly increasing temporal trend. Our findings could assist in raising public awareness and improving the understanding of the health impacts of temperature variability.

FUNDING

Australian Research Council, Australian National Health & Medical Research Council.

摘要

背景

短期温度变化与死亡率升高有关。然而,据我们所知,目前还没有对全球范围内与温度变化有关的死亡率负担进行全面评估。在这项研究中,我们使用 MCC 协作研究网络的数据,首先探讨了 43 个国家或地区的温度变化与死亡率之间的关系。然后,为了更全面地了解与温度变化有关的全球死亡率负担,我们使用全球分辨率为 0.5°×0.5°的全球网格化温度数据,评估了全球、区域和国家各级与温度变化有关的死亡率负担。此外,我们还探讨了 2000-19 年期间与温度变化有关的死亡率负担的时间趋势。

方法

在这项建模研究中,我们应用了三阶段荟萃分析方法,以评估 2000-19 年期间全球以 0.5°×0.5°空间分辨率的与温度变化有关的死亡率负担。温度变化被计算为相同和前一天的最低和最高温度的平均值的标准差。我们首先根据多国家多城市协作研究网络的 750 个地点的每日时间序列获得与地点相关的与温度变化有关的死亡率关系。然后,我们构建了一个包含五个预测因子的多变量荟萃回归模型,以估计全球各地特定网格与温度变化有关的死亡率关系。最后,计算超额死亡率和超额死亡率,以量化与温度变化有关的死亡率负担,并进一步探讨过去二十年的时间趋势。

发现

从 2000 年到 2019 年,在全球范围内发现了温度变化的上升趋势。全球每年有 1753392 人(95%CI 1159901-2357718)与温度变化有关,占所有死亡人数的 3.4%(2.2-4.6)。亚洲、澳大利亚和新西兰的大部分地区的超额死亡率都高于全球平均值。全球范围内,超额死亡率每十年增加约 4.6%(3.7-5.3)。增幅最大的是澳大利亚和新西兰(7.3%,95%CI 4.3-10.4),其次是欧洲(4.4%,2.2-5.6)和非洲(3.3,1.9-4.6)。

解释

全球范围内,与温度变化有关的死亡率负担很大,表现出地域差异和略有增加的时间趋势。我们的研究结果可以帮助提高公众的认识,并提高对温度变化对健康影响的理解。

资金

澳大利亚研究理事会、澳大利亚国家卫生与医学研究理事会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6013/9177161/2aa0a911e1eb/nihms-1805417-f0001.jpg

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