• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

西班牙三十多年(1983-2013 年)热浪对每日死亡率影响的时间趋势。

Time trend in the impact of heat waves on daily mortality in Spain for a period of over thirty years (1983-2013).

机构信息

National School of Public Health, Carlos III Institute of Health, Avda. Monforte de Lemos, 5, 28029 Madrid, Spain.

National School of Public Health, Carlos III Institute of Health, Avda. Monforte de Lemos, 5, 28029 Madrid, Spain.

出版信息

Environ Int. 2018 Jul;116:10-17. doi: 10.1016/j.envint.2018.04.001. Epub 2018 Apr 7.

DOI:10.1016/j.envint.2018.04.001
PMID:29635092
Abstract

Many of the studies that analyze the future impact of climate change on mortality assume that the temperature that constitutes a heat wave will not change over time. This is unlikely, however, given the process of adapting to heat changes, prevention plans, and improvements in social and health infrastructure. The objective of this study is to analyze whether, during the 1983-2013 period, there has been a temporal change in the maximum daily temperatures that constitute a heat wave (T) in Spain, and to investigate whether there has been variation in the attributable risk (AR) associated with mortality due to high temperatures in this period. This study uses daily mortality data for natural causes except accidents CIEX: A00-R99 in municipalities of over 10,000 inhabitants in 10 Spanish provinces and maximum temperature data from observatories located in province capitals. The time series is divided into three periods: 1983-1992, 1993-2003 and 2004-2013. For each period and each province, the value of T was calculated using scatter-plot diagram of the daily mortality pre-whitened series. For each period and each province capitals, it has been calculated the number of heat waves and quantifying the impact on mortality through generalized linear model (GLM) methodology with the Poisson regression link. These models permits obtained the relative risks (RR) and attributable risks (AR). Via a meta-analysis, using the Global RR and AR were calculated the heat impact for the total of the 10 provinces. The results show that in the first two periods RR remained constant RR: 1.14 (CI95%: 1.09 1.19) and RR: 1.14 (CI95%: 1.10 1.18), while the third period shows a sharp decrease with respect to the prior two periods RR: 1.01 (CI95%: 1.00 1.01); the difference is statistically significant. In Spain there has been a sharp decrease in mortality attributable to heat over the past 10 years. The observed variation in RR puts into question the results of numerous studies that analyze the future impact of heat on mortality in different temporal scenarios and show it to be constant over time.

摘要

许多分析气候变化对死亡率未来影响的研究假设,构成热浪的温度不会随时间变化。然而,鉴于适应气温变化、预防计划以及社会和卫生基础设施的改善,这种情况不太可能发生。本研究旨在分析 1983-2013 年期间,西班牙构成热浪的日最高温度(T)是否存在时间变化,并研究在此期间,由于高温导致的归因风险(AR)是否存在变化。本研究使用了 10 个西班牙省份 10000 人以上的城市自然原因(除事故外)的每日死亡率数据和位于省会的观测站的最高温度数据。时间序列分为三个时期:1983-1992 年、1993-2003 年和 2004-2013 年。对于每个时期和每个省份,使用每日死亡率预白化系列的散点图计算 T 值。对于每个时期和每个省会城市,计算了热浪的数量,并通过广义线性模型(GLM)方法和泊松回归链接量化了对死亡率的影响。这些模型得出了相对风险(RR)和归因风险(AR)。通过荟萃分析,使用全球 RR 和 AR 计算了 10 个省份的总热量影响。结果表明,在前两个时期,RR 保持不变(RR:1.14[95%CI:1.09-1.19]和 RR:1.14[95%CI:1.10-1.18]),而第三个时期与前两个时期相比,RR 急剧下降(RR:1.01[95%CI:1.00-1.01]);差异具有统计学意义。在过去的 10 年里,西班牙归因于热浪的死亡率急剧下降。RR 的观察到的变化质疑了许多分析不同时间情景下热对死亡率未来影响的研究结果,并表明其随时间保持不变。

相似文献

1
Time trend in the impact of heat waves on daily mortality in Spain for a period of over thirty years (1983-2013).西班牙三十多年(1983-2013 年)热浪对每日死亡率影响的时间趋势。
Environ Int. 2018 Jul;116:10-17. doi: 10.1016/j.envint.2018.04.001. Epub 2018 Apr 7.
2
Mortality attributable to high temperatures over the 2021-2050 and 2051-2100 time horizons in Spain: Adaptation and economic estimate.西班牙 2021-2050 年和 2051-2100 年高温相关死亡率:适应与经济评估。
Environ Res. 2019 May;172:475-485. doi: 10.1016/j.envres.2019.02.041. Epub 2019 Feb 27.
3
Temporal evolution of threshold temperatures for extremely cold days in Spain.西班牙极端寒冷日的阈值温度的时间演变。
Sci Total Environ. 2022 Oct 20;844:157183. doi: 10.1016/j.scitotenv.2022.157183. Epub 2022 Jul 6.
4
Time trends in the impact attributable to cold days in Spain: Incidence of local factors.西班牙归因于寒冷天气天数的影响的时间趋势:局部因素的发生率。
Sci Total Environ. 2019 Mar 10;655:305-312. doi: 10.1016/j.scitotenv.2018.11.254. Epub 2018 Nov 19.
5
Comparison of the effects of extreme temperatures on daily mortality in Madrid (Spain), by age group: The need for a cold wave prevention plan.西班牙马德里极端温度对不同年龄组每日死亡率影响的比较:制定寒潮预防计划的必要性。
Environ Res. 2015 Nov;143(Pt A):186-91. doi: 10.1016/j.envres.2015.10.018. Epub 2015 Oct 21.
6
The evolution of minimum mortality temperatures as an indicator of heat adaptation: The cases of Madrid and Seville (Spain).最低死亡率温度作为热适应指标的演变:马德里和塞维利亚(西班牙)的案例。
Sci Total Environ. 2020 Dec 10;747:141259. doi: 10.1016/j.scitotenv.2020.141259. Epub 2020 Aug 1.
7
Mortality attributable to extreme temperatures in Spain: A comparative analysis by city.西班牙极端气温导致的死亡率:按城市进行的比较分析。
Environ Int. 2016 May;91:22-8. doi: 10.1016/j.envint.2016.02.018. Epub 2016 Feb 21.
8
Trends in temperature-related age-specific and sex-specific mortality from cardiovascular diseases in Spain: a national time-series analysis.西班牙与温度相关的心血管疾病的年龄和性别特异性死亡率趋势:一项全国时间序列分析。
Lancet Planet Health. 2019 Jul;3(7):e297-e306. doi: 10.1016/S2542-5196(19)30090-7. Epub 2019 Jun 21.
9
Analysis of the impact of heat waves on daily mortality in urban and rural areas in Madrid.分析热浪对马德里城乡地区日死亡率的影响。
Environ Res. 2021 Apr;195:110892. doi: 10.1016/j.envres.2021.110892. Epub 2021 Feb 17.
10
Mortality on extreme heat days using official thresholds in Spain: a multi-city time series analysis.在西班牙,使用官方阈值的极端高温日死亡率:多城市时间序列分析。
BMC Public Health. 2012 Feb 17;12:133. doi: 10.1186/1471-2458-12-133.

引用本文的文献

1
A new approach to estimate the heat thresholds at the county level in China.一种估算中国县级热阈值的新方法。
BMC Public Health. 2025 May 1;25(1):1606. doi: 10.1186/s12889-025-22834-w.
2
The graded heat-health risk forecast and early warning with full-season coverage across China: a predicting model development and evaluation study.中国全季节覆盖的分级热健康风险预测与预警:预测模型的开发与评估研究
Lancet Reg Health West Pac. 2025 Jan 11;54:101266. doi: 10.1016/j.lanwpc.2024.101266. eCollection 2025 Jan.
3
Assessing population vulnerability towards summer energy poverty: Case studies of Madrid and London.
评估城市应对夏季能源贫困的脆弱性:马德里和伦敦的案例研究。
Energy Build. 2019 May 1;190:132-143. doi: 10.1016/j.enbuild.2019.02.024.
4
Geographical Patterns in Mortality Impacts Due To Heatwaves of Different Characteristics in Spanish Cities.西班牙城市中不同特征热浪造成的死亡影响的地理模式。
Geohealth. 2024 Aug 5;8(8):e2024GH001092. doi: 10.1029/2024GH001092. eCollection 2024 Aug.
5
Heat Adaptation among the Elderly in Spain (1983-2018).西班牙老年人的热适应(1983-2018)。
Int J Environ Res Public Health. 2023 Jan 11;20(2):1314. doi: 10.3390/ijerph20021314.
6
Extreme Temperature and Mortality by Educational Attainment in Spain, 2012-2018.2012 - 2018年西班牙按教育程度划分的极端温度与死亡率
Eur J Popul. 2022 Oct 3;38(5):1145-1182. doi: 10.1007/s10680-022-09641-4. eCollection 2022 Dec.
7
Climate change and human health in the Eastern Mediterranean and Middle East: Literature review, research priorities and policy suggestions.气候变化与东地中海和中东地区的人类健康:文献综述、研究重点和政策建议。
Environ Res. 2023 Jan 1;216(Pt 2):114537. doi: 10.1016/j.envres.2022.114537. Epub 2022 Oct 21.
8
From single to multivariable exposure models to translate climatic and air pollution effects into mortality risk. A customized application to the city of Rome, Italy.从单变量到多变量暴露模型,将气候和空气污染影响转化为死亡风险。意大利罗马市的定制应用。
MethodsX. 2022 May 5;9:101717. doi: 10.1016/j.mex.2022.101717. eCollection 2022.
9
Asymmetrical Shift Toward Longer Dry Spells Associated with Warming Temperatures During Russian Summers.俄罗斯夏季期间,与气温升高相关的干旱期延长的不对称变化。
Geophys Res Lett. 2019 Oct 28;46(20):11455-11462. doi: 10.1029/2019GL084748. Epub 2019 Oct 30.
10
Spatial Variability in the Effect of High Ambient Temperature on Mortality: An Analysis at Municipality Level within the Greater Athens Area.高环境温度对死亡率影响的空间变异性:大雅典地区市级层面的分析。
Int J Environ Res Public Health. 2019 Sep 30;16(19):3689. doi: 10.3390/ijerph16193689.