• 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

气候变化对台湾地区中风发病率的预测:2°C 和 4°C 全球变暖水平的影响。

Climate Change Projections for Stroke Incidence in Taiwan: Impact of 2 °C and 4 °C Global Warming Level.

机构信息

National Institute of Environmental Health Sciences, National Health Research Institutes, No. 35, Keyan Rd., Zhunan Township, Miaoli County, 350401, Taiwan, ROC.

Institute of Environmental and Occupational Health Sciences, National Yang-Ming Chiao Tung University, Taipei, Taiwan.

出版信息

J Epidemiol Glob Health. 2024 Sep;14(3):1319-1331. doi: 10.1007/s44197-024-00289-3. Epub 2024 Sep 2.

DOI:10.1007/s44197-024-00289-3
PMID:39222225
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11442790/
Abstract

OBJECTIVES

This study aimed to establish the exposure-lag-response effect between daily maximum temperature and stroke-related emergency department visits and to project heat-induced stroke impacts under global warming levels (GWL) of 2 °C and 4 °C.

METHODS

Stroke-related emergency department visits in Taiwan from 2001 to 2020 were identified using the National Health Insurance Research Database (NHIRD). The study population consisted of 1,100,074 initial stroke cases matched with 2,200,148 non-stroke controls. We employed Distributed Lag Nonlinear Models (DLNM) in a case-crossover study to investigate the association between temperature and stroke. Generalized Estimating Equations (GEE) models with a Poisson function were used to correlate high-temperature exposure with annual stroke incidence rates. Projections were made under two global warming scenarios, GWL 2.0 °C and 4.0 °C, using Coupled General Circulation Model (GCMs). Baseline data from 1995 to 2014 were transformed for spatial distribution at the township level. Geographic Information System (GIS) spatial analysis was performed using Quantum GIS 3.2.0 software.

RESULTS

DLNM exposure-lag-response effect revealed that daily maximum temperature exceeding 34 °C significantly increased the risk of stroke-related emergency department visits, particularly for ischemic stroke. Under the 2 °C GWL scenario, the frequency of days with temperatures surpassing 34 °C is projected to rise substantially by the median year of 2042, with a further increase to 92.6 ± 18.0 days/year by 2065 under the 4 °C GWL scenario. Ischemic stroke showed the highest increase in temperature-related incidence rates, notably rising from 7.80% under the GWL 2 °C to 36.06% under the GWL 4 °C. Specifically, the annual temperature-related incidence rate for ischemic stroke is expected to increase significantly by 2065. Regions such as Taichung, Hsinchu, Yilan, and Taitung demonstrated pronounced changes in heat-related ischemic stroke incidence under the GWL 4 °C.

CONCLUSIONS

The findings emphasize the importance of addressing temperature-related stroke risks, particularly in regions projected to experience significant temperature increases. Effective mitigation strategies are crucial to reduce the impact of rising temperatures on stroke incidence and safeguard public health.

摘要

目的

本研究旨在建立每日最高温度与中风相关急诊就诊之间的暴露-滞后-反应关系,并预测在全球升温水平(GWL)为 2°C 和 4°C 下的热诱导中风影响。

方法

利用国家健康保险研究数据库(NHIRD),从 2001 年至 2020 年确定了与中风相关的急诊就诊情况。研究人群由 1100074 例首发中风病例和 2200148 例非中风对照组成。我们采用病例交叉研究中的分布滞后非线性模型(DLNM)来研究温度与中风之间的关系。采用泊松函数的广义估计方程(GEE)模型将高温暴露与每年中风发病率相关联。在全球升温情景 2.0°C 和 4.0°C 下,利用耦合通用环流模型(GCM)进行预测。1995 年至 2014 年的基线数据被转换为乡镇级别的空间分布。使用 Quantum GIS 3.2.0 软件进行地理信息系统(GIS)空间分析。

结果

DLNM 暴露-滞后-反应效应显示,每日最高温度超过 34°C 会显著增加中风相关急诊就诊的风险,尤其是缺血性中风。在 2°C GWL 情景下,到 2042 年中位数年份,温度超过 34°C 的天数频率预计会大幅上升,而在 4°C GWL 情景下,到 2065 年进一步增加到 92.6±18.0 天/年。缺血性中风的与温度相关的发病率上升幅度最大,尤其是在 GWL 2°C 时从 7.80%上升到 GWL 4°C 时的 36.06%。具体而言,预计到 2065 年,缺血性中风的年度与温度相关的发病率将显著增加。在 GWL 4°C 下,台中、新竹、宜兰和台东等地区的与热相关的缺血性中风发病率发生了显著变化。

结论

这些发现强调了应对与温度相关的中风风险的重要性,特别是在预计温度会显著升高的地区。有效的缓解策略对于减少温度升高对中风发病率的影响和保障公众健康至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00ee/11442790/85c233e35050/44197_2024_289_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00ee/11442790/db47ff01c5b8/44197_2024_289_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00ee/11442790/33ac7ce19cc8/44197_2024_289_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00ee/11442790/fcd6cc4c2689/44197_2024_289_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00ee/11442790/85c233e35050/44197_2024_289_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00ee/11442790/db47ff01c5b8/44197_2024_289_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00ee/11442790/33ac7ce19cc8/44197_2024_289_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00ee/11442790/fcd6cc4c2689/44197_2024_289_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00ee/11442790/85c233e35050/44197_2024_289_Fig4_HTML.jpg

相似文献

1
Climate Change Projections for Stroke Incidence in Taiwan: Impact of 2 °C and 4 °C Global Warming Level.气候变化对台湾地区中风发病率的预测:2°C 和 4°C 全球变暖水平的影响。
J Epidemiol Glob Health. 2024 Sep;14(3):1319-1331. doi: 10.1007/s44197-024-00289-3. Epub 2024 Sep 2.
2
Projected Temperature-Related Years of Life Lost From Stroke Due To Global Warming in a Temperate Climate City, Asia: Disease Burden Caused by Future Climate Change.由于全球变暖,亚洲温带气候城市中风导致预期寿命损失年数的预测:未来气候变化导致的疾病负担。
Stroke. 2018 Apr;49(4):828-834. doi: 10.1161/STROKEAHA.117.020042. Epub 2018 Mar 9.
3
Temperature-related mortality burden and projected change in 1368 European regions: a modelling study.欧洲 1368 个地区与温度相关的死亡负担及预计变化:一项建模研究。
Lancet Public Health. 2024 Sep;9(9):e644-e653. doi: 10.1016/S2468-2667(24)00179-8. Epub 2024 Aug 21.
4
Future ozone-related acute excess mortality under climate and population change scenarios in China: A modeling study.未来中国气候和人口变化情景下与臭氧有关的急性超额死亡率:一项建模研究。
PLoS Med. 2018 Jul 3;15(7):e1002598. doi: 10.1371/journal.pmed.1002598. eCollection 2018 Jul.
5
Projection of future temperature extremes, related mortality, and adaptation due to climate and population changes in Taiwan.台湾地区未来因气候和人口变化导致的极端温度预测、相关死亡率及适应对策。
Sci Total Environ. 2021 Mar 15;760:143373. doi: 10.1016/j.scitotenv.2020.143373. Epub 2020 Nov 1.
6
Climate Change and Diarrhoeal Disease Burdens in the Gaza Strip, Palestine: Health Impacts of 1.5 °C and 2 °C Global Warming Scenarios.气候变化与巴勒斯坦加沙地带腹泻病负担:全球升温 1.5°C 和 2°C 情景下的健康影响
Int J Environ Res Public Health. 2022 Apr 18;19(8):4898. doi: 10.3390/ijerph19084898.
7
Current and Projected Heat-Related Morbidity and Mortality in Rhode Island.罗德岛当前及预计的与高温相关的发病率和死亡率
Environ Health Perspect. 2016 Apr;124(4):460-7. doi: 10.1289/ehp.1408826. Epub 2015 Aug 7.
8
Temperature-related excess mortality in German cities at 2 °C and higher degrees of global warming.全球变暖 2°C 及以上时德国城市与温度相关的超额死亡率。
Environ Res. 2020 Jul;186:109447. doi: 10.1016/j.envres.2020.109447. Epub 2020 Mar 29.
9
Impacts of climate change on diarrhoeal disease hospitalisations: How does the global warming targets of 1.5-2°C affect Dhaka, Bangladesh?气候变化对腹泻病住院的影响:1.5-2°C 的全球变暖目标将如何影响孟加拉国达卡?
PLoS Negl Trop Dis. 2024 Sep 26;18(9):e0012139. doi: 10.1371/journal.pntd.0012139. eCollection 2024 Sep.
10
When could global warming reach 4°C?全球变暖何时会达到 4°C?
Philos Trans A Math Phys Eng Sci. 2011 Jan 13;369(1934):67-84. doi: 10.1098/rsta.2010.0292.

引用本文的文献

1
Climate change and environmental sustainability in emergency medicine: a narrative review.急诊医学中的气候变化与环境可持续性:一项叙述性综述
Ann Transl Med. 2025 Jun 27;13(3):31. doi: 10.21037/atm-25-57. Epub 2025 Jun 24.

本文引用的文献

1
Associations Between Extreme Temperatures and Cardiovascular Cause-Specific Mortality: Results From 27 Countries.极端温度与心血管疾病死因特异性死亡率之间的关联:来自 27 个国家的结果。
Circulation. 2023 Jan 3;147(1):35-46. doi: 10.1161/CIRCULATIONAHA.122.061832. Epub 2022 Dec 12.
2
The 2022 report of the Lancet Countdown on health and climate change: health at the mercy of fossil fuels.《柳叶刀倒计时报告 2022:健康在化石燃料面前不堪一击》。
Lancet. 2022 Nov 5;400(10363):1619-1654. doi: 10.1016/S0140-6736(22)01540-9. Epub 2022 Oct 25.
3
Short-term effects of personal exposure to temperature variability on cardiorespiratory health based on subclinical non-invasive biomarkers.
基于亚临床非侵入性生物标志物的个人暴露于温度变异性对心肺健康的短期影响。
Sci Total Environ. 2022 Oct 15;843:157000. doi: 10.1016/j.scitotenv.2022.157000. Epub 2022 Jun 28.
4
Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.1990—2019年全球、区域和国家的卒中负担及其风险因素:全球疾病负担研究2019的系统分析
Lancet Neurol. 2021 Oct;20(10):795-820. doi: 10.1016/S1474-4422(21)00252-0. Epub 2021 Sep 3.
5
Projections of excess cardiovascular mortality related to temperature under different climate change scenarios and regionalized climate model simulations in Brazilian cities. projections of excess cardiovascular mortality related to temperature under different climate change scenarios and regionalized climate model simulations in Brazilian cities
Environ Res. 2021 Jun;197:110995. doi: 10.1016/j.envres.2021.110995. Epub 2021 Mar 10.
6
Projecting heat-related excess mortality under climate change scenarios in China.预测中国气候变化情景下与热相关的超额死亡人数。
Nat Commun. 2021 Feb 15;12(1):1039. doi: 10.1038/s41467-021-21305-1.
7
Air temperature variability and high-sensitivity C reactive protein in a general population of China.中国一般人群中空气温度变化与高敏 C 反应蛋白。
Sci Total Environ. 2020 Dec 20;749:141588. doi: 10.1016/j.scitotenv.2020.141588. Epub 2020 Aug 10.
8
Projections of temperature-related cause-specific mortality under climate change scenarios in a coastal city of China.气候变化情景下中国沿海城市与温度相关的死因特异性死亡率预测。
Environ Int. 2020 Oct;143:105889. doi: 10.1016/j.envint.2020.105889. Epub 2020 Jun 30.
9
Projections of temperature-related excess mortality under climate change scenarios.气候变化情景下与温度相关的超额死亡率预测。
Lancet Planet Health. 2017 Dec;1(9):e360-e367. doi: 10.1016/S2542-5196(17)30156-0.
10
Ambient Temperature and Stroke Risk: Evidence Supporting a Short-Term Effect at a Population Level From Acute Environmental Exposures.环境温度与中风风险:急性环境暴露在人群层面支持短期影响的证据。
Stroke. 2018 Jan;49(1):255-261. doi: 10.1161/STROKEAHA.117.017838. Epub 2017 Dec 11.