Global burden of non-optimal temperature attributable stroke: The long-term trends, population growth and aging effects

医学 人口老龄化 流行病学 人口 疾病负担 疾病负担 流行病学转变 冲程(发动机) 人口学 人口增长 老年学 环境卫生 内科学 机械工程 社会学 工程类
作者
Shijie Zhu,Jian Zhang,Chunlong Liu,Dejia Li,Yang Hong,Faxue Zhang
出处
期刊:Preventive Medicine [Elsevier]
卷期号:178: 107813-107813 被引量:2
标识
DOI:10.1016/j.ypmed.2023.107813
摘要

Since the 20th century, the world has undergone climate change, population growth and population aging, which may result in alterations in the epidemiology of non-optimal temperature-associated strokes. We employed multiple methodologies and data from the global burden of disease 2019 to unveil the long-term curvilinear trends in strokes attributed to non-optimal temperature and the impact of aging and population growth on its changing epidemiology. From 1990 to 2019, the age-standardized DALYs rate (ASDR) of strokes attributable to low temperature had been decreasing, but from 2016, the continued downward trend in ASDR disappeared and began to remain stable. On the contrary, the ASDR of strokes attributable to high temperature continued to increase. The high socio-demographic index (SDI) region experienced the fastest decreased trend. The disease burden of stroke attributable to low temperature is increased by aging in 178 countries (87.25%), compared with 130 (63.73%) for high temperature. After excluding aging and population growth, the DALY rate for strokes attributed to high temperature was increasing in 87 countries and territories (42.64%). The disease burden of strokes attributed to low temperature is far greater than that of high temperature in absolute figures. However, globally, there is a significant trend toward an increase in strokes attributed to high temperature. Social development has largely offset the burden of strokes attributed to low temperature, but most regions of the world are equally affected by strokes attributed to high temperature. Simultaneously, in the framework of climate change, aging is also largely hindering stroke prevention efforts.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
2秒前
传奇3应助快乐的凡霜采纳,获得10
2秒前
爱吃麻辣烫应助光亮友安采纳,获得10
3秒前
3秒前
5秒前
6秒前
momo完成签到,获得积分20
7秒前
似水流年完成签到,获得积分10
7秒前
7秒前
8秒前
8秒前
你不刷牙发布了新的文献求助10
8秒前
momo发布了新的文献求助10
9秒前
康康发布了新的文献求助10
11秒前
12秒前
长发飘飘完成签到 ,获得积分10
12秒前
谨慎忆安发布了新的文献求助10
12秒前
水牛应助Nuyoah采纳,获得10
13秒前
13秒前
缚大哥发布了新的文献求助10
14秒前
子车茗应助111版采纳,获得10
15秒前
16秒前
春和景明完成签到,获得积分10
16秒前
17秒前
17秒前
17秒前
18秒前
长发飘飘关注了科研通微信公众号
18秒前
18秒前
19秒前
大模型应助科研通管家采纳,获得10
19秒前
小蘑菇应助科研通管家采纳,获得10
19秒前
华仔应助科研通管家采纳,获得10
19秒前
JamesPei应助科研通管家采纳,获得10
19秒前
科研通AI2S应助科研通管家采纳,获得10
19秒前
思源应助科研通管家采纳,获得10
19秒前
酷波er应助科研通管家采纳,获得10
19秒前
小李熊猫应助科研通管家采纳,获得10
19秒前
19秒前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
юрские динозавры восточного забайкалья 800
Diagnostic immunohistochemistry : theranostic and genomic applications 6th Edition 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi 400
Classics in Total Synthesis IV 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3149519
求助须知:如何正确求助?哪些是违规求助? 2800571
关于积分的说明 7840676
捐赠科研通 2458112
什么是DOI,文献DOI怎么找? 1308279
科研通“疑难数据库(出版商)”最低求助积分说明 628471
版权声明 601706