Susceptibility to Mortality in Weather Extremes

置信区间 医学 人口学 住所 人口 心房颤动 逻辑回归 痴呆 老年学 疾病 内科学 环境卫生 社会学
作者
Antonella Zanobetti,Marie S. O’Neill,Carina J. Gronlund,Joel Schwartz
出处
期刊:Epidemiology [Ovid Technologies (Wolters Kluwer)]
卷期号:24 (6): 809-819 被引量:167
标识
DOI:10.1097/01.ede.0000434432.06765.91
摘要

Background: Extremes of temperature have been associated with short-term increases in daily mortality. We identified subpopulations with increased susceptibility to dying during temperature extremes, based on personal demographics, small-area characteristics, and preexisting medical conditions. Methods: We examined Medicare participants in 135 US cities and identified preexisting conditions based on hospitalization records before their deaths, from 1985 to 2006. Personal characteristics were obtained from the Medicare records, and area characteristics were assigned based on zip code of residence. We conducted a case-only analysis of over 11 million deaths and evaluated modification of the risk of dying associated with extremely hot days and extremely cold days, continuous temperatures, and water vapor pressure. Modifiers included preexisting conditions, personal characteristics, zip code–level population characteristics, and land cover characteristics. For each effect modifier, a city-specific logistic regression model was fitted and then an overall national estimate was calculated using meta-analysis. Results: People with certain preexisting conditions were more susceptible to extreme heat, with an additional 6% (95% confidence interval = 4%–8%) increase in the risk of dying on an extremely hot day in subjects with previous admission for atrial fibrillation, an additional 8% (4%–12%) in subjects with Alzheimer disease, and an additional 6% (3%–9%) in subjects with dementia. Zip code level and personal characteristics were also associated with increased susceptibility to temperature. Conclusions: We identified several subgroups of the population who are particularly susceptible to temperature extremes, including persons with atrial fibrillation.
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
刚刚
刚刚
1秒前
LHL发布了新的文献求助10
1秒前
完美世界应助alex采纳,获得10
1秒前
JoaquinH发布了新的文献求助10
1秒前
4秒前
dante发布了新的文献求助10
6秒前
Mumu发布了新的文献求助30
6秒前
三口发布了新的文献求助10
8秒前
9秒前
科研通AI2S应助北河三采纳,获得10
10秒前
Felicity完成签到 ,获得积分10
11秒前
12秒前
wangbq发布了新的文献求助10
12秒前
12秒前
圈圈发布了新的文献求助10
13秒前
严小赖发布了新的文献求助10
14秒前
15秒前
等待蚂蚁完成签到,获得积分10
15秒前
Soda发布了新的文献求助20
15秒前
淡淡的若冰应助大白采纳,获得10
16秒前
木子发布了新的文献求助10
17秒前
18秒前
田様应助吃饱了继续吃采纳,获得10
19秒前
调研昵称发布了新的文献求助10
19秒前
杨娟娟发布了新的文献求助10
20秒前
香蕉觅云应助Jindyla采纳,获得10
20秒前
dante完成签到,获得积分10
21秒前
yu完成签到 ,获得积分10
22秒前
所所应助稳重向南采纳,获得10
23秒前
传奇3应助三口采纳,获得10
25秒前
雨蒙蒙完成签到,获得积分10
25秒前
Shelley发布了新的文献求助20
26秒前
vivia完成签到 ,获得积分10
26秒前
27秒前
糯米小圆子完成签到,获得积分10
28秒前
28秒前
ZZZ完成签到,获得积分10
31秒前
32秒前
高分求助中
Evolution 10000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 600
Distribution Dependent Stochastic Differential Equations 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
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 3157519
求助须知:如何正确求助?哪些是违规求助? 2808900
关于积分的说明 7879102
捐赠科研通 2467351
什么是DOI,文献DOI怎么找? 1313394
科研通“疑难数据库(出版商)”最低求助积分说明 630395
版权声明 601919