Heatwave and mortality in 31 major Chinese cities: Definition, vulnerability and implications

百分位 泊松回归 分布滞后 人口学 随机效应模型 效果修正 滞后 医学 置信区间 荟萃分析 地理 统计 环境卫生 数学 人口 社会学 内科学 计算机网络 计算机科学
作者
Jun Yang,Peng Yin,Jimin Sun,Boguang Wang,Maigeng Zhou,Mengmeng Li,Shilu Tong,Bohan Meng,Yuming Guo,Qiyong Liu
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:649: 695-702 被引量:311
标识
DOI:10.1016/j.scitotenv.2018.08.332
摘要

Few data are available on the health impacts of heatwaves in China, and in particular, the heatwave definition and vulnerable populations remain to be identified. We collected data on daily maximum temperature and mortality from 31 Chinese capital cities during 2007-2013. A Poisson regression model allowing for over-dispersion was applied to estimate the short-term effects of heatwaves on mortality in hot season (May-September). 15 heatwave definitions combining five heat thresholds (90.0th, 92.5th, 95th, 97.5th and 99th percentiles of daily maximum temperature) and three durations (≥2, ≥3 and ≥4 days) were compared. The pooled effects were then computed using random effect meta-analysis based on the residual maximum likelihood estimation. Effect modification of heatwave-mortality association by individual-level characteristics was tested using a stratified analysis. Potential effect modification by city-level characteristics was examined by meta-regression analysis. Totally, 259 million permanent residents were covered and 4,481,090 non-accidental deaths occurred during the study period. Generally, the magnitude of heatwave impacts increased by intensities and durations of the heatwaves. Heatwave definition using daily maximum temperature ≥ 92.5th percentile with duration ≥3 days produced the best model fit. The pooled relative risks of heatwaves on non-accidental mortality at lag 0, lag 0-2 and lag 0-10 days were 1.06 (95%CI: 1.03-1.09), 1.09 (1.05-1.13) and 1.10 (1.05-1.15), respectively. Compared with non-accidental mortality, higher effect estimates of heatwaves were observed among deaths from ischemic heart diseases, stroke and respiratory diseases, although the differences were not statistically significant. Females, those ≥75 years old and the illiterates were more vulnerable to heatwaves. Cities with higher concentrations of PM2.5, higher latitudes, and lower numbers of hospital beds per 10,000 populations had higher mortality risks during heatwaves. These findings may have important implications for developing heat alert systems and early response actions on protecting the vulnerable populations from adverse health effects of heatwave in China.
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
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
刘旭晴发布了新的文献求助10
2秒前
3秒前
3秒前
4秒前
4秒前
5秒前
情怀应助自信似狮采纳,获得30
6秒前
刘梦瑶完成签到,获得积分10
6秒前
虾米完成签到 ,获得积分10
6秒前
玮哥不是伟哥完成签到,获得积分10
7秒前
潇洒的血茗完成签到,获得积分10
7秒前
123晨+发布了新的文献求助10
7秒前
7秒前
上官若男应助刘旭晴采纳,获得10
8秒前
哈喽发布了新的文献求助10
8秒前
LN发布了新的文献求助10
9秒前
我是老大应助amy采纳,获得10
9秒前
9秒前
李健应助科研通管家采纳,获得10
9秒前
高高曼安发布了新的文献求助10
9秒前
Maestro_S应助科研通管家采纳,获得10
9秒前
完美世界应助科研通管家采纳,获得10
9秒前
orixero应助科研通管家采纳,获得10
9秒前
打打应助科研通管家采纳,获得10
10秒前
Owen应助科研通管家采纳,获得10
10秒前
Maestro_S应助科研通管家采纳,获得10
10秒前
10秒前
情怀应助科研通管家采纳,获得10
10秒前
Maestro_S应助科研通管家采纳,获得10
10秒前
科研通AI6应助科研通管家采纳,获得10
10秒前
Maestro_S应助科研通管家采纳,获得10
10秒前
丘比特应助科研通管家采纳,获得10
10秒前
Luna_aaa应助科研通管家采纳,获得10
10秒前
Maestro_S应助科研通管家采纳,获得10
10秒前
汉堡包应助科研通管家采纳,获得10
10秒前
10秒前
慕青应助科研通管家采纳,获得10
10秒前
10秒前
浮游应助科研通管家采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5662698
求助须知:如何正确求助?哪些是违规求助? 4844399
关于积分的说明 15100814
捐赠科研通 4821107
什么是DOI,文献DOI怎么找? 2580543
邀请新用户注册赠送积分活动 1534630
关于科研通互助平台的介绍 1493102