The association between fine particulate air pollution and hospital emergency room visits for cardiovascular diseases in Beijing, China

医学 北京 气动直径 置信区间 优势比 环境卫生 空气污染 空气污染物 流行病学 二氧化氮 微粒 中国 内科学 气象学 物理 有机化学 化学 政治学 法学 生物 生态学
作者
Hyewon Lee,Yingli Jia,Xiaochuan Pan,Liqun Liu,Heinz‐Erich Wichmann
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:407 (17): 4826-4830 被引量:185
标识
DOI:10.1016/j.scitotenv.2009.05.022
摘要

Because epidemiological studies have yielded different results, the association between exposure to fine particulate matter less than 2.5 μm in aerodynamic diameter (PM2.5) and acute events of cardiovascular diseases (CVD) is unknown. Additionally, no research has been conducted to explore the association between PM2.5 and hospital emergency room (ER) visits of cardiovascular diseases in Beijing, China. To explore the association between PM2.5 and the hospital ER visits in Beijing, China for CVD {(International Classification of Diseases, 10th vision (ICD-10): I00~I99)}. We collected data for daily hospital ER visits for CVD from the Peking University Third Hospital, daily ambient PM2.5 data from a fixed monitor site at Peking University, and data on the daily level of gaseous air pollutants {sulfur dioxide (SO2) and nitrogen dioxide (NO2)} from the Beijing Municipal Environmental Monitoring Center between June 1, 2004 and December 31, 2006. A time-stratified case–crossover design was used to evaluate associations between CVD health outcomes and ambient air pollutants. 8377 hospital ER visits of CVD were collected in our study. After adjusting the temperature and the relative humidity, the associations for 10 μg/m3 increases in levels of PM2.5, SO2, or NO2 and hospital ER visits for cardiovascular diseases were statistically significant with odds ratios (ORs) of 1.005{95% confidence interval (CI): 1.001–1.009}, 1.014(95% CI: 1.004–1.024), and 1.016(95% CI: 1.003–1.029), respectively. These findings suggest that elevated levels of ambient air pollutants are associated with the increase in hospital ER visits for CVD in Beijing, 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
1秒前
坨坨西州发布了新的文献求助10
2秒前
彬彬发布了新的文献求助10
2秒前
大模型应助Abao采纳,获得10
2秒前
sfw驳回了苏照杭应助
3秒前
dingdong发布了新的文献求助10
3秒前
别拖延了要毕业啊完成签到,获得积分10
4秒前
4秒前
4秒前
Rrr发布了新的文献求助10
4秒前
dingdong发布了新的文献求助10
5秒前
5秒前
6秒前
6秒前
6秒前
7秒前
yuan发布了新的文献求助10
7秒前
8秒前
cc完成签到,获得积分10
8秒前
8秒前
8秒前
9秒前
9秒前
一一发布了新的文献求助10
9秒前
领导范儿应助Chridy采纳,获得10
9秒前
10秒前
凤凰山发布了新的文献求助10
10秒前
10秒前
孔雨珍发布了新的文献求助10
10秒前
淡定的思松应助通~采纳,获得10
11秒前
11秒前
明亮的八宝粥完成签到,获得积分10
11秒前
mayungui发布了新的文献求助10
11秒前
大型海狮完成签到,获得积分10
11秒前
搜集达人应助科研菜鸟采纳,获得10
12秒前
雨天有伞完成签到,获得积分10
12秒前
蕾子发布了新的文献求助10
12秒前
12秒前
zhui发布了新的文献求助10
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527849
求助须知:如何正确求助?哪些是违规求助? 3107938
关于积分的说明 9287239
捐赠科研通 2805706
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716893
科研通“疑难数据库(出版商)”最低求助积分说明 709794