标题：
Association between Ambient Air Pollutants and Pneumonia in Wuhan, China
点击次数：
影响因子：
2.9
DOI码：
10.3390/atmos13040578
教研室：
School of Public Health, Wuhan University;
发表刊物：
atmosphere
刊物所在地：
Switzerland
关键字：
air pollutants; pneumonia; outpatient visits; distributed lag nonlinear model; time series research
摘要：
Objectives: To assess associations between short-time air pollution exposure and outpatient visits for pneumonia by the distributed lag nonlinear model (DLNM).
Methods: Daily outpatient visits for pneumonia and air pollutant data were collected from Wuhan Basic Medical Insurance Database in China and 10 national air quality monitoring stations in Wuhan from 2014 to 2017, respectively. Taking the first percentile of the concentration as the reference, DLNM was used to estimate the impact of moderate (50th) and high levels (99th) of pollutants on pneumonia.
Results: A total of 133,882 outpatient visits were identified during the period of the study. Moderate-level (P50) fine particulate matter (PM2.5) or sulfur dioxide (SO2) and high-level nitrogen dioxide (NO2) (P99) can increase the risk of pneumonia. The maximum RR was 1.198 (95% CI: 1.094–1.311) at lag0-11, 1.304(95% CI: 1.166–1.458) at lag0-13, and 1.286 (95% CI: 1.060–1.561) at lag0-14, respectively. Females and children had greater risks.
Conclusions: Short-time PM2.5, SO2, and NO2 exposure were associated with outpatient visits for pneumonia in Wuhan, China.
合写作者：
Yuehua Liu,Fengxi Tao,Jingjing Liao,Chengcheng Lv,Zenghui Huang
论文类型：
期刊论文
通讯作者：
Lu Ma
学科门类：
医学
文献类型：
J
卷号：
13
期号：
4
页面范围：
578-588
ISSN号：
2073-4433
是否译文：
否
发表时间：
2022-04-23
收录刊物：
SCI、EI
发表时间：
2022-04-23
学科：
流行病与卫生统计学
所在单位：公共卫生学院