Effects of ambient air pollution on outpatient visits for psoriasis in Wuhan, China: a time-series analysis

银屑病 门诊就诊 混淆 医学 门诊部 泊松回归 置信区间 空气污染 空气污染物 环境卫生 内科学 皮肤病科 人口 医疗保健 经济 有机化学 化学 经济增长
作者
Jiajia Lan,Qiuyi Huang,Liu Yang,Yan Li,Jing Yang,Biling Jiang,Liang Zhao,Yuting Xia,Xinyu Yu,Juan Tao
出处
期刊:British Journal of Dermatology [Wiley]
卷期号:188 (4): 491-498 被引量:27
标识
DOI:10.1093/bjd/ljac124
摘要

Abstract Background Psoriasis can be provoked by both external and internal factors. The effects of environmental factors on psoriasis remain unclear. Objectives To investigate the effects of air pollution on outpatient visits for psoriasis. Methods A distributed lag nonlinear model following quasi-Poisson regression was used to evaluate the lag effects of air pollutants on psoriasis outpatient visits, adjusting for potential confounders. Stratified analyses were performed to identify potential effect modifications by sex, age and season. Results In total, 13 536 outpatient visits for psoriasis were recorded in Wuhan, China from 1 January 2015 to 31 December 2019. In the single-pollutant model, exposures to particulate matter (PM) smaller than 2.5 μm (PM2.5), PM smaller than 10 μm (PM10), NO2 and SO2 were found to be significantly associated with increased daily psoriasis outpatient visits. For the largest effects, a 10-μg m−3 increase in concentrations of PM2.5 (lag1), PM10 (lag1), NO2 (lag0) and SO2 (lag3) corresponded to 0.32% [95% confidence interval (CI) 0.01–0.63], 0.26% (95% CI 0.05–0.48), 0.98% (95% CI 0.01–1.96) and 2.73% (95% CI 1.01–4.47) increases in psoriasis outpatient visits, respectively. In the two-pollutant model, only NO2 showed significant and stable effects on the outpatient visits for psoriasis. Conclusions Ambient air pollution, especially NO2, appears to be significantly associated with an increased risk of outpatient visits for psoriasis in Wuhan, China. Air pollution control and exposure prevention could be effective measures to relieve the symptoms of psoriasis among these patients.
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
whitric发布了新的文献求助10
1秒前
科滴滴发布了新的文献求助10
2秒前
CJ发布了新的文献求助10
2秒前
2秒前
中恐完成签到,获得积分0
3秒前
Orange应助卡莉采纳,获得10
3秒前
1226完成签到,获得积分10
3秒前
栗子完成签到,获得积分10
3秒前
zhuhongxia完成签到,获得积分10
3秒前
4秒前
4秒前
夏日时雪完成签到,获得积分10
6秒前
科研通AI6.1应助小鹿采纳,获得10
6秒前
彭于晏应助锌小子采纳,获得10
7秒前
柚子发布了新的文献求助10
7秒前
7秒前
7秒前
友好初蝶关注了科研通微信公众号
8秒前
graffitti发布了新的文献求助10
8秒前
小马甲完成签到,获得积分10
8秒前
8秒前
脑洞疼应助CJ采纳,获得10
9秒前
9秒前
kiki发布了新的文献求助10
10秒前
科研通AI6.3应助王博士采纳,获得10
10秒前
思源应助王博士采纳,获得30
10秒前
顾矜应助王博士采纳,获得10
10秒前
烟花应助王博士采纳,获得10
10秒前
CodeCraft应助王博士采纳,获得10
10秒前
duan925完成签到,获得积分10
10秒前
11秒前
小龙发布了新的文献求助10
11秒前
11秒前
lion发布了新的文献求助10
12秒前
li发布了新的文献求助10
12秒前
12秒前
星辰大海应助song采纳,获得10
12秒前
小王发布了新的文献求助10
12秒前
li发布了新的文献求助10
13秒前
pearlwh1227完成签到,获得积分10
13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
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6048562
求助须知:如何正确求助?哪些是违规求助? 7832701
关于积分的说明 16259909
捐赠科研通 5193835
什么是DOI,文献DOI怎么找? 2779102
邀请新用户注册赠送积分活动 1762405
关于科研通互助平台的介绍 1644611