Associations between air pollutant and pneumonia and asthma requiring hospitalization among children aged under 5 years in Ningbo, 2015–2017

作者
Xingyuan Zhou,Min Guo,Zhifei Li,Xiping Yu,Gang Huang,Zhen Li,Xiaohong Zhang,Liya Liu
出处
期刊:Frontiers in Public Health [Frontiers Media]
卷期号:10: 1017105-1017105 被引量:32
标识
DOI:10.3389/fpubh.2022.1017105
摘要

Introduction: Exposure to ambient air pollutants is associated with an increased incidence of respiratory diseases such as pneumonia and asthma, especially in younger children. We investigated the relationship between rates of hospitalization of children aged under 5 years for pneumonia and asthma and the concentration of air pollutants in Ningbo between January 1, 2015 and August 29, 2017. Methods: Data were obtained from the Ningbo Air Quality Data Real-time Publishing System and the big data platform of the Ningbo Health Information Center. A generalized additive model was established via logarithmic link function and utilized to evaluate the effect of pollutant concentration on lag dimension and perform sensitivity analysis. Results: A total of 10,301 cases of pneumonia and 115 cases of asthma were identified over the course of this study. Results revealed that PM2.5, PM10, SO2 and NO2 were significantly associated with hospitalization for pneumonia and asthma in children under 5 years of age. For every 10-unit increase in lag03 air pollutant concentration, hospitalization for pneumonia and asthma due to PM2.5, PM10, SO2 and NO2 increased by 2.22% (95%CI: 0.64%, 3.82%), 1.94% (95%CI: 0.85%, 3.04%), 11.21% (95%CI: 4.70%, 18.10%) and 5.42% (95%CI: 3.07%, 7.82%), respectively. Discussion: Adverse effects of air pollutants were found to be more severe in children aged 1 to 5 years and adverse effects due to PM2.5, PM10 and SO2 were found to be more severe in girls. Our findings underscore the need for implementation of effective public health measures to urgently improve air quality and reduce pediatric hospitalizations due to respiratory illness.

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
橙子发布了新的文献求助10
1秒前
1秒前
英俊的擎汉完成签到,获得积分20
2秒前
小蘑菇的应助被拔丝香芋采纳,获得10
3秒前
3秒前
大力迎丝完成签到,获得积分10
4秒前
4秒前
充电宝的应助被sylar采纳,获得10
4秒前
喵脆角发布了新的文献求助10
4秒前
6秒前
7秒前
wyx完成签到,获得积分20
7秒前
三分之二发布了新的文献求助10
7秒前
槑槑猪三发布了新的文献求助10
7秒前
8秒前
GooJohn发布了新的文献求助10
8秒前
lazyp发布了新的文献求助10
9秒前
橙子完成签到,获得积分10
11秒前
11秒前
13秒前
贾方硕完成签到,获得积分10
13秒前
13秒前
小帅完成签到,获得积分10
14秒前
爆米花的应助被缺口口采纳,获得10
14秒前
wmmmmm发布了新的文献求助10
14秒前
14秒前
Summer发布了新的文献求助200
15秒前
16秒前
香蕉觅云的应助被benson采纳,获得10
16秒前
17秒前
满意的短靴完成签到,获得积分10
17秒前
17秒前
18秒前
sylar发布了新的文献求助10
19秒前
20秒前
20秒前
初初初啊发布了新的文献求助10
21秒前
绵绵发布了新的文献求助10
22秒前
Criminology34的应助被康康采纳,获得10
22秒前
Coucou完成签到 ,获得积分10
23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
拉伸高分子熔体中缠结行为的模拟和小角中子散射研究 1080
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
Cellulose and Cellulose Derivatives: Synthesis, Modification and Applications 600
Entre Praga y Madrid : los contactos checoslovaco-españoles (1948-1977) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8146337
求助须知:如何正确求助?哪些是违规求助? 9544945
关于积分的说明 21666423
捐赠科研通 7732426
什么是DOI,文献DOI怎么找? 3423009
关于科研通互助平台的介绍 2548028
邀请新用户注册赠送积分活动 2465930