RETRACTION: Association between air pollutants, sources, and components of PM2.5 and pediatric outpatient visits for respiratory diseases in Shanghai, China (Retraction of Vol 126, Pg 476, 2019)

被引:5
作者
Wang, Duo [1 ]
Dong, Chunyang [1 ]
Xu, Huihui [1 ,3 ]
Xu, Dong [2 ]
Cheng, Yu [2 ]
Shi, Yewen [1 ]
Han, Fengchan [1 ]
Chen, Feier [1 ]
Qian, Hailei [1 ]
Ren, Yangyang [1 ]
Sui, Shaofeng [1 ]
Zhang, Jianghua [1 ,3 ]
机构
[1] Shanghai Municipal Ctr Dis Control & Prevent, Dept Environm Hlth, Shanghai 200336, Peoples R China
[2] Shanghai Xuhui Dist Ctr Dis Control & Prevent, Dept Environm & Occupat Hyg, Shanghai 200237, Peoples R China
[3] Shanghai Municipal Ctr Dis Control & Prevent, Environm Hlth Dept, Shanghai 233006, Peoples R China
基金
芬兰科学院;
关键词
Air pollution; Particulate matter; Pediatric outpatient visits; Respiratory diseases; Chemical components; Source apportionment; FINE PARTICULATE MATTER; SHORT-TERM ASSOCIATIONS; CHEMICAL-CONSTITUENTS; SOURCE APPORTIONMENT; HOSPITAL ADMISSIONS; REGIONAL TRANSPORT; OXIDATIVE STRESS; DAILY MORTALITY; POLLUTION; EXPOSURE;
D O I
10.1016/j.atmosenv.2023.119978
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Although exposure to ambient air pollution has been associated with outpatient visits for respiratory diseases, there have been few recent studies investigating the effect of the chemical components of ambient particulate matter with an aerodynamic diameter of <2.5 mu m (PM2.5) on pediatric outpatient visits for respiratory diseases. In addition, there remains scarce evidence regarding PM2.5 components and sources that are most relevant to pediatric outpatient visits for respiratory diseases. This study aimed to determine the association between four ambient pollutants (SO2, NO2, PM10, and PM2.5), sources and chemical components of PM2.5, and pediatric outpatient visits for respiratory diseases.Methods: This time-series study was conducted between January 1, 2018 and December 31, 2019 in Shanghai, China. A positive matrix factorization model was used to determine the source apportionment of PM2.5, and a generalized additive model was employed to evaluate the effect of air pollutants and the components and sources of PM2.5 on pediatric outpatient visits for respiratory diseases. In addition, a two-pollutant model was used to investigate the potential confounding effects of the copollutants.Results: The study revealed that a 10 mu g/m(3) increase in SO2, NO2, PM10, and PM2.5 concentrations corresponded to increases of 3.4% (95% CI: 2.3%-4.6%), 1.9% (95% CI: 1.7%-2.2%), 0.5% (95% CI: 0.4%-0.7%), and 0.5% (95% CI: 0.4%-0.7%), respectively, in pediatric outpatient visits for respiratory diseases on the day with the most significant lag effect. Notably, Ni exposure more strongly correlated with increased pediatric outpatient visits for respiratory diseases, with the percent of increase by 10 ng/m(3) ranging from 7.6% to 16.5%. Moreover, among the PM2.5 sources researched in this study, oil and coal combustion were the most important for increasing pediatric outpatient visits for respiratory diseases.Conclusion: This study demonstrates that ambient pollutants and the chemical components and sources of PM2.5 were significantly associated with an elevated risk of pediatric outpatient visits for respiratory diseases and provides insights into the differential health risks of PM2.5 components.
引用
收藏
页数:8
相关论文
共 53 条
[41]   Fine particulate air pollution and hospital visits for asthma in Beijing, China [J].
Tian, Yaohua ;
Xiang, Xiao ;
Juan, Juan ;
Sun, Kexin ;
Song, Jing ;
Cao, Yaying ;
Hu, Yonghua .
ENVIRONMENTAL POLLUTION, 2017, 230 :227-233
[42]   Role of air pollutants mediated oxidative stress in respiratory diseases [J].
Traina, Giovanni ;
Bolzacchini, Ezio ;
Bonini, Maira ;
Contini, Daniele ;
Mantecca, Paride ;
Caimmi, Silvia Maria Elena ;
Licari, Amelia .
PEDIATRIC ALLERGY AND IMMUNOLOGY, 2022, 33 :38-40
[43]   Source apportionment of particulate matter in Europe: A review of methods and results [J].
Viana, M. ;
Kuhlbusch, T. A. J. ;
Querol, X. ;
Alastuey, A. ;
Harrison, R. M. ;
Hopke, P. K. ;
Winiwarter, W. ;
Vallius, A. ;
Szidat, S. ;
Prevot, A. S. H. ;
Hueglin, C. ;
Bloemen, H. ;
Wahlin, P. ;
Vecchi, R. ;
Miranda, A. I. ;
Kasper-Giebl, A. ;
Maenhaut, W. ;
Hitzenberger, R. .
JOURNAL OF AEROSOL SCIENCE, 2008, 39 (10) :827-849
[44]   Size characteristics and health risks of inorganic species in PM1.1 and PM2.0 of Shanghai, China, in spring, 2017 [J].
Wang, Qingyue ;
Wang, Weiqian .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (13) :14690-14701
[45]   The impact of outdoor air pollutants on outpatient visits for respiratory diseases during 2012-2016 in Jinan, China [J].
Wang, Shanshan ;
Li, Yifan ;
Niu, Aimin ;
Liu, Yao ;
Su, Lili ;
Song, Wanmei ;
Liu, Jinyue ;
Liu, Yunxia ;
Li, Huaichen .
RESPIRATORY RESEARCH, 2018, 19
[46]   Associations between daily outpatient visits for respiratory diseases and ambient fine particulate matter and ozone levels in Shanghai, China [J].
Wang, Yiyi ;
Zu, Yaqun ;
Huang, Lin ;
Zhang, Hongliang ;
Wang, Changhui ;
Hu, Jianlin .
ENVIRONMENTAL POLLUTION, 2018, 240 :754-763
[47]   Association of chemical constituents and pollution sources of ambient fine particulate air pollution and biomarkers of oxidative stress associated with atherosclerosis: A panel study among young adults in Beijing, China [J].
Wu, Shaowei ;
Yang, Di ;
Wei, Hongying ;
Wang, Bin ;
Huang, Jing ;
Li, Hongyu ;
Shima, Masayuki ;
Deng, Furong ;
Guo, Xinbiao .
CHEMOSPHERE, 2015, 135 :347-353
[48]   AIR-POLLUTION AND UNSCHEDULED HOSPITAL OUTPATIENT AND EMERGENCY ROOM VISITS [J].
XU, XP ;
LI, BL ;
HUANG, HY .
ENVIRONMENTAL HEALTH PERSPECTIVES, 1995, 103 (03) :286-289
[49]   Ground-level ozone in four Chinese cities: precursors, regional transport and heterogeneous processes [J].
Xue, L. K. ;
Wang, T. ;
Gao, J. ;
Ding, A. J. ;
Zhou, X. H. ;
Blake, D. R. ;
Wang, X. F. ;
Saunders, S. M. ;
Fan, S. J. ;
Zuo, H. C. ;
Zhang, Q. Z. ;
Wang, W. X. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2014, 14 (23) :13175-13188
[50]   Ambient air pollution and gestational diabetes mellitus: A review of evidence from biological mechanisms to population epidemiology [J].
Zhang, Huanhuan ;
Wang, Qiong ;
He, Simin ;
Wu, Kaipu ;
Ren, Meng ;
Dong, Haotian ;
Di, Jiangli ;
Yu, Zengli ;
Huang, Cunrui .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 719