TitleAssociations of ultrafine and fine particles with childhood emergency room visits for respiratory diseases in a megacity
AuthorsFang, Jiakun
Song, Xiaoming
Xu, Hongbing
Wu, Rongshan
Song, Jing
Xie, Yunfei
Xu, Xin
Zeng, Yueping
Wang, Tong
Zhu, Yutong
Yuan, Ningman
Jia, Jinzhu
Xu, Baoping
Huang, Wei
AffiliationPeking Univ, Sch Publ Hlth, Dept Occupat & Environm Hlth, Beijing, Peoples R China
Peking Univ, Inst Environm Med, Beijing, Peoples R China
Chinese Res Inst Environm Sci, State Environm Protect Key Lab Ecol Effect & Risk, State Key Lab Environm Criteria & Risk Assessmen, Beijing, Peoples R China
Capital Med Univ, Beijing Childrens Hosp, Beijing, Peoples R China
Peking Univ, Dept Epidemiol & Biostat, Sch Publ Hlth, Beijing, Peoples R China
Peking Univ, Key Lab Mol Cardiovasc Sci, Minist Educ, Beijing, Peoples R China
KeywordsMATTER AIR-POLLUTION
PARTICULATE MATTER
LUNG-FUNCTION
NUMBER CONCENTRATIONS
OXIDATIVE STRESS
CHILDREN
EXPOSURE
POLLUTANTS
MORTALITY
HOSPITALIZATIONS
Issue DateJul-2021
PublisherTHORAX
AbstractBackground Ambient fine particulate matter with aerodynamic diameter less than 2.5 mu m (PM2.5) has been associated with deteriorated respiratory health, but evidence on particles in smaller sizes and childhood respiratory health has been limited. Methods We collected time-series data on daily respiratory emergency room visits (ERVs) among children under 14 years old in Beijing, China, during 2015-2017. Concurrently, size-fractioned number concentrations of particles in size ranges of 5-560 nm (PNC5-560) and mass concentrations of PM2.5, black carbon (BC) and nitrogen dioxide (NO2) were measured from a fixed-location monitoring station in the urban area of Beijing. Confounder-adjusted Poisson regression models were used to estimate excessive risks (ERs) of particle size fractions on childhood respiratory ERVs, and positive matrix factorisation models were applied to apportion the sources of PNC5-560. Results Among the 136 925 cases of all-respiratory ERVs, increased risks were associated with IQR increases in PNC25-100 (ER=5.4%, 95% CI 2.4% to 8.6%), PNC100-560 (4.9%, 95% CI 2.5% to 7.3%) and PM2.5 (1.3%, 95% CI 0.1% to 2.5%) at current and 1 prior days (lag0-1). Major sources of PNC5-560 were identified, including nucleation (36.5%), gasoline vehicle emissions (27.9%), diesel vehicle emissions (18.9%) and secondary aerosols (10.6%). Emissions from gasoline and diesel vehicles were found of significant associations with all-respiratory ERVs, with increased ERs of 6.0% (95% CI 2.5% to 9.7%) and 4.4% (95% CI 1.7% to 7.1%) at lag0-1 days, respectively. Exposures to other traffic-related pollutants (BC and NO2) were also associated with increased respiratory ERVs. Conclusion Our findings suggest that exposures to higher levels of PNC5-560 from traffic emissions could be attributed to increased childhood respiratory morbidity, which supports traffic emission control priority in urban areas.
URIhttp://hdl.handle.net/20.500.11897/631550
ISSN0040-6376
DOI10.1136/thoraxjnl-2021-217017
IndexedSCI(E)
Appears in Collections:公共卫生学院
分子心血管学教育部重点实验室 

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