气候变化领域集成服务门户(CCPortal): Constructing an Air Quality Health Index for children: A case study in Shanghai, China

CCPortal

DOI	10.1016/j.atmosenv.2021.118765
	Constructing an Air Quality Health Index for children: A case study in Shanghai, China
	Zhang L.; Xu H.; Guo C.; Chen J.; Dong C.; Zhang J.; Shi Y.; Xu D.; Ling L.; Zhang B.; Su J.; Fu C.
发表日期	2021
ISSN	1352-2310
卷号	267
英文摘要	Background: The Air Quality Health Index (AQHI) based on the association between excess mortality risk and air pollutants was established by Canadian scientists in 2008 and it has been widely used for predicting multiple air pollutants related health risks. However, it remains unclear whether AQHI is a better indicator in predicting other health risks like respiratory diseases for vulnerable populations. Objective: This study aimed to propose a case on constructing an AQHI based on the association between air pollution and hospital outpatient visits for respiratory diseases among children and to determine whether the index adequately predicts early risk of respiratory diseases in children. Method: Data of air pollutants, including particulate matter of less than 2.5 μm in aerodynamic diameter (PM2.5), sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3) were collected from Shanghai Environmental Monitoring Center from January 1, 2015 to December 31, 2019. Daily number of hospital outpatient visits for pediatric (0–12 years old) respiratory diseases were also obtained. Time-series analysis with a generalized additive model (GAM) during warm (Apr. to Sep.) and cool periods (Oct. to Mar.) was conducted to estimate the associations between respiratory-related hospital outpatient visits in children and the concentrations of air pollutants including PM2.5, SO2, NO2, and O3 in Shanghai from 2015 to 2018. The sum of excess risk (ER) of hospital outpatient visits in warm and cool periods was used to construct the AQHI for children (AQHIc). As AQHIc was established using the data from 2015 to 2018, we examined the validity of the index with data from 2017 to 2019. We also compared the predictive power of AQHIc and the currently used Air Quality Index (AQI) with the data of daily hospital outpatient visits from 2017 to 2019. Result: According to one- and two-pollutant models of GAM, the concentration-response coefficients of PM2.5, SO2, NO2, and O3 were selected to construct the AQHIc in the warm period, while only SO2, NO2, and PM2.5 were included for the construction of AQHIc in the cool period as O3 was negatively correlated with the hospital outpatient visits. There were almost linear exposure-response correlations between AQHIc and daily hospital outpatient visits. AQHIc and AQI showed similar results with the annual data in terms of model fit statistics. When the data was divided into warm and cool periods, the power of AQHIc was slightly stronger than that of AQI in predicting the air pollution-related health risks. Conclusion: AQHIc we developed might comprehensively reflect the combined effects of air pollution in Shanghai and it could be a more valid prediction index for evaluating air pollution-related health risks in children. © 2021
关键词	Air quality health index Children Hospital outpatient visits Respiratory diseases
语种	英语
scopus关键词	Air quality; Forecasting; Health risks; Nitrogen oxides; Pulmonary diseases; Sulfur dioxide; Time series analysis; Air pollutants; Air quality health index; Air quality indices; Case-studies; Child; Generalized additive model; Health indices; Hospital outpatient visit; Mortality risk; PM 2.5; Hospitals; nitrogen dioxide; ozone; sulfur dioxide; air quality; atmospheric pollution; child health; health impact; mortality risk; particulate matter; pollution effect; air pollutant; air pollution; air quality; air quality health index; Article; atmospheric pressure; child; China; controlled study; environmental temperature; health hazard; human; major clinical study; meteorological phenomena; meteorology; outpatient care; particulate matter; particulate matter 10; particulate matter 2.5; pediatric patient; relative humidity; respiratory tract disease; time series analysis; urban area; vulnerable population; wind speed; China; Shanghai; Indicator indicator
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248179
作者单位	Division of Public Health Service and Safety Assessment, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 200336, China; Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 200336, China; Shanghai Institute for Prevention Medicine, Shanghai, 200336, China; Environmental Health Department, Shanghai Xuhui Center for Disease Control and Prevention, Shanghai, 200237, China; Environmental Health Department, Shanghai Hongkou Center for Disease Control and Prevention, Shanghai, 200082, China; Environmental Health Department, Shanghai Chongming Center for Disease Control and Prevention, Shanghai, 202150, China
推荐引用方式 GB/T 7714	Zhang L.,Xu H.,Guo C.,et al. Constructing an Air Quality Health Index for children: A case study in Shanghai, China[J],2021,267.
APA	Zhang L..,Xu H..,Guo C..,Chen J..,Dong C..,...&Fu C..(2021).Constructing an Air Quality Health Index for children: A case study in Shanghai, China.ATMOSPHERIC ENVIRONMENT,267.
MLA	Zhang L.,et al."Constructing an Air Quality Health Index for children: A case study in Shanghai, China".ATMOSPHERIC ENVIRONMENT 267(2021).