Author
Listed:
- Ji Zhou
(Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai 200437, China
Shanghai Typhoon Institute, China Meteorological Administration (CMA), Shanghai 200030, China
Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai 200030, China
These authors contributed equally to this work.)
- Ruoyi Lei
(Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou 730000, China
These authors contributed equally to this work.)
- Jianming Xu
(Shanghai Typhoon Institute, China Meteorological Administration (CMA), Shanghai 200030, China
Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai 200030, China)
- Li Peng
(Shanghai Typhoon Institute, China Meteorological Administration (CMA), Shanghai 200030, China
Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai 200030, China)
- Xiaofang Ye
(Shanghai Typhoon Institute, China Meteorological Administration (CMA), Shanghai 200030, China
Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai 200030, China)
- Dandan Yang
(Shanghai Typhoon Institute, China Meteorological Administration (CMA), Shanghai 200030, China
Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai 200030, China)
- Sixu Yang
(Shanghai Typhoon Institute, China Meteorological Administration (CMA), Shanghai 200030, China
Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai 200030, China)
- Yong Yin
(Department of Respiratory, School of Medicine, Shanghai Children’s Medical Center, Shanghai Jiao Tong University, Shanghai 200240, China)
- Renhe Zhang
(Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai 200437, China)
Abstract
Fine particulate matter (PM 2.5 ) has been reported to be an important risk factor for asthma. This study was designed to evaluate the relationship between PM 2.5 and lung function among children with asthma in Shanghai, China. From 2016 to 2019, a total of 70 Chinese children aged 4 to 14 in Shanghai were recruited for this panel study. The questionnaire was used to collect baseline information, and the lung function covering forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1) and peak expiratory flow (PEF) were carried out for each child more than twice during follow-up. Meanwhile, the simultaneous daily air atmospheric pollutants and meteorological data were collected. The linear mixed effect (LME) model was used to assess the relationship between air pollutants and lung function. A significantly negative association was found between PM 2.5 and lung function in children with asthma. In the single-pollutant model, the largest effects of PM 2.5 on lung function were found for lag 0–2, with FVC and FEV1 decreasing by 0.91% [95% confidence interval (CI): −1.75, −0.07] and 1.05% (95% CI: −2.09, 0.00), respectively, for each 10 μg/m 3 increase in PM 2.5 . In the multi-pollution model (adjusted PM 2.5 + SO 2 + O 3 ), the maximum effects of PM 2.5 on FVC and FEV1 also appeared for lag 0–2, with FVC and FEV1 decreasing by 1.57% (95% CI: −2.69, −0.44) and 1.67% (95% CI: −3.05, −0.26), respectively, for each 10 μg/m 3 increase in PM 2.5 . In the subgroup analysis, boys, preschoolers (<6 years old) and hot seasons (May to September) were more sensitive to changes. Our findings may contribute to a better understanding of the short-term exposure effects of PM 2.5 on lung function in children with asthma.
Suggested Citation
Ji Zhou & Ruoyi Lei & Jianming Xu & Li Peng & Xiaofang Ye & Dandan Yang & Sixu Yang & Yong Yin & Renhe Zhang, 2022.
"The Effects of Short-Term PM 2.5 Exposure on Pulmonary Function among Children with Asthma—A Panel Study in Shanghai, China,"
IJERPH, MDPI, vol. 19(18), pages 1-14, September.
Handle:
RePEc:gam:jijerp:v:19:y:2022:i:18:p:11385-:d:911480
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11385-:d:911480. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.