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GeoHealth - 2022 - Liu - Association Between Air Pollutants and Acute Exacerbation of Chronic Obstructive Pulmonary Disease.pdf 2,19MB
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1000 Titel
  • Association Between Air Pollutants and Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Time Stratified Case-Crossover Design With a Distributed Lag Nonlinear Model
1000 Autor/in
  1. Liu, Yanchen |
  2. Han, Xiaoli |
  3. Cui, Xudong |
  4. Zhao, Xiangkai |
  5. Zhao, Xin |
  6. Zheng, Hongmiao |
  7. Zhang, Benzhong |
  8. Ren, Xiaowei |
1000 Erscheinungsjahr 2022
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-01-24
1000 Erschienen in
1000 Quellenangabe
  • 6(2):e2021GH000529
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1029/2021GH000529 |
1000 Ergänzendes Material
  • https://agupubs.onlinelibrary.wiley.com/doi/suppl/10.1029/2021GH000529 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Acute exacerbation of chronic obstruction pulmonary disease (AECOPD) as a respiratory disease, is considered to be related to air pollution by more and more studies. However, the evidence on how air pollution affect the incidence of AECOPD and whether there are population differences is still insufficient. Therefore, we select PM10, PM2.5, SO2, NO2, CO, and O3 as representatives combined with daily AECOPD admission data from 1 January 2015 to 26 June 2016 in the rural areas of Qingyang, northwestern China to explore the associations of air pollution with AECOPD. Based on a time-stratified case-crossover design, we constructed a distributed lag nonlinear model to qualify the single and cumulative lagged effects of air pollution on AECOPD. Stratified related risks by sex and age were also reported. The cumulative exposure-response curves were approximately linear for PM2.5, “V”-shaped for PM10, “U”-shaped for NO2 and inverted-“V” for SO2, CO and O3. Exposure to high-PM2.5 (42 μg/m3), high-PM10 (91 μg/m3), high-SO2 (58 μg/m3), low-NO2 (12 μg/m3), and high-CO (1.55 mg/m3) increased the risk of AECOPD. Females aged 15–64 were more susceptible under extreme concentrations of PM2.5, SO2, CO, and low-PM10 than other subgroups. In addition, adults aged 15–64 were more sensitive to extreme concentrations of NO2 compared with the elderly ≥65 years old, while the latter were more sensitive to high-PM10. High-SO2, high-NO2, and extreme concentrations of PM2.5 had the greatest effects on the day of exposure, while low-SO2 and low-CO had lagged effects on AECOPD. Precautionary measures should be taken with a focus on vulnerable subgroups, to control hospitalization for AECOPD associated with air pollutants.
1000 Sacherschließung
lokal time‐stratified case‐crossover study
lokal distributed lag nonlinear model
lokal AECOPD
lokal air pollutants
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/TGl1LCBZYW5jaGVu|https://frl.publisso.de/adhoc/uri/SGFuLCBYaWFvbGk=|https://frl.publisso.de/adhoc/uri/Q3VpLCBYdWRvbmc=|https://frl.publisso.de/adhoc/uri/WmhhbywgWGlhbmdrYWk=|https://frl.publisso.de/adhoc/uri/WmhhbywgWGlu|https://frl.publisso.de/adhoc/uri/WmhlbmcsIEhvbmdtaWFv|https://frl.publisso.de/adhoc/uri/WmhhbmcsIEJlbnpob25n|https://orcid.org/0000-0002-8316-2755
1000 Label
1000 Förderer
  1. Natural Science Foundation of Gansu Province |
1000 Fördernummer
  1. 20JR10RA598
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Natural Science Foundation of Gansu Province |
    1000 Förderprogramm -
    1000 Fördernummer 20JR10RA598
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6438617.rdf
1000 Erstellt am 2022-12-01T13:06:51.315+0100
1000 Erstellt von 286
1000 beschreibt frl:6438617
1000 Bearbeitet von 286
1000 Zuletzt bearbeitet 2022-12-01T13:08:33.866+0100
1000 Objekt bearb. Thu Dec 01 13:08:07 CET 2022
1000 Vgl. frl:6438617
1000 Oai Id
  1. oai:frl.publisso.de:frl:6438617 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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