EconPapers    
Economics at your fingertips  
 

Ambient Air Pollution and Risk of Admission Due to Asthma in the Three Largest Urban Agglomerations in Poland: A Time-Stratified, Case-Crossover Study

Piotr Dąbrowiecki, Andrzej Chciałowski, Agata Dąbrowiecka and Artur Badyda
Additional contact information
Piotr Dąbrowiecki: Department of Allergology and Infectious Diseases, Military Institute of Medicine, 04-141 Warsaw, Poland
Andrzej Chciałowski: Department of Allergology and Infectious Diseases, Military Institute of Medicine, 04-141 Warsaw, Poland
Agata Dąbrowiecka: Maria Skłodowska-Curie Medical School, 00-136 Warsaw, Poland
Artur Badyda: Polish Federation of Asthma Allergy and COPD Patients Associations, 01-604 Warsaw, Poland

IJERPH, 2022, vol. 19, issue 10, 1-10

Abstract: Ambient air pollution in urban areas may trigger asthma exacerbations. We carried out a time-series analysis of the association between the concentrations of various air pollutants and the risk of hospital admission due to asthma over 7 days from exposure. We used distributed lag nonlinear models to analyze data gathered between 2010 and 2018 in the three largest urban agglomerations in Poland. Overall, there were 31,919 asthma hospitalizations. Over 7 days since exposure, the rate ratio (95%CI) for admission per 10 µg/m 3 was 1.013 (1.002–1.024) for PM 10 ; 1.014 (1.000–1.028) for PM 2.5 ; 1.054 (1.031–1.078) for NO 2 ; and 1.044 for SO 2 (95%CI: 0.986–1.104). For all pollutants, the risk of admission was the greatest on the day of exposure (day 0), decreased below baseline on days 1 and 2, and then increased gradually up to day 6. The proportions (95%CI) of hospitalizations attributable to air pollution were 4.52% (0.80%–8.14%) for PM 10 ; 3.74% (0.29%–7.11%) for PM 2.5 ; 16.4% (10.0%–21.8%) for NO 2 ; and 2.50% (−0.75%–5.36%) for SO 2 . In conclusion, PM 2.5 , PM 10 , NO 2 , and SO 2 pollution was associated with an increased risk of hospital admission due to asthma in the three largest urban agglomerations in Poland over nine years.

Keywords: asthma; air pollution; PM 10; PM 2.5; nitrogen dioxide; sulfur dioxide; distributed lag nonlinear models (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/10/5988/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/10/5988/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:10:p:5988-:d:815861

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:5988-:d:815861