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Effect of Ambient Air Pollutants on the Medical Costs of Allergic Rhinitis in Seoul, Koreaopen access

Authors
Kim, Jin YoupPark, YujinKim, Su HwanKim, Seong PyoPark, Seok-WonYoon, Hyung-Jin
Issue Date
Aug-2023
Publisher
WILEY
Keywords
air pollutants; allergic rhinitis; health care costs; particulate matter
Citation
The Laryngoscope, v.133, no.8, pp 1828 - 1833
Pages
6
Indexed
SCIE
SCOPUS
Journal Title
The Laryngoscope
Volume
133
Number
8
Start Page
1828
End Page
1833
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/2112
DOI
10.1002/lary.30464
ISSN
0023-852X
1531-4995
Abstract
Background Ambient air pollutants are considered significant factors that influence allergic diseases. This study aimed to evaluate the effect of ambient air pollution on the medical costs of allergic rhinitis (AR) through a time-series analysis. Methods We used data from the Korean National Health Insurance Database from January 2016 to December 2019. The total cost for medical management and outpatient prescriptions for AR, estimated by the National Health Insurance Service for 25 districts, was summed as the total medical costs. The monthly concentrations of PM10, PM2.5, NO2, CO, O-3, and SO2 were calculated, and time-series analysis was performed to evaluate the effect of ambient air pollutants on the medical cost of AR using the seasonal autoregressive integrated moving average (SARIMA) model. Results Time-series analysis revealed that the concentrations of PM10, NO2, and CO were significantly associated with an increased medical cost of AR when adjusting for monthly differences and seasonality (p = 0.048, p = 0.001, and p = 0.001 respectively). The increase in medical costs of AR was 6.22% (95% confidence interval [CI]: 0.0%-12.37%), 11.27% (95% CI: 6.03%-16.50%), and 11.05% (95% CI: 7.09%-15.01%) per one standard deviation increase in PM1(0), NO2, and CO respectively. Conclusions The monthly concentrations of PM1(0), NO2, and CO were significantly associated with the increased medical costs of AR when adjusting for monthly differences and seasonality. This analysis provides a better understanding of the health and economic effects of ambient air pollutants on AR. Level of Evidence N/A Laryngoscope, 2022
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