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- A case-crossover study between air pollution and hospital emergency room visits by asthma attack
- Hyoung June Im, Sang Yun Lee, Ki Jung Yun, Young Su Ju, Dae Hee Kang, Soo Hon Cho
- Korean Journal of Occupational and Environmental Medicine 2000;12(2):249-257. Published online June 30, 2000
- DOI: https://doi.org/10.35371/kjoem.2000.12.2.249
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Abstract
PDF - OBJECTIVES
This study, using case-crossover design, search a relationship between changing levels of air pollutants and asthma attack in asthma patients.
METHODS
We searched the daily total number of asthmatic patients at hospital' s emergency room in Seoul, Korea by investigating total 49 general hospitals emergency room records. Otherwise, We investigated medical records of asthmatic patients at one of the 49 hospitals we have searched. We investigated addresses that they are living, diagnosis, smoking history, whether respiratory infection or not, medications. We analyzed the data by 1:m conditional logistic regression used when matched case-control study is analyzed. Control periods were chosen by bidirectional paired matching technique 7, 14 days before and after case periods.
RESULTS
the relative risk of asthmatic attack by 100 ppm ozone increase between June and September were 1.348(95 % CI = 1.010~1.619). Between November and February, the relative risk by 100 /m TSP increase, 100ppb sulfur dioxide and nitrogen dioxide were respectively 1.278(1.010~1.619), 1.237(1.019~1.502), 1.285(1.006~1.640). In stratified analysis, the relative risk were significant when the asthmatic patients were children aged 15 years or below, when there were respiratory infection, and when the patients took medications irregularly CONCLUSIONS: There was statistically significant association between ambient levels of air pollutants and asthmatic attack. So, we have to exert our efforts to minimize the air pollution effectively, to protect public health from air pollution. -
Citations
Citations to this article as recorded by
- Review of Epidemiological Research and Perspectives for Future Environmental Health Progress in Korea
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Journal of Environmental Health Sciences.2022; 48(3): 138. CrossRef - Hybrid Deep Learning Algorithm with Open Innovation Perspective: A Prediction Model of Asthmatic Occurrence
Min-Seung Kim, Jeong-Hee Lee, Yong-Ju Jang, Chan-Ho Lee, Ji-Hye Choi, Tae-Eung Sung
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PLOS ONE.2017; 12(3): e0174050. CrossRef
- Review of Epidemiological Research and Perspectives for Future Environmental Health Progress in Korea
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