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주요 대도시 알레르기 질환 유병률 변화와 대기오염과의 관련성 - 지역 용도를 고려한 19세 이하 주민 대상
이지호(Jiho Lee),오인보(Inbo Oh),김민호(Min-ho Kim),방진희(Jin Hee Bang),박상진(Sang Jin Park),윤석현(Seok Hyeon Yun),김양호(Yangho Kim) 한국환경보건학회 2017 한국환경보건학회지 Vol.43 No.6
Objectives: The association of air pollution levels and land-use types with changes in the prevalence of allergic diseases (allergic conjunctivitis, allergic rhinitis, asthma, and atopic dermatitis) was investigated for seven metropolitan cities in Korea Methods: Data on daily hospital visits and admissions (of those under 19 years old) for 2003-2012 were obtained from the National Health Insurance Cooperation. Meteorological data on daily mean temperature, humidity, and air pressure were obtained from the Korea Meteorological Administration. Daily mean or maximum concentration data for five pollutants (PM 10 , O 3 , NO 2 , SO 2 , and CO) as measured at air quality monitoring sites operated by the Ministry of Environment were used. We estimated excess risk and 95% confidence intervals for the increasing interquatile range (IQR) of each air pollutant using Generalized Additive Models (GAM) appropriate for time series analysis. Results: In this study, we observed a significant association between the IQR increases of air pollutants and the prevalence risk of allergic diseases (allergic conjunctivitis, allergic rhinitis, asthma, and atopic dermatitis) in all metropolitan cities after adjusting for temperature, humidity, and air pressure at sea level. Among the air pollutants, NO 2 and PM 10 were associated with the prevalence of asthma, and O 3 was associated with only allergic conjunctivitis in regression analysis. However, in GAM analysis considering land-use, O 3 and SO 2 were associated with allergic conjunctivitis, PM10, O3, NO2, and CO were associated with allergic rhinitis, and PM 10 , O 3 and NO 2 were associated with asthma in industrial area. Conclusion: This study found a significant association between air pollution and the prevalence of allergic related diseases in industrial areas. More detailed research considering mixed traffic-related air pollution (TRAP) and conducting meta-analyses combining data of the all cities is required.