[논문]서울지역 미세먼지가 호흡기계 질환으로 입원한 환자에 미치는 영향

박해용; 박윤숙

doi:10.22156/cs4smb.2019.9.6.194

서울지역 미세먼지가 호흡기계 질환으로 입원한 환자에 미치는 영향
The Effects of PM10 on the Hospital Admission of Patients with Respiratory Disease in Seoul, Korea 원문보기

융합정보논문지 = Journal of Convergence for Information Technology, v.9 no.6, 2019년, pp.194 - 201

박해용 (국민건강보험공단일산병원) , 박윤숙 (국립중앙의료원)

초록
AI-Helper

서울지역의 호흡기질환으로 입원한 환자를 대상으로 미세먼지 노출에 대한 건강영향을 평가하였다. 건강보험공단의 2002-2010년 동안 표본코호트의 만성폐쇄성 폐 질환(COPD), 천식 및 폐렴과 같은 호흡기 질환으로 입원한 13,974명의 환자를 대상자로 하였다. 추적관찰 기간동안 미세먼지 농도가 50ug/m3 이상에서 10ug/m3 증가할 때 15세 미만의 연령층에서는 1.38%, 65세 이상의 연령층에서는 1.62%, 75세 이상 연령층에서는 2.87% 호흡기질환으로 입원이 증가하였고, 폐렴환자는 1.50%, COPD 환자는 1.51%, 폐렴 및 천식환자는 1.55% 입원이 증가하였다. 또한 미세먼지가 80ug/m3 이상에서는 65세 이상 연령층에서 3.71%, 75세 이상 연령층에서 4.25% 입원환자가 증가하였다. 높은 미세먼지농도와 호흡기 질환으로 입원한 환자들과, 특히 노인에서 관련성이 높게 나타났다. 이미 호흡기 질환이 있었던 사람들, 특히 나이가 많은 환자는 고농도의 미세먼지에 노출되지 않도록 주의해야 한다.

Abstract ▼ AI-Helper

This cohort study aimed to identify the effects of daily PM10 exposure on the hospital admission of patients with respiratory diseases, during the nine-year period (2002-2010), in Seoul, Korea. The research subjects were 13,974 patients who had been hospitalized with respiratory diseases, including chronic obstructive pulmonary disease (COPD), asthma, and pneumonia. During the follow-up period, an increase of 10 ug/m3 in PM10 under the threshold of 50 ug/m3 of PM10 led to hospital admission in 1.38% of the age group younger than 15 years, 1.62% in those 65 years or older, 2.87% in patients 75 years or older and in 1.50% of pneumonia patients, 1.51% of COPD patients, and 1.55% of pneumonia and asthma patients. Under the threshold of 80 ug/m3 of PM10, there was a 3.71% increase in new patients admitted in the age group 65 years or older and 4.25% in those at least 75 years old. Our study found that high PM10 was associated with increased risk of admission of respiratory patients, especially in the elderly. People who already have a respiratory disease should refrain from exposure to particulate matter when there is a high concentration of PM10, especially older patients.

주제어

표/그림 (4)

그림 Fig. 1. Trends of PM10 and daily hospitalization due to respiratory disease episodes
표 Table 1. Summary of hospital admissions, weather, and air pollution in Seoul
그림 Fig. 2. Relative risk functions of PM10 in respiratory patients for the three age groups on the lag effect in 2002–2010
표 Table 2. Percent increase (95% confidence interval) in daily outpatient count per each 10 ug/m3 increment above the age group- and disease-specific threshold

AI 본문요약
AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

문제 정의

The purpose of this study was to understand the effects of PM10 on patients who had been hospitalized with respiratory diseases; these patients were quantitatively analyzed to determine the impact of an increase in dust concentration on health. The study also attempted to determine the health effects among existing and new patients with respiratory diseases.
This study focused on daily PM10 concentrations to assess the health impacts and risk of negative effects in patients with severe respiratory disease by age. Those who already have a respiratory disease should refrain from exposure to particulate matter when a high concentration of PM10 is forecast, especially vulnerable groups.

참고문헌 (20)

WHO(2006). Air quality guidelines: Global update 2005. particulate matter, ozone, nitrogen dioxide and sulfur dioxide. World Health Organization.
J. N. B. Bell, L. Davies, S Honour, A. Klumpp, W. Ansel & G. Klumpp. (2004). Air pollution research in london. Urban air pollution bioindication and environmental awareness, 3-16.
M. L. Bell et al. (2007). Climate change, ambient ozone, and health in 50 US cities. Climate Change. 82(1-2), 61-76.

상세보기
Y. K. Lin, C. F. Chen, H. C. Yeh & Y. C. Wang. (2016). Emergency room visits associated with particulate concentration and Asian dust storms in metropolitan Taipei. Journal of Exposure Science and Environmental Epidemiology, 26(6), 104-111.

상세보기
W. J. Requia, C. D. Higgins, M. D. Adams, M. Mohamed & P. Koutrakis. (2018). The health impacts of weekday traffic: Ahealth risk assessment of PM2.5 emissions during congested periods. Environment International, 111, 14-176.

상세보기
H. Akaike. (1998). Information theory and an extension of the maximum likelihood principle. Selected Papers of Hirotugu Akaike, 199-213.
Y. Chung et al. (2015). Mortality Related to Extreme Temperature for 15 cities in Northeast Asia. Epidemiology, 26(20), 255-262.

상세보기
Y. Choi, H. Kim & J. T. Lee. (2018). Temporal variability of short term effects of PM10 on mortality in Seooul, Korea. Science of The Total Environment, 644(10), 122-128.

상세보기
W. Ji & B Zhao. (2015). Estimation Mortality Derived from Indoor Exposre to Particles of Outdoor Origin. PLoS One, 10(4), e0124238.

상세보기
E. H. Ha et al. (2009). Infant susceptibility of mortality to air pollution in Seoul, South Korea. Pediatrics, 111(2), 284-290.
S. Hales, C. Salmond, G. I, Town, T. Kjellstrom & A. Woodward. (2000). Daily mortality in relation to weather and air pollution in Christchurch, New Zealand. Australian and New Zealand Journal of Public Health, 20(1), 89-91.
A. Zanobetti & J. Schwartz. (2009). The effect of fine and coarse particulate air pollution on mortality: A national analysis. Environmental Health Perspectives, 117(6), 898-903.

상세보기
S. S. Hwang, S. H. Cho & H. J. Kwon. (2005). Effects of the severe asian dust events on daily mortality during the spring of 2002, in Seoul, Korea. Journal of Preventive Medicine and Public Health, 38(2), 197-202.
J. C. Choi, M. Lee, Y. Chun, J. Kim & S. Oh. (2001). Chemical composition and source signature of spring aerosol in Seoul, Korea. Journal of geophysical research, 106(D16), 18067-18074.

상세보기
H. Lee, S. S. Park, K. W. Kim & Y. J. Kim. (2008). Source identification of PM 2.5 particles measured in Gwangju, Korea. Atmospheric Research, 88(3), 199-211.

상세보기
S. E. Kim et al. (2017). Seasonal analysis of the short-term effects of air pollution on daily mortality on Northeast Asia. Science of The Total Environment, 576(17), 850-857.

상세보기
A. Faustini et el. (2011). The relationship between ambient particulate matter and respiratory mortality: a multi-city study in Italy. European Respiratory Jouranl, 38(3), 538-547.

상세보기
P. Salvador et al. (2011). Spatial and temporal variations in PM10 and PM2. 5 across madrid metropolitan area in 1999-2008. Procedia Environmental Sciences, 4, 198-208.

상세보기
E. Soleimanian et al. (2019). Spatial trends and sources of PM2.5 organic carbon volatility fractions(OCx) across the Los Angeles Basin. Atmospheric Environment, 209, 201-211.

상세보기
C. Rpper, L. G. Chubb, L. Cambal, B. Tunno, J. E. Clougherty & S E, Mischler. (2015). Characterization of ambient and extracted PM2.5 collected on filters for toxicology applications. Inhalation Toxicology, 27(13), 673-681.

상세보기

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증