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자료유형
학술저널
저자정보
변가람 (고려대학교) 최용수 (고려대학교) 길준수 (고려대학교) 차준일 (고려대학교 지구환경과학과) 이미혜 (고려대학교) 이종태 (고려대학교)
저널정보
한국환경보건학회 한국환경보건학회지 한국환경보건학회지 제47권 제5호
발행연도
2021.10
수록면
486 - 495 (10page)
DOI
10.5668/JEHS.2021.47.5.486

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Background: Particulate matter (PM) is one of the leading causes of premature death worldwide. Previous studies in South Korea have applied a relative risk calculated from Western populations when estimating the disease burden attributable to PM. However, the relative risk of PM on health outcomes may not be the same across different countries or regions. Objectives: This study aimed to estimate the premature deaths and socioeconomic costs attributable to long- term exposure to PM in South Korea. We considered not only the difference in PM concentration between regions, but also the difference in relative risk. Methods: National monitoring data of PM concentrations was obtained, and missing values were imputed using the AERMOD model and linear regression model. As a surrogate for relative risk, hazard ratios (HRs) of PM for cardiovascular and respiratory mortality were estimated using the National Health Insurance Service- National Sample Cohort. The nation was divided into five areas (metropolitan, central, southern, south- eastern, and Gangwon-do Province regions). The number of PM attributable deaths in 2018 was calculated at the district level. The socioeconomic cost was derived by multiplying the number of deaths and the statistical value of life. Results: The average PM10 concentration for 2014~2018 was 45.2 μg/m3. The association between long-term exposure to PM10 and mortality was heterogeneous between areas. When applying area-specific HRs, 23,811 premature deaths from cardiovascular and respiratory disease in 2018 were attributable to PM10 (reference level 20 μg/m3). The corresponding socioeconomic cost was about 31 trillion won. These estimated values were higher than that when applying nationwide HRs. Conclusions: This study is the first research to estimate the premature mortality caused by long-term exposure to PM using relative risks derived from the national population. This study will help precisely identify the national and regional health burden attributed to PM and establish the priorities of air quality policy.

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