인구구조 변동 추세를 반영한 미세먼지 노출에 의한 조기 사망자 추정
Estimation of Premature Deaths due to Exposure to Particulate Matter (PM2.5) Reflecting Population Structure Change in South Korea
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Background: PM2.5 pollution has been a persistent problem in South Korea, with concentrations consistently exceeding World Health Organization (WHO) guidelines. The aging of the population in the country further exacerbates the health impacts of PM2.5 since older adults are more susceptible to the adverse effects of air pollution. Objectives: This study aims to evaluate how the health impact (premature death) due to long-term exposure to PM2.5 in South Korea could change in the future according to the trend of change in the country’s population structure. Methods: The study employs a relative risk function, which accounts for age-specific relative risks, to assess the changes in premature deaths by age and region at the average annual PM2.5 concentration for 2022 and at PM2.5 concentration improvement levels. Premature deaths were estimated using the Global Exposure Mortality Model (GEMM). Results: The findings indicate that the increase in premature deaths resulting from the projected population structure changes up to 2050 would significantly outweigh the health benefits (reduction in premature deaths) compared to 2012. This is primarily attributed to the rising number of premature deaths among the elderly due to population aging. Furthermore, the study suggests that the effectiveness of the current domestic PM 2.5 standard would be halved by 2050 due to the increasing impact of population aging on PM2.5-related mortality. Conclusions: The study highlights the importance of considering trends in population structure when evaluating the health benefits of air pollution reduction measures. By comparing and evaluating the health benefits in ref lection of changes in population structure to the predicted PM2.5 concentration improvements at the provincial level, a more comprehensive assessment of regional air quality management strategies can be achieved.
Abstract
Background: PM2.5 pollution has been a persistent problem in South Korea, with concentrations consistently exceeding World Health Organization (WHO) guidelines. The aging of the population in the country further exacerbates the health impacts of PM2.5 since older adults are more susceptible to the adverse effects of air pollution. Objectives: This study aims to evaluate how the health impact (premature death) due to long-term exposure to PM2.5 in South Korea could change in the future according to the trend of change in the country’s population structure. Methods: The study employs a relative risk function, which accounts for age-specific relative risks, to assess the changes in premature deaths by age and region at the average annual PM2.5 concentration for 2022 and at PM2.5 concentration improvement levels. Premature deaths were estimated using the Global Exposure Mortality Model (GEMM). Results: The findings indicate that the increase in premature deaths resulting from the projected population structure changes up to 2050 would significantly outweigh the health benefits (reduction in premature deaths) compared to 2012. This is primarily attributed to the rising number of premature deaths among the elderly due to population aging. Furthermore, the study suggests that the effectiveness of the current domestic PM 2.5 standard would be halved by 2050 due to the increasing impact of population aging on PM2.5-related mortality. Conclusions: The study highlights the importance of considering trends in population structure when evaluating the health benefits of air pollution reduction measures. By comparing and evaluating the health benefits in ref lection of changes in population structure to the predicted PM2.5 concentration improvements at the provincial level, a more comprehensive assessment of regional air quality management strategies can be achieved.
참고문헌 (14)
- GBD 2019 Diseases and Injuries Collaborators, "Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019", Lancet, 396(10258), pp.1204~1222 (2020)
- 하종식, "입자상 대기오염물질의 건강 위해성 평가를 위한 국내 농도반응함수 도출", 한국환경보건학회지, 43(3), pp.202~213 (2017), 한국환경보건학회
- Burnett R, "Relative risk functions for estimating excess mortality attributable to outdoor PM2.5 air pollution: evolution and state-of-the-art", Atmosphere, 11(6), pp.589~ (2020)
- Bae HJ, "Health benefits of improving air quality in the rapidly aging Korean society", Sci Total Environ, 407(23), pp.5971~5977 (2009)
- Burnett RT, "An integrated risk function for estimating the global burden of disease attributable to ambient fine particulate matter exposure", Environ Health Perspect, 122(4), pp.397~403 (2014)[DOI]
- Yin H, "Population ageing and deaths attributable to ambient PM2.5 pollution: a global analysis of economic cost", Lancet Planet Health, 5(6), pp.e356~e367 (2021)
- Burnett R, "Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter", Proc Natl Acad Sci U S A, 115(38), pp.9592~9597 (2018)
- A framework for estimating the long-term health effects of air pollution, "Bae HJ", Korea Environment Institute, ~, pp.Report No.: 2014-16 (2014)
- Hwang IC, "The effects of aging and ultrafine dust on health", Policy Rep, 287, pp.1~22 (2019)
- Shin JY, "The health impact of fine dust and its policy implications", Issue Focus, 435, pp.1~10 (2023)
- Centre for Environment & Health, Living & Working Environments, "Achieving health benefits from carbon reductions. Manual for use of the climate change mitigation, air quality and health tool", World Health Organization Regional Office for Europe, ~ (2023)
- GBD 2019 Risk Factors Collaborators, "Global burden of 87 risk factors in 204 countries and territories, 1990-2019 : a systematic analysis for the Global Burden of Disease Study 2019", Lancet, 396(10258), pp.1223~1249 (2020)
- World Health Organization(WHO), "WHO methods and data sources for country-level causes of death 2000-2019", WHO, ~ (2023)
- World Health Organization(WHO), "Air quality guidelines-update 2021", WHO, ~ (2021)