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논문 기본 정보

자료유형
학술저널
저자정보
Jung Yoon-Sun (Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.) Kim Young-Eun (Department of Big Data Strategy, National Health Insurance Service, Wonju, Korea.) Ock Minsu (Department of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.Department of Preventive Medicine, University of Ulsan College of Medicine) Yoon Seok-Jun (Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.)
저널정보
대한의학회 Journal of Korean Medical Science Journal of Korean Medical Science Vol.39 No.6
발행연도
2024.2
수록면
1 - 14 (14page)
DOI
10.3346/jkms.2024.39.e46

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초록· 키워드

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Background: Healthy life expectancy is a well-recognized indicator for establishing health policy goals used in Korea’s Health Plan. This study aimed to explore Koreans’ healthy life expectancy and its gender, income, and regional disparities from 2008 to 2020. Methods: This study was conducted on the entire population covered by health insurance and medical aid program in Korea. The incidence-based “years lived with disability” for 260 disease groups by gender, income level, and region was calculated employing the methodology developed in the Korean National Burden of Disease Study, and it was used as the number of healthy years lost to calculate health-adjusted life expectancy (HALE). Results: Koreans’ HALE increased from 68.89 years in 2008 to 71.82 years in 2020. Although the gender disparity in HALE had been decreasing, it increased to 4.55 years in 2020. As of 2020, 5.90 years out of 8.67 years of the income disparity (Q5–Q1) in HALE were due to the disparity between Q1 and Q2, the low-income groups. Income and regional disparities in HALE exhibited an increasing trend, and these disparities were higher in men than in women. Conclusion: A subgroup with a low health level was identified through the HALE results, and it was confirmed that improving the health level of this population can reduce health inequalities and improve health at the national level. Further exploration of the HALE calculation methodology may help in the development of effective policies such as prioritizing interventions for health risk factors.

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