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Educational Inequalities in Self-Rated Health in Europe and South Korea

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  • Minhye Kim

    (Institute of Health Policy and Management, Seoul National University Medical Research Center, 103 Daehak-ro (Yeongeon-dong) Jongno-gu, Seoul 03080, Korea
    Ewha Institute for Age Integration Research, Ewha Womans University, SK Telecom building 504-1 ho, Ewhayeodae-gil 52, Seodaemun-gu, Seoul 03760, Korea
    Inequality and Social Policy Institute, Gacheon University, 1342 Seongnamdaero, Sujeong-gu, Seongnam-si, Gyeonggi-do 13120, Korea)

  • Young-Ho Khang

    (Institute of Health Policy and Management, Seoul National University Medical Research Center, 103 Daehak-ro (Yeongeon-dong) Jongno-gu, Seoul 03080, Korea
    Department of Health Policy and Management, College of Medicine, Seoul National University, 103 Daehak-ro (Yeongeon-dong) Jongno-gu, Seoul 03080, Korea)

  • Hee-Yeon Kang

    (Department of Health Policy and Management, College of Medicine, Seoul National University, 103 Daehak-ro (Yeongeon-dong) Jongno-gu, Seoul 03080, Korea)

  • Hwa-Kyung Lim

    (Institute of Health Policy and Management, Seoul National University Medical Research Center, 103 Daehak-ro (Yeongeon-dong) Jongno-gu, Seoul 03080, Korea)

Abstract

While numerous comparative works on the magnitude of health inequalities in Europe have been conducted, there is a paucity of research that encompasses non-European nations such as Asian countries. This study was conducted to compare Europe and Korea in terms of educational health inequalities, with poor self-rated health (SRH) as the outcome variable. The European Union Statistics on Income and Living Conditions and the Korea National Health and Nutrition Examination Survey in 2017 were used (31 countries). Adult men and women aged 20+ years were included (207,245 men and 238,007 women). The age-standardized, sex-specific prevalence of poor SRH by educational level was computed. The slope index of inequality (SII) and relative index of inequality (RII) were calculated. The prevalence of poor SRH was higher in Korea than in other countries for both low/middle- and highly educated individuals. Among highly educated Koreans, the proportion of less healthy women was higher than that of less healthy men. Korea’s SII was the highest for men (15.7%) and the ninth-highest for women (10.4%). In contrast, Korea’s RII was the third-lowest for men (3.27), and the lowest among women (1.98). This high-SII–low-RII mix seems to have been generated by the high level of baseline poor SRH.

Suggested Citation

  • Minhye Kim & Young-Ho Khang & Hee-Yeon Kang & Hwa-Kyung Lim, 2020. "Educational Inequalities in Self-Rated Health in Europe and South Korea," IJERPH, MDPI, vol. 17(12), pages 1-14, June.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:12:p:4504-:d:375190
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    References listed on IDEAS

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    1. Titus J. Galama & Adriana Lleras-Muney & Hans van Kippersluis, 2018. "The Effect of Education on Health and Mortality: A Review of Experimental and Quasi-Experimental Evidence," NBER Working Papers 24225, National Bureau of Economic Research, Inc.
    2. O'Doherty, M.G. & French, D. & Steptoe, A. & Kee, F., 2017. "Social capital, deprivation and self-rated health: Does reporting heterogeneity play a role? Results from the English Longitudinal Study of Ageing," Social Science & Medicine, Elsevier, vol. 179(C), pages 191-200.
    3. Khang, Young-Ho & Lynch, John W. & Yang, Seungmi & Harper, Sam & Yun, Sung-Cheol & Jung-Choi, Kyunghee & Kim, Hye Ryun, 2009. "The contribution of material, psychosocial, and behavioral factors in explaining educational and occupational mortality inequalities in a nationally representative sample of South Koreans: Relative an," Social Science & Medicine, Elsevier, vol. 68(5), pages 858-866, March.
    4. Laura Rossouw & Teresa Bago d’Uva & Eddy Doorslaer, 2018. "Poor Health Reporting? Using Anchoring Vignettes to Uncover Health Disparities by Wealth and Race," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1935-1956, October.
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