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Educational inequalities in self-rated health and their mediators in late adulthood: Comparison of China and Japan

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  • Ruru Ping
  • Takashi Oshio

Abstract

Education has an impact on health, but the magnitude of the impact may vary across countries. This cross-sectional study compared educational inequalities in health and their mediators in late adulthood between China and Japan, which both face rapid population aging. We studied the same age cohort (63–72 years) based on two nationwide population-based surveys in 2018: the China Health and Retirement Longitudinal Study (N = 5,277) and Japan’s Longitudinal Survey of Middle-Age and Elderly Persons (N = 20,001). The relative index of inequality (RII) in education was used to measure educational inequality in self-rated health (SRH). We then examined the extent to which income, smoking, leisure-time physical activity, and social participation mediated educational inequalities in SRH. In both countries, a lower educational level was associated with a higher risk of poor SRH; in China, however, the gradient was flatter. In China, the RII of education was 1.69 (95% confidence interval [CI]: 1.20–2.39) for men and 1.47 (95% CI: 1.06–2.05) for women. In Japan, meanwhile, RII was 2.70 (95% CI: 2.21–3.28) for men and 2.60 (95% CI: 2.13–3.18) for women. Our mediation analysis based on logistic regression models with bootstrapping also found that social participation was a key mediator of educational inequalities in health in both countries. In all, the results underscore that one’s relative position in educational inequalities is a reliable predictor of subjective health in late adulthood in both China and Japan.

Suggested Citation

  • Ruru Ping & Takashi Oshio, 2023. "Educational inequalities in self-rated health and their mediators in late adulthood: Comparison of China and Japan," PLOS ONE, Public Library of Science, vol. 18(9), pages 1-13, September.
  • Handle: RePEc:plo:pone00:0291661
    DOI: 10.1371/journal.pone.0291661
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    References listed on IDEAS

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    1. Neil M. Davies & Matt Dickson & George Davey Smith & Gerard J. van den Berg & Frank Windmeijer, 2018. "The causal effects of education on health outcomes in the UK Biobank," Nature Human Behaviour, Nature, vol. 2(2), pages 117-125, February.
    2. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    3. Xie, Shiqing & Mo, Taiping, 2014. "The impact of education on health in China," China Economic Review, Elsevier, vol. 29(C), pages 1-18.
    4. Ross, Catherine E. & Mirowsky, John, 2006. "Sex differences in the effect of education on depression: Resource multiplication or resource substitution?," Social Science & Medicine, Elsevier, vol. 63(5), pages 1400-1413, September.
    5. Kino, Shiho & Jang, Soong-nang & Takahashi, Shuko & Ebner, Daniel K. & Kawachi, Ichiro, 2020. "Socioeconomic disparities in self-rated health in two East Asian countries: Comparative study between Japan and Korea," Social Science & Medicine, Elsevier, vol. 253(C).
    6. Smith, James P. & Strauss, John & Zhao, Yaohui, 2014. "Healthy aging in China," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 37-43.
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