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Socioeconomic Status and Morbidity Rate Inequality in China: Based on NHSS and CHARLS Data

Author

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  • Yunyun Jiang

    (School of Economics, Peking University, Beijing 100871, China)

  • Haitao Zheng

    (School of Economics and Management, Beihang University, Beijing 100083, China)

  • Tianhao Zhao

    (School of Economics and Management, Beihang University, Beijing 100083, China)

Abstract

Previous studies have shown there are no consistent and robust associations between socioeconomic status and morbidity rates. This study focuses on the relationship between the socioeconomic status and the morbidity rates in China, which helps to add new evidence for the fragmentary relationship between socioeconomic status and morbidity rates. The National Health Services Survey (NHSS) and China Health and Retirement Longitudinal Study (CHARLS) data are used to examine whether the association holds in both all-age cohorts and in older only cohorts. Three morbidity outcomes (two-week incidence rate, the prevalence of chronic diseases, and the number of sick days per thousand people) and two socioeconomic status indicators (income and education) are mainly examined. The results indicate that there are quadratic relationships between income per capita and morbidities. This non-linear correlation is similar to the patterns in European countries. Meanwhile, there is no association between education years and the morbidity in China, i.e., either two-week incidence rate or prevalence rate of chronic diseases has no statistically significant relationship with the education level in China.

Suggested Citation

  • Yunyun Jiang & Haitao Zheng & Tianhao Zhao, 2019. "Socioeconomic Status and Morbidity Rate Inequality in China: Based on NHSS and CHARLS Data," IJERPH, MDPI, vol. 16(2), pages 1-19, January.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:2:p:215-:d:197461
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    as
    1. Winkleby, M.A. & Jatulis, D.E. & Frank, E. & Fortmann, S.P., 1992. "Socioeconomic status and health: How education, income, and occupation contribute to risk factors for cardiovascular disease," American Journal of Public Health, American Public Health Association, vol. 82(6), pages 816-820.
    2. Lingguo Cheng & Hong Liu & Ye Zhang & Ke Shen & Yi Zeng, 2015. "The Impact of Health Insurance on Health Outcomes and Spending of the Elderly: Evidence from China's New Cooperative Medical Scheme," Health Economics, John Wiley & Sons, Ltd., vol. 24(6), pages 672-691, June.
    3. Kempen, Gertrudis I. J. M. & Brilman, Els I. & Ranchor, Adelita V. & Ormel, Johan, 1999. "Morbidity and quality of life and the moderating effects of level of education in the elderly," Social Science & Medicine, Elsevier, vol. 49(1), pages 143-149, July.
    4. Chunping Han, 2014. "Health Implications of Socioeconomic Characteristics, Subjective Social Status, and Perceptions of Inequality: An Empirical Study of China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(2), pages 495-514, November.
    5. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.
    6. Myung Ki & Yo Han Lee & Yong-Soo Kim & Ji-Yeon Shin & Jiseun Lim & James Nazroo, 2017. "Socioeconomic inequalities in health in the context of multimorbidity: A Korean panel study," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-14, March.
    7. Mackenbach, Johan P. & Stronks, Karien & Kunst, Anton E., 1989. "The contribution of medical care to inequalities in health: Differences between socio-economic groups in decline of mortality from conditions amenable to medical intervention," Social Science & Medicine, Elsevier, vol. 29(3), pages 369-376, January.
    8. Karen Eggleston & Li Ling & Meng Qingyue & Magnus Lindelow & Adam Wagstaff, 2008. "Health service delivery in China: a literature review," Health Economics, John Wiley & Sons, Ltd., vol. 17(2), pages 149-165, February.
    9. Huisman, Martijn & Kunst, Anton E. & Mackenbach, Johan P., 2003. "Socioeconomic inequalities in morbidity among the elderly; a European overview," Social Science & Medicine, Elsevier, vol. 57(5), pages 861-873, September.
    10. Filmer, Deon & Pritchett, Lant, 1999. "The impact of public spending on health: does money matter?," Social Science & Medicine, Elsevier, vol. 49(10), pages 1309-1323, November.
    11. Cecilia Potente & Christiaan Monden, 2018. "Disability pathways preceding death in England by socio-economic status," Population Studies, Taylor & Francis Journals, vol. 72(2), pages 175-190, May.
    12. Fang, Xiangming & Jing, Ruiwei & Zeng, Guang & Linnan, Huan Wan & Zhu, Xu & Linnan, Michael, 2014. "Socioeconomic status and the incidence of child injuries in China," Social Science & Medicine, Elsevier, vol. 102(C), pages 33-40.
    13. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.
    14. von dem Knesebeck, Olaf & Verde, Pablo E. & Dragano, Nico, 2006. "Education and health in 22 European countries," Social Science & Medicine, Elsevier, vol. 63(5), pages 1344-1351, September.
    15. Liao, Y. & McGee, D.L. & Kaufman, J.S. & Cao, G. & Cooper, R.S., 1999. "Socioeconomic status and morbidity in the last years of life," American Journal of Public Health, American Public Health Association, vol. 89(4), pages 569-572.
    16. Knesebeck, Olaf von dem & Lüschen, Günther & Cockerham, William C. & Siegrist, Johannes, 2003. "Socioeconomic status and health among the aged in the United States and Germany: A comparative cross-sectional study," Social Science & Medicine, Elsevier, vol. 57(9), pages 1643-1652, November.
    17. Mustard, Cameron A. & Derksen, Shelley & Berthelot, Jean-marie & Wolfson, Michael & Roos, Leslie L., 1997. "Age-specific education and income gradients in morbidity and mortality in a Canadian province," Social Science & Medicine, Elsevier, vol. 45(3), pages 383-397, August.
    18. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    19. Eileen Crimmins & Mark Hayward & Yasuhiko Saito, 1994. "Changing mortality and morbidity rates and the health status and life expectancy of the older population," Demography, Springer;Population Association of America (PAA), vol. 31(1), pages 159-175, February.
    20. Colin Bell, A. & Adair, Linda S. & Popkin, Barry M., 2004. "Understanding the role of mediating risk factors and proxy effects in the association between socio-economic status and untreated hypertension," Social Science & Medicine, Elsevier, vol. 59(2), pages 275-283, July.
    21. Lei, Xiaoyan & Yin, Nina & Zhao, Yaohui, 2012. "Socioeconomic status and chronic diseases: The case of hypertension in China," China Economic Review, Elsevier, vol. 23(1), pages 105-121.
    22. Luo, Ye & Zhang, Zhenmei & Gu, Danan, 2015. "Education and mortality among older adults in China," Social Science & Medicine, Elsevier, vol. 127(C), pages 134-142.
    23. Elo, Irma T. & Preston, Samuel H., 1996. "Educational differentials in mortality: United States, 1979-1985," Social Science & Medicine, Elsevier, vol. 42(1), pages 47-57, January.
    24. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.
    25. Lantz, Paula M. & Lynch, John W. & House, James S. & Lepkowski, James M. & Mero, Richard P. & Musick, Marc A. & Williams, David R., 2001. "Socioeconomic disparities in health change in a longitudinal study of US adults: the role of health-risk behaviors," Social Science & Medicine, Elsevier, vol. 53(1), pages 29-40, July.
    26. Weixiang Luo & Yu Xie, 2014. "Socio-economic disparities in mortality among the elderly in China," Population Studies, Taylor & Francis Journals, vol. 68(3), pages 305-320, November.
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