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Relations Between Socioeconomic Status, Subjective Social Status, and Health in Shanghai, China

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  • Jason R. D. Rarick
  • Carly Tubbs Dolan
  • Wen‐Jui Han
  • Jun Wen

Abstract

Objectives Although research has established a strong link between socioeconomic status (SES) and health in Western settings, comparable work in China lags behind. Similarly, studies showing a unique relationship for subjective social status (SSS) and health above and beyond SES have yet to be tested in China. The present study addresses these gaps. Methods Regression analyses investigated the relationship between SES, SSS, and mental and physical health net of several covariates for 2,282 caregivers in Shanghai, China. Indirect relationships for SES through SSS were also tested. Results Results indicate that SES is linked to mental and physical health outcomes, but in complicated ways. SSS, on the other hand, is consistently and robustly linked to health outcomes above and beyond income, education, occupational prestige, and Hukou status. Further significant indirect effects were found through SSS for income, education, and Hukou status. Conclusion In China's context of rapid economic growth, relationships to SES and health appear complicated. However, subjective perceptions of status are consistently linked to health outcomes.

Suggested Citation

  • Jason R. D. Rarick & Carly Tubbs Dolan & Wen‐Jui Han & Jun Wen, 2018. "Relations Between Socioeconomic Status, Subjective Social Status, and Health in Shanghai, China," Social Science Quarterly, Southwestern Social Science Association, vol. 99(1), pages 390-405, March.
    • Handle: RePEc:bla:socsci:v:99:y:2018:i:1:p:390-405
    DOI: 10.1111/ssqu.12360
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    References listed on IDEAS

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    1. 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.
    2. Leu, Janxin & Yen, Irene H. & Gansky, Stuart A. & Walton, Emily & Adler, Nancy E. & Takeuchi, David T., 2008. "The association between subjective social status and mental health among Asian immigrants: Investigating the influence of age at immigration," Social Science & Medicine, Elsevier, vol. 66(5), pages 1152-1164, March.
    3. Oakes, J. Michael & Rossi, Peter H., 2003. "The measurement of SES in health research: current practice and steps toward a new approach," Social Science & Medicine, Elsevier, vol. 56(4), pages 769-784, February.
    4. Singh-Manoux, Archana & Adler, Nancy E. & Marmot, Michael G., 2003. "Subjective social status: its determinants and its association with measures of ill-health in the Whitehall II study," Social Science & Medicine, Elsevier, vol. 56(6), pages 1321-1333, March.
    5. Walker, Robert, 2014. "The Shame of Poverty," OUP Catalogue, Oxford University Press, number 9780199684823.
    6. Santiago, Catherine DeCarlo & Wadsworth, Martha E. & Stump, Jessica, 2011. "Socioeconomic status, neighborhood disadvantage, and poverty-related stress: Prospective effects on psychological syndromes among diverse low-income families," Journal of Economic Psychology, Elsevier, vol. 32(2), pages 218-230, March.
    7. Pham-Kanter, Genevieve, 2009. "Social comparisons and health: Can having richer friends and neighbors make you sick?," Social Science & Medicine, Elsevier, vol. 69(3), pages 335-344, August.
    8. 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.
    9. Patrick Royston, 2005. "Multiple imputation of missing values: update," Stata Journal, StataCorp LP, vol. 5(2), pages 188-201, June.
    10. Patrick Royston, 2005. "Multiple imputation of missing values: Update of ice," Stata Journal, StataCorp LP, vol. 5(4), pages 527-536, December.
    11. Barry Naughton, 2007. "The Chinese Economy: Transitions and Growth," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262640643, December.
    12. Nobles, Jenna & Weintraub, Miranda Ritterman & Adler, Nancy E., 2013. "Subjective socioeconomic status and health: Relationships reconsidered," Social Science & Medicine, Elsevier, vol. 82(C), pages 58-66.
    13. Patrick Royston, 2005. "MICE for multiple imputation of missing values," United Kingdom Stata Users' Group Meetings 2005 02, Stata Users Group.
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    1. Hong Zou & Qianqian Xiong & Hongwei Xu, 2020. "Does Subjective Social Status Predict Self-Rated Health in Chinese Adults and Why?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(2), pages 443-471, November.

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