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Culture, economic development, social-network type, and mortality: Evidence from Chinese older adults

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  • Li, Ting
  • Yang, Yang Claire
  • Zhang, Yanlong

Abstract

This study examined the patterns of social-network types and their relative survival benefits among Chinese older adults. We examined how macro-level social factors such as cultural norms and unbalanced regional economic development shaped older people's network behaviors, and whether these factors could moderate the association between network types and mortality. Using data from the Chinese Longitudinal Healthy Longevity Survey (2008–2014), we identified four network types—diverse, friend-focused, family-focused, and restricted—based on individuals' social network measures. Multinomial logistic analyses revealed that older people situated in an area with a deeply rooted family culture or a more advanced economy tend to be less likely to enroll in a diverse network than a family-focused one. This prevents them from achieving the best adaptive survival, as Cox regression analyses showed that the family-focused network type was less beneficial than the diverse one for the survival of older adults. Furthermore, while the survival advantage of the diverse-network type over the family-focused type did not change with cultural contexts, economic development attenuated the deleterious effects of the friend-focused network type.

Suggested Citation

  • Li, Ting & Yang, Yang Claire & Zhang, Yanlong, 2018. "Culture, economic development, social-network type, and mortality: Evidence from Chinese older adults," Social Science & Medicine, Elsevier, vol. 204(C), pages 23-30.
    • Handle: RePEc:eee:socmed:v:204:y:2018:i:c:p:23-30
    DOI: 10.1016/j.socscimed.2018.03.021
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    References listed on IDEAS

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    1. Li, Ting & Zhang, Yanlong, 2015. "Social network types and the health of older adults: Exploring reciprocal associations," Social Science & Medicine, Elsevier, vol. 130(C), pages 59-68.
    2. Ansley J. Coale, 1984. "The Demographic Transition," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 23(4), pages 531-552.
    3. Qinghua Zhang & Heng-fu Zou, 2012. "Regional Inequality in Contemporary China," Annals of Economics and Finance, Society for AEF, vol. 13(1), pages 113-137, May.
    4. Katherine L. Fiori & Toni C. Antonucci & Kai S. Cortina, 2006. "Social Network Typologies and Mental Health Among Older Adults," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 61(1), pages 25-32.
    5. Berkman, Lisa F. & Glass, Thomas & Brissette, Ian & Seeman, Teresa E., 2000. "From social integration to health: Durkheim in the new millennium," Social Science & Medicine, Elsevier, vol. 51(6), pages 843-857, September.
    6. Ray Forrest & Ade Kearns, 2001. "Social Cohesion, Social Capital and the Neighbourhood," Urban Studies, Urban Studies Journal Limited, vol. 38(12), pages 2125-2143, November.
    7. Julianne Holt-Lunstad & Timothy B Smith & J Bradley Layton, 2010. "Social Relationships and Mortality Risk: A Meta-analytic Review," PLOS Medicine, Public Library of Science, vol. 7(7), pages 1-1, July.
    8. Sheung-Tak Cheng & Coty K. L. Lee & Alfred C. M. Chan & Edward M. F. Leung & Jik-Joen Lee, 2009. "Social Network Types and Subjective Well-being in Chinese Older Adults," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 64(6), pages 713-722.
    9. Katherine L. Fiori & Jacqui Smith & Toni C. Antonucci, 2007. "Social Network Types Among Older Adults: A Multidimensional Approach," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 62(6), pages 322-330.
    10. Seeman, Teresa & Glei, Dana & Goldman, Noreen & Weinstein, Maxine & Singer, Burt & Lin, Yu-Hsuan, 2004. "Social relationships and allostatic load in Taiwanese elderly and near elderly," Social Science & Medicine, Elsevier, vol. 59(11), pages 2245-2257, December.
    11. James Vaupel & Kenneth Manton & Eric Stallard, 1979. "The impact of heterogeneity in individual frailty on the dynamics of mortality," Demography, Springer;Population Association of America (PAA), vol. 16(3), pages 439-454, August.
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