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Social network types and the health of older adults: Exploring reciprocal associations

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  • Li, Ting
  • Zhang, Yanlong

Abstract

Social network types have been proved to have significant impacts on older population's health outcomes. However, the existing discoveries are still inconsistent, which may be attributed largely to the heterogeneous measures and methods scholars used and to the unidirectional causalities presumed in most research. This study addresses these gaps by using more-refined measures to explore whether the network types have differential impacts on older adults' health outcomes, and whether a reverse causal relationship exists between older adults' health conditions and the network types they adopted. Using data from three recent waves (2005, 2008, and 2012) of the Chinese Longitudinal Healthy Longevity Survey (n = 4190), we constructed four network types using the K-means clustering method (i.e., diverse, friend, family, and restricted), and examined their impacts on a variety of health outcomes (i.e., physical, cognitive, psychological, and overall well-being). Our results demonstrate that there are strong reciprocal associations between these two factors. On the one hand, a diverse network type yielded the most beneficial health outcomes as measured by multiple health indicators, and the friend-focused network type is more beneficial than the family-focused network type in physical outcomes but not in psychological outcomes. On the other hand, we found that a decrease in all health indicators leads to withdrawal from more-beneficial network types such as a diversified network type, and a shift to less-beneficial network types such as family-focused or restricted networks. The understanding of this reciprocal association could encourage programs designed to enhance healthy aging to focus on improving the bridging social capital of older adults so that they can break the vicious cycle between network isolation and poor health conditions.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:socmed:v:130:y:2015:i:c:p:59-68
    DOI: 10.1016/j.socscimed.2015.02.007
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    References listed on IDEAS

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    1. repec:cai:popine:popu_p2001_13n1_0116 is not listed on IDEAS
    2. 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.
    3. Luo, Ye & Hawkley, Louise C. & Waite, Linda J. & Cacioppo, John T., 2012. "Loneliness, health, and mortality in old age: A national longitudinal study," Social Science & Medicine, Elsevier, vol. 74(6), pages 907-914.
    4. 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.
    5. Benjamin Cornwell, 2011. "Independence Through Social Networks: Bridging Potential Among Older Women and Men," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(6), pages 782-794.
    6. Legh-Jones, Hannah & Moore, Spencer, 2012. "Network social capital, social participation, and physical inactivity in an urban adult population," Social Science & Medicine, Elsevier, vol. 74(9), pages 1362-1367.
    7. Litwin, Howard, 0. "Social network type and health status in a national sample of elderly Israelis," Social Science & Medicine, Elsevier, vol. 46(4-5), pages 599-609, February.
    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. Zhenmei Zhang, 2006. "Gender Differentials in Cognitive Impairment and Decline of the Oldest Old in China," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 61(2), pages 107-115.
    10. 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.
    11. 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.
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