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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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    15. Dembo, Robert S. & Huntington, Nick & Mitra, Monika & Rudolph, Abby E. & Lachman, Margie E. & Mailick, Marsha R., 2022. "Social network typology and health among parents of children with developmental disabilities: Results from a national study of midlife adults," Social Science & Medicine, Elsevier, vol. 292(C).
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    18. Foster, Sarah & Hooper, Paula & Knuiman, Matthew & Giles-Corti, Billie, 2016. "Does heightened fear of crime lead to poorer mental health in new suburbs, or vice versa?," Social Science & Medicine, Elsevier, vol. 168(C), pages 30-34.
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    20. Xiaoqing Zeng & Yahui Chen & Yeqing Li, 2023. "Generate Greater Gratitude When Being Help? A Study of the Psychological Mechanism of Gratitude for Chinese Poor College Students," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(4), pages 1875-1893, August.
    21. Yen, Dorothy & Cohen, Geraldine & Wei, Liyuan & Asaad, Yousra, 2022. "Towards a framework of healthy aging practices," Journal of Business Research, Elsevier, vol. 142(C), pages 176-187.
    22. Catherin Bosle & Hermann Brenner & Joachim E. Fischer & Marc N. Jarczok & Ben Schöttker & Laura Perna & Kristina Hoffmann & Raphael M. Herr, 2022. "The association between supportive social ties and autonomic nervous system function—differences between family ties and friendship ties in a cohort of older adults," European Journal of Ageing, Springer, vol. 19(2), pages 263-276, June.
    23. Admassu N. Lamu & Jan Abel Olsen, 2018. "Yes, health is important, but as much for its importance via social life: The direct and indirect effects of health on subjective well‐being in chronically ill individuals," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 209-222, January.
    24. 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.
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