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Variations in Social Network Type Membership Among Older African Americans, Caribbean Blacks, and Non-Hispanic Whites

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  • Ann W. Nguyen

Abstract

Objectives:This study examined race differences in the probability of belonging to a specific social network typology of family, friends, and church members.Method:Samples of African Americans, Caribbean blacks, and non-Hispanic whites aged 55+ were drawn from the National Survey of American Life. Typology indicators related to social integration and negative interactions with family, friendship, and church networks were used. Latent class analysis was used to identify typologies, and latent class multinomial logistic regression was used to assess the influence of race, and interactions between race and age, and race and education on typology membership.Results:Four network typologies were identified: optimal (high social integration, low negative interaction), family-centered (high social integration within primarily the extended family network, low negative interaction), strained (low social integration, high negative interaction), and ambivalent (high social integration and high negative interaction). Findings for race and age and race and education interactions indicated that the effects of education and age on typology membership varied by race.Discussion:Overall, the findings demonstrate how race interacts with age and education to influence the probability of belonging to particular network types. A better understanding of the influence of race, education, and age on social network typologies will inform future research and theoretical developments in this area.

Suggested Citation

  • Ann W. Nguyen, 2017. "Variations in Social Network Type Membership Among Older African Americans, Caribbean Blacks, and Non-Hispanic Whites," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 72(4), pages 716-726.
    • Handle: RePEc:oup:geronb:v:72:y:2017:i:4:p:716-726.
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    File URL: http://hdl.handle.net/10.1093/geronb/gbx016
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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. Shiovitz-Ezra, Sharon & Litwin, Howard, 2012. "Social network type and health-related behaviors: Evidence from an American national survey," Social Science & Medicine, Elsevier, vol. 75(5), pages 901-904.
    3. 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.
    4. 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.
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    2. Carly Roman & Christopher R. Beam & Elizabeth Zelinski, 2022. "Psychosocial Outcomes of Age Integration Status: Do Age-Integrated Social Networks Benefit Older Adults?," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
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    4. Grand H.-L. Cheng & Angelique Chan & Truls Østbye & Rahul Malhotra, 2022. "The association of human, social, and cultural capital with prevalent volunteering profiles in late midlife," European Journal of Ageing, Springer, vol. 19(1), pages 95-105, March.

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