The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Social Network Type and Subjective Well-being in a National Sample of Older Americans
Open accessAbstract
PURPOSE: The study considers the social networks of older Americans, a population for whom there have been few studies of social network type. It also examines associations between network types and well-being indicators: loneliness, anxiety, and happiness. DESIGN AND METHODS: A subsample of persons aged 65 years and older from the first wave of the National Social Life, Health, and Aging Project was employed (N = 1,462). We applied K-means cluster analysis to derive social network types using 7 criterion variables. In the multivariate stage, the well-being outcomes were regressed on the network type construct and on background and health characteristics by means of logistic regression. RESULTS: Five social network types were derived: "diverse," "friend," "congregant," "family," and "restricted." Social network type was found to be associated with each of the well-being indicators after adjusting for demographic and health confounders. Respondents embedded in network types characterized by greater social capital tended to exhibit better well-being in terms of less loneliness, less anxiety, and greater happiness. IMPLICATIONS: Knowledge about differing network types should make gerontological practitioners more aware of the varying interpersonal milieus in which older people function. Adopting network type assessment as an integral part of intake procedures and tracing network shifts over time can serve as a basis for risk assessment as well as a means for determining the efficacy of interventions.
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Cites
The Hospital Anxiety and Depression Scale
Zigmond, A. S., & Snaith, R. P. (1983) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.1983.tb09716.x · Cited by 47,139
BERKMAN, L. F., & SYME, S. L. (1979) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112674 · Cited by 5,341
Herrmann, C. (1997) · Journal of Psychosomatic Research · doi:10.1016/s0022-3999(96)00216-4 · Cited by 2,885
Cacioppo, J. T., Hughes, M. E., Waite, L. J., Hawkley, L. C., & Thisted, R. A. (2006) · Psychology and Aging · doi:10.1037/0882-7974.21.1.140 · Cited by 2,380
Lubben, J., Blozik, E., Gillmann, G., Iliffe, S., von Renteln Kruse, W., Beck, J. C., & Stuck, A. E. (2006) · The Gerontologist · doi:10.1093/geront/46.4.503 · Cited by 2,123
Fowler, J. H., & Christakis, N. A. (2008) · BMJ · doi:10.1136/bmj.a2338 · Cited by 1,990
Pinquart, M., & Sörensen, S. (2000) · Psychology and Aging · doi:10.1037/0882-7974.15.2.187 · Cited by 1,549
Loneliness: A Sourcebook of Current Theory, Research and Therapy.
Bahr, H. M., Peplau, L. A., & Perlman, D. (1984) · Contemporary Sociology · doi:10.2307/2068915 · Cited by 1,395
Loneliness and Risk of Alzheimer Disease
Wilson, R. S., Krueger, K. R., Arnold, S. E., Schneider, J. A., Kelly, J. F., Barnes, L. L., Tang, Y., & Bennett, D. A. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.2.234 · Cited by 1,363
Alone in the crowd: The structure and spread of loneliness in a large social network.
Cacioppo, J. T., Fowler, J. H., & Christakis, N. A. (2009) · Journal of Personality and Social Psychology · doi:10.1037/a0016076 · Cited by 846
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Can digital technology enhance social connectedness among older adults? A feasibility study
Barbosa Neves, B., Franz, R., Judges, R., Beermann, C., & Baecker, R. (2019) · Journal of Applied Gerontology · doi:10.1177/0733464817741369 · Cited by 384
Social network types and the health of older adults: Exploring reciprocal associations
Li, T., & Zhang, Y. (2015) · Social Science & Medicine · doi:10.1016/j.socscimed.2015.02.007 · Cited by 218
Nyqvist, F., Cattan, M., Andersson, L., Forsman, A. K., & Gustafson, Y. (2013) · Journal of Aging and Health · doi:10.1177/0898264313497508 · Cited by 130
Oral health-related quality of life and loneliness among older adults
Rouxel, P., Heilmann, A., Demakakos, P., Aida, J., Tsakos, G., & Watt, R. G. (2017) · European Journal of Ageing · doi:10.1007/s10433-016-0392-1 · Cited by 119
Social network type and health-related behaviors: Evidence from an American national survey
Shiovitz-Ezra, S., & Litwin, H. (2012) · Social Science & Medicine · doi:10.1016/j.socscimed.2012.04.031 · Cited by 115
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Metadata
- Authors
- Litwin, H., & Shiovitz-Ezra, S.
- Venue
- The Gerontologist
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-11-19
- Volume
- 51
- Issue
- 3
- Pages
- 379-388
- ISSN
- 0016-9013 (ISSN-L)
- 1758-5341
- OpenAlex
- W2122146305
- Cited by
- 414
- References
- 48
- FWCI
- 12.93
- Type
- journal article
- Language
- en
- Open access
- green
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