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Part of the book series: International Perspectives on Aging ((Int. Perspect. Aging,volume 11))

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Abstract

The concept of social capital (SOC) encompasses a network that comprises different types of social ties, the resources that flow in the network and the potential or practical accessibility of these resources for the focal person. The impact of different types of SOC and their changing patterns on changes in older adults’ mental health is at the core of this study. Analyses were performed on data collected at two study time points, as part of the Cross-Sectional and Longitudinal Aging Study (CALAS) in Israel. Cluster analysis and linear regression models were estimated.

Findings show a hierarchy of five types of SOC. Two of these, the “Diverse, Mutual” and “Local, Supported” types, lowered significantly the chance of decreased mental health during the aging process after controlling for sociodemographic and functioning covariates, in comparison with the “Limited” type. Continuity in strong SOC and upgrade to a better type of SOC also reduced the likelihood of decline in mental health in comparison to continuity in weak SOC. This relationship, however, does not hold after controlling for sociodemographic factors and functioning. The productivity of older adults’ social capital is high when it moderates the impairment of mental health. That means that social ties, their mutually exchanged resources and their availability to older adults throughout late life constitute an important element in the evaluation of older adults’ subjective wellbeing.

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Notes

  1. 1.

    This paper was presented at the International Association of Gerontology and Geriatrics (IAGG) conference, Coex, Seoul, Korea—20th World Congress of Gerontology and Geriatrics, June 23–27, 2013.

  2. 2.

    We used Cluster Analysis (SPSS 17.0) to cluster nine variables: Size of family network, frequency of contacts between interviewees and their—offspring/grandchildren/friends, frequency of mutual assistance between interviewees and their neighbors, index for the types of help that the interviewee gives to his family, existence of a confidant, and extent of care accessibility.

References

  • Alexopoulos, G. S. (2005). Depression in the elderly. Lancet, 365, 1961–1970.

    Article  Google Scholar 

  • Allison, P. D. (2001). Missing data. Sage university papers series on quantitative applications in the social sciences. Thousand Oaks: Sage.

    Google Scholar 

  • Almedom, A. M. (2005). Social capital and mental health: An interdisciplinary review of primary evidence. Social Science & Medicine, 61, 943–64.

    Article  Google Scholar 

  • Birditt, K. S., & Antonucci, T. C. (2007). Relationship quality profiles and well-being among married adults. Journal of Family Psychology, 21, 595–604. doi:doi.org/10.1037/0893-3200.21.4.595PMid:18179331.

    Article  Google Scholar 

  • Blazer, D., Burchett, B., Service, C., & George, L. K. (1991). The association of age and ­depression among the elderly: An epidemiologic exploration. Journal of Gerontology: Medical Sciences, 46, 210–215.

    Article  Google Scholar 

  • Blumstein, T., Benyamini, Y., Fuchs, Z., Shapira, Z., Novikov, I., Walter-Ginzburg, A., et al. (2004). The effects of a communal lifestyle on depressive symptoms in late life. Journal of Aging and Health, 16, 151–174.

    Article  Google Scholar 

  • Bourdieu, P. (1985). The forms of capital. In J. G. Richardson (Ed.), Handbook of theory and ­research for the sociology of education (pp. 241–258). New York: Greenwood.

    Google Scholar 

  • Buys, L., Roberto, K. A., Miller E., & Blieszner, R. (2008). Prevalence and predictors of ­depressive symptoms among rural older Australians and Americans. Australian Journal of Rural Health, 16, 33–39.

    Article  Google Scholar 

  • Cagney, K. A., & Wen, M. (2008). Social capital and aging-related outcomes. In I. Kawachi, S. V. Subramanian, & D. Kim (Eds.), Social capital and health (pp. 239–258). New York: Springer.

    Google Scholar 

  • Coleman, J. S. (1990). Foundations of social theory. (pp. 300–321). Cambridge: Belknap.

    Google Scholar 

  • Cole, M. G., & Dendukuri, N. (2003). Risk factors for depression among elderly community ­subjects: A systematic review and meta-analysis. American Journal of Psychiatry, 160, 1147–1156.

    Article  Google Scholar 

  • Duberstein, P. R., Palsson, S. P., Waern M., & Skoog, I. (2008). Personality and risk for depression in a birth cohort of 70-year-olds followed for 15 years. Psychological Medicine, 38, 663–671

    Article  Google Scholar 

  • Fiori, K. L., Antonucci T. C., & Cortina K. S. (2006). Social network typologies and mental health among older adults. The Journals of Gerontology: Psychological Sciences, 61B, 25–32.

    Article  Google Scholar 

  • Fiori, K. L., Smith, J., & Antonucci, T. C. (2007). Social network types among older adults: A multidimensional approach. Journals of Gerontology Series B-Psychological Sciences and Social Sciences, 62, 322–330.

    Article  Google Scholar 

  • Fiori, K. L., Antonucci, T. C., & Akiyama, H. (2008). Profiles of social relations among older adults: A cross-cultural approach. Ageing & Society, 28, 203–231.

    Google Scholar 

  • Fiori, K. L., & Jager, J. (2011). The impact of social support networks on mental and physical health in the transition to older adulthood: A longitudinal, pattern-centered approach. International Journal of Behavioral Development, 36, 117–129.

    Article  Google Scholar 

  • Foley, M., & Edwards, B. (1999). Is it time to disinvest in social capital? Journal of Public Policy, 19, 141–173.

    Article  Google Scholar 

  • George, L. K. (1999). Life course perspective on mental health. In C. Aneshensel & J. Phelan (Eds.), Handbook of the sociology of mental illness (pp. 565–583). San Diego: Academic.

    Google Scholar 

  • Gerstorf, D., Ram, N., Roecke, N., Lindenberger, U., & Smith, J. (2008). Decline in life ­satisfaction in old age: Longitudinal evidence for links to distance-to-death. Psychology and Aging, 23, 154–168.

    Article  Google Scholar 

  • Gonzalez Bailon, S. (2006). The role of dynamic networks in social capital: A simulation ­experiment. Revista de sociologia, 80, 171–194.

    Google Scholar 

  • Gray, A. (2009). The social capital of older people. Ageing & Society, 29, 5–31. doi:doi.org/10.1017/S0144686X08007617.

    Article  Google Scholar 

  • Jeon, H. S., & Dunkle, R. E. (2009). Stress and depression among the oldest-old: A longitudinal analysis. Research on Aging, 31, 661–687.

    Article  Google Scholar 

  • Kahn, R. L., & Antonucci, T. C. (1980). Convoys over the life course: attachment, roles, and social support. In B. P. Baltes & O. G. Brim (Eds.), Life-span development and behavior (pp. ­254–283). New-York: Academic.

    Google Scholar 

  • Keating, N., Otfinowski, P., Wenger, C., Fast, J., & Derksen, L. (2003). Understanding the caring capacity of informal networks of frail seniors: A case for care networks. Ageing and Society, 23, 115–127.

    Article  Google Scholar 

  • Krishnan, K. R. R. (2002). Biological risk factors in late life depression. Biological Psychiatry, 52, 185–192.

    Article  Google Scholar 

  • Lin, N. (2000). Inequality in social capital. Contemporary Sociology-a Journal of Reviews, 29, 785–795.

    Article  Google Scholar 

  • Lin, N. (2001). Social capital: A theory of social structure and action. Cambridge: Cambridge University Press. doi:doi.org/10.1017/CBO9780511815447.

    Book  Google Scholar 

  • Litwin, H. (2001). Social network type and morale in old age. The Gerontologist, 41, 516–524. doi:doi.org/10.1093/geront/41.4.516PMid:11490050.

    Article  Google Scholar 

  • Litwin, H. (2006). Social networks and self-rated health. Journal of Aging and Health, 18, ­335–358.

    Article  Google Scholar 

  • Litwin, H. (2009). Social networks and well-being in socio-geographical context: A comparison of older people in Mediterranean and non-Mediterranean European countries. Gerontologist, 49, 488–488.

    Article  Google Scholar 

  • Litwin, H. (2011). The association between social network relationships and depressive symptoms among older Americans: What matters most? International Psychogeriatrics, 23, 930–940.

    Article  Google Scholar 

  • Ma, X., Xiang, Y. T., Li, S. R., Xiang, Y. Q., Guo, H. L., Hou, Y. Z., et al.(2008). Prevalence and ­sociodemographic correlates of depression in an elderly population living with family ­members in Beijing, China. Psychological Medicine, 38, 1723–1730.

    Article  Google Scholar 

  • Mirowsky, J., & Ross, C.E. (1992). Age and depression. Journal of Health and Social Behavior, 33, 187–205.

    Article  Google Scholar 

  • MI FAQ page. (2011). The multiple imputation FAQ page. http://www.stat.psu.edu/~jls/mifaq.html#ref.. Accessed 13 Dec 2010.

  • Nagi, S. Z. (1976). An epidemiology of disability among adults in the United States. Health and Society, 54, 439–467.

    Google Scholar 

  • Ngurah Darmawan, I. G. (2002). Norm software review: Handling missing values with multiple imputation methods. Evaluation Journal of Australasia, 2, 51–57.

    Google Scholar 

  • Nyqvist, F., Forsman, A. K., Giuntoli, G., & Cattan, M. (2013). Social capital as a resource for mental well-being in older people: A systematic review. Aging & Mental Health, 17(4), ­394–410. doi:10.1080/13607863.2012.742490.

    Article  Google Scholar 

  • Palgi, Y., Shrira, A., Ben-Ezra, M., Spalter, T., Shmotkin, D., & Kave. G. (2010). Delineating terminal change in subjective well-being and subjective health. Journals of Gerontology Series B-Psychological Sciences and Social Sciences, 65, 61–64.

    Article  Google Scholar 

  • Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. New York: Simon and Schuster.

    Google Scholar 

  • Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.

    Article  Google Scholar 

  • Schillerstrom, J. E., Royall, D. R., & Palmer, R. F. (2008). Depression, disability and intermediate pathways: A review of longitudinal studies in elders. Journal of Geriatric Psychiatry and Neurology, 21, 183–197.

    Article  Google Scholar 

  • Shmotkin, D. (2008). Mental health and trauma among Israeli older adults (Hebrew). Bitahon Sociali, 76, 197–224.

    Google Scholar 

  • Song, L., Son, J., & Lin, N. (2010). Social capital and health. In W. C. Cockerham (Ed.), The new companion to medical sociology (pp. 184–210). Oxford: Wiley-Blackwell.

    Article  Google Scholar 

  • SPSS. 17.0. Quick Cluster. http://www-01.ibm.com/software/analytics/spss/. Accessed 2 June 2009.

  • Turvey, C. L., Schultz, S. K., Beglinger, L., & Klein, D. M. (2009). A longitudinal community-based study of chronic illness, cognitive and physical function, and depression. American ­Journal of Geriatric Psychiatry, 17, 632–641.

    Article  Google Scholar 

  • Van der Gaag, M., & Snijders, T. (2002). An approach to the measurement of individual social capital. In H. Flap & B. Volker (Eds.), Creation and returns of social capital. Amsterdam: Routledge Advances in Sociology.

    Google Scholar 

  • Vink, D., Aartsen, M. J., & Schoevers, R. A. (2008). Risk factors for anxiety and depression in the elderly: A review. Journal of Affective Disorders, 106, 29–44.

    Article  Google Scholar 

  • Wenger, G. C. (1990). Change and adaptation in informal support networks of elderly people in Wales 1979–1987. Journal of Aging Studies, 4, 375–389. doi:doi.org/10.1016/0890-4065(90)90006-T.

    Article  Google Scholar 

  • Wenger, G. C. (1997). Review of findings on support networks of older Europeans. Journal of Cross-Cultural Gerontology, 12, 1–21.

    Article  Google Scholar 

  • Weyerer, S., Eifflaender-Gorfer, S., Kohler, L., Jessen, F., Maier, W., Fuchs, A., et al. (2008). Prevalence and risk factors for depression in non-demented primary care attenders aged 75 years and older. Journal of Affective Disorders, 111, 153–163.

    Article  Google Scholar 

  • Wu, H. C., Schimmele, M., & Chappell, N. L. (2012). Aging and late-life depression. Journal of Aging and Health, 24(1), 3–28.

    Article  Google Scholar 

  • Yang, Y. (2007). Is old age depressing? Growth trajectories and cohort variations in late-life- ­depression. Journal of Health and Social Behavior, 48, 16–32.

    Article  Google Scholar 

Download references

Acknowledgements

The first two phases of the CrossSectional and Longitudinal Ageing Study (CALAS) were supported by grants from the US National Institute on Aging (R01-5885-03 and R01-5885-06); and conducted by the Department of Clinical Epidemiology at the Chaim Sheba Medical Center.

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Correspondence to Tal Spalter PhD .

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Spalter, T., Lowenstein, A., Lewin-Epstein, N. (2015). Dynamic Social Capital and Mental Health in Late Life. In: Nyqvist, F., Forsman, A. (eds) Social Capital as a Health Resource in Later Life: The Relevance of Context. International Perspectives on Aging, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9615-6_3

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