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Are newly added and lost confidants in later life related to subsequent mental health?

Published online by Cambridge University Press:  17 July 2017

Ella Schwartz  and
Howard Litwin
Ella Schwartz*
Affiliation:
Israel Gerontological Data Center, Paul Baerwald School of Social Work and Social Welfare, The Hebrew University of Jerusalem, Jerusalem, Israel
Howard Litwin
Affiliation:
Israel Gerontological Data Center, Paul Baerwald School of Social Work and Social Welfare, The Hebrew University of Jerusalem, Jerusalem, Israel
*
Correspondence should be addressed to: Ella Schwartz, Israel Gerontological Data Center, Paul Baerwald School of Social Work, The Hebrew University of Jerusalem, Mount Scopus, 91905 Jerusalem, Israel. Phone: +(972) 2 588 0306; Fax: +(972) 2 588 0306. Email: ella.schwartz1@mail.huji.ac.il.
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Abstract

Background:

This study examined internal changes in the personal social networks of older people and the relationship between these changes and mental health over time. It focused on two key aspects: emotional closeness and contact frequency with lost and newly added confidants.

Methods:

The study was based on data from the fourth (2011) and sixth (2015) waves of the Survey of Health, Ageing and Retirement in Europe (SHARE). The study sample consisted of respondents aged 65 years and older who participated in both waves (n = 14,101). We performed OLS regressions in which the scores on two mental health indicators over time – depressive symptoms (Euro-D) and perceived quality of life (CASP-12) – were regressed on the relationship with lost and newly added confidants, controlling for baseline social networks, socio-demographic, and health variables.

Results:

The nature of the relationship with the lost and newly added confidants was associated with mental health, beyond the number of these confidants. Emotional closeness with newly added confidants was related to improved mental health in both indicators (B = −0.09, CI = −0.14 to −0.04 for depression; B =1.13, CI = 0.67–1.60 for quality of life). Losing frequently contacted confidants was associated with higher depressive symptoms (B = 0.09, CI = 0.02–0.15).

Conclusions:

The results show the positive mental health implications of adding emotionally close confidants to older adults’ social milieus, and the negative effects of losing frequently contacted confidants. Practitioners are advised to pay attention to the quality of such changing relationships, due to their mental health consequences.

Keywords

social networksSHAREquality of lifedepressionlongitudinal studies
Type
Research Article
Information
International Psychogeriatrics , Volume 29 , Issue 12 , December 2017 , pp. 2047 - 2057
Copyright
Copyright © International Psychogeriatric Association 2017 

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References

Adena, M., Myck, M. and Oczkowska, M. (2015). Material deprivation items in SHARE Wave 5 data : a contribution to a better understanding of differences in material conditions in later life. In Börsch-Supan, A., Kneip, T., Litwin, H., Myck, M. and Weber, G. (eds.), Ageing in Europe-Supporting Policies for an Inclusive Society (pp. 25–37). Berlin: De Gruyter.Google Scholar
Berg, A. I., Hoffman, L., Hassing, L. B., McClearn, G. E. and Johansson, B. (2009). What matters, and what matters most, for change in life satisfaction in the oldest-old? A study over 6 years among individuals 80+. Aging & Mental Health, 13, 191–201. doi:10.1080/13607860802342227 CrossRefGoogle ScholarPubMed
Berkman, L. F., Glass, T., Brissette, I. and Seeman, T. E. (2000). From social integration to health: Durkheim in the new millennium. Social Science & Medicine, 51, 843–857. doi: 10.1016/S0277-9536(00)00065-4 Google Scholar
Börsch-Supan, A. et al. (2013). Data resource profile: the Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology, 42, 992–1001. doi:10.1093/ije/dyt088 Google Scholar
Carstensen, L. L. (2006). The influence of a sense of time on human development. Science, 312, 1913–1915. doi:10.1126/science.1127488 Google Scholar
Cohen, S. and Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98, 310–357.CrossRefGoogle ScholarPubMed
Cornwell, B. and Laumann, E. O. (2015). The health benefits of network growth: new evidence from a national survey of older adults. Social Science & Medicine, 125, 94–106. doi:10.1016/j.socscimed.2013.09.011 Google Scholar
Glass, T. A., De Leon, C. F. M., Bassuk, S. S. and Berkman, L. F. (2006). Social engagement and depressive symptoms in late life: longitudinal findings. Journal of Aging and Health, 18, 604–628. doi:10.1177/0898264306291017 Google Scholar
Guerra, M., Ferri, C., Llibre, J., Prina, A. M. and Prince, M. (2015). Psychometric properties of EURO-D, a geriatric depression scale: a cross-cultural validation study. BMC Psychiatry, 15, 12. doi:10.1186/s12888-015-0390-4 Google Scholar
Houtjes, W., van Meijel, B., van de Ven, P. M., Deeg, D., van Tilburg, T. and Beekman, A. (2014). The impact of an unfavorable depression course on network size and loneliness in older people: a longitudinal study in the community. International Journal of Geriatric Psychiatry, 29, 1010–1017. doi:10.1002/gps.4091 CrossRefGoogle ScholarPubMed
Kawachi, I. and Berkman, L. F. (2001). Social ties and mental health. Journal of Urban Health : Bulletin of the New York Academy of Medicine, 78, 458–467. doi:10.1093/jurban/78.3.458 Google Scholar
Kennedy, N., Foy, K., Sherazi, R., McDonough, M. and McKeon, P. (2007). Long-term social functioning after depression treated by psychiatrists: a review. Bipolar Disorders, 9, 25–37. doi:10.1111/j.1399-5618.2007.00326.x Google Scholar
Keyes, C. L. M. (2007). Promoting and protecting mental health as flourishing: a complementary strategy for improving national mental health. American Psychologist, 62, 95–108.Google Scholar
Knesebeck, O. Von Dem, Wahrendorf, M., Hyde, M. and Siegrist, J. (2007). Socio-economic position and quality of life among older people in 10 European countries: results of the SHARE study. Ageing and Society, 27, 269–284. doi:10.1017/S0144686X06005484 Google Scholar
Krause, N. (1999). Assessing change in social support during late life. Research on Aging, 21, 539–569. doi:10.1177/0164027599214002 CrossRefGoogle Scholar
Litwin, H. (2011). The association between social network relationships and depressive symptoms among older Americans: what matters most?. International Psychogeriatrics, 23, 930–940. doi:10.1017/S1041610211000251 Google Scholar
Litwin, H., Stoeckel, K. J. and Schwartz, E. (2015). Social networks and mental health among older Europeans: are there age effects? European Journal of Ageing, 12, 299–309. doi:10.1007/s10433-015-0347-y Google Scholar
Litwin, H., Stoeckel, K., Roll, A., Shiovitz-Ezra, S. and Kotte, M. (2013). Social network measurement in SHARE Wave 4. In Malter, F. and Borsch-Supan, A. (eds.), SHARE Wave 4: Innovations & Methodology (pp. 18–37). Munich: MEA – Max-Planck-Institute for Social Law and Social Policy.Google Scholar
Lyubomirsky, S., King, L. and Diener, E. (2005). The benefits of frequent positive affect: does happiness lead to success? Psychological Bulletin, 131, 803–855. doi: 10.1037/0033-2909.131.6.803 Google Scholar
Palgi, Y., Shrira, A. and Zaslavsky, O. (2015). Quality of life attenuates age-related decline in functional status of older adults. Quality of Life Research, 24, 1835–1843. doi:10.1007/s11136-015-0918-6 Google Scholar
Pinquart, M. and Sörensen, S. (2000). Influences of socioeconomic status, social network, and competence on subjective well-being in later life: a meta-analysis. Psychology and Aging, 15, 187–224.Google Scholar
Prince, M. J. et al. (1999). Development of the EURO-D scale – a European union initiative to compare symptoms of depression in 14 European centres. The British Journal of Psychiatry, 174, 330–338. doi:10.1192/bjp.174.4.330 Google Scholar
R Core Team. (2016). R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing.Google Scholar
Santini, Z. I., Koyanagi, A., Tyrovolas, S., Mason, C. and Haro, J. M. (2015). The association between social relationships and depression: a systematic review. Journal of Affective Disorders, 175, 53–65. doi:10.1016/j.jad.2014.12.049 Google Scholar
Schwarzbach, M., Luppa, M., Forstmeier, S., König, H. H. and Riedel-Heller, S. G. (2014). Social relations and depression in late life – a systematic review. International Journal of Geriatric Psychiatry, 29, 1–21. doi:10.1002/gps.3971 Google Scholar
Shaw, B. A., Krause, N., Liang, J. and Bennett, J. (2007). Tracking changes in social relations throughout late life. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 62, S90–S99. doi:10.1093/geronb/62.2.S90 CrossRefGoogle ScholarPubMed
StataCorp. (2013). Stata Statistical Software: Release 13. College Station, TX: StataCorp LP.Google Scholar
Thoits, P. A. (2011). Mechanisms linking social ties and support to physical and mental health. Journal of Health and Social Behavior, 52, 145–161. doi:10.1177/0022146510395592 Google Scholar
Windsor, T. D., Rioseco, P., Fiori, K. L., Curtis, R. G. and Booth, H. (2016). Structural and functional social network attributes moderate the association of self-rated health with mental health in midlife and older adults. International Psychogeriatrics, 28, 49–61. doi:10.1017/S1041610215001143 Google Scholar
Wrzus, C., Hänel, M., Wagner, J. and Neyer, F. J. (2013). Social network changes and life events across the life span: a meta-analysis. Psychological Bulletin, 139, 53–80.Google Scholar
Zettel, L. A. and Rook, K. S. (2004). Substitution and compensation in the social networks of older widowed women. Psychology and Aging, 19, 433–443.CrossRefGoogle ScholarPubMed