Ella Cohn-Schwartz

Associate Professor, Gerontology

Network type, transition patterns and well-being among older Europeans

Howard Litwin, Michal Levinsky, Ella Schwartz

Using SHARE data, this study was based on an earlier analysis that derived social network types among adults aged 65 and over in Europe. The current effort investigated the transitions that occurred across these network types after 4 years (N = 13,767). Four general network transition patterns were identified according to network type (close-family networks and other networks) and whether a network transition occurred. The associations between network type, network transitions and well-being (depression and life satisfaction) were examined. We regressed depressive symptoms and a life satisfaction measure on the network transition patterns, controlling for socio-demographic background, health and country. The results revealed that a majority of older Europeans experienced a range of network transition, while close-family-based networks tended to prevail over time. Moreover, respondents who remained in or transitioned to close-family networks had fewer depressive symptoms and better life satisfaction than those in other network types. The study, thus, underscores the varied effects of network types and network changes on emotional well-being in late life. It also demonstrates that beneficial changes can be made in one’s social network in old age, especially with regard to greater family closeness.

Publication language English
Pages 241-250
Volume 17
Issue number 2
Publication status Published - 01.06.2020

Keywords

Family relations
Longitudinal changes
SHARE
Social networks
Transition patterns
Well-being

ASJC Scopus subject areas

Health(social science)
Geriatrics and Gerontology
Access to Document
10.1007/s10433-019-00545-7
Other files and links
Link to publication in Scopus