The Interplay of Personality Traits and Social Network Characteristics in the Subjective Well-Being of Older Adults

Howard Litwin, Michal Levinsky*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Using data from the Survey of Health, Ageing and Retirement in Europe, we regressed three well-being measures (CASP, life satisfaction and Euro-D depressive symptoms) on indicators of personality and social network. Personality was indicated by the Big-Five personality traits, while social network was measured in terms of size, contact frequency and emotional closeness. The analysis also considered personality—network interactions, controlling for confounders. The sample was comprised of 35,145 adults, aged 50 and older, from 24 European countries and Israel. The results revealed that the personality traits explained more variance in the well-being outcomes than the social network characteristics did. However, the interactions showed that the social network characteristics, particularly size and mean emotional closeness, offset the effects of dysfunctional personality attributes on subjective well-being in late life. Hence, social network characteristics were shown to modify the potentially ill effects of personality on key well-being indicators.

Original languageEnglish
Pages (from-to)538-549
Number of pages12
JournalResearch on Aging
Volume45
Issue number7-8
DOIs
StatePublished - 1 Aug 2023

Bibliographical note

Publisher Copyright:
© The Author(s) 2022.

Keywords

  • Big-Five
  • CASP
  • SHARE
  • life satisfaction
  • network size

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