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The Complexity of Social Networks in Healthy Aging: Novel Metrics and Their Associations with Psychological Well-Being

2024/02/29 by Cédric Sueur, Giovanna Fancello, Alexandre Naud +2 · 1 voice
Psychology · Social Sciences · #Health disparities and outcomes #Mental Health Research Topics #Psychological Well-being and Life Satisfaction

paper · pdf · doi:10.24072/pcjournal.388

openalex publication_date 2024/02/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

Social networks play a crucial role in promoting healthy aging, yet the intricate mechanisms connecting social capital to health present a complex challenge. Additionally, the majority of social network analysis studies focusing on older adults typically concentrate on the participants' individual relationships, often overlooking the interconnections between these relationships. In this study, we went further than current ego-centered network studies by determining global social network metrics and the structure of relationships among older adult participants of the RECORD Cohort using the Veritas-Social questionnaire. The aim of this study is to identify key dimensions of social networks of older adults, and to evaluate how these dimensions relate to depressive symptoms, life satisfaction, and well-being. Using Principal Component Analyses (PCA), we identified four social network dimensions with psychological meanings. Dimension 1 (homophily) was positively linked with perceived accessibility to services in one’s residential neighborhood but this same dimension was negatively linked with the level of study (i.e., Bachelor, Master, PhD, etc.). Dimension 2 (social integration) and Dimension 3 (social support) were only linked to the number of people living (being in the same residence) with ego (i.e. the interviewed participant). Dimension 4 was linked with perceived accessibility to local services. Finally, and rather surprisingly, we found that none of the four network dimensions, even the degree, were linked to the three health status metrics.

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