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

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' individ...

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Main Authors: Sueur, Cédric, Fancello, Giovanna, Naud, Alexandre, Kestens, Yan, Chaix, Basile
Format: Article
Language:English
Published: Peer Community In 2024-02-01
Series:Peer Community Journal
Online Access:https://peercommunityjournal.org/articles/10.24072/pcjournal.388/
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author Sueur, Cédric
Fancello, Giovanna
Naud, Alexandre
Kestens, Yan
Chaix, Basile
author_facet Sueur, Cédric
Fancello, Giovanna
Naud, Alexandre
Kestens, Yan
Chaix, Basile
author_sort Sueur, Cédric
collection DOAJ
description 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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spelling doaj-art-94be71320998434791542e77ba0aa0ee2025-02-07T10:17:18ZengPeer Community InPeer Community Journal2804-38712024-02-01410.24072/pcjournal.38810.24072/pcjournal.388The Complexity of Social Networks in Healthy Aging: Novel Metrics and Their Associations with Psychological Well-Being Sueur, Cédric0https://orcid.org/0000-0001-8206-2739Fancello, Giovanna1Naud, Alexandre2Kestens, Yan3Chaix, Basile4UMR 7178, CNRS, Unistra, Institut Pluridisciplinaire Hubert Curien, Strasbourg, FranceSorbonne Université, INSERM, Institut Pierre Louis d’Épidémiologie et de Santé Publique, Nemesis research team, F75012, Paris, FranceUMR 7178, CNRS, Unistra, Institut Pluridisciplinaire Hubert Curien, Strasbourg, FranceUniversité de Montréal/Centre de Recherche du CHUM, Pavillon S, 850 Rue St-Denis, Montréal, QC, H2X 0A9, CanadaSorbonne Université, INSERM, Institut Pierre Louis d’Épidémiologie et de Santé Publique, Nemesis research team, F75012, Paris, FranceSocial 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.https://peercommunityjournal.org/articles/10.24072/pcjournal.388/
spellingShingle Sueur, Cédric
Fancello, Giovanna
Naud, Alexandre
Kestens, Yan
Chaix, Basile
The Complexity of Social Networks in Healthy Aging: Novel Metrics and Their Associations with Psychological Well-Being
Peer Community Journal
title The Complexity of Social Networks in Healthy Aging: Novel Metrics and Their Associations with Psychological Well-Being
title_full The Complexity of Social Networks in Healthy Aging: Novel Metrics and Their Associations with Psychological Well-Being
title_fullStr The Complexity of Social Networks in Healthy Aging: Novel Metrics and Their Associations with Psychological Well-Being
title_full_unstemmed The Complexity of Social Networks in Healthy Aging: Novel Metrics and Their Associations with Psychological Well-Being
title_short The Complexity of Social Networks in Healthy Aging: Novel Metrics and Their Associations with Psychological Well-Being
title_sort complexity of social networks in healthy aging novel metrics and their associations with psychological well being
url https://peercommunityjournal.org/articles/10.24072/pcjournal.388/
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