Deciphering Key Features of Social Resilience Versus Social Vulnerability in Later Life

A Biopsychosocial Model of Social Asymmetry

Datos Bibliográficos

ID6457748
AutoresHai-Xin Jiang (Southwest University), Jing Yu (0000-0002-0142-6391, Southwest University)
EditoresLaura Germine (0000-0001-8690-8412, (Psychological Sciences Section)), Laura Thi Germine ((Psychological Sciences Section))
Año2025
Volumen80
Número7
Fecha de publicación2025-02-27
Open AccessSí
TipoARTICLE
RevistaThe Journals of Gerontology Series B (JOURNAL)
Identificadores de la revistaISSN: 1079-5014 • E-ISSN: 1758-5368
EditorialOxford University Press (OUP) (PUBLISHER)
DOI10.1093/geronb/gbaf046
PMID40036553
OpenAlexW4408141894
IdiomaEN
Citas recibidas1
Referencias citadas52

Objectives Confronted with shrinking social networks, older adults exhibit individual differences in social adaptability, reflected as socially resilient versus socially vulnerable. The purpose of this study was to examine key features that reflect this social asymmetry in later life. Methods Three data sets were analyzed, with the training set (N = 424) included older adults from China, whereas 2 test sets (N1 = 2877, N2 = 2343) were from the United States. Social asymmetry was assessed using residuals from a regression of social network on loneliness, with individuals with positive residuals categorized as socially vulnerable and those with negative residuals as socially resilient. Feature selection was performed with the Boruta algorithm, model building with the gradient boosting machine (GBM) algorithm, and model interpretation with the local interpretable model-agnostic explanations (LIME) algorithm. Results Socially resilient older adults were more prevalent than socially vulnerable ones across datasets from various cultural backgrounds. Five key features—depression, anxiety, stress, sleep disturbance, and personality—were found to predict social asymmetry, with area under the curve (AUC) values ranging from 0.76 to 0.86 across data sets. Older adults with lower levels of depression, anxiety, stress, and sleep disturbance, and typical A or B (vs intermediate) personality, were more likely to be socially resilient. Discussion The prevalence of socially resilient older adults indicates a relatively positive trend, and most of the key features are plastic and amenable, such as negative emotions and sleep behavior. Developing emotional regulation strategies and providing sleep hygiene education could improve the social adaptability of older adults

Biopsychosocial model · Computer security · Key (lock · Psychological resilience · Psychotherapist · Resilience (materials science · Social vulnerability · Stressor · Vulnerability (computing · Computer Science · Psychology · Resilience and Mental Health · Clinical Psychology · Social Psychology

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