Deciphering key features of social resilience versus social vulnerability in later life: A biopsychosocial model of social asymmetry
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View abstract on PubMed
Summary
This summary is machine-generated.Socially resilient older adults, more common than vulnerable ones, are characterized by lower depression, anxiety, stress, and better sleep. Emotional regulation and sleep hygiene can improve social adaptability in seniors.
Area Of Science
- Gerontology
- Social Psychology
- Computational Social Science
Background
- Older adults face shrinking social networks, leading to individual differences in social adaptability.
- Social adaptability manifests as either social resilience or social vulnerability.
- Understanding the factors differentiating these groups is crucial for promoting well-being in later life.
Purpose Of The Study
- To identify key features distinguishing socially resilient from socially vulnerable older adults.
- To examine the predictors of social asymmetry in aging populations.
Main Methods
- Analysis of three datasets (N=5414) from China and the United States.
- Social asymmetry measured by residuals of social network regressed on loneliness.
- Feature selection using Boruta, model building with Gradient Boosting Machine (GBM), and interpretation with Local Interpretable Model-agnostic Explanations (LIME).
Main Results
- Socially resilient older adults were more prevalent across diverse cultural datasets.
- Five key features predicted social asymmetry: depression, anxiety, stress, sleep disturbance, and personality (AUC 0.76-0.86).
- Lower levels of negative emotions and sleep disturbance, along with typical personality traits, were associated with social resilience.
Conclusions
- The higher prevalence of social resilience is a positive indicator for aging populations.
- Key predictive features like negative emotions and sleep are modifiable.
- Interventions focusing on emotional regulation and sleep hygiene can enhance social adaptability in older adults.
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