ArticleFrontiers in psychology2024
The effect of age and resilience on the dose-response function between the number of adversity factors and subjective well-being.
Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Association of psychosocial stress with altered functional connectivity of large-scale brain networks in aging adults.Cognitive, affective & behavioral neuroscience · 2026Article
- Cognitive Reserve and Psychological Well-Being in Aging Population of Community-Dwellers in Spain.Brain and behavior · 2026Article
- Psychometric evidence of the WHO-5 well-being index in a sample of participants from hospitals and older adults care centers in Peru.Frontiers in public health · 2025Article
- Resilience and mental health in university students post-COVID-19 pandemic: insights from the Republic of Cyprus.Frontiers in public health · 2025Article
- Perceived Stress, Resilience and Emotional Intelligence in Romanian Healthcare Professionals.Healthcare (Basel, Switzerland) · 2024Article
- Resilient Coping Levels and Psychometric Properties of the Brief Resilient Coping Scale Among Nursing Professionals in Saudi Arabia.Healthcare (Basel, Switzerland) · 2024Article
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Authors and funding
5 authors.
Funding
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Abstract
Background: Encountering challenges and stress heightens the vulnerability to mental disorders and diminishes well-being. This study explores the impact of psychological resilience in the context of adverse events, considering age-related variations in its influence on well-being. Methods: A total of 442 participants (male vs. female =48% vs. 52%) with a mean age of 41.79 ± 16.99 years were collected and completed the following questionnaires Brief Betrayal Trauma Survey (BBTS), Brief Resilience Scale (BRS), Peace of Mind (PoM), The World Health Organization Quality of Life-BREF (WHOQOL-BREF), and Social Support Questionnaire (SSQ). They all underwent structural and resting-state functional magnetic resonance imaging (MRI) scans. Results: Participants were categorized based on adversity levels: 34.39% faced one, 26.24% none, and 19.91, 9.50, and 8.14% encountered two, three, and four adversities, respectively. This categorization helps assess the impact on participants' experiences. As adversity factors increased, PoM decreased. Controlling for age improved PoM model fit (Δ Conclusion: The study found most participants faced at least one adversity. Adversity negatively affected PoM scores, while resilience acted as a protective factor. Resilience plays a crucial role in buffering the impact of adversities on well-being. Among those with high adversity, higher resilience correlated with stronger DMN-right frontal pole connectivity. Brain volume showed no significant differences, but the quality of life and social support varied between subgroups, with no differences in personal demographic and biophysical features.
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