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The Effect of Age and Resilience on the Dose-response Function Between the Number of Adversity Factors and Subjective Well-being

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Journal Front Psychol
Date 2024 Feb 26
PMID 38406308
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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 = 0.123,  < 0.001). Adversity factors and age explained 14.6% of PoM variance (df = 2,  = 37.638,  < 0.001). PoM decreased with more adversity and increased with higher age.

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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References
1.
Bolsinger J, Seifritz E, Kleim B, Manoliu A . Neuroimaging Correlates of Resilience to Traumatic Events-A Comprehensive Review. Front Psychiatry. 2019; 9:693. PMC: 6315158. DOI: 10.3389/fpsyt.2018.00693. View

2.
Dragioti E, Li H, Tsitsas G, Lee K, Choi J, Kim J . A large-scale meta-analytic atlas of mental health problems prevalence during the COVID-19 early pandemic. J Med Virol. 2021; 94(5):1935-1949. PMC: 9015528. DOI: 10.1002/jmv.27549. View

3.
Luo J, Eldredge C, Cho C, Cisler R . Population Analysis of Adverse Events in Different Age Groups Using Big Clinical Trials Data. JMIR Med Inform. 2016; 4(4):e30. PMC: 5088342. DOI: 10.2196/medinform.6437. View

4.
Petro N, Basyouni R, Neta M . Positivity effect in aging: evidence for the primacy of positive responses to emotional ambiguity. Neurobiol Aging. 2021; 106:232-240. PMC: 9255668. DOI: 10.1016/j.neurobiolaging.2021.06.015. View

5.
Kachadourian L, Harpaz-Rotem I, Tsai J, Southwick S, Pietrzak R . Mindfulness as a mediator between trauma exposure and mental health outcomes: Results from the National Health and Resilience in Veterans Study. Psychol Trauma. 2021; 13(2):223-230. PMC: 8500672. DOI: 10.1037/tra0000995. View