# A psychobiological resilience factor for mental health across the lifespan

**Authors:** Tianye Jia, Zhengyu Yang, Shitong Xiang, Rongquan Zhai, Chen Zheng, Yechen Hu, Tobias Banaschewski, Arun Bokde, Sylvane Desrivières, Herta Flor, Hugh Garavan, Penny Gowland, Antoine Grigis, Andreas Heinz, Jean-Luc Martinot, Marie-Laure Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Michael Smolka, Sarah Hohmann, Nathalie Holz, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Jianfeng Feng, Barbara Sahakian, Chao Xie

PMC · DOI: 10.21203/rs.3.rs-7861905/v1 · Research Square · 2025-10-29

## TL;DR

This study identifies a psychobiological resilience factor that helps maintain mental health across different life stages, including adolescence and adulthood.

## Contribution

The study introduces a psychosocial model that predicts resilience using personality traits and life satisfaction.

## Key findings

- Personality traits and life satisfaction explain the most variance in resilience.
- The model accurately identifies trauma-exposed adolescents with stable mental health outcomes into adulthood.
- Resilience mechanisms in adulthood can predict adaptive functioning after early adversity.

## Abstract

Psychological resilience plays a crucial role in maintaining individual mental health in the face of stressful events, adversity, and even trauma. However, resilience, may be a dynamic and evolving process, which presents challenges for precise definition and measurement, particularly during the rapid developmental period of adolescence. In this study, we demonstrated that the self-reported ability to bounce back from adversity of middle-aged to older adults (UKB) can reflect their mental fortitude over a 16-year period. We then constructed a psychosocial model based on UKB to predict resilience from multi-level factors, such as personality traits, family-support, and economics. The model revealed that personality traits and life satisfaction accounted for the largest proportion of resilience variance. When applied prospectively to a longitudinal adolescent cohort (IMAGEN; n=692), this model accurately identified trauma-exposed adolescents who maintained mental health outcomes comparable to non-traumatised peers up to age 23. These findings demonstrate that psychosocial mechanisms stabilised in adulthood can predict adaptive functioning after early adversity, providing a lifespan framework for the early identification and prevention of mental health vulnerability.

## Full-text entities

- **Diseases:** trauma (MESH:D014947)

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12636721/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/PMC12636721/full.md

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Source: https://tomesphere.com/paper/PMC12636721