Integrative psycho-biophysiological markers in predicting psychological resilience

Area of Science:

• Psychoneuroendocrinology
• Stress Physiology
• Psychological Resilience Research

Background:

• The hypothalamic-pituitary-adrenal (HPA) axis and parasympathetic nervous system are crucial for stress response and emotion regulation.
• Their precise relationship with psychological resilience, a key factor in coping, requires further elucidation.
• Integrating biophysiological data with psychometric assessments offers a more comprehensive view of resilience.

Purpose of the Study:

• To investigate the roles of the HPA axis and parasympathetic nervous system during acute stress.
• To determine the predictive power of resilience by combining psychological and biophysiological measures.
• To explore how these systems interact in predicting an individual's resilience.

Main Methods:

• One hundred and seven university students underwent the Trier Social Stress Task (TSST).
• Psychological resilience was assessed using psychometric measures at rest.
• Vagal heart rate variability (HRV), salivary cortisol, and dehydroepiandrosterone (DHEA) were measured at baseline, during, and post-TSST.
• Multivariate linear regression and machine learning (support vector regression) were employed for analysis.

Main Results:

• Positive/negative affect, anticipatory HRV, and the cortisol/DHEA ratio post-stress predicted resilience.
• Biophysiological features improved resilience prediction by 1.2-fold compared to psychological factors alone.
• Machine learning confirmed the significant predictive role of the cortisol/DHEA ratio, particularly in 'cortisol responders'.

Conclusions:

• High vagal activity during stress anticipation is linked to resilience.
• Restoring the cortisol/DHEA balance post-stress is a key resilience predictor.
• Combining psychological and biophysiological markers is essential for a comprehensive understanding and prediction of resilience.