Journal of Modern Classical Physics & Quantum Neuroscience
Open Access • Peer Reviewed • Bi-Monthly Publication
Psychological Resilience as a Biomarker: A Meta-Analytically Validated Mathematical Model for Clinical Applications
Abstract
This study establishes an advanced mathematical framework for understanding psychological resilience as a quantifiable biomarker integrated into clinical practice. Building upon previous conceptual models, we formalize the relationship between resilience capacity (y) and stress intensity (x) through the equation y = kx, where k represents the person-specific resilience constant. This model was validated through a meta-analysis of 12 empirical studies (N = 3,215). Key findings confirm the components of the resilience constant k as: social support (39.8%), cognitive flexibility (34.9%), and physical health (25.1%). The model demonstrates strong explanatory power (R2 = 0.73, p < 0.001). This research provides a scientific basis for evaluating behavioral adaptation and introduces a novel Resilience Index (RI) for targeted clinical interventions.
Copyright & License
© 2026 The Author(s). Published by WM Journals.
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