Stress Intelligence: A Novel Framework for Understanding Adaptive Stress Regulation and Resilience Trajectories

Individuals who are exposed to comparable levels of stress routinely diverge in health, performance, and psychological outcomes, yet no existing theory integrates the regulatory processes that explain this divergence. We propose stress intelligence (SI) as a theoretical framework describing a signal-informed regulatory capacity that operates through three integrated processes: (1) detecting stress signals across physiological, psychological, and behavioural domains, (2) interpreting their meaning in terms of demands and resources, and (3) deploying adaptive responses matched to context and goals. We argue that these capacities produce consistent adaptive outcomes only when they operate as an integrated process, such that detection informs interpretation and interpretation guides response. We build on the concept of skin-deep resilience to describe a pattern in which individuals maintain outward functioning while accumulating hidden physiological costs, and argue that SI differentiates sustainable resilience from skin-deep resilience in ways that existing frameworks do not. We derive testable predictions, including the proposition that an individual’s stress quotient (SQ; i.e., measurable individual-difference operationalisation of SI) can prospectively differentiate sustainable from skin-deep resilience among individuals maintaining equivalent levels of outward functioning at the time of assessment. We outline a research agenda spanning measurement development, longitudinal panel data, and clinical trial designs of SI interventions.