Health requires structured, bounded variability for dynamic coordination of regulatory subsystems, whereas disease arises when adaptive variability diminishes and system dynamics become constrained.
This paper examines the concept of physiological stability from a dynamical systems perspective. Conventional medical thinking often equates stability with constancy; however, complex biological systems typically maintain function through structured variability rather than static equilibrium. Drawing on insights from complexity science, heart rate variability research, and early-warning signals of critical transitions, the article argues that health can be understood as a state of bounded variability in which regulatory subsystems remain dynamically coordinated. Within this framework, disease may arise when adaptive variability diminishes and system dynamics become increasingly constrained, potentially leading to transitions toward pathological states. The paper discusses implications for clinical monitoring, interpretation of biomarker data, and timing of therapeutic intervention. This work forms part of the RA/Chaos-Theory Series (Papers 1–14), documenting the stepwise development of a dynamical systems framework for chronic inflammatory disease. This manuscript is released as a preprint and has not undergone peer review.
Anita Domargård (Fri,) conducted a review in chronic inflammatory disease. Health requires structured, bounded variability for dynamic coordination of regulatory subsystems, whereas disease arises when adaptive variability diminishes and system dynamics become constrained.
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