Association of Prakriti with Stress-Induced Physiological Changes: An Ayurvedic Perspective and Contemporary Understanding

Abstract

Prakriti, the Ayurvedic concept of individual constitution determined by the relative predominance of Vata, Pitta, and Kapha doshas, provides a comprehensive framework for understanding inter-individual variability in health, disease susceptibility, and physiological responses to environmental and psychological challenges. Classical Ayurvedic texts systematically link Doshic imbalance (Dosha prakopa) and mental causative factors (Manasika nidana) to a wide spectrum of stress-related disorders, while contemporary research increasingly demonstrates Prakriti-specific patterns in autonomic reactivity, HRV responses to orthostatic and cognitive stress, perceived stress levels, sleep architecture, and predisposition to anxiety, metabolic, and inflammatory conditions. Vata-predominant individuals characteristically exhibit heightened sympathetic reactivity, greater parasympathetic withdrawal under challenge, and elevated vulnerability to anxiety, insomnia, and irregular physiological rhythms. Pitta types tend to display intense metabolic activation, stronger inflammatory responses, and a propensity toward irritability and burnout. Kapha types generally show relative physiological stability, higher baseline parasympathetic tone, and delayed or sustained effects under prolonged stress, with greater resilience to acute fluctuations yet susceptibility to inertia and depressive withdrawal. This review integrates classical concepts drawn from Charaka Samhita, Sushruta Samhita, and Ashtanga Hridaya with contemporary findings from autonomic physiology, psychoneuro-endocrinology, and Ayurgenomics. Prakriti assessment emerges as a potentially valuable translational tool for personalized stress risk stratification and the design of individualized lifestyle (Dinacharya, Ritucharya), yoga-based, and adaptogenic interventions. Further standardized, longitudinal, multi-omics, and interventional studies are essential to validate and operationalize these associations within the framework of precision medicine.