Meteosensitivity: Individual Responses to Weather in Clinical Practice


Meteosensitivity — the individual tendency to experience symptom changes in response to atmospheric transitions — is a clinically observable phenomenon that has been described across cultures for over two millennia, yet remains poorly integrated into modern medical research and practice. This book examines meteosensitivity as a spectrum of individual physiological responses to weather, ranging from normal adaptive reactions to functionally significant meteodependence and, at the severe end, meteopathy. Drawing on biometeorology, chronobiology, autonomic physiology, and clinical medicine, it introduces the constitutional averaging problem as the core methodological reason why most population studies fail to detect genuine subgroup effects. Chapters address the main meteorological drivers of symptom change, the constitutional, developmental, and ecological factors that shape individual vulnerability, the biological mechanisms involved, and the clinical domains — neurological, cardiovascular, respiratory, musculoskeletal, and autonomic — where weather-linked patterns are most clearly recognizable. Practical guidance on diagnosis, prevention, and treatment is provided, with emphasis on chronobiological alignment, blinded symptom logging, N-of-1 trial methodology, and individualized rather than universal management. The final chapters situate meteosensitivity within public health and propose a concrete research agenda focused on better exposure metrics, validated screening tools, priority clinical subgroups, and the long-term potential of AI-based individualized prediction. The book argues that what calls itself evidence-based medicine has not yet produced adequate evidence on this question, and that the next step is not more crude population averaging but precise, individual-focused, constitutionally stratified inquiry.

Keywords: meteosensitivity, meteopathy, meteodependence, weather and health, chronobiology, constitutional averaging problem, N-of-1 trials, autonomic dysfunction, individualized medicine, biometeorology