Meteosensitivity: Individual Responses to Weather in Clinical Practice

 

Why This Book Was Born

We first attempted to write a book on meteosensitivity about twenty years ago. That manuscript was never published and was eventually lost. This book is our second attempt — and, as you can see, a completed one.

The earlier work was titled We Are Meteopats, because it was grounded not only in the medical literature but also in our personal experience. That experience did more than confirm for us that meteosensitivity is real; it suggested that the phenomenon may, in some cases, have hereditary roots. We do not state this as a proven fact, but as an observation that deserves serious attention.

This starting point matters. On one side stand real people — whose experiences we know firsthand, as both witnesses and colleagues — whose mood, energy, and physical condition change reliably with the weather. On the other side stands modern Western medicine, our own professional tradition, which has largely declined to recognize these observations as clinically meaningful. Over the past two decades, this has changed only slightly. A search of the biomedical literature is instructive: there were only two publications on meteopathy indexed in PubMed Central in 2012, one in 2015, and a gradual increase after 2017, reaching a modest peak of seven papers in 2025. By May 2026, only three had appeared, suggesting the field remains at the margins of academic medicine.

The situation with the core terminology is even more telling. Searches using the terms meteosensitivity and meteodependence return still fewer results than meteopathy itself — in some years, none at all. This is not simply a matter of vocabulary. It reflects the degree to which the field as a whole has failed to develop even a shared, stable language for a phenomenon that millions of people experience and report to their clinicians every day.

This neglect is difficult to justify. Medical history, everyday clinical practice, and the existing literature on weather-related conditions all indicate that individual responses to weather are part of human physiology and cannot responsibly be set aside. In this book, we examine meteosensitivity as a real, individualized clinical phenomenon. We also investigate why some modern studies have produced negative or dismissive conclusions — and argue that these conclusions often reflect the limits of the methods used rather than the absence of the phenomenon itself.

We hope this discussion will open a more honest path into clinical practice, and beyond that, will contribute to moving medicine from a purely formal label of ‘evidence-based’ toward methods that generate evidence genuinely sensitive to individual differences.

Introduction

This book is about a gap — between what many patients experience and what medicine has been willing to recognize.

Individual responses to weather have been described for over two millennia, across cultures with no connection to one another, and are reported daily in contemporary clinical encounters. Yet the modern medical literature on this phenomenon remains sparse, the terminology is unstable, and the methodological tools used to study it have been largely inadequate to the question. Most population studies ask whether weather affects health on average, across unselected populations, and conclude that it does not — or barely. This book argues that this conclusion reflects a structural problem in study design rather than the absence of a real clinical phenomenon.

The central concept introduced in Chapter 1 and applied throughout is the constitutional averaging problem: when a meaningful effect exists only in a vulnerable subgroup, pooling data across heterogeneous populations erases the signal. This is not a new methodological insight — it is the foundation of precision medicine — but it has been almost entirely absent from meteosensitivity research.

The book proceeds from foundations to mechanisms, from mechanisms to clinical picture, from clinical picture to management, and from management to the broader and future dimensions of the field. Each part builds on the previous one, but each chapter is also designed to be readable independently by clinicians who need practical guidance rather than a sequential argument.

Two things this book does not claim: that all patients are meteosensitive, or that the mechanisms are fully understood. Both would be false. What it does claim is that a reproducible, clinically manageable, and under-recognized subgroup exists — and that taking this subgroup seriously is not a retreat from rigorous medicine but a step toward it.

In this book, we use the terms meteosensitivity, meteoresilience, meteodependence, and meteopathy as spectrum categories; although some authors write meteoro- instead of meteo-, the terminology remains inconsistent and is not yet fully standardized.

Throughout this book, we distinguish between established findings, observational patterns, biologically plausible mechanisms, and hypothesis-generating ideas. When the evidence is weak or speculative, we say so explicitly.

Part I: Foundations

Chapter 1 — Weather and Human Health: Historical Context and Methodological Challenge

Weather has always been more than background scenery in human life. Across cultures and eras, certain patients have consistently reported that their symptoms flare with approaching storms, worsen before cold fronts, intensify with falling pressure, or settle once the weather stabilizes. Others in the same environment notice no pattern at all. This persistent individual variability, set against frequently null or weak findings in large population studies, forms the central puzzle this book addresses.

This chapter has three aims. First, it provides historical and contemporary context for weather-related symptom patterns. Second, it introduces the book’s core methodological thesis: the constitutional averaging problem. Third, it explains why current limitations in the evidence are not a reason for silence, but rather a call for careful conceptual, clinical, and methodological work.

Historical Context

The idea that weather influences health appears repeatedly across medical traditions. In the fifth century BCE, the Hippocratic treatise Airs, Waters, and Places urged physicians to consider local winds, seasonal changes, and climate when assessing both communities and individuals. Classical Ayurvedic texts emphasized seasonal regimens (ritucharya) and constitutional types (prakriti) with differing sensitivities to heat, cold, dampness, and wind. Classical Chinese medicine described external factors — wind, cold, damp, and heat — as capable of disrupting internal balance, especially during transitions. Similar ideas appeared in European humoral medicine and later folk and spa traditions that prescribed specific climates for joint pain, respiratory issues, and nervous disorders.

In the twentieth century, descriptive clinical approaches continued in certain regions. Soviet and post-Soviet medicine developed observational taxonomies of “meteopathic” responses, while Japanese Kampo and Korean medicine adapted traditional concepts of wind, cold, and dampness alongside modern diagnoses.

These accounts are noteworthy: weather-linked symptom patterns have been observed across widely separated cultures and intellectual frameworks. Yet they remain descriptive, embedded in pre-modern or hybrid systems, and rarely subjected to controlled measurement. For this book, they serve strictly as cultural and historical context — evidence that such narratives are enduring — not as mechanistic proof.

Contemporary Experiences

Similar patterns are reported by people today. Many individuals with chronic pain, migraine, mood disorders, or cardiovascular conditions describe reproducible flares before storms, during rapid pressure drops, or with specific combinations of heat and humidity. Others in the same household or city report no effects. These experiences appear in clinical encounters, support groups, and online forums, often tracked with apps, calendars, or personal weather stations.

These modern observations bridge historical traditions and formal research. They show that the phenomenon has not disappeared with modernity. At the same time, they sit uneasily beside large studies that frequently find no population-level effect — leading many patients and clinicians to feel that science sometimes dismisses lived experience too readily.

From Description to Measurement

Historical and everyday accounts typically describe weather in broad terms (“cold,” “damp,” “storms”) without quantifying rate, magnitude, or timing. Physiology, however, responds to specific dynamics — a rapid overnight pressure drop may matter far more than a slow change. Everyday reports also rarely account for clothing, housing, activity, comorbidities, or adaptations that alter effective exposure.

These limitations mean that narratives alone cannot establish clinical significance or reproducibility. Modern standards require precise measurement, confounder control, and assessment of consistency. Under these standards, a central challenge emerges: even well-designed population studies can miss real effects if those effects exist only in a vulnerable subgroup.

The Constitutional Averaging Problem

This book terms the core issue the constitutional averaging problem. When a population mixes highly sensitive individuals, insensitive ones, and those who may even respond in the opposite direction, pooling the data can dilute or erase genuine subgroup effects.

This problem is not unique to meteosensitivity. It arises whenever exposure-response relationships vary substantially across individuals. If only 15–25% of people are meaningfully sensitive, a strong signal in that group can disappear into the overall mean. Researchers may then conclude “there is no effect” when the accurate statement is “there is no average effect across a heterogeneous population.”

This leads to three practical issues: overgeneralized null conclusions, clinicians dismissing credible patient reports, and reduced incentive for further research. The remedy is to treat meteosensitivity status as a routine baseline variable — like age, sex, or comorbidities — enabling stratified analyses and better study design.

Limits of Current Evidence

Most modern epidemiological studies have not directly examined meteosensitivity as a trait. They treat populations as homogeneous, use coarse exposure metrics (e.g., “rain vs. no rain”), and do not phenotype participants for sensitivity. A flat average result under these conditions does not prove the absence of clinically relevant effects in vulnerable subgroups — it simply shows no large uniform effect was detected.

The combination of recurring historical and contemporary observations with these methodological constraints suggests a real phenomenon worth investigating more precisely, rather than dismissing prematurely.

Modern Examples of Averaging Effects

A large 2017 U.S. Medicare analysis found no increase in joint or back pain visits on rainy days. The study used binary rainfall as a crude proxy and lacked individual meteosensitivity data or detailed pressure/humidity dynamics. It answers whether crude rainfall correlates with pain visits in an unselected population, but cannot rule out effects in a sensitive minority.

Similarly, the 2022 TIME trial found no difference in cardiovascular outcomes between morning and evening antihypertensive dosing at the population level. This informs general practice but does not exclude benefits for specific circadian or nocturnal phenotypes. In both cases, a null average does not disprove meaningful individual-level effects.

Precision Medicine as the Appropriate Framework

Precision medicine provides the right lens. Instead of seeking universal rules, it asks: *Which patients, under which conditions, show which reproducible responses?* It treats variability as insight rather than noise.

This favors within-person designs, repeated measures, and methods (such as blinded delayed-feedback logging) that separate true physiological responses from expectation bias. Clinically, it supports careful listening followed by systematic evaluation — neither reflexive acceptance nor dismissal.

Why We Should Continue Inquiry Now

Given the limitations of existing evidence, one might ask whether discussion should wait for better trials. This book takes the opposite view. Precisely because current studies are incomplete and often misinterpreted, there is value in clear conceptual framing, methodological critique, and clinically grounded guidance.

Articulating the constitutional averaging problem and the need for better phenotyping can help shape future research. Clinicians already face patients reporting weather-linked patterns; thoughtful guidance prevents the false choice between uncritical acceptance and outright rejection. Silence on this topic would itself send a message — that patient experiences are irrelevant or disproven — when the more accurate stance is cautious, transparent exploration.

Weather -related symptom patterns have been described for over two millennia and continue to be reported today. These accounts reflect a longstanding clinical intuition that humans vary in their sensitivity to atmospheric changes.

Meteosensitivity exists on a spectrum. At the physiological end, it represents normal, adaptive responses with minimal functional impact. At the pathological end, it includes meteoresilience (noticeable but well-buffered responses), meteodependence (noticeable dependence on favorable weather for daily functioning), and meteopathy (severe, recurrent, and disabling reactions). The constitutional averaging problem helps explain why population studies often miss these individual differences.

The chapters that follow examine meteorological factors, human vulnerability, biological mechanisms, clinical presentations, and management through this spectrum lens.

You can learn more by reading our e-book 

Mykola Iabluchanskyi together with Andriy Yabluchanskiy