気象関連痛（天気痛）の疫学，臨床的特徴と発症予測情報サービス

Abstract

Weather changes accompanied by decreases in barometric pressure are suggested to trigger meteoropathy, i.e., weather-related pain. In this paper, the epidemiological and clinical features of weather-related pain (TENKITSU) are shown and the mechanism is briefly described. From the weather pain survey 2020, it is estimated that there are at least 10 million people who have weather pain in Japan, but it seems that it is difficult to deal with it in general clinical practice. It is necessary to establish a highly accurate meteoro pathy forecast in order to establish effective preventive treatments. We conducted a large-scale Internet survey and built a predictive model. The survey period was about one year, and 35 surveys were done. We analyzed the correlation between the symptom reports obtained from weather news (WN) users (157,698 in total) and the barometric pressure data. The barometric pressure change pattern that contributes to the onset of weather-related pain was indexed. We found that obvious changes in atmospheric pressure, minute changes in atmospheric pressure (micropressure fluctuations) which occur as a precursor to the collapse of the weather, and diurnal fluctuations in atmospheric pressure (atmospheric tide) correlate with worsening of symptoms. Therefore, we weighted the contributions of these three factors, built a model that predicts the risk of developing weather pain up to 6 days ahead every 3 hours, and started using it at WN.

Investigating the effects of weather on headache occurrence using a smartphone application and artificial intelligence: A retrospective observational cross‐sectional study

“…The barometric differences 6 h before headache events were used because the barometric pressure fluctuates on a 6‐h cycle due to atmospheric tide. Atmospheric tides may be associated with the occurrence of headaches 24 . The association between the 6‐h barometric difference during weather front migration or typhoon and the number of headaches is shown in Videos S1 and S2.…”

“…Time‐series clustering 25,26 was based on headache event counts and weather information from the filtered users. One‐to‐one Euclidean matching was performed for raw barometric pressure, minimum (min)–maximum (max) normalized barometric pressure, min–max normalized temperature, and raw humidity because these variables are time‐series, and the prevalence of headaches is affected by their change over several hours and days 7,9–11,17,24 …”

“…The application was developed by a meteorologist who focused on headaches and other pains caused by barometric pressure changes. 24 The application registers the location where users live to predict the date and time when their pain is likely to occur based on barometric pressure graphs. Over 1 million individuals per month use this application to manage their physical condition by checking changes in barometric pressure and changing their plans and actions, including taking medicine.…”

“…37 Tenkitsu Yohou (Weather News, Tokyo, Japan; https://weath ernews.jp/s/pain/) may also forecast headaches based on weather. 24 These applications are helpful in monitoring migraine attacks and collecting big data for further studies.…”

“…Zutool (BellSystem24, Inc., Tokyo, Japan; https://zutool.jp/) is a physical condition management smartphone application launched in 2013 for barometric pressure forecasts. The application was developed by a meteorologist who focused on headaches and other pains caused by barometric pressure changes 24 . The application registers the location where users live to predict the date and time when their pain is likely to occur based on barometric pressure graphs.…”