Associations between Quasi-biennial Oscillation phase, solar wind, geomagnetic activity, and the incidence of acute myocardial infarction

• Published in: International journal of biometeorology Vol. 64; no. 7; pp. 1207 - 1220
• Main Authors: Vencloviene, Jone, Radisauskas, Ricardas, Vaiciulis, Vidmantas, Kiznys, Deivydas, Bernotiene, Gailute, Kranciukaite-Butylkiniene, Daina, Tamosiunas, Abdonas
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-07-2020; Springer Nature B.V
• Subjects: Animal Physiology; Biological and Medical Physics; Biophysics; Cardiovascular diseases; Coronary artery disease; Dynamic pressure; Earth and Environmental Science; Environment; Environmental Health; Geomagnetic activity; Geomagnetic storms; Geomagnetism; Heart attacks; Heart diseases; Ischemia; Magnetic storms; Meteorology; Myocardial infarction; Original Paper; Plant Physiology; Quasi-biennial oscillation; Regression analysis; Risk; Solar oscillations; Solar wind; Solar wind dynamics; Solar wind velocity; Space weather; Weather; Weather conditions; Wind oscillations; Wind speed; Weather; Acute myocardial infarction; Solar wind; Geomagnetic activity; Quasi-biennial Oscillation phase
• ISSN: 0020-7128; 1432-1254
• DOI: 10.1007/s00484-020-01895-z

An increase in the daily rate of acute myocardial infarction (AMI) has been observed during days of geomagnetic storm (GS). However, the analysis of associations between the daily number of AMI and geomagnetic activity (GMA) over longer periods sometimes yields controversial results. The study aimed to detect the complex association between the daily numbers of AMI and weather, the Quasi-biennial Oscillation (QBO) phase, GMA, and solar wind variables. We used data of Kaunas population-based Ischemic Heart Disease Register of residents of Kaunas city (Lithuania) for 2000–2012. The associations between weather and space weather variables and the daily number of AMI were evaluated by applying the multivariate Poisson regression. A higher risk of AMI was positively associated with active-stormy local GMA (rate ratio (RR) = 1.06 (95% CI 1.01–1.10)), solar wind dynamic pressure with a lag of 4 days (RR = 1.02 (1.01–1.04) per 1 nPa increase), and solar wind speed with a lag of 3–7 days (RR = 1.03 (1.01–1.05) per 100 km/s increase). A positive association was found between the west QBO phase and the risk of AMI during winter (RR = 1.08 (1.01–1.16)), and a negative association was observed between them during March–November (RR = 0.93 (0.90–0.97)). The risk of AMI positively associated with the GS due to stream interaction regions with a lag of 0–2 days during the east QBO phase (RR = 1.10,
p
 = 0.046) and was negatively associated with them during the west QBO phase (RR = 0.82,
p
 = 0.024). These results may help understand the population’s sensitivity under different weather and space weather conditions. The QBO phase may modify the effect of GS.