Showing papers by "Jone Vencloviene published in 2020"
TL;DR: A SIR event, days between two space weather events, and FSW without GS may be associated with a risk to human health.
Abstract: It is shown the statistical associations between space weather pattern and humans’ cardiovascular system. We investigated the association between space weather events and cardiovascular characteristics of 4076 randomly selected patients with acute coronary syndrome (ACS) who were admitted for inpatient treatment in Kaunas city, Lithuania during 2000–2005. We hypothesized that days of the space weather events, 1–3 days after, and the period between two events, named as intersection days (1–3 days after the event, which coincided with 1–3 days before the event), might be associated with patients’ cardiovascular characteristics. The multivariate logistic regression was applied, and the patients’ risk was evaluated by odds ratio (OR), adjusting for age, sex, smoking status, the day of the week, and seasonality. During the intersection days of geomagnetic storms (GS), the risk of ACS increases in obese patients (OR=1.72, p = 0.008). The risk of ventricular fibrillation during admission was associated with stream interaction region (SIR) with a lag of 0–3 days (OR=1.44, p = 0.049) The risk of ACS in patients with chronic atrial fibrillation was associated with fast solar wind (FSW) (≥600 km/s) (lag 0–3 days, OR=1.39, p = 0.030) and with days of solar proton event (lag 0–3) going in conjunction with SIR (lag 0–3) (OR=2.06, p = 0.021). During days which were not assigned as GS with a lag of (−3 to 3) days, FSW (lag 0–3) was associated with the risk of ACS in patients with renal disease (OR=1.71, p = 0.008) and days of SIR – with the risk in patients with pulmonary disease (OR=1.53, p = 0.021). A SIR event, days between two space weather events, and FSW without GS may be associated with a risk to human health.
7 citations
TL;DR: The study aimed to detect the complex association between the daily numbers of AMI and weather, the Quasi-biennial Oscillation phase, GMA, and solar wind variables and to help understand the population’s sensitivity under different weather and space weather conditions.
Abstract: 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.
7 citations
TL;DR: In the participants who lived in MH, the residential distance to a major road closer than 200 m and the residential exposure to PM10 and PM2.5 levels above the median were associated with a higher risk of AH, RHDL cholesterol and high triglyceride levels.
Abstract: BACKGROUND Metabolic syndrome (MS) is characterized by numerous metabolic risk factors. We investigated the associations between a long-term exposure to ambient air pollution and the residential distance to green spaces (GS) and major roads with the development of arterial hypertension (AH) and some components of MS. These associations were assessed among persons living in private and multi-story houses (MH). METHODS We selected 1354 participants for the population study from MONICA (Multinational Monitoring of Trends and Determinants in Cardiovascular Disease Program). The exposures to PM10, PM2.5, and NO2 levels were assessed by using the LUR models for Kaunas City. RESULTS In the participants who lived in MH, the residential distance to a major road closer than 200 m and the residential exposure to PM10 and PM2.5 levels above the median were associated with a higher risk of AH (the adjusted relative risks (RRs), respectively, were 1.41(1.10-1.81), 1.19(1.01-1.42) and 1.27(1.07-1.52)). In these participants, the residential exposure to a PM10 level above the median was associated with a higher risk of reduced high density lipoprotein (RHDL) (RR = 1.46(1.05-2.05)). A negative impact of the traffic air pollutants on the incidence of AH, RHDL cholesterol and high triglyceride levels was observed only in the participants who lived in MH.
4 citations