Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/53031
Type of publication: Konferencijų tezės nerecenzuojamuose leidiniuose / Conference theses in non-peer-reviewed publications (T2)
Field of Science: Visuomenės sveikata / Public health (M004)
Author(s): Venclovienė, Jonė;Babarskienė, Rūta-Marija;Dobožinskas, Paulius;Dėdelė, Audrius;Brazienė, Agnė
Title: Effects of weather and particulate matter on emergency ambulance calls for elevated arterial blood pressure
Is part of: Environmental health perspectives. Research Triangle Park, USA : National Institute of Environmental Health Sciences, 2016, vol. 124, suppl
Extent: p. 64-64
Date: 2016
Note: Abstract Number: P1-064, ID: 3558. EHP : 28th annual conference International Society for Environmental epidemiology "Old and new risks: challenges for environmental epidemiology", Rome, Italy, 1–4 September 2016 : abstracts
Keywords: Hypertension;Blood pressure;Meteorological concepts;Climate;Regression analysis;Multivariate analysis
Abstract: Introduction: A circadian variation in blood pressure has been detected. It is plausible that the influence of the environment on the exacerbation of essential hypertension varies during different periods of the day. Methods: We analyzed data of 17,114 patients who called Kaunas city (Lithuania) ambulance for the exacerbation of essential hypertension (EEH) (the emergency calls (EC) were coded I.10-I.15) during the period of January 1, 2009 through June 30, 2011. Using the multivariate Poisson regression, we calculated rate ratios (RRs) of daily EC for EEH that occurred during the time intervals of 8:00-13:59, 14:00-21:59, and 22:00-7:59, and evaluated their association with weather variables (air temperature, wind speed, relative humidity, and barometric pressure) and particulate matter with an aerodynamic diameter ≤ 10μm (PM10), adjusting for monthly variation and the day of the week. We used the environmental variables at lag 0-7 days; the terms of these variables were a 3-piece linear spline functions. The analysis was performed separately for older (>65 years) and younger patients. Results: During the time intervals of 14:00-21:59 and 22:00-7:59, a negative association between air temperature and EEH was detected, whereas during 8:00-13:59, the significant risk of EEH was associated only with daily changes in temperature. A 10 μg/m3 increase in mean PM10 4-6 days before the call (lag 4-6) in the range >median was associated with EC for EEH before noon (RR=1.06, 95% CI 1.02-1.10) and at night (RR=1.04, 95% CI 1.00-1.09). For older patients, the risk of EC for EEH was associated with mean PM10 at lag 2-4 in the range 10 at lag 1-7 in the range >median in the afternoon (RR=1.04, 95% CI 1.01-1.07), and with mean PM10 at lag 0-1 in the range >median at night (RR=1.04, 95% CI 1.01-1.07). Conclusions: The influence of environmental conditions on the risk of EC for EEH varied depending on the time of the EC
Internet: https://ehp.niehs.nih.gov/doi/10.1289/isee.2016.3558
Affiliation(s): Aplinkotyros katedra
Gamtos mokslų fakultetas
Lietuvos sveikatos mokslų universitetas. Medicinos akademija
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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