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Issue title: Recent Developments in Statistical Methods for Medical Research
Article type: Research Article
Authors: Janiashvili, Mananaa; b | Jibladze, Nodarc | Matcharashvili, Teimurazc | Topchishvili, Alexanderc; *
Affiliations: [a] Institute of Cardiology, Tbilisi, Georgia | [b] Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia | [c] Georgian Technical University, Tbilisi, Georgia | University of Texas, Health Science Center at Houston, TX, USA
Correspondence: [*] Corresponding author: Alexander Topchishvili, Friedrich-Ebert-Str, 88, 35039 Marburg, Germany. E-mail: alextopchi@gmail.com.
Abstract: We have investigated blood pressure and heart rate variability characteristics of 160 persons in the age range from 30 to 70 years in this research using different methods of statistical data analysis. By their systolic blood pressure values, participants of this investigation were grouped in optimal, normal, high normal and first grade hypertension blood pressure categories according to guidelines for Management of Hypertension. Data sets of measured as well as calculated characteristics such as systolic and diastolic pressures, pulse pressure, the mean arterial pressure and heart rate of participants have been analyzed. By this analysis we aimed to investigate relation between the level of blood pressure and statistical and distributional features of mentioned characteristics in different classification categories. The most important task was to compare variability features of arterial pressure and heart rate characteristics for persons falling into normal and high normal hypertension categories. This was caused by the fact that grouping of patients in these close groups do not ensure that variability features of their blood pressure and heart rate characteristics will necessarily differ. The results of our analysis have convinced that there is clear reference between variability features of analyzed characteristics (systolic, diastolic, pulse pressure, the mean arterial pressure and heart rate) and the level of blood pressure in different categories. Moreover, despite of closeness of threshold values of the blood pressure, established by guidelines for normal and high normal categories of a hypertension, the analyzed features of patients from these categories were found significantly different by their statistical and distributional features.
Keywords: Hypertension, blood pressure category, statistics, distribution function
DOI: 10.3233/MAS-130262
Journal: Model Assisted Statistics and Applications, vol. 8, no. 2, pp. 177-184, 2013
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