| About the author: |
I. V. Serheta, V. V. Kovalchuk, S. V. Dmytrenko, G. V. Datsenko, O. L. Ocheretna |
| Heading |
CLINICAL MEDICINE |
| Type of article |
Scentific article |
| Annotation |
Using the regression analysis technique, we have built the individual models of heart rate variability indicators (HRV) based on the individual features of constitutional parameters of the body, age and hand strength with determination coefficients R2 less than 0.5 in practically healthy Podillia young men and women of eucinetic hemodynamics type. It was found that R2 determination coefficients of young men in 17 completed models ranged from 0.136 to 0.478, while in young women, R2 determination coefficients of 17 completed models ranged from 0.095 to 0.342. The models of young men most commonly covered the width of distal epiphyses of long tubular bones of the limbs (30.9%, mostly upper limbs), body circumference dimensions (15.7%, mainly at account of limbs) and body diameters (12.6%, mostly sagittal and transverse mid-thoracic size of the chest and pelvic measurement (Distancia cristarum)); and models of young women - age (35.3%), body weight components (13.7%, mainly at account of body muscle mass by Matiegka), width of distal epiphyses of long tubular bones of the limbs (at account of the lower extremities) and the hand strength (at account of the right hand) (11.8% each). |
| Tags |
practically healthy young men and women, heart rate variability, hemodynamics types, anthropometry, regressive models |
| Bibliography |
- Bunak V V. Anthropometry: a practical course. М.: Uchpedgiz; 1941 (in Russian).
- Buchheit M, Platat C, Oujaa M, Simon C. Habitual physical activity, physical fitness and heart rate variability in preadolescents. Int. J. Sports. Med. 2007; 28(3): 204-210.
- Carter J, & Heath B. Somatotyping – development and applications. Cambridge University Press; 1990.
- Chethan H A, Murthy N, Basavaraju К. Comparative study of heart rate variability in normal and obese young adult males. Int. J. Biol. Med. Res. 2012; 3(2): 1621-1623.
- Chernova А А, Nikulina S Yu, Tretyakova S S. Cardiorhythmography as a method of functional diagnostics (literature review). Siberian Medical Review. 2013; 2(80): 44-49. (in Russian)
- Demidov V А, Maltsev D N, Mavliev F А. Features of a hemodynamics parameters complex and their variability at persons of youthful age with a different type of a circulation. Bulletin of the Tyumen State University. Series "Biological and Medical Sciences". 2007; 6: 96-100. (in Russian)
- Gombarska D, & Horicka М. Evaluation of heart rate variability in time – Frequency domain. ELEKTRO. 2012; IEEE.
- Kim G M, & Woo J M. Determinants for heart rate variability in a normal Korean population. Journal of Korean Medicine Science. 2011; 26: 1293-1298.
- Matiegka J. The testing of physical efficiency. Amer. J. Phys. Antropol. 1921; 2(3): 25-38.
- Moskovko S P, Yoltuhgwski V М, Moskovko G S, Kostenko М P. Standardization of the technique of computerized variation pulsometry in order to assess the state of vegetative regulation. Bulletin of the Vinnitsa State Medical University. 2000; 1: 238-239. (in Ukraine)
- Molfino A, Fiorentini A, Tubani L, Martuscelli M, Rossi Fanelli F, Laviano A. Body mass index is related to autonomic nervous system activity as measured by heart rate variability. Eur. J. Clin. Nutr. 2009; 63(10): 1263-1265.
- Mikhailova L А. Spectral characteristic of the heart rhythm in girls of high school students with different types of vegetative reactivity. Bulletin of Chelyabinsk State University. Education and health. 2013; 1: 52-58. (in Russian)
- Nikolayev V I, Denisenko N P, Denisenko М D. Type of circulation and adaptation (physiology and psychology). Bulletin of the Russian Military Medical Academy. 2012; 2: 70-73. (in Russian)
- Pulikov А S, & Moskalenko О L. Constitutional features of cardio-respiratory system and adaptive abilities of young men. In the world of scientific discoveries. 2012; 5(3): 87-111. (in Russian)
- Poddar M G, Kumar V, Sharma Y P. Heart Rate Variability based Classification of Normal and Hypertension Cases by Linear-nonlinear Method. Defence Science Journal. 2014; 64(6): 542-548.
- Serheta I V, & Kovalchuk V V. Regression models heart rate variability depending on the characteristics of the body structure, age and power compression of hands in healthy young men and women with hypokinetic type of hemodynamics. World of Medicine and Biology. 2015; 3(52): 36-41. (in Ukraine)
- Shkhvatsabaya I К., Gundarov I А, Konstantinov Е N, Pushkar, Yu Т. Hemodynamic parallels between types of central and cerebral circulation in persons with normal arterial pressure. Cardiology. 1982; 9: 13-16. (in Russian)
- Vinogradova Т S. Instrumental methods for the study of the cardiovascular system (Handbook). М.: Medicine.; 1986. (in Russian)
- Volnenko I G, Savchenko V А, Pakhomova L E. Studying of typological features of a hemodynamics of an organism of students not physical culture high school. Sci. statements of BelGU. Ser. Med. Pharmacy. 2011; 13: 75-79. (in Russian)
- Zaitsev V М, Lifliandskiy V G, Marinkin V I. Applied medical statistics. Tutorial. «Publishing house Foliant»; 2006. (in Russian)
|
| Publication of the article |
«World of Medicine and Biology» №4(62), 2017 year, 081-084 pages, index UDK 616.12-008.318:[612.014.5-053.9]:612.1-053.67 |
| DOI |
10.26724/2079-8334-2017-4-62-81-84 |
