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ISSN 2522-9028 (Print)
ISSN 2522-9036 (Online)
DOI: https://doi.org/10.15407/fz

Fiziologichnyi Zhurnal

is a scientific journal issued by the

Bogomoletz Institute of Physiology
National Academy of Sciences of Ukraine

Editor-in-chief: V.F. Sagach

The journal was founded in 1955 as
1955 – 1977 "Fiziolohichnyi zhurnal" (ISSN 0015 – 3311)
1978 – 1993 "Fiziologicheskii zhurnal" (ISSN 0201 – 8489)
1994 – 2016 "Fiziolohichnyi zhurnal" (ISSN 0201 – 8489)
2017 – "Fiziolohichnyi zhurnal" (ISSN 2522-9028)

Fiziol. Zh. 2024; 70(3): 10-15


A MULTIFACTOR MODEL FOR ESTIMATING THE SENSITIVITY OF A HUMAN VESTIBULAR ANALYZER

S.N. Vadzyuk, R.M. Shmata, A.S. Sverstyuk, T.A. Lebedeva

    Horbachevsky Ternopil National Medical University, Ternopil, Ukraine
DOI: https://doi.org/10.15407/fz70.03.010


Abstract

Increased vestibular sensitivity can cause various inconveniences and interfere with a full life; therefore, it is important to study the factors influencing its development and progression. However, in the available scientific literature, this issue is not covered. The aim of our work was to develop a multivariate regression model for predicting increased sensitivity of the vestibular analyzer. For this, we surveyed 120 students of the I. Horbachevsky Ternopil National Medical University. To establish increased vestibular sensitivity, we conducted a survey and a rotation test by using the Barani chair. We assessed the psychophysiological state. Prognostically significant criteria from 50 indicators that indicate increased vestibular sensitivity are the level of neuroticism, well-being, activity, mood, vestibular stability, latent periods of simple and complex visualmotor reactions, functional mobility of nervous processes, and heart rate. The model of mathematical forecasting proposed by us can become one of the stages of the prevention of disorders caused by the increased sensitivity of the vestibular analyzer.

Keywords: vestibular sensitivity; psychological testing; visual-motor reactions; mobility of nervous processes; blood pressure; heart rate; prognostication; regression model.

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