The state of vegetative regulatory systems of pupils with different academic performance

  • Zh.V. Sotnikova-Meleshkina SI “Institute of Child and Adolescent Health of the National Academy of Medical Sciences of Ukraine”
  • I.V. Redka V.N.Karazin Kharkiv National University
  • O.Ya. Mikhalchuk V.N.Karazin Kharkiv National University
Keywords: heart rate variability, vegetative profile, academic performance, pupils.


The transition to primary school requires pupils to adapt to new conditions of the educational environment, accompanied by the use of physiological reserves of the body. School stress can hinder the academic success of children and adolescents, creative solutions to complex and new problems, which, in turn, can lead to underestimation of abilities and underestimation of pupils self-esteem. Chronic exposure to academic stress can lead to school burnout and the formation of psychosomatic disorders. The aim of the study was to compare the functional state of autonomic regulatory systems among pupils with different levels of academic achievement. 60 children (10-13 years old) took part in the longitudinal study. The functional state of the autonomic regulatory systems was determined by analyzing 5-minute recordings of the electrocardiogram in a state of quiet wakefulness with eyes closed in a sitting position. Pupils were divided into 3 groups depending on the level of their academic performance, which was determined by the average score of 8 basic subjects. Statistical data processing was performed using the Mann-Whitney, Kraskell-Wallis, Dunnett, Fisher’s φ-test. Significant differences in heart rate variability (HRV) parameters depending on the level of academic achievement were found only in the 5th and 6th years of study, which reflected the different physiological cost of adaptation to primary school. The vegetative profile of pupils with academic performance lower than the average in the 5th year of study indicated overstrain of regulatory systems and fatigue. Among pupils with academic performance higher than the average in the 6th year of study 2.4 times more often than pupils with average academic performance, the optimal state of autonomic regulatory systems was observed (respectively, 46.2% and 19.1%, p≤0,05), and in the 7th year of study – 2.5 times compared to pupils with academic performance below average (respectively, 46.2% and 18.2%, p≤0.05), which may indicate a higher physiological price for adaptation to primary school pupils with academic performance below average. Fatigue and overexertion of the mechanisms of autonomic regulation are characteristic of pupils with academic performance below average, while pupils with academic performance above average had a high level of stress adaptive-compensatory mechanisms in the 6th year of study. The category of pupils with a level of academic performance below average should be assigned to the risk group in terms of the development of autonomic dysfunction and psychosomatic diseases.


[1] Agafonkina, T. V., & Kostrova, O. Yu. (2008). Indicators of the autonomic nervous system and academic performance of students. Chuvash University Bulletin, 2, 42-45.
[2] Alexandrova, L. A., Belonogova, E. V., Kazin, E. M., & Krivosheina, N. P. (2014). Peculiarities of personality potential in high school students with different types of vegetative regulation at school adaptation conditions. Valeology, 3, 47-57.
[3] Baevsky, R. M., Ivanov G. G., Kukushkin, Yu.A. (2001). Analysis of heart rate variability using different electrocardiographic systems (guidelines). Bulletin arrhythmology, 24, 65-87.
[4] Banks, J., & Smyth, E. (2015). ‘Your whole life depends on it’: Academic stress and high-stakes testing in Ireland. J. Youth Stud., 18, 598-616. doi: 10.1080/13676261.2014.992317
[5] Beauchaine, T. P. (2015). Future directions in emotion dysregulation and youth psychopathology. Journal of Clinical Child & Adolescent Psychology, 1, 1-22.
[6] Collishaw, S. (2015). Annual research review: Secular trends in child and adolescent mental health. J. Child. Psychol. Psyc., 56, 370-393. doi: 10.1111/jcpp.12372
[7] Eccles, J. S., & Roeser, R. W. (2011). Schools as developmental contexts during adolescence. J. Res. Adolescence, 21, 225-241. doi: 10.1111/j.1532-7795.2010.0072
[8] Fedorova, E. V., Melnikova, I. E., & Babich, M. S. (2005). Psychophysiological features of adaptation of fifth-graders with high and low academic performance to physical and intellectual stress. Natural factors and social conditions for educational success. SPb.: SAGA.
[9] Gileva, O. B. (2012). Psychophysiological bases of success of educational activity. Yekaterinburg: Publishing House UrGUPS.
[10] Kaplan, D., Liu, R. X., & Kaplan, H. B. (2005). School related stress in early adolescence and academic performance three years later: the conditional influence of self expectations. Social Psychology of Education, 8, 3-17.
[11] Klinger, D. A., Freeman, J. G., Bilz, L., Liiv, K., Ramelow, D., Sebok, S. S., … Rasmussen, M. (2015). Cross-national trends in perceived school pressure by gender and age from 1994 to 2010. European Journal of Public Health, 25 (Suppl. 2), 51-56. doi: 10.1093/eurpub/ckv027
[12] Laborde, S., Mosley, E., & Mertgen, A. (2018). Vagal tank theory: The three Rs of cardiac vagal control functioning - resting, reactivity, and recovery. Frontiers in neuroscience, 12, 458.
[13] Malik, M. (1996). Heart rate variability. standards of measurement, physiological interpretation, and clinical use. Task force of the european society of cardiology and the north american society of pacing and electrophysiology. Eur. Heart J., 17, 354-381. doi: 10.1093/oxfordjournals.eurheartj.a014868
[14] Sætren, S. S., Sütterlin, S., Lugo, R. G., Prince-Embury, S., & Makransky, G. (2019). A Multilevel Investigation of Resiliency Scales for Children and Adolescents: The Relationships Between Self-Perceived Emotion Regulation, Vagally Mediated Heart Rate Variability, and Personal Factors Associated With Resilience. Frontiers in Psychology, 10, 438.
[15] Schwabe, L., & Wolf, O. T. (2010). Learning under stress impairs memory formation. Neurobiology of learning and memory, 93(2), 183-188.
[16] Scrimin, S., Moscardino, U., Finos, L., & Mason, L. (2019). Effects of Psychophysiological Reactivity to a School-Related Stressor and Temperament on Early Adolescents’ Academic Performance. The Journal of Early Adolescence, 39(6), 904-931.
[17] Sweeting H., West P., Young R., Der G. (2010). Can we explain increases in young people’s psychological distress over time? Soc. Sci. Med., 71, 1819-1830. doi: 10.1016/j.socscimed.2010.08.012
[18] Thayer, J. F., Ahs, F., & Wager, T. D. (2012). A meta-analysis of heart rate variability and neuroimaging studies: Implications for heart rate variability as a marker of stress and health. Neuroscience & Biobehavioral Reviews, 36, 747-756.
[19] Tyng, C. M., Amin, H. U., Saad, M., & Malik, A. S. (2017). The Influences of Emotion on Learning and Memory. Frontiers in Psychology, 8, 1454.
[20] Vogel, S., Schwabe, L. (2016). Learning and memory under stress: implications for the classroom. NPJ Science Learn, 1, 16011
[21] Walburg, V. (2014). Burnout among high school students: A literature review. Child. Youth Serv. Rev., 42, 28-33. doi: 10.1016/j.childyouth.2014.03.020
[22] Zaikina, A. L. (2016). Psychophysiological “cost” as a criterion of educational process organization effectiveness in terms of excess informational load on schoolchildren. A Young Scientist, 11, 1, 40-43.
How to Cite
Sotnikova-Meleshkina, Z., Redka, I., & Mikhalchuk, O. (2020). The state of vegetative regulatory systems of pupils with different academic performance. Reports of Morphology, 26(3), 46-51.