Novosibirsk State Pedagogical University Bulletin, 2018, vol. 8, no. 5, pp. 230–244
UDC: 
612.453:159.91

Correlation between psychophysiological characteristics and a cortizole level in boarding school adolescents

Varich L. A. 1 (Kemerovo, Russian Federation), Fedorov A. I. 1 (Kemerovo, Russian Federation), Nemolochnaya N. V. 2 (Kemerovo, Russian Federation), Blinova N. G. 1 (Kemerovo, Russian Federation)
1 Kemerovo state university
2 Kemerovo State University
Abstract: 

Introduction. The authors investigate the problem of body functioning under the influence of stress factors. The main goal of the research is to identify the relationship between psychophysiological characteristics of adolescents studying at a boarding school, with a cortisol level (a stress hormone).
Materials and Methods. The sample consisted of 54 healthy boarding school students aged between 14 and 15. For this study, neurodynamic and psychodynamic characteristics, a heart rate variability and a level of salivary cortisol were evaluated. Adolescents were divided into three groups, taking into account the level of salivary cortisol. Correlation analysis was performed to determine the correlation.

Results. The study reveals interdependence between some psychophysiological parameters of adaptation and a salivary cortisol level in boarding school adolescents. It is shown that an increase of the cortisol level is accompanied by an increase in mobility of nervous processes, brain working capacity, dominance of excitation processes above inhibition, decrease in short-term memory volume, and dominance of sympathetic influences in regulation of cardiac activity with optimal body functioning. Adolescents with a lower hormone concentration differ from peers by increase in centralization of vegetative regulation mechanisms in conditions of predominating vagus influences on the heart rhythm, decrease in a level of organism functional reserve, a lower level of neurodynamic characteristics, larger volume of short-term memory, and imbalance of nervous processes with dominance of inhibition. Balanced activity of sympathetic and para sympathetic divisions of the vegetative nervous system (VNS), high attention level and balance of nervous processes are observed at mean values of salivary cortisol.
Conclusions. The results indicate a correlation between a cortisol level and psychophysiological characteristics of adolescents and allow to conclude about its leading role in adaptive reactions of boarding school students.

For citation:
Varich L. A., Fedorov A. I., Nemolochnaya N. V., Blinova N. G. Correlation between psychophysiological characteristics and a cortizole level in boarding school adolescents. Novosibirsk State Pedagogical University Bulletin, 2018, vol. 8, no. 5, pp. 230–244. DOI: http://dx.doi.org/10.15293/2226-3365.1805.14
References: 
  1. Aizman R. I., Lebedev A. V., Aizman N. I., Rubanovich V. B. Methodology and practice of health monitoring of the studying youth. Health and Education Millemmium, 2017, vol. 19, no. 5, pp.  73–78. (In Russian) URL: https://elibrary.ru/item.asp?id=28278749
  2. Baevsky R. M., Ivanov G. G. Cardiac rhythm variability: The theoretical aspects and the opportunities of clinical application (lecture). Ultrasonic and Functional Diagnostics, 2001, no.  3, pp. 108–127. (In Russian) URL: https://elibrary.ru/item.asp?id=25990135
  3. Blinova N. G., Kazin E. M., Vasina E. V., Vityaz' S. V. Characteristics of the psychophysiological development of adolescents and adaptation to education at the gymnasium. Human Physiology, 2009, vol. 39, no. 6, pp. 714–721. URL: https://elibrary.ru/item.asp?id=15296124
  4. Galeev A. R., Igisheva L. N., Kazin E. M. Heart rate variability in healthy children aged 6–16 years. Human Physiology, 2002, vol. 28, no. 4, pp. 54–58. (In Russian) URL: https://elibrary.ru/item.asp?id=29841320
  5. Ivanov V. I., Litvinova N. A., Berezina M. G. Automated сomplex for yvaluation of individual-typological properties and functional state of the human body «PF Status». Valeology, 2004, no. 4, pp. 70–73. (In Russian) URL: https://elibrary.ru/item.asp?id=29803376
  6. Kazin E. M., Sviridova I. A., Berezina M. G., Prokhorova A. M., Komarova O. A., Saval' L. A., Fedorov A. I., Shorin Yu. P. Effect of sociobiological factors on the formation of adaptive responses in school students during puberty. Human Physiology, 2008, vol. 34, no. 4, pp. 431–439. URL: https://elibrary.ru/item.asp?id=11032416
  7. Kozlov A. I., Kozlova M. A. Cortisol as a marker of stress. Human Physiology, 2014, vol. 40, no.  2, pp. 123–136. (In Russian) DOI: https://doi.org/10.1134/S0362119714020091
  8. Tarasova O. L., Fedorov A. I., Kazin E. M., Igisheva L. N., Chetverik O. N. Integrated assessment of neurodynamic and autonomic indicators in adolescents: Age-specific, gender-specific, and typological characteristics. Human Physiology, 2017, vol. 43, no. 1, pp. 45–54. (In Russian) DOI: https://doi.org/10.1134/S0362119716060190ё
  9. Fedorov A. I., Kazin E. M., Selyatitskaya V. G., Ovchinnikova O. V. The use a physiological monitoring model for a comprehensive assessment adaptive abilities of students in educational process.  Message II.  Features of hormonal psychovegetative status in adolescents living in different socio-environmental conditions. Human Physiology, 2002, vol. 28, no. 6, pp. 64–68. (In Russian) URL: https://elibrary.ru/item.asp?id=21236243
  10. Churekova T. M., Blinova N. G., Sapego A. V., Varich L. A. The content of health saving support in the system of continuous education. Valeology,  2004, no. 4, pp. 67–70. (In Russian) URL: https://elibrary.ru/item.asp?id=29803411
  11. Shlyk N. I. The heart rate and regulation type of children, teenagers and sportsmen. Monography. Izhevsk, Udmurt University Publ., 2009, 254 p. URL:  https://elibrary.ru/item.asp?id=19551410
  12. Arminjon M. Birth of the allostatic model: from cannon’s biocracy to critical physiology. Journal of the History of Biology, 2016, vol. 49, issue 2, pp. 397–423. DOI: https://doi.org/10.1007/s10739-015-9420-9
  13. Belda X., Fuentes S., Daviu N., Nadal R., Armario A. Stress-induced sensitization: The hypothalamic-pituitary-adrenal axis and beyond. Stress, 2015, vol. 18, issue 3, pp. 269–279. DOI: https://doi.org/10.3109/10253890.2015.1067678
  14. Demitrack M. Neuroendocrine correlates of chronic fatigue syndrome: A brief review. Journal of Psychiatric Research, 1997, vol. 31, issue 1, pp. 69–82. DOI: https://doi.org/10.1016/S0022-3956(96)00059-3
  15. Elbuken G., Tanriverdi F., Karaca Z., Kula M., Gokahmetoglu S., Unluhizarci K., Kelestimur F. Comparison of salivary and calculated free cortisol levels during low and standard dose of ACTH stimulation tests in healthy volunteers. Endocrine, 2015, vol. 48, issue 2, pp. 439–443. DOI: https://doi.org/10.1007/s12020-014-0378-8
  16. Elenkov I. J., Chrousos G. P. Stress system – organization, physiology and immunoregulation. Neuroimmunomodulation, 2006, vol. 13, no. 5, pp. 257–267. DOI: https://doi.org/10.1159/000104853
  17. Erickson K., Drevets W., Schulkin J. Glucocorticoid regulation of diverse cognitive functions in normal and pathological emotional states. Neuroscience and Biobehavioral Reviews, 2003, vol. 27, issue 3, pp. 233–246. DOI: https://doi.org/10.1016/S0149-7634(03)00033-2
  18. Evans P., Bristow M., Hucklebridge F., Clow A. Stress, arousal, cortisol and immunoglobulin a in students undergoing assessment. British Journal of Clinical Psychology, 1994, vol. 33, part 4, pp. 575–576. URL: https://www.ncbi.nlm.nih.gov/pubmed/7874049
  19. Kashdan E., Duncan D., Parnell A., Schattler H.Mathematical methods in systems biology. Mathematical Biosciences and Engineering, 2016, vol. 13 (6), pp. i–ii DOI: http://dx.doi.org/10.3934/mbe.201606i
  20. Lim H. J., Chung S. S., Joung K. H. Factors of depressive symptoms among elementary, middle and high school students. Archives of Psychiatric Nursing, 2016, vol. 30 (3), pp. 302–308. DOI: https://doi.org/10.1016/j.apnu.2015.11.010
  21. Nicolson N., Van Diest R. Salivary cortisol patterns in vital exhaustion. Journal of Psychosomatic Research, 2000, vol. 49 (5), pp. 335–342. URL: https://www.ncbi.nlm.nih.gov/pubmed/11164057
  22. Ozgocer T., Yildiz S., Ucar C. Development and validation an enzyme-linked immunosorbent assay for detection of cortisol in human saliva. Journal of Immunoassay and Immunochemistry, 2017, vol. 38 (2), pp. 147–164. DOI: https://doi.org/10.1080/15321819.2016.1230130
  23. Sapolsky R. M., Romero L. M., Munck A. U. How do glucocorticoids influence stress responses? Integrating permissive, suppressive, stimulatory, and preparative actions. Endocrine Reviews, 2000, vol. 21, issue 1, pp. 55–89. DOI: https://doi.org/10.1210/edrv.21.1.0389
  24. Schulkin J. Social allostasis: Anticipatory regulation of the internal milieu. Frontiers in Evolutionary Neuroscience, 2011, vol. 2, pp. 111. DOI: https://doi.org/10.3389/fnevo.2010.00111
  25. Shahrestani S., Stewart E. M., Quintana D. S., Hickie I. B., Guastella A. J. Heart rate variability during adolescent and adult social interactions: A meta-analysis. Biological Psychology, 2015, vol.  105, pp. 43–50. DOI: https://doi.org/10.1016/j.biopsycho.2014.12.012
  26. Van der Knaap L. J., Oldehinkel A. J., Verhulst F. C., van Oort F. V, Riese H. Glucocorticoid receptor gene methylation and HPA-axis regulation in adolescents. The TRAILS study. Psychoneuroendocrinology, 2015, vol. 58, pp. 46–50. DOI: https://doi.org/10.1016/j.psyneuen.2015.04.012
Date of the publication 31.10.2018