Science for Education Today, 2020, vol. 10, no. 5, pp. 178–195
373.1 +371.7 +613. 955+613.956

Functional state of schoolchildren’s adaptation system in conditions of separation from mobile communication devices

Novikova I. I. 1 (Novosibirsk, Russian Federation), Romanenko S. P. 1 (Novosibirsk, Russian Federation), Lobkis M. A. 2 (Novosibirsk, Russian Federation), Ivleva G. P. 1 (Novosibirsk, Russian Federation), Zubtsovskaya N. A. 1 (Novosibirsk, Russian Federation), Savchenko O. A. 3 (Omsk, Russian Federation), Sorokina A. V. 1 (Novosibirsk, Russian Federation)
1 Novosibirsk Research Institute of Hygiene
2 Novosibirsk Research Institute of Hygiene of the Federal Service for Supervision of Human Welfare
3 Omsk tank-automotive engineering Institute

Introduction. The article examines the problem of creating healthy learning environments for children and adolescents. The purpose of this research is to identify the characteristics of functional state of schoolchildren’s adaptation system in conditions of limited use of mobile communication devices.
Materials and Methods. Data for this study were collected using a hygiene experiment. The sample consisted of 355 schoolchildren. The observation group (n=155) included students separated from their mobile communication devices. The control group consisted of 180 students.
The study involved evaluating the functional state of the adaptive capacity of compensatory adaptive mechanisms using generally accepted R. M. Baevsky’s method, modified for the purposes of the research. The identified indicators were subjected to statistical processing. The authors employed the following methods of theoretical research: comparison, formalization, generalization and system analysis.

Results. The authors provide an international overview of interventions aimed at reducing mobile phone use in educational settings. The relationship between the state of schoolchildren’s adaptation mechanisms within all age groups and indicators of the cardiovascular system in conditions of separation from mobile communication devices was studied. The authors focus on the values of schoolchildren’s adaptive capacity in conditions of free use of mobile phones during the school day compared to the values obtained in conditions of smartphone separation. The study reveals the correlation between the activity and sensitivity of vegetative regulation of heart rate and gender and age characteristics.
Conclusions. The research findings confirm the effectiveness of the restrictions imposed on the use of personal mobile communication devices at comprehensive schools. The authors conclude that limited use of mobile communication devices prevents reducing adaptive capacity of the child's body, therefore it reduces the risk of fatigue and pathological changes.


Healthy learning environments; Schoolchildren; Mobile communication devices; Hemodynamic parameters; Adaptive capacity; Education settings; Strain; Compensatory adaptive functions; Cardiovascular system.


Prominence Percentile SciVal: 99.883 Internet Use | Addiction | Gaming

Functional state of schoolchildren’s adaptation system in conditions of separation from mobile communication devices

For citation:
Novikova I. I., Romanenko S. P., Lobkis M. A., Ivleva G. P., Zubtsovskaya N. A., Savchenko O. A., Sorokina A. V. Functional state of schoolchildren’s adaptation system in conditions of separation from mobile communication devices. Science for Education Today, 2020, vol. 10, no. 5, pp. 178–195. DOI:
  1. Bobkova I. A. School digitalization: School life in the conditions of modernization. Analysis and Modeling of Economic and Social Processes: Mathematics. Computer. Education, 2019, vol.  26  (7) no. 26, pp. 99–107. (In Russian) DOI: URL:
  2. Stenman S., Pettersson F. Remote teaching for equal and inclusive education in rural areas? An analysis of teachers’ perspectives on remote teaching. International Journal of Information and Learning Technology, 2020, vol. 37 (3), pp. 87–98. DOI:  
  3.  Pearson V., Lister K., McPherson E., Gallen A.-M., Davies G., Colwell C., Bradshaw K., Braithwaite N., Collins T. Embedding and sustaining inclusive practice to support disabled students in online and blended learning. Journal of Interactive Media in Education, 2019, vol. 1, pp. 4. DOI:
  4. Kuchma V. R., Tkachuk E. A., Tarmayeva I. Yu. Psychophysiological state of children in the conditions of Informatization of their life activity and intensification of education. Hygiene and Sanitation, 2016, vol. 95 (12), pp. 1183–1188. (In Russian) DOI:  URL: 
  5. Minghelli B. Musculoskeletal spine pain in adolescents: Epidemiology of non-specific neck and low back pain and risk factors. Journal of Orthopaedic Science, 2019, vol. 25 (5), pp. 776–780. DOI:
  6. Lanca C., Saw S. M. The association between digital screen time and myopia: A systematic review. Ophthalmic and Physiological Optics, 2020, vol. 40 (2), pp. 216–229. DOI:
  7. Raustorp A., Spenner N., Wilkenson A., Fröberg A. School‐based study showed a correlation between physical activity and smartphone and tablet use by students aged eight, 11 and 14. Acta Paediatrica, 2020, vol. 109 (4), pp. 801–806. DOI:  
  8. Odgers C. L., Jensen M. R. Annual research review: Adolescent mental health in the digital age: Facts, fears, and future directions. Journal of Child Psychology and Psychiatry, 2020, vol. 61 (3), pp. 336–348. DOI:  
  9.  Dresp-Langley B. Children’s health in the digital age. International Journal of Environmental Research and Public Health, 2020, vol. 17 (9), pp. 3240. DOI:
  10. Anshari M., Alas Y., Sulaiman E. Smartphone addictions and nomophobia among youth. Vulnerable Children and Youth Studies, 2019, vol. 14 (3), pp. 242–247. DOI:
  11. Ariel Y., Elishar-Malka V. Learning in the smartphone era: Viewpoints and perceptions on both sides of the lectern. Education and Information Technologies, 2019, vol. 24, pp. 2329–2340. DOI: 
  12. Leonovich E. G., Barysheva O. B. Digital era of education: Why smartphones are not enemies of textbooks. Scientific Journal. Engineering Systems and Structures, 2020, vol. 2 (1), pp. 88–94. (In Russian) URL:  
  13. Kabanova E. E., Vetrova E. A. The use of modern electronic gadgets in the educational process of the university. European Journal of Contemporary Education, 2019, vol. 8 (3), pp. 524–533. DOI:  URL: 
  14. Buinov L. G., Aizman R. I., Gerasev A. D., Sorokina L. A., Plakhov N. N., Shangin A. B. Health-forming education – one of the most important tasks of modernity. Hygiene and Sanitation, 2018, vol. 97 (9), pp. 869–872. (In Russian) DOI:  URL:
  15. Healey A., Mendelsohn A. Selecting appropriate toys for young children in the digital era. Pediatrics, 2019, vol. 143 (1), pp. e20183348. DOI:   
  16. Baiguzhin P. A., Shibkova D. Z., Aizman R. I. Factors affecting psychophysiological processes of information perception within the context of education informatization. Science for Education Today, 2019, vol. 9 (5), pp. 48–70. (In Russian) DOI:  URL:
  17. Novikova I. I., Yerofeev Yu. V., Flyanku I. P., Usacheva E. V., Kulikova O. M. Physical activity and individual accidental risk of infringement of the health of schoolchildren. Hygiene and Sanitation, 2020, vol. 99 (3), pp. 279–285. (In Russian) DOI:  URL: 
  18.  Stiglic N., Viner R. M. Effects of screentime on the health and well-being of children and adolescents: A systematic review of reviews. BMJ Open, 2019, vol. 9 (1), pp. e023191. DOI:   
  19. Phan T. T., Tucker J. M., Siegel R., Christison A. L., Stratbucker W., Werk L. N., Hossain J., Datto  G., Gentile D. A., Stubblefield S. Electronic gaming characteristics associated with class 3 severe obesity in youth who attend the pediatric weight management programs of the COMPASS Network. Childhood Obesity, 2019, vol. 15 (1), pp. 21–30. DOI:
  20. Smit C. R., Buijs L., van Woudenberg T. J., Bevelander K. E., Buijzen M.  The impact of social media influencers on children’s dietary behaviors. Frontiers in Psychology, 2020, vol. 10, pp. 2975. DOI:
  21. Cheng C., Li A.Y. Internet addiction prevalence and quality of (real) life: A meta-analysis of 31 nations across seven world regions. Cyberpsychology Behavior and Social Networking, 2014, vol.  17, pp. 755–760. DOI: URL:  
  22. Zink J., Belcher B. R., Imm K., Leventhal A. M.  The relationship between screen-based sedentary behaviors and symptoms of depression and anxiety in youth: A systematic review of moderating variables. BMC Public Health, 2020, vol. 20, pp. 472. DOI:  
  23. Takeuchi H., Taki Y., Asano K., Asano M., Sassa Y., Yokota S., Kotozaki Y., Nouchi R., Kawashima R. Impact of frequency of internet use on development of brain structure and verbal intelligence: longitudinal analyses. Human Brain Mapping, 2018, vol. 39 (11), pp. 4471–4479. DOI:  
  24. Bener A., Yildirim E., Torun P., Çatan F., Bolat E., Alıç, S., Griffiths M. D. Internet addiction, fatigue, and sleep problems among adolescent students: a large-scale study. International Journal of Mental Health and Addiction, 2019, vol. 17 (4), pp. 959–969. DOI: 
  25. Makarova L. V., Lukyanets G. N. Gadgets and their use by students in extracurricular activities. New Study, 2019, no. 1, pp. 15–24. (In Russian) URL: 
  26. Yang J., Fu X., Liao X., Li Y. Association of problematic smartphone use with poor sleep quality, depression, and anxiety: A systematic review and meta-analysis. Psychiatry Research, 2020, vol.  284, 112686. DOI: 
  27. McNeill J., Howard S. J., Vella S. A., Cliff D. P. Longitudinal associations of electronic application use and media program viewing with cognitive and psychosocial development in preschoolers. Academic Pediatrics, 2019, vol. 19 (5), pp. 520–528. DOI:  
  28. Kim K., Ryu E., Chon M. Y., Yeun E. J., Choi S. Y., Seo J. S., Nam B. W. Internet addiction in Korean adolescents and its relation to depression and suicidal ideation: a questionnaire survey. International Journal of Nursing Studies, 2006, vol. 43 (2), pp. 185–192. DOI:  URL:  
  29. Lau J. T. F., Walden D. L., Wu A. M. S., Cheng K. M., Lau M. C. M., Mo P. K. H. Bidirectional predictions between Internet addiction and probable depression among Chinese adolescents. Journal of Behavioral Addictions, 2018, vol. 7 (3), pp. 633–643. DOI:   
  30. Twenge J. M., Joiner T. E., Martin G., Rogers M. L. Digital media may explain a substantial portion of the rise in depressive symptoms among adolescent girls: Response to Daly. Clinical Psychological Science, 2018, vol. 6 (3), pp. 296–297. DOI:  
  31. Klimov V. M., Aizman R. I. Assessment of physical health of school graduates entering universities. Bulletin of Siberian Medicine, 2016, vol. 15 (3), pp. 41–47. (In Russian) DOI:  URL:
  32. Novikova I. I., Erofeev Yu. V., Denisov A. V. Results of complex hygienic assessment of health of schoolchildren. Health of the Population and Environment, 2018, no. 4, pp. 31–35. (In Russian) DOI:  URL:   
  33. Kuchma V. R., Sukhareva L. M., Khramtsov P. I. Hygienic safety children in hyperinformation society. Health of the Population and Environment, 2016, no. 8, pp. 4–7. (In Russian) URL: 
  34. Beland L. P., Murphy R. Ill communication: technology, distraction & student performance. Labour Economics, 2016, vol. 41, pp. 61–76. DOI:  
  35. Pereira F. S., Bevilacqua G. G., Coimbra D. R., Andrade A. Impact of problematic smartphone use on mental health of adolescent students: Association with mood, symptoms of depression, and physical activity. Cyberpsychology, Behavior, and Social Networking, 2020, vol. 23 (9), pp. 619–626. DOI:  URL:
  36. Kessel D., Hardardottir H. L., Tyrefors B. The impact of banning mobile phones in Swedish secondary schools. Economics of Education Review, 2020, vol. 77, art. 102009. DOI:
  37. Ermakova I. V., Dogadkina S. B., Rubleva L. V., Kmit G. V., Bezobrazova V. N., Sharapov A. N. Adaptation of cardiovascular system, autonomous nervous regulation of heart rate and endocrine system to different types of loads in 10-15-year-old schoolchildren: Characteristic features. Science for Education Today, 2019, vol. 9 (5), pp. 176–204. (In Russian) DOI:   URL:
  38. Grigoriev A. I., Grigoriev K. I. Role of environmental diseases in the development of adaptation disorders in children and adolescents. Meditsinskaya Sistera, 2018, vol. 20 (7), pp. 32–38. (In Russian) DOI: URL:   
  39. Khashkhozheva D. A., Sunsheva B. M., Akkizov A. Yu., Sabanova R. K., Dzamikhova A. Z., Kosherova K. A. Functional reserves of pupils and students under adaptation to the changing conditions of training. Proceedings of the Samara Scientific Center of the Russian Academy of Sciences, 2017, vol. 19 (2), pp. 178–182. (In Russian) URL:  
Date of the publication 31.10.2020