Submissions are open for the upcoming issue.

Molecular Medicine Peer-reviewed scientific journal

Molecular Medicine

ОРИГИНАЛЬНОЕ ИССЛЕДОВАНИЕ2026, No. 1

Telemedicine screening and three-year follow-up of stress-associated autonomic dysfunction in students during university adaptation: clinical and digital risk stratification and personalized prevention

Seliverstov P.V., Salikova S.P., Aleshko O.V., Simakhodsky A.S., Shapovalov V.V., Dyakov T.S., Romakh D.V., Roslyakova M.A., Chernyakova V.E., Golikova D.A.

Authors and affiliations

https://elibrary.ru/lbzeis

P.V. Seliverstov(1), S.P. Salikova(1), O.V. Aleshko(2), A.S. Simakhodsky(3), V.V. Shapovalov(4),
T.S. Dyakov(3), D.V. Romakh(3), M.A. Roslyakova(5), V.E. Chernyakova(5), D.A. Golikova(6)
1-Federal State Budgetary Educational Institution of Higher Education “S.M. Kirov Military Medical Academy” of the Ministry of Health of the Russian Federation, Lebedeva St., 6, Saint-Petersburg, 194044, Russian Federation; 2-Saint-Petersburg State Healthcare Institution “City Polyclinic No.76”, Khlopina St., 11, Build. 1, Saint-Petersburg, 194021, Russian Federation; 3-FSFEI HE Pavlov First
Saint-Petersburg State Medical University, L’va Tolstogo str. 6–8, Saint-Petersburg, 197022, Russian Federation; 4I=ntelligent Software Systems Limited Liability Company, Kantemirovskaya Str., 37, Office 201, Saint-Petersburg, 194100, Russian Federation;
5-Saint-Petersburg State Pediatric Medical University of the Russian Ministry of Health, Litovskaya St., 2, Saint-Petersburg, 194100, Russian Federation; 6FSAEI HE I.M. Sechenov First Moscow State Medical University of the Ministry of Health
of the Russian Federation (Sechenov University), Trubetskaya st., 8, build. 2, Moscow, 119991, Russian Federation

Pages
10–21
Published
2026
Section
ОРИГИНАЛЬНОЕ ИССЛЕДОВАНИЕ
Молекулярная медицина, 2026, № 1Issue2026, No. 1Go to the issue →
How to cite

Abstract

Background. University entry is accompanied by abrupt changes in social environment, lifestyle and cognitive load, which challenge stress-response systems, the autonomic nervous system (ANS), and immune-metabolic homeostasis. In Russian clinical practice, this symptom cluster is often labeled as “vegetovascular dystonia”, while a more accurate framework is autonomic dysfunction and/or somatoform autonomic disorder (ICD-10: F45.3). Digital and telemedicine approaches may enable early detection of ANS dysregulation and prevention of clinically significant functional disorders.
The aim. To evaluate a telemedicine-based early screening program with a 3-year follow-up in university students, focusing on detection of stress-related autonomic dysfunction, clinico-molecular risk stratification, and rationale for personalized prevention (behavioral and nutritional) to reduce symptom burden and adverse educational outcomes (including academic leave).
Material and methods. Prospective telemedicine cohort study. Assessments were performed before the start of education and repeatedly during 3 years using digital questionnaires, sleep and workload metrics, cardiovascular parameters, and heart rate variability (HRV) indices as a dynamic biomarker of ANS regulation.
Results. The study involved 3,155 people. 100 people were selected by random sampling for dynamic observation, of which 83 students completed the study. There were 50 (60.2%) girls and 33 (39.8%) boys among them. The average age of the observed patients was 19.4±0.8 years. There were 48 (57.8%) people from St. Petersburg and the Leningrad Region, 35 (42.2%) people from other cities. The selection criterion was to determine the high risk of developing diseases according to one of the pathology profiles based on the results of remote questionnaire screening. The risks of developing diseases were distributed as follows: cardiology 29 (35%); gastroenterology 20 people (24%); endocrinology 27 (33%); oncology 6 (7%); pulmonology 1 (1%). During the follow-up period, 48 (57.8%) sought medical help. Of these, 13 (27.1%) were students from St. Petersburg and Leningrad Region, and 35 (72.9%) were from other cities. In 17 cases, treatment required separation from the learning process. Among them, 38.5% were students from St. Petersburg and Leningrad Region, 62.9% were nonresident students. On average, each case required 15.7 days of treatment. During the follow-up period, 41.2% of the students were ill 2 or more times.
Conclusion. Telemedicine-based screening in students enables early identification of ANS dysregulation phenotypes and supports personalized preventive strategies integrating lifestyle interventions and targeted nutritional support.

Keywords

Authors and affiliations

https://elibrary.ru/lbzeis

P.V. Seliverstov(1), S.P. Salikova(1), O.V. Aleshko(2), A.S. Simakhodsky(3), V.V. Shapovalov(4),
T.S. Dyakov(3), D.V. Romakh(3), M.A. Roslyakova(5), V.E. Chernyakova(5), D.A. Golikova(6)
1-Federal State Budgetary Educational Institution of Higher Education “S.M. Kirov Military Medical Academy” of the Ministry of Health of the Russian Federation, Lebedeva St., 6, Saint-Petersburg, 194044, Russian Federation; 2-Saint-Petersburg State Healthcare Institution “City Polyclinic No.76”, Khlopina St., 11, Build. 1, Saint-Petersburg, 194021, Russian Federation; 3-FSFEI HE Pavlov First
Saint-Petersburg State Medical University, L’va Tolstogo str. 6–8, Saint-Petersburg, 197022, Russian Federation; 4I=ntelligent Software Systems Limited Liability Company, Kantemirovskaya Str., 37, Office 201, Saint-Petersburg, 194100, Russian Federation;
5-Saint-Petersburg State Pediatric Medical University of the Russian Ministry of Health, Litovskaya St., 2, Saint-Petersburg, 194100, Russian Federation; 6FSAEI HE I.M. Sechenov First Moscow State Medical University of the Ministry of Health
of the Russian Federation (Sechenov University), Trubetskaya st., 8, build. 2, Moscow, 119991, Russian Federation

References

Li K., Cardoso C., Moctezuma-Ramirez A., Elgalad A., Perin E. Heart rate variability measurement through a smart wearable device: another breakthrough for personal health monitoring? Int. J. Environ Res Public Health. 2023; 20 (24): 7146. doi:10.3390/ijerph20247146. PMID: 38131698; PMCID: PMC10742885.

2. Benitez-Agudelo J.C., Restrepo D., Navarro-Jimenez E., Clemente-Suárez V.J. Longitudinal effects of stress in an academic context on psychological well-being, physiological markers, health behaviors, and academic performance in university students. BMC Psychol. 2025; 13 (1): 753. DOI: 10.1186/s40359-025-03041-z. PMID: 40629456; PMCID: PMC12239435.

3. Кухтевич И.И., Алёшина Н.И. Синдром вегетативно-сосудистой дистонии как соматоформное расстройство. Саратовский журнал медицинских научных исследований. 2019; 15 (1): 159–62. Available from: https://ssmj.ru/system/files/archive/2019/2019_01-1_159-162.pdf [Kukhtevich I.I., Alyoshina N.I. Vegetative vascular dystonia syndrome as a somatoform disorder. Saratov J. of Medical Scientific Research. 2019; 15 (1): 159–62 (in Russian)]

4. World Health Organization. International statistical classification of diseases and related health problems. 10th revision (ICD-10). ICD-10 Version 2010 [Internet]. Geneva: World Health Organization; 2010 [cited 2026 Feb 8]. Available from: https://icd.who.int/browse10/2010/en

5. Головачева В.А., Парфенов В.А. Тревожные расстройства под маской вегетососудистой дистонии. Медицинский совет. 2017; 17: 26–30. DOI: 10.21518/2079-701X-2017-17-26-30. [Golovacheva V.A., Parfenov V.A. Anxiety disorders under the guise of vegetovascular dystonia. Meditsinskiy sovet (Medical Council). 2017; 17: 26–30. DOI:10.21518/2079-701X-2017-17-26-30 (in Russian)]

6. Agorastos A., Mansueto A.C., Hager T., Pappi E., Gardikioti A., Stiedl O. Heart rate variability as a translational dynamic biomarker of altered autonomic function in health and psychiatric disease. Biomedicines. 2023; 11 (6): 1591. DOI: 10.3390/biomedicines11061591.

7. Boschiero D., Gallotta A., Ferrari F., Dragoumani K., Lamprou G., Vlachakis D., Chrousos G.P. Predictive health index: integrating body composition and heart rate variability metrics with artificial intelligence to predict chronic disease risk and specific chronic non-communicable diseases. Hormones (Athens). 2025. DOI: 10.1007/s42000-025-00727-2. Epub ahead of print. PMID: 41359153.

8. Kuan P.X., Chan W.K., Fern Ying D.K., Rahman M.A.A., Peariasamy K.M., Lai N.M., Mills N.L., Anand A. Efficacy of telemedicine for the management of cardiovascular disease: a systematic review and meta-analysis. Lancet Digit Health. 2022; 4 (9): 676–91. DOI: 10.1016/S2589-7500(22)00124-8. PMID: 36028290; PMCID: PMC9398212.

9. Селиверстов П.В., Шаповалов В.В., Кравчук Ю.А., Саликова С.П., Купов С.С., Селивёрстова Т.Н., Задорожная Е.А., Микеладзе Н.М., Кормщикова К.В. Искусственный интеллект в ранней диагностике: интеграция донозологического скрининга и персонализированной профилактики хронических неинфекционных заболеваний. Молекулярная медицина. 2025; 5: 70–8. DOI: 10.29296/24999490-2025-05-08. [Seliverstov P.V., Shapovalov V.V., Kravchuk Yu.A., Salikova S.P., Kupov S.S., Seliverstova T.N., Zadorozhnaya E.A., Mikeladze N.M., Kormshchikova K.V. Artificial intelligence in early diagnosis: integration of prenosological screening and personalized prevention of chronic non-communicable diseases. Molecular medicine. 2025; 5: 70–8. DOI: 10.29296/24999490-2025-05-08 (in Russian)]

10. Ferdous S., Rajasegaran R., Munisamy M., Basu S., Harichandrakumar K.T. Cardiac dysautonomia, decreased baroreflex sensitivity and increased myocardial workload in patients with chronic spontaneous urticaria: a preliminary report. Indian J. Dermatol. 2023; 68 (3): 261–7. DOI: 10.4103/ijd.ijd_648_22. PMID: 37529468; PMCID: PMC10389156.

11. Селиверстов П.В., Крюков Е.В., Гриневич В.Б. Практическая реализация технологий искусственного интеллекта при проведении профилактического медицинского осмотра. Медицинский совет. 2025; 13: 266–72. DOI: 10.21518/ms2025-322. [Seliverstov P.V., Kryukov E.V., Grinevich V.B. Practical implementation of artificial intelligence technologies during preventive medical examination. Medical advice. 2025; 13: 266–72. DOI: 10.21518/ms2025-322 (in Russian)]

12. Селиверстов П.В., Безручко Д.С., Васин А.В., Гриневич В.Б., Семенов К.П., Алешко О.В., Шаповалов В.В. Телемедицинский дистанционный многопрофильный анкетный скрининг как инструмент раннего выявления хронических неинфекционных заболеваний. Медицинский совет. 2023; 17 (6): 311–21. DOI: 10.21518/ms2023-070. [Seliverstov P.V., Bezruchko D.S., Vasin A.V., Grinevich V.B., Semenov K.P., Alyoshko O.V., Shapovalov V.V. Telemedicine remote multidisciplinary questionnaire screening as an early detection tool for chronic non-communicable diseases. Medical advice. 2023; 17 (6): 311–21. DOI: 10.21518/ms2023-070 (in Russian)]

13. Malekpour M., Shekouh D., Safavinia M.E., Shiralipour S., Jalouli M., Mortezanejad S. et al. Role of FKBP5 and its genetic mutations in stress-induced psychiatric disorders: an opportunity for drug discovery. Front Psychiatry. 2023; 14: 1182345. DOI: 10.3389/fpsyt.2023.1182345.

14. Raffetti E., Melas P.A., Landgren A.J., Andersson F., Forsell Y., Lavebratt C., Galanti M.R. DNA methylation of the glucocorticoid receptor gene predicts substance use in adolescence: longitudinal data from over 1000 young individuals. Transl Psychiatry. 2021; 11 (1): 477. DOI: 10.1038/s41398-021-01601-6. PMID: 34526487; PMCID: PMC8443651.

15. Das A., Baidya R., Chakraborty T., Samanta A.K., Roy S. Pharmacological basis and new insights of taxifolin: a comprehensive review. Biomed Pharmacother. 2021; 142: 112004. DOI: 10.1016/j.biopha.2021.112004. Epub 2021 Aug 10. PMID: 34388527.

16. Shinozaki F., Kamei A., Shimada K., Matsuura H.., Shibata T., Ikeuchi M. et al. Ingestion of taxifolin-rich foods affects brain activity, mental fatigue, and the whole blood transcriptome in healthy young adults: a randomized, double-blind, placebo-controlled, crossover study. Food Funct. 2023; 14 (7): 3600–12. DOI: 10.1039/D2FO03151E.

17. Filippovich S.Y., Isakova E.P., Bachurina G.P., Deryabina Y.I. Modern developing directions in the dihydroquercetin study. Molecules. 2025; 30 (21): 4187. DOI: 10.3390/molecules30214187. PMID: 41226150; PMCID: PMC12609695.

18. Varlamova E.G., Uspalenko N.I., Khmil N.V., Shigaeva M.I., Stepanov M.R., Ananyan M.A., Timchenko M.A., Molchanov M.V., Mironova G.D., Turovsky E.A. A comparative analysis of neuroprotective properties of taxifolin and its water-soluble form in ischemia of cerebral cortical cells of the mouse. Int. J. Mol. Sci. 2023; 24 (14): 11436. DOI: 10.3390/ijms241411436. PMID: 37511195; PMCID: PMC10380368.

19. Селивёрстов П.В., Шаповалов В.В., Кравчук Ю.А., Саликова С.П., Шаваева Ф.В., Исаева П.А., Салманова М.М., Арсланбекова Р.М. Информационные технологии на основе искусственного интеллекта в эру персонализированной оценки здоровья. Молекулярная медицина. 2025; 3: 11–8. DOI: 10.29296/24999490-2025-03-02. [Seliverstov P.V., Shapovalov V.V., Kravchuk Yu.A., Salikova S.P., Shavaeva F.V., Isaeva P.A., Salmanova M.M., Arslanbekova R.M. Information technologies based on artificial intelligence in the era of personalized health assessment. Molecular medicine. 2025; 3: 11–8. DOI: 10.29296/24999490-2025-03-02 (in Russian)]

20. Turovskaya M.V., Gaidin S.G., Mal’tseva V.N., Zinchenko V.P., Turovsky E.A. Taxifolin protects neurons against ischemic injury in vitro via the activation of antioxidant systems and signal transduction pathways of GABAergic neurons. Mol Cell Neurosci. 2019; 96: 10–24. DOI: 10.1016/j.mcn.2019.01.005. Epub 2019 Feb 15. PMID: 30776416.

How to cite

Seliverstov P.V., Salikova S.P., Aleshko O.V., Simakhodsky A.S., Shapovalov V.V., Dyakov T.S., Romakh D.V., Roslyakova M.A., Chernyakova V.E., Golikova D.A. (2026). Telemedicine screening and three-year follow-up of stress-associated autonomic dysfunction in students during university adaptation: clinical and digital risk stratification and personalized prevention. Molecular Medicine, 24(1), 10–21. https://doi.org/10.29296/24999490-2026-01-02

Article search and quick navigation

Navigation