Issue 25-2, 2026
Review
Heart Rate Variability in Stress Assessment and Autonomic Regulation: Current State of the Art, Clinical Applications and Outlook. A Literature Review
Yuri A. Lykov,
Anna A. Kuzyukova*,
Larisa A. Marchenkova,
Yury N. Korolev,
Elena A. Rozhkova,
Natalia N. Zubareva
National Medical Research Center for Rehabilitation and Balneology, Moscow, Russia
ABSTRACT
INTRODUCTION. Heart rate variability (HRV) is a noninvasive physiological marker reflecting autonomic regulation and the balance between sympathetic and parasympathetic influences. HRV is increasingly being used to assess acute and chronic stress, as well as in the diagnosis of anxiety and depressive disorders, suicidal risk and for some neurological diseases.
AIM. To analyze modern ideas about HRV as an objective marker of stressful conditions and autonomous regulation, evaluate its diagnostic capabilities for mental and neurological disorders, as well as identify methodological limitations and prospects for clinical application.
MATERIALS AND METHODS. A literature review was conducted using PubMed, Medline, Scopus, Web of Science and eLIBRARY.RU databases, covering publications from 2015 to 2025. The search terms that were used included heart rate variability, HRV, stress, autonomic nervous system, anxiety, depression, suicidal behavior, neurological diseases, and wearable devices.
MAIN CONTENT OF THE REVIEW. Data on physiological mechanisms of HRV formation, recording techniques, and analysis of time-domain, frequency-domain, and nonlinear parameters were summarized. The most reproducible feature of stress-related dysregulation is reduced indices reflecting vagal modulation of heart rate. Decreased HRV has been observed in individuals with anxiety and depressive disorders, suicidal tendencies, epilepsy, Parkinson’s disease, traumatic brain injury and other neurological conditions. It is also associated with an adverse prognosis. However, HRV is not a specific marker of sympathetic activity or stress level and is strongly influenced by recording conditions, respiration, age, medication, and comorbidity.
CONCLUSION. HRV is an informative indicator of autonomic regulation and stress-related alterations; however, its clinical interpretation requires consideration of methodological constraints and integration into comprehensive, personalized assessment models.
KEYWORDS: heart rate variability, stress, autonomic regulation, autonomic dysregulation, anxiety disorders, depressive disorders, suicidality, neurological diseases, wearable devices
FOR CITATION: Lykov Yu.A., Kuzyukova A.A., MarchenkovaL.A., Korolev Yu.N., Rozhkova E.A., Zubareva N.N. Heart Rate Variability in Stress Assessment and Autonomic Regulation: Current State of the Art, Clinical Applications and Outlook. A Literature Review. Bulletin of Rehabilitation Medicine. 2026; 25(2):63–76. https://doi.org/10.38025/2078-1962-2026-25-2-63-76 (In Russ.).
FOR CORRESPONDENCE:
Anna A. Kuzyukova, E-mail: kuzyukovaaa@nmicrk.ru, anna_kuzyukova@mail.ru
References:
- Эбзеева Е.Ю., Полякова О.А. Стресс и стресс-индуцированные расстройства. Медицинский совет. 2022; 16(2): 127–133. https://doi.org/10.21518/2079-701X-2022-16-2-127-133 [Ebzeeva E.Y., Polyakova O.A. Stress and stress-induced disorders. Meditsinskiy sovet = Medical Council. 2022; 16(2): 127–133. https://doi.org/10.21518/2079-701X-2022-16-2-127-133 (In Russ.).]
- Есин Р.Г., Есин О.Р., Хакимова А.Р. Стресс-индуцированные расстройства. Журнал неврологии и психиатрии им. С.С. Корсакова. 2020; 120(5): 131–137. https://doi.org/10.17116/jnevro2020120051131 [Esin R.G., Esin O.R., Khakimova A.R. Stress-induced disorders. S.S. Korsakov Journal of Neurology and Psychiatry. 2020; 120(5): 131–137. https://doi.org/10.17116/jnevro2020120051131 (In Russ.).]
- Толоконин А.О. Модели патогенеза психосоматических расстройств и концепция психосоматического сценария. Медицинский вестник Юга России. 2023; 14(2): 61–66 [Tolokonin A.O. Models of pathogenesis of psychosomatic disorders and the concept of a psychosomatic scenario. Medicinskiy vestnik Yuga Rossii = Medical Herald of the South of Russia. 2023; 14(2): 61–66 (In Russ.).]
- Lehmann M., Janis Pohnotsch N., Zimmermann T., et al. Estimated frequency of somatic symptom disorder in general practice: cross-sectional survey with general practitioners. BMC Psychiatry. 2022; 22: 632. https://doi.org/10.1186/s12888-022-04100-0
- Beutel M.E., Wiltink J., Ghaemi Kerahrodi J., et al. Somatic symptom load in men and women from middle to high age in the Gutenberg Health Study association with psychosocial and somatic factors. Sci Rep. 2019; 9: 4610. https://doi.org/10.1038/s41598-019-40709-0
- Вербенко В.А., Двирский А.А., Солдатенко А.А. Психосоматические особенности тревожных и депрессивных расстройств. Врач. 2025; 2: 5–12. https://doi.org/10.29296/25877305-2025-02-01 [Verbenko V.A., Dvirskiy A.A., Soldatenko A.A. Psychosomatic features of anxiety and depressive disorders. Vrach. 2025; 2: 5–12. https://doi.org/10.29296/25877305-2025-02-01 (In Russ.).]
- Wu Q., Miao X., Cao Y., et al. Heart rate variability status at rest in adult depressed patients: a systematic review and meta-analysis. Front Public Health. 2023; 11: 1243213. https://doi.org/10.3389/fpubh.2023.1243213
- Shaffer F., Ginsberg J.P. An overview of heart rate variability metrics and norms. Front Psychol. 2017; 8: 258. https://doi.org/10.3389/fpubh.2017.00258
- Immanuel S., Teferra M.N., Baumert M., et al. Heart rate variability for evaluating psychological stress changes in healthy adults: a scoping review. Neuropsychobiology. 2023; 82(4): 187–202. https://doi.org/10.1159/000530376
- Pulopulos M.M., Vanderhasselt M.A., De Raedt R. Association between changes in heart rate variability during the anticipation of a stressful situation and the stress-induced cortisol response. Psychoneuroendocrinology. 2018; 94: 63–71. https://doi.org/10.1016/j.psyneuen.2018.05.004
- Liu S., Cui Y., Chen M. Heart rate variability: a multidimensional perspective from physiological marker to brain-heart axis disorders prediction. Front Cardiovasc Med. 2025; 12: 1630668. https://doi.org/10.3389/fcvm.2025.1630668
- Brinza C., Floria M., Covic A., et al. Measuring heart rate variability in patients admitted with ST-elevation myocardial infarction for the prediction of subsequent cardiovascular events: a systematic review. Medicina (Kaunas). 2021; 57(10): 1021. https://doi.org/10.3390/medicina57101021
- Grossman P. Respiratory sinus arrhythmia (RSA), vagal tone and biobehavioral integration: beyond parasympathetic function. Biol Psychol. 2024; 186: 108739. https://doi.org/10.1016/j.biopsycho.2023.108739
- Mandarano P., Ossola P., Castiglioni P., et al. Heart rate fractality disruption as a footprint of subthreshold depressive symptoms in a healthy population. Clin Neuropsychiatry. 2022; 19(3): 163–173. https://doi.org/10.36131/cnfioritieditore20220305
- Sammito S., Thielmann B., Klussmann A., et al. Guideline for the application of heart rate and heart rate variability in occupational medicine and occupational health science. J Occup Med Toxicol. 2024; 19: 15. https://doi.org/10.1186/s12995-024-00414-9
- Kim K.B., Baek H.J. Photoplethysmography in wearable devices: a comprehensive review of technological advances, current challenges, and future directions. Electronics (Basel). 2023; 12(13): 2923. https://doi.org/10.3390/electronics12132923
- Pinge A., Gad V., Jaishghani D., et al. Detection and monitoring of stress using wearables: a systematic review. Front Comput Sci. 2024; 6: 1478851. https://doi.org/10.3389/fcomp.2024.1478851
- Besson C., Baggish A.L., Monteventi P., et al. Assessing the clinical reliability of short-term heart rate variability: insights from controlled dual-environment and dual-position measurements. Sci Rep. 2025; 15: 5611. https://doi.org/10.1038/s41598-025-89892-3
- Vos G., Trinh K., Sarnyai Z., et al. Generalizable machine learning for stress monitoring from wearable devices: a systematic literature review. Int J Med Inform. 2023; 173: 105026. https://doi.org/10.1016/j.ijmedinf.2023.105026
- Gospodinova E., Lebamovski P., Georgieva-Tsaneva G., et al. Evaluation of the methods for nonlinear analysis of heart rate variability. Fractal Fract. 2023; 7(5): 388. https://doi.org/10.3390/fractalfract7050388
- Zamora-Justo J.A., Campos-Aguilar M., Beas-Jara M.d.C., et al. Utility of nonlinear analysis of heart rate variability in early detection of metabolic syndrome. Front Physiol. 2025; 16: 1597314. https://doi.org/10.3389/fphys.2025.1597314
- Calderón-Juárez M., González-Gómez G.H., Echeverría J.C., et al. Revisiting nonlinearity of heart rate variability in healthy aging. Sci Rep. 2023; 13: 13185. https://doi.org/10.1038/s41598-023-40385-1
- Čukić M., Savić D., Sidorova J. When heart beats differently in depression: review of nonlinear heart rate variability measures. JMIR Ment Health. 2023; 10: e40342. https://doi.org/10.2196/40342
- Sundas A., Contreras I., Navarro-Otano J., et al. Heart rate variability over the decades: a scoping review. PeerJ. 2025; 13: e19347. https://doi.org/10.7717/peerj.19347
- Zhao Y., Chen P., Zhang Y., et al. Heart rate variability and its modulation by nutrients: a narrative review on implications for cardiovascular aging. Front Neurosci. 2025; 19: 1654796. https://doi.org/10.3389/fnins.2025.1654796
- Seipäjärvi S.M., Tuomola A., Juurakko J., et al. Measuring psychosocial stress with heart rate variability-based methods in different health and age groups. Physiol Meas. 2022; 43(5): 055002. https://doi.org/10.1088/1361-6579/ac6b7c
- Birkett M.A. The Trier Social Stress Test protocol for inducing psychological stress. J Vis Exp. 2011;(56):3238. https://doi.org/10.3791/3238
- Zhao H., Cao X., Jing P., et al. Work stress and changes in heart rate variability among employees after first acute coronary syndrome: a hospital-based longitudinal cohort study. Front Public Health. 2024; 12: 1336065. https://doi.org/10.3389/fpubh.2024.1336065
- Hannon J., O’Hagan A., Lambe R., et al. Associations between daily heart rate variability and self-reported wellness: a 14-day observational study in healthy adults. Sensors (Basel). 2025; 25(14): 4415. https://doi.org/10.3390/s25144415
- Liang V., Chin G., Keane J., et al. Heart rate variability as a key physiological marker and its incorporation into modern-day technologies: a literature review. Int J Clin Rep Stud. 2025; 4(3). https://doi.org/10.31579/2835-8295/126
- Chalmers J.A., Quintana D.S., Abbott M.J., et al. Anxiety disorders are associated with reduced heart rate variability: a meta-analysis. Front Psychiatry. 2014; 5: 80. https://doi.org/10.3389/fpsyt.2014.00080
- Thayer J.F., Åhs F., Fredrikson M., et al. A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. Neurosci Biobehav Rev. 2012; 36(2): 747–756. https://doi.org/10.1016/j.neubiorev.2011.11.009
- Goffi F., Maggioni E., Bianchi A.M., et al. Is cardiac autonomic control affected in major depressive disorder? A systematic review of heart rate variability studies. Transl Psychiatry. 2025; 15: 217. https://doi.org/10.1038/s41398-025-03430-3
- Liu W., Wang S., Gu H., et al. Heart rate variability, a potential assessment tool for identifying anxiety, depression, and sleep disorders in elderly individuals. Front Psychiatry. 2025; 16: 1485183. https://doi.org/10.3389/fpsyt.2025.1485183
- Vann-Adibe S., Tsui H.K.H., Zhou H.Q., et al. Efficacy and methodology of remote heart rate variability biofeedback interventions for mental health: a systematic review and meta-analysis. Appl Psychophysiol Biofeedback. 2025. Published online November 27, 2025. https://doi.org/10.1007/s10484-025-09750-w
- Goessl V.C., Curtiss J.E., Hofmann S.G. The effect of heart rate variability biofeedback training on stress and anxiety: a meta-analysis. Psychol Med. 2017; 47(15): 2578–2586. https://doi.org/10.1017/S0033291717001003
- Костенко Е.В., Котельникова А.В., Погонченкова И.В. и др. Психофизиологические технологии с применением метода биологической обратной связи: аналитический обзор. Вестник восстановительной медицины. 2024; 23(3):77-91. https://doi.org/10.38025/2078-1962-2024-23-3-77-91 [Kostenko E.V., Kotelnikova A.V., Pogonchenkova I.V., at al. Psychophysiological Technologies Using the Biofeedback Method: an Analytical Review. Bulletin of Rehabilitation Medicine. 2024; 23(3):77-91. https://doi.org/10.38025/2078-1962-2024-23-3-77-91 (In Russ.).]
- Tan Y., Zhou M., Wang J., et al. Heart rate variability in subthreshold depression and major depressive disorder. J Affect Disord. 2025; 373: 306–313. https://doi.org/10.1016/j.jad.2025.01.003
- Carney R.M., Freedland K.E. Depression and heart rate variability in patients with coronary heart disease. Cleve Clin J Med. 2009; 76(Suppl 2): S13–S17. https://doi.org/10.3949/ccjm.76.s2.03
- Kleiger R.E., Stein P.K., Bigger J.T. Jr. Heart rate variability: measurement and clinical utility. Ann Noninvasive Electrocardiol. 2005; 10(1): 88–101. https://doi.org/10.1111/j.1542-474X.2005.10101.x
- Laborde S., Mosley E., Thayer J.F. Heart rate variability and cardiac vagal tone in psychophysiological research: recommendations for experiment planning, data analysis, and data reporting. Front Psychol. 2017; 8: 213. https://doi.org/10.3389/fpsyg.2017.00213
- Wang Z., Zou Y., Liu J., et al. Heart rate variability in mental disorders: an umbrella review of meta-analyses. Transl Psychiatry. 2025; 15: 104. https://doi.org/10.1038/s41398-025-03339-x
- Choi K.W., Jeon H.J. Heart rate variability for the prediction of treatment response in major depressive disorder. Front Psychiatry. 2020; 11: 607. https://doi.org/10.3389/fpsyt.2020.00607
- Sheridan D.C., Baker S., DeHart R., et al. Heart rate variability and its ability to detect worsening suicidality in adolescents: a pilot trial of wearable technology. Psychiatry Investig. 2021; 18(10): 928–935. https://doi.org/10.30773/pi.2021.0057
- van Heeringen K., Mann J.J. The neurobiology of suicide. Lancet Psychiatry. 2014; 1(1): 63–72. https://doi.org/10.1016/S2215-0366(14)70220-2
- Omlor S., Scherbaum N., Höller I., et al. Heart rate variability and suicidal thoughts and behaviour: study protocol for a systematic review. Syst Rev. 2025; 15: 193. https://doi.org/10.1186/s13643-025-02954-5
- Lee D., Baek J.H., Cho Y.J., et al. Association of resting heart rate and heart rate variability with proximal suicidal risk in patients with diverse psychiatric diagnoses. Front Psychiatry. 2021; 12: 652340. https://doi.org/10.3389/fpsyt.2021.652340
- Evangelista G., Dono F., Consoli S., et al. Heart rate variability modification as a predictive factor of sudden unexpected death in epilepsy: how far are we? A systematic review and meta-analysis. Eur J Neurol. 2023; 30(7): 2122–2131. https://doi.org/10.1111/ene.15792
- Dono F., Evangelista G., Frazzini V., et al. Interictal heart rate variability analysis reveals lateralization of cardiac autonomic control in temporal lobe epilepsy. Front Neurol. 2020; 11: 842. https://doi.org/10.3389/fneur.2020.00842
- Heimrich K.G., Lehmann T., Schlattmann P., et al. Heart rate variability analyses in Parkinson’s disease: a systematic review and meta-analysis. Brain Sci. 2021; 11(8): 959. https://doi.org/10.3390/brainsci11080959
- Pinto S.M., Wright B., Annaswamy S., et al. Heart rate variability (HRV) after traumatic brain injury (TBI): a scoping review. Brain Inj. 2024. https://doi.org/10.1080/02699052.2024.2328310
- Aftyka J., Staszewski J., Dębiec A., et al. Heart rate variability as a predictor of stroke course, functional outcome, and medical complications: a systematic review. Front Physiol. 2023; 14: 1115164. https://doi.org/10.3389/fphys.2023.1115164
- Brozat M., Böckelmann I., Sammito S. Systematic review on heart rate variability reference values. J Cardiovasc Dev Dis. 2025; 12(6): 214. https://doi.org/10.3390/jcdd12060214
- Shaffer F., Meehan Z.M., Zerr C.L. A critical review of ultra-short-term heart rate variability norms research. Front Neurosci. 2020; 14: 594880. https://doi.org/10.3389/fnins.2020.594880
- Sammito S., Thielmann B., Böckelmann I. Update: factors influencing heart rate variability a narrative review. Front Physiol. 2024; 15: 1430458. https://doi.org/10.3389/fphys.2024.1430458
- Damoun N., Amekran Y., Taiek N., et al. Heart rate variability measurement and influencing factors: towards the standardization of methodology. Glob Cardiol Sci Pract. 2024; 2024(4): e202435. https://doi.org/10.21542/gcsp.2024.35
- Abd-Alrazaq A., AlSaad R., Shuweihdi F., et al. Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression. npj Digit Med. 2023; 6: 84. https://doi.org/10.1038/s41746-023-00828-5
- Baigutanova A., Park S., Constantinides M., et al. A continuous real-world dataset comprising wearable-based heart rate variability alongside sleep diaries. Sci Data. 2025; 12: 1474. https://doi.org/10.1038/s41597-025-05801-3
- Li K., Cardoso C., Moctezuma-Ramirez A., et al. 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. https://doi.org/10.3390/ijerph20247146
- Bahameish M., Stockman T., Requena Carrión J. Strategies for reliable stress recognition: a machine learning approach using heart rate variability features. Sensors (Basel). 2024; 24(10): 3210. https://doi.org/10.3390/s24103210
- Hicks J.L., Althoff T., Sosic R., et al. Best practices for analyzing large-scale health data from wearables and smartphone apps. npj Digit Med. 2019; 2: 45. https://doi.org/10.1038/s41746-019-0121-1
The content is available under the Creative Commons Attribution 4.0 License.
©
This is an open article under the CC BY 4.0 license. Published by the National Medical Research Center for Rehabilitation and Balneology.

