Preview

Regional blood circulation and microcirculation

Advanced search

Stability of Parameters of Daily Heart Rate Variability as a Pattern of the Functional State of Unmodifiable Factors of its Formation

https://doi.org/10.24884/1682-6655-2025-24-2-35-42

Abstract

Introduction. Heart rate variability (HRV) due to rhythmically occurring processes exhibits stable cyclical fluctuations, which are now widely recorded in long-term heart rate monitoring technologies. It seems interesting whether it is possible to use HRV data obtained by Holter monitoring (HM) of ECG to assess the non-modifiable individual state of cardiac reactivity. Aim. Search for evidence of the presence, under standard conditions of human behavior, of a stable pattern of heart rate variability throughout the day, caused by a set of stable reflections, individually formed during the process of ontogenesis. Materials and methods. The study included 20 practically healthy male subjects of a semi-closed group aged 18–19 years, who underwent daily HM ECG. The subjects were divided into 2 groups with the same average heart rate (HR) per day (n=10): group 1 – subjects with high HRV and group 2 – subjects with low HRV. The studied HRV parameters were analyzed twice with an interval of 4 years between studies. Results. Despite similar 24-hour mean RR interval values between groups, significant differences in HRV parameters persisted both at baseline and study end. HRV indices (SDNN, SDANN, rMSSD, pNN50) remained consistently higher in Group 1 (p < 0.01). Intragroup HRV parameters showed no statistically significant temporal variations: SDNN (p₁=0.06, p₂=0.11),  SDANN (p₁=0.06, p₂=0.17), rMSSD (p₁=0.06, p₂=0.07), and pNN50 (p₁=0.14, p₂=0.09), suggesting the existence of persistent HRV patterns over time. The general study population (n=20) demonstrated significant reduction in total HRV power (p <0.05) during the 50-month observation period, while maintaining stable heart rate values and LF/HF ratio (1.4–1.5, p=0.08). These findings exclude autonomic balance alterations as the cause of HRV decline. Conclusions. The obtained results indicate the existence of a stable HRV pattern along with a decrease in the reactivity of the system over time due to changes in the functional state of the vascular receptor field.

About the Authors

I. I. Novikov
Military Medical Academy
Russian Federation

Novikov Ilya I. – Residency Student in the Specialty «Therapy»

6, Academica Lebedeva str., Saint Petersburg, 194044



V. P. Kitsyshin
Military Medical Academy
Russian Federation

Kitsyshin Viktor P. – Dr. Sci. (Med.), Professor, Academician Molchanov 1st Department and Clinic (Advanced Medical Training Therapy)

6, Academica Lebedeva str., Saint Petersburg, 194044



V. V. Salukhov
Military Medical Academy
Russian Federation

Salukhov Vladimir V. – Dr. Sci. (Med.), Professor, Head, Academician Molchanov 1st Department and Clinic (Advanced Medical Training Therapy)

6, Academica Lebedeva str., Saint Petersburg, 194044



P. V. Surzhikov
Military Medical Academy
Russian Federation

Surzhikov Pavel V., Cand. (PhD) Sc. (Med.), Lecturer, Academician Molchanov 1st Department and Clinic (Advanced Medical Training Therapy)

6, Academica Lebedeva str., Saint Petersburg, 194044



References

1. Tiwari R, Kumar R, Malik S, et al. Analysis of Heart Rate Variability and Implication of Different Factors on Heart Rate Variability. Curr Cardiol Rev. 2021;17(5):e160721189770. https://doi.org/10.2174/1573403X16999201231203854.

2. Novikov I.I., Stepanenko I.A. The effect of regular physical training on heart rate variability in healthy young men. Russian Military Medical Academy Reports. 2022;41(S2):310-312. (In Russ.)

3. Stepanenko IA, Salukhov VV, Kitsyshin VP, et al. Constitutional and neurohumoral features in the premature cardiac contractions diagnostics in healthy individuals of later adolescence. Medline.ru. Russian biomedical journal. 2018;19:705-720. (In Russ.)

4. Mejía-Mejía E, Budidha K, Abay TY, et al. Heart Rate Variability (HRV) and Pulse Rate Variability (PRV) for the Assessment of Autonomic Responses. Front Physiol. 2020;11:779. https://doi.org/10.3389/fphys.2020.00779.

5. Stepanenko I, Novikov I, Mihailidou A, et al. The effect of regular physical training on heart rate variability in healthy male volunteers. European Journal of Preventive Cardiology. 2022;29(1):369-370. https://doi.org/10.1093/eurjpc/zwac056.260.

6. Shaffer F, Meehan ZM. An Undergraduate Program with Heart: Thirty Years of Truman HRV Research. Appl Psychophysiol Biofeedback. 2022;47(4):317–326. https://doi.org/10.1007/s10484-022-09543-5.

7. Taoum A, Bisiaux A, Tilquin F, et al. Validity of UltraShort-Term HRV Analysis Using PPG-A reliminary Study. Sensors (Basel). 2022;22(20):7995. https://doi.org/10.3390/s22207995.

8. Liang D, Wu S, Tang L, et al. Short-Term HRV Analysis Using Nonparametric Sample Entropy for Obstructive Sleep Apnea. Entropy (Basel). 2021;23(3):267. https://doi.org/10.3390/e23030267.

9. Ortega E, Bryan CYX, Christine NSC. The Pulse of Singapore: Short-Term HRV Norms. Appl Psychophysiol Biofeedback. 2024;49(1):55-61. https://doi.org/10.1007/s10484-023-09603-4.

10. Ramachandran H, Butlin M, Quinn B, et al. Comparison of frequency-based techniques for assessment of baroreceptor sensitivity and heart rate variability. Annu Int Conf IEEE Eng Med Biol Soc. 2017:3985-3988. https://doi.org/10.1109/EMBC.2017.8037729.

11. Pinna GD, Maestri R, La Rovere MT. Assessment of baroreflex sensitivity from spontaneous oscillations of blood pressure and heart rate: proven clinical value? Physiol Meas. 2015;36(4):741- 753. https://doi.org/10.1088/0967-3334/36/4/741.

12. Cygankiewicz I, Zareba W. Heart rate variability. Handb Clin Neurol. 2013;117:379-393. https://doi.org/10.1016/B978-0-444-53491-0.00031-6.

13. Kuchmin A.N., Golius O.A., Shustov S.B., Kitsishin V.P. Frequency and nature of cardiac rhythm disturbances according to daily monitoring data in healthy young military personnel. Military Medical Journal. 2010;331(S4):13-19. (In Russ.)

14. Hayano J, Yuda E. Pitfalls of assessment of autonomic function by heart rate variability. J Physiol Anthropol. 2019;38(1):3. https://doi.org/10.1186/s40101-019-0193-2.

15. Hayano J, Yuda E. Assessment of autonomic function by long-term heart rate variability: beyond the classical framework of LF and HF measurements. J Physiol Anthropol. 2021. Nov 30;40(1):21. https://doi.org/10.1186/s40101-021-00272-y.

16. Miki Y, Suzuki Y, Watanabe E, et al. Long-range correlations in amplitude variability of HF and LF components of heart rate variability. Annu Int Conf IEEE Eng Med Biol Soc. 2016:6218-6221. https://doi.org/10.1109/EMBC.2016.7592149.

17. Kumar P, Das AK, Halder S. Statistical heart rate variability analysis for healthy person: Influence of gender and body posture. J Electrocardiol. 2023;79:81-88. https://doi.org/10.1016/j.jelectrocard.2023.03.011.

18. Saboul D, Pialoux V, Hautier C. The breathing effect of the LF/HF ratio in the heart rate variability measurements of athletes. Eur J Sport Sci. 2014;14(1):282-288. https://doi.org/10.1080/17461391.2012.691116.

19. Ma Y, Chang MC, Litrownik D, et al. Day-night patterns in heart rate variability and complexity: differences with age and cardiopulmonary disease. J Clin Sleep Med. 2023;19(5):873-882. https://doi.org/10.5664/jcsm.10434.

20. Miyagi T, Yamazato M, Nakamura T, et al. Power spectral analysis of heart rate variability is useful as a screening tool for detecting sympathetic and parasympathetic nervous dysfunctions in Parkinson’s disease. BMC Neurol. 2022;22(1):339. https://doi.org/10.1186/s12883-022-02872-2.

21. Abry P, Wendt H, Jaffard S, et al. Methodology for multifractal analysis of heart rate variability: from LF/HF ratio to wavelet leaders. Annu Int Conf IEEE Eng Med Biol Soc. 2010:106-109. https://doi.org/10.1109/IEMBS.2010.5626124.

22. Zhang J. Effect of age and sex on heart rate variability in healthy subjects. J Manipulative Physiol Ther. 2007;30(5):374- 349. https://doi.org/10.1016/j.jmpt.2007.04.001.

23. Martinello L, Romão FG, Godoy MF, et al. Study of autonomic modulation by non-linear analysis of heart rate variability in different age groups and analysis of health status, disease and risk of death in dogs. Pol J Vet Sci. 2023;26(4):581- 590. https://doi.org/10.24425/pjvs.2023.148278.

24. Geovanini GR, Vasques ER, de Oliveira Alvim R, et al. Age and Sex Differences in Heart Rate Variability and Vagal Specific Patterns - Baependi Heart Study. Glob Heart. 2020;15(1):71. https://doi.org/10.5334/gh.873.

25. Kumral D, Schaare HL, Beyer F, et al. The age-dependent relationship between resting heart rate variability and functional brain connectivity. Neuroimage. 2019;185:521-533. https://doi.org/10.1016/j.neuroimage.2018.10.027.

26. Surzhikov PV, Kitsishin VP, Varavin NA, Novikov II. Functional and laboratory diagnostics of age-related angiopathy. Modern problems of science and education. 2024;4:97. https://doi.org/10.17513/spno.33573. (In Russ.)

27. Parashar R, Amir M, Pakhare A, et al. Age Related Changes in Autonomic Functions. J Clin Diagn Res. 2016;10(3): CC11-5. https://doi.org/10.7860/JCDR/2016/16889.7497.


Review

For citations:


Novikov I.I., Kitsyshin V.P., Salukhov V.V., Surzhikov P.V. Stability of Parameters of Daily Heart Rate Variability as a Pattern of the Functional State of Unmodifiable Factors of its Formation. Regional blood circulation and microcirculation. 2025;24(2):35-42. (In Russ.) https://doi.org/10.24884/1682-6655-2025-24-2-35-42

Views: 100


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1682-6655 (Print)
ISSN 2712-9756 (Online)