Intra-shift and Inter-shift Dynamics of Stress Index of Regulatory Systems in Medical Personnel of Mobile Emergency Medical Teams in Modern Conditions

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Abstract

INTRODUCTION: In conditions of spread of the new coronavirus infection SARS-CoV-2 (COVID-19), the work regimen and working conditions of the mobile emergency medical teams have changed, the range of occupational hazards has expanded, which led to unfavorable alterations in the functional state of the nervous system of workers.

AIM: To study the influence of the professional activity on the functional state of an organism of medical workers of mobile emergency medical teams in conditions of COVID-19 pandemic.

MATERIALS AND METHODS: Parameters of the functional state of an organism of medical workers of mobile emergency medical teams were studied before, after the work and between shifts in the period from May to October 2021. The extent of centralization of the heart rhythm control was evaluated by use of strain index (SI) of regulatory systems. The sample included 67 workers of mobile teams (21 men and 46 women), 16 doctors and 51 paramedics. The average age of workers participating in the study was 36.28 ± 2.82 years.

RESULTS: By the end of shift, in more than half the medical workers of mobile EMT, SI grew by 74.75 units (p = 0,021). The age (÷2 = 6.467; р = 0.040) and length of service (÷2 = 6.069; р = 0.049) influenced the distribution of workers with different SI dynamics on the basis of the results of the work shift. By the beginning of the next shift, in 60.71% of workers included into the study, a significant increase in SI was recorded on average by 74.02 (р = 0.001) compared to the beginning of the previous shift. The influence of length of service on the distribution of workers with different dynamics of SI in the successive shifts into groups was recorded (÷2 = 7.313; р = 0.026).

CONCLUSIONS: The dynamics of the growth of the strain index of regulatory systems indicates low effectiveness of recovery of the functional state of an organism of workers in the period of scheduled rest. The greatest influence on the growth of parameters was exerted by length of service, which indicates the negative impact of working conditions on the functional state of an organism of workers.

About the authors

Tatyana A. Bolobonkina

Ryazan State Medical University

Author for correspondence.
Email: bolobonkina@bk.ru
ORCID iD: 0000-0003-1796-6023
SPIN-code: 2251-0350
Russian Federation, Ryazan

Aleksey A. Dement’yev

Ryazan State Medical University

Email: dementiev_a@mail.ru
ORCID iD: 0000-0003-3038-5530
SPIN-code: 3797-9108

MD, Dr. Sci. (Med.), Associate Professor

Russian Federation, Ryazan

Natalya V. Minaeva

Ryazan State Medical University

Email: shatrnat@gmail.com
ORCID iD: 0000-0003-0599-924X
SPIN-code: 2965-2704

MD, Cand. Sci. (Med.)

Russian Federation, Ryazan

Mihail M. Lapkin

Ryazan State Medical University

Email: m.lapkin@rzgmu.ru
ORCID iD: 0000-0003-1826-8307
SPIN-code: 5744-5369

MD, Dr. Sci. (Med.), Professor

Russian Federation, Ryazan

Pavel A. Kulagin

Ryazan State Medical University

Email: zu.pavel@gmail.com
ORCID iD: 0000-0002-5284-0875
SPIN-code: 3623-3309
Russian Federation, Ryazan

References

  1. Dekker JM, Crow RS, Folsom AR, et al. Low heart rate variability in a 2-minute rhythm strip predicts risk of coronary heart disease and mortality from several causes: the ARIC Study. Atherosclerosis Risk In Communities. Circulation. 2000;102(11):1239–44. doi: 10.1161/01.cir.102.11.12397
  2. Bolobonkina TA, Dementyev AA, Shatrova NV, et al. Factors of biological nature in work of mobile teams of emergency medical care station on the eve of pandemics of new coronavirus infection (COVID-19). I.P. Pavlov Russian Medical Biological Herald. 2020;28(3):283–9. (In Russ). doi: 10.23888/PAVLOVJ2020283283-289
  3. Bolobonkina TA, Dementiev AA, Shatrova NV, et al. Influence of work under the conditions of the COVID-19 pandemic on the functional state of the central nervous system of medical workers of the emergency station. Journal of New Medical Technologies, e-Edition. 2020;(6):81–6. Available at: http://www.medtsu.tula.ru/VNMT/Bulletin/E2020-6/2-1.pdf. (In Russ). doi: 10.24411/2075-4094-2020-16744
  4. Kwon J–W, Lee S–B, Sung S, et al. Which Factors Affect the Stress of Intraoperative Orthopedic Surgeons by Using Electroencephalography Signals and Heart Rate Variability? Sensors. 2021;21(12):4016. doi: 10.3390/s21124016
  5. Stapelberg NJ, Hamilton-Craig I, et al. Mind and heart: heart rate variability in major depressive disorder and coronary heart disease — a review and recommendations. The Australian and New Zealand Journal of Psychiatry. 2012;46(10):946–57. doi: 10.1177/0004867412444624
  6. Sammito S, Böckelmann I. Analyse der Herzfrequenzvariabilität. Herz. 2015;40(Suppl 1):76–84. doi: 10.1007/s00059-014-4145-7
  7. Järvelin–Pasanen S, Sinikallio S, Tarvainen MP. Heart rate variability and occupational stress-systematic review. Industrial Health. 2018;56(6): 500–11. doi: 10.2486/indhealth.2017-0190
  8. Nazarenko MA, Gubin DG, Durov AM, et al. The daily dynamics of heart rate variability in women engaged in regular work schedules versus shift-workers. Tyumen Medical Journal. 2018;20(3):16–22. (In Russ).
  9. Baevsky RM, Chernikova AG. Heart Rate Variability Analysis: Physiological Foundations and Main Methods. Cardiometry. 2017;(10):66–76. doi: 10.12710/cardiometry.2017.10.6676
  10. Voss A, Heitmann A, Schroeder R, et al. Short-term heart rate variability — age dependence in healthy subjects. Physiological Measurement. 2012;33(8):1289–311. doi: 10.1088/0967-3334/33/8/1289
  11. Thielmann B, Pohl R, Böckelmann I. Heart rate variability as a strain indicator for psychological stress for emergency physicians during work and alert intervention: a systematic review. Journal of Occupational Medicine and Toxicology. 2021;16(1):24. doi: 10.1186/s12995-021-00313-3
  12. Jarczok MN, Koenig J, Wittling A, et al. First Evaluation of an Index of Low Vagally-Mediated Heart Rate Variability as a Marker of Health Risks in Human Adults: Proof of Concept. Journal of Clinical Medicine. 2019;8(11):1940. doi: 10.3390/jcm8111940
  13. Schöniger C, Pyrc J, Siepmann M, et al. Continuous HRV analysis of HEMS emergency physicians to specify the work load over the different working days. International Archives of Occupational and Environmental Health. 2020;93(4):525–33. doi: 10.1007/s00420-019-01507-3
  14. Borchini R, Veronesi G, Bonzini M, et al. Heart Rate Variability Frequency Domain Alterations among Healthy Nurses Exposed to Prolonged Work Stress. International Journal of Environmental Research and Public Health. 2018;15(1):113. doi: 10.3390/ijerph15010113
  15. Cauwenberghs N, Cornelissen V, Christle JW, et al. Impact of age, sex and heart rate variability on the acute cardiovascular response to isometric handgrip exercise. Journal of Human Hypertension. 2021;35(1):55–64. doi: 10.1038/s41371-020-0311-y

Copyright (c) 2022 Bolobonkina T.A., Dement’yev A.A., Minaeva N.V., Lapkin M.M., Kulagin P.A.

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