dc.contributor.author |
Ganenco, Andrei |
|
dc.date.accessioned |
2023-11-15T08:51:29Z |
|
dc.date.available |
2023-11-15T08:51:29Z |
|
dc.date.issued |
2023 |
|
dc.identifier.citation |
GANENCO, Andrei. Predicting sympathovagal balance using parameters of breathing patterns in abdominal breathing. In: Revista de Științe ale Sănătății din Moldova = Moldovan Journal of Health Sciences. 2023, vol. 10(3), pp. 11-17. ISSN 2345-1467. https://doi.org/10.52645/MJHS.2023.3.02 |
en_US |
dc.identifier.issn |
2345-1467 |
|
dc.identifier.uri |
https://cercetare.usmf.md/sites/default/files/inline-files/MJHS_10_3_2023.pdf |
|
dc.identifier.uri |
http://repository.usmf.md/handle/20.500.12710/26357 |
|
dc.identifier.uri |
https://doi.org/10.52645/MJHS.2023.3.02 |
|
dc.description.abstract |
Abstract. Introduction. Abdominal breathing is utilized as a non-pharmacological treatment method for various stress-related conditions and autonomic dysfunctions. The objective of the study was to determine the predictors in the modulation of sympathovagal balance, as indicated by the ratio of low frequency to high frequency power of heart rate variability, by utilizing
the respiratory pattern parameters recorded during the abdominal breathing model.
Material and methods. The study involved a group of 101 healthy subjects, where the breathing pattern was recorded using a respiratory induction plethysmograph. Heart activity was estimated through electrocardiography, followed by heart
rate variability analysis during both resting and abdominal breathing. Eight parameters of the breathing pattern were
recorded in the subjects during resting breathing and abdominal breathing, presumed to be predictors of the ratio of low
frequency to high frequency power of heart rate variability. Separate predictive models were created for this ratio for both
the resting and abdominal breathing types.
Results. The multilinear regression analysis revealed that the primary predictor with the highest predictive power for
determining the balance between sympathetic and parasympathetic cardiac influence, as indicated by the low frequency
spectral power to high frequency spectral power ratio, in individuals practicing abdominal breathing is Tidal Volume (unstandardized coefficient = 5.007). This was followed by the duration of expiration (coefficient = -3.831) and respiratory
minute-volume (coefficient = 4.415), both of which were recorded during resting breathing. In the abdominal breathing
model, the most effective predictors were found to be time-related parameters, specifically the frequency of breathing
during abdominal breathing (coefficient = -5.953), the duration of the inspiratory phase (coefficient = -4.037), and the
duration of the expiration phase (coefficient = -4.194).
Conclusions. Abdominal breathing has the potential to normalize sympathovagal balance by adjusting the duration of
inspiration or expiration. Further studies should be conducted to investigate the practical application of breathing pattern
parameters in restoring the low frequency to high frequency (LF/HF) ratio, particularly in disorders characterized by elevated sympathovagal balance. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Instituţia Publică Universitatea de Stat de Medicină şi Farmacie „Nicolae Testemiţanu” din Republica Moldova |
en_US |
dc.relation.ispartof |
Revista de Științe ale Sănătății din Moldova = Moldovan Journal of Health Sciences |
en_US |
dc.subject |
abdominal breathing |
en_US |
dc.subject |
LF/HF ratio |
en_US |
dc.subject |
predictors |
en_US |
dc.subject |
breathing pattern |
en_US |
dc.subject.ddc |
UDC: 612.2:612.172.2 |
en_US |
dc.title |
Predicting sympathovagal balance using parameters of breathing patterns in abdominal breathing |
en_US |
dc.type |
Article |
en_US |