Predicting sympathovagal balance using parameters of breathing patterns in abdominal breathing

Andrei Ganenco
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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.
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利用腹式呼吸模式参数预测交感迷走神经平衡
介绍。腹式呼吸作为一种非药物治疗方法用于各种压力相关疾病和自主神经功能障碍。本研究的目的是利用在腹部呼吸模型中记录的呼吸模式参数,通过心率变异性的低频功率与高频功率的比值来确定交感迷走神经平衡调节的预测因素。材料和方法。这项研究涉及101名健康受试者,他们的呼吸模式用呼吸诱导容积描记仪记录下来。通过心电图估计心脏活动,然后分析静息和腹式呼吸时的心率变异性。记录受试者在静息呼吸和腹式呼吸时的8个呼吸模式参数,推测为心率变异性低频功率与高频功率之比的预测因子。为静息呼吸和腹式呼吸两种类型的这一比率创建了单独的预测模型。结果。多元线性回归分析显示,在练习腹式呼吸的个体中,低频频谱功率与高频频谱功率之比表明,确定交感神经和副交感神经对心脏影响平衡的预测能力最高的主要预测因子是潮气量(未标准化系数= 5.007)。其次是呼气持续时间(系数= -3.831)和呼吸分钟量(系数= 4.415),这两个数据都是在静息呼吸时记录的。在腹式呼吸模型中,发现最有效的预测因子是与时间相关的参数,特别是腹式呼吸时的呼吸频率(系数= -5.953)、吸气期的持续时间(系数= -4.037)和呼气期的持续时间(系数= -4.194)。结论。腹式呼吸有可能通过调节吸气或呼气的持续时间来使交感迷走神经平衡正常化。应进一步研究呼吸模式参数在恢复低频与高频(LF/HF)比率方面的实际应用,特别是在交感迷走神经平衡升高为特征的疾病中。
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