Department of Health Science, Ribeirão Preto Medical School of University of São Paulo, São Paulo, Brazil.
Vasc Health Risk Manag. 2021 Nov 13;17:701-711. doi: 10.2147/VHRM.S279322. eCollection 2021.
Fluctuation analysis in intervals between heartbeats provides important indices related to autonomic modulation of heart rate variability (HRV). These indices are considered predictors of morbidity and mortality as they are frequently altered in patients with chronic degenerative diseases, especially in those with cardiovascular and metabolic diseases. Similarly, a reduction in HRV is common with aging. In all cases, cardiovascular fitness is often reduced to below the predicted values. In turn, increases in cardiovascular fitness through regular physical exercise, especially aerobic exercise, represent an important therapeutic tool capable of promoting positive adjustments in cardiac autonomic modulation. These adjustments are characterized by reduced sympathetic modulatory influence and/or increased vagal modulatory influence on the heart, increasing the HRV. Therefore, several methodological tools have been used to assess the degree of impairment of autonomic modulation and the therapeutic effects of physical exercise. In contrast, establishment of strict protocols in experimental design is a main challenge in establishing HRV analysis as a robust parameter for evaluating cardiovascular homeostasis. Thus, this review aimed to contribute to the understanding of autonomic modulation of HRV and its relationship with cardiovascular fitness, highlighting the advances made thus far, the applicability of analysis tools, and the confounding factors observed frequently.
心跳间期波动分析提供了与心率变异性(HRV)自主调节相关的重要指标。这些指标被认为是发病率和死亡率的预测因子,因为它们在患有慢性退行性疾病的患者中经常发生改变,尤其是患有心血管和代谢疾病的患者。同样,随着年龄的增长,HRV 会普遍降低。在所有情况下,心血管健康状况通常都低于预测值。相反,通过定期体育锻炼,特别是有氧运动,增加心血管健康状况是一种重要的治疗手段,能够促进心脏自主调节的积极调整。这些调整的特点是交感神经调节影响降低和/或迷走神经调节影响增加,从而增加 HRV。因此,已经使用了几种方法学工具来评估自主调节受损程度和体育锻炼的治疗效果。相比之下,在实验设计中建立严格的方案是将 HRV 分析确立为评估心血管稳态的稳健参数的主要挑战。因此,本综述旨在帮助理解 HRV 的自主调节及其与心血管健康的关系,强调迄今为止的进展、分析工具的适用性以及经常观察到的混杂因素。