Department of Medicine, Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, Ontario, Canada.
Department of Engineering, McMaster School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada.
Am J Physiol Regul Integr Comp Physiol. 2023 Apr 1;324(4):R446-R456. doi: 10.1152/ajpregu.00272.2022. Epub 2023 Jan 30.
Deep breathing exercises are the second most used complementary health approach in the United States. Two heart rate variability (HRV) parameters, the root mean square of successive differences (RMSSD) and the respiratory sinus arrhythmia (RSA), are used to assess parasympathetic reactivity to deep breathing, but they are often not in agreement. Our purpose was to determine the cause of the disagreement. We investigated HRV parameters in 38 subjects during baseline, deep breathing, and recovery. Here we show that RMSSD as a measure of parasympathetic reactivity is unreliable; it does not reflect the increase in HRV during deep breathing as determined by RSA. We observed a decrease in RMSSD values despite a marked increase in HRV as determined by RSA and the standard deviation of normal heartbeat interval (SDNN) in healthy subjects and patients with functional bowel disorders. We show that RSA captures all aspects of HRV, whereas successive differences in heart rate intervals are only a small part of HRV, with decreasing variability during deep breathing in most subjects. We present a new measure of calculating RSA during deep breathing that may become an essential tool for researchers and clinicians. We also provide a unique visualization of the increased heart rate variability during deep breathing. Hence, RMSSD cannot be used to assess parasympathetic reactivity during deep breathing; using RSA is recommended. The use of RMSSD in previous influential studies may have led to erroneous conclusions about parasympathetic reactivity during deep breathing. Its continued use may undervalue the effects of the autonomic nervous system in slow deep breathing.
深呼吸练习是美国第二大常用的补充健康方法。两个心率变异性 (HRV) 参数,即连续差值的均方根 (RMSSD) 和呼吸窦性心律失常 (RSA),用于评估深呼吸时副交感神经反应性,但它们通常不一致。我们的目的是确定不一致的原因。我们在基线、深呼吸和恢复期间调查了 38 名受试者的 HRV 参数。在这里,我们表明 RMSSD 作为副交感神经反应性的衡量标准是不可靠的;它不能反映 RSA 确定的深呼吸时 HRV 的增加。我们观察到 RMSSD 值下降,尽管 RSA 和正常心跳间隔标准差 (SDNN) 确定的 HRV 明显增加,以及健康受试者和功能性肠紊乱患者的 RMSSD 值下降。我们表明 RSA 捕捉了 HRV 的所有方面,而心率间隔的连续差异只是 HRV 的一小部分,在大多数受试者中,在深呼吸期间的可变性降低。我们提出了一种新的计算深呼吸期间 RSA 的方法,它可能成为研究人员和临床医生的重要工具。我们还提供了一种独特的可视化方式,可以显示深呼吸期间心率变异性的增加。因此,RMSSD 不能用于评估深呼吸时的副交感神经反应性;建议使用 RSA。RMSSD 在以前有影响力的研究中的使用可能导致了关于深呼吸时副交感神经反应性的错误结论。它的继续使用可能低估了自主神经系统在缓慢深呼吸中的作用。