Goedhart Annebet D, van der Sluis Sophie, Houtveen Jan H, Willemsen Gonneke, de Geus Eco J C
Department of Biological Psychology, Vrije Universiteit Amsterdam, The Netherlands.
Psychophysiology. 2007 Mar;44(2):203-15. doi: 10.1111/j.1469-8986.2006.00490.x.
The extent to which various measures of ambulatory respiratory sinus arrhythmia (RSA) capture the same information across conditions in different subjects remains unclear. In this study the root mean square of successive differences (RMSSD), peak valley RSA (pvRSA), and high frequency power (HF power) were assessed during ambulatory recording in 84 subjects, of which 64 were retested after about 3 years. We used covariance structure modeling to test the equality of the correlations among three RSA measures over two test days and three conditions (daytime sitting or walking and nighttime sleep) and in groups with low, medium, and high mean heart rate (HR), or low, medium, and high mean respiration rate (RR). Results showed that ambulatory RMSSD, pvRSA, and HF power are highly correlated and that their correlation is stable across time, ambulatory conditions, and a wide range of resting HR and RR values. RMSSD appears to be the most cost-efficient measure of RSA.
动态呼吸性窦性心律不齐(RSA)的各种测量方法在不同受试者的不同条件下所获取的信息一致性程度仍不明确。在本研究中,对84名受试者进行动态记录时评估了逐次差值均方根(RMSSD)、峰谷RSA(pvRSA)和高频功率(HF功率),其中64名受试者在约3年后进行了重新测试。我们使用协方差结构模型来检验三种RSA测量方法在两个测试日、三种条件(白天坐着或行走以及夜间睡眠)以及平均心率(HR)低、中、高或平均呼吸频率(RR)低、中、高的组中的相关性是否相等。结果表明,动态RMSSD、pvRSA和HF功率高度相关,并且它们的相关性在时间、动态条件以及广泛的静息HR和RR值范围内是稳定的。RMSSD似乎是RSA最具成本效益的测量方法。