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月经周期中静息心率变异性的变化。

Changes in resting heart rate variability across the menstrual cycle.

作者信息

Tenan Matthew S, Brothers R Matthew, Tweedell Andrew J, Hackney Anthony C, Griffin Lisa

机构信息

Department of Kinesiology and Health Education, University of Texas at Austin, Austin, Texas, USA; United States Army Research Laboratory-Human Research and Engineering Directorate, Aberdeen Proving Ground, Maryland, USA.

出版信息

Psychophysiology. 2014 Oct;51(10):996-1004. doi: 10.1111/psyp.12250. Epub 2014 Jun 18.

DOI:10.1111/psyp.12250
PMID:24942292
Abstract

Heart rate variability (HRV) is a noninvasive indicator of autonomic control. This study examines HRV changes across a normal menstrual cycle and proposes a novel piecewise function controlling for the effects of breathing on HRV spectral parameters. A resting ECG was collected from 13 women at five points in their menstrual cycle. Both heart rate and breathing rate increased across the cycle (p < .01) while time-domain variability decreased (p = .04). Use of the piecewise function for breathing rate in HRV spectral analysis was confirmed by a substantial increase in model goodness-of-fit. HRV spectral parameters, controlled for breathing with the piecewise function, confirm that the decrease in variability is likely due to a parasympathetic withdrawal, since high frequency HRV decreases (p = .02).

摘要

心率变异性(HRV)是自主神经控制的一种非侵入性指标。本研究考察了正常月经周期中的HRV变化,并提出了一种新颖的分段函数,用于控制呼吸对HRV频谱参数的影响。在月经周期的五个时间点采集了13名女性的静息心电图。整个周期中心率和呼吸频率均增加(p < 0.01),而时域变异性降低(p = 0.04)。HRV频谱分析中使用分段函数处理呼吸频率,模型拟合优度大幅提高,证实了该函数的有效性。采用分段函数控制呼吸后,HRV频谱参数表明变异性降低可能是由于副交感神经活动减弱,因为高频HRV降低(p = 0.02)。

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