Verkuil Bart, Brosschot Jos F, Tollenaar Marieke S, Lane Richard D, Thayer Julian F
Clinical Psychology and the Leiden Institute of Brain and Cognition, Leiden University, Wassenaarseweg 52, 2333 AK, Leiden, The Netherlands.
The University of Arizona, Tucson, AZ, USA.
Ann Behav Med. 2016 Oct;50(5):704-714. doi: 10.1007/s12160-016-9795-7.
Prolonged cardiac activity that exceeds metabolic needs can be detrimental for somatic health. Psychological stress could result in such "additional cardiac activity."
In this study, we examined whether prolonged additional reductions in heart rate variability (AddHRVr) can be measured in daily life with an algorithm that filters out changes in HRV that are purely due to metabolic demand, as indexed by movement, using a brief calibration procedure. We tested whether these AddHRVr periods were related to worry, stress, and negative emotions.
Movement and the root of the mean square of successive differences (RMSSD) in heart rate were measured during a calibration phase and the subsequent 24 h in 32 participants. Worry, stress, explicit and implicit emotions were assessed hourly using smartphones. The Levels of Emotional Awareness Scale and resting HRV were used to account for individual differences. During calibration, person-specific relations between movement and RMSSD were determined. The 24-h data were used to detect prolonged periods (i.e., 7.5 min) of AddHRVr.
AddHRVr periods were associated with worrying, with decreased explicit positive affect, and with increased tension, but not with the frequency of stressful events or implicit emotions. Only in people high in emotional awareness and high in resting HRV did changes in AddHRVr covary with changes in explicit emotions.
The algorithm can be used to capture prolonged reductions in HRV that are not due to metabolic needs. This enables the real-time assessment of episodes of potentially detrimental cardiac activity and its psychological determinants in daily life.
超过代谢需求的长时间心脏活动可能对身体健康有害。心理压力可能导致这种“额外的心脏活动”。
在本研究中,我们使用一种算法来检测在日常生活中是否可以测量到心率变异性(HRV)的长时间额外降低(AddHRVr),该算法通过简短的校准程序滤除纯粹由运动所指示的代谢需求引起的HRV变化。我们测试了这些AddHRVr时间段是否与担忧、压力和负面情绪有关。
在32名参与者的校准阶段及随后的24小时内,测量其运动情况和心率连续差值平方和的平方根(RMSSD)。使用智能手机每小时评估一次担忧、压力、显性和隐性情绪。使用情绪意识量表水平和静息HRV来解释个体差异。在校准期间,确定运动与RMSSD之间的个体特定关系。使用24小时数据检测AddHRVr的延长时间段(即7.5分钟)。
AddHRVr时间段与担忧、显性积极情绪降低以及紧张增加有关,但与压力事件的频率或隐性情绪无关。仅在情绪意识高和静息HRV高的人群中,AddHRVr的变化与显性情绪的变化相关。
该算法可用于捕捉并非由代谢需求引起的HRV长时间降低。这使得能够在日常生活中实时评估潜在有害心脏活动的发作及其心理决定因素。