Eslami Ardalan, Nassif Najah Therese, Lal Sara
Medical Innovation Neuroscience Data-Analytics (MIND) Unit, TD School, University of Technology Sydney, Sydney 2007, Australia.
School of Life Sciences, University of Technology Sydney, Broadway, Sydney 2007, Australia.
Behav Sci (Basel). 2023 Sep 6;13(9):742. doi: 10.3390/bs13090742.
Heart rate variability (HRV) has the potential to be a predicting factor of cognitive performance. The present research aimed to explore the differences in neurocognitive performance of workers with high HRV and low HRV. A total of 48 white-collar workers and 53 blue-collar workers were assessed. An electrocardiogram was used to obtain HRV data, whereby a 10 min baseline and an active (neuropsychological task) recording were taken. Median splits were performed on data to obtain high- and low-HRV groups. The Cambridge Neuropsychological Test Automated Battery, specifically, the spatial working memory, attention-switching task, rapid visual processing, and spatial span were used. Higher HRV (RMSSD and HF) was linked to better neurocognitive performance measures. Interestingly, the blue- and white-collar groups exhibited different correlations and, in some cases, showed an inverse relationship with the same variables. The differences observed in the present study demonstrate the importance of assessing task-dependent HRV parameters.
心率变异性（HRV）有可能成为认知表现的一个预测因素。本研究旨在探讨高HRV和低HRV的工作者在神经认知表现上的差异。总共对48名白领和53名蓝领工作者进行了评估。使用心电图来获取HRV数据，在此过程中进行了10分钟的基线记录以及一次活跃状态（神经心理学任务）记录。对数据进行中位数分割以获得高HRV组和低HRV组。具体使用了剑桥神经心理测试自动成套系统，即空间工作记忆、注意力转换任务、快速视觉处理和空间广度测试。较高的HRV（RMSSD和HF）与更好的神经认知表现指标相关联。有趣的是，蓝领和白领组表现出不同的相关性，并且在某些情况下，与相同变量呈现出相反的关系。本研究中观察到的差异表明了评估任务相关的HRV参数的重要性。
