Emotional granularity describes the ability to create emotional experiences that are precise and context-specific. Despite growing evidence of a link between emotional granularity and mental health, the physiological correlates of granularity have been under-investigated. This study explored the relationship between granularity and cardiorespiratory physiological activity in everyday life, with particular reference to the role of respiratory sinus arrhythmia (RSA), an estimate of vagal influence on the heart often associated with positive mental and physical health outcomes. Participants completed a physiologically triggered experience-sampling protocol including ambulatory recording of electrocardiogram, impedance cardiogram, movement, and posture. At each prompt, participants generated emotion labels to describe their current experience. In an end-of-day survey, participants elaborated on each prompt by rating the intensity of their experience on a standard set of emotion adjectives. Consistent with our hypotheses, individuals with higher granularity exhibited a larger number of distinct patterns of physiological activity during seated rest, and more situationally precise patterns of activity during emotional events: granularity was positively correlated with the number of clusters of cardiorespiratory physiological activity discovered in seated rest data, as well as with the performance of classifiers trained on event-related changes in physiological activity. Granularity was also positively associated with RSA during seated rest periods, although this relationship did not reach significance in this sample. These findings are consistent with constructionist accounts of emotion that propose concepts as a key mechanism underlying individual differences in emotional experience, physiological regulation, and physical health.

中文翻译：

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调查日常生活中情绪粒度与心肺生理活动的关系

情感粒度描述了创建精确且特定于上下文的情感体验的能力。尽管越来越多的证据表明情绪粒度和心理健康之间存在联系，但粒度的生理相关性一直未被充分研究。本研究探讨了日常生活中颗粒度与心肺生理活动之间的关系，特别提到了呼吸性窦性心律失常 (RSA) 的作用，这是一种估计迷走神经对心脏的影响，通常与积极的身心健康结果相关。参与者完成了生理触发的体验采样协议，包括心电图、阻抗心电图、运动和姿势的动态记录。在每个提示下，参与者都会生成情绪标签来描述他们当前的经历。在一天结束的调查中，参与者通过对一组标准的情绪形容词的体验强度进行评分来详细说明每个提示。与我们的假设一致，粒度较高的个体在坐姿休息期间表现出更多不同的生理活动模式，而在情绪事件期间表现出更精确的活动模式：粒度与在坐姿中发现的心肺生理活动簇的数量呈正相关休息数据，以及与事件相关的生理活动变化训练的分类器的性能。在坐着休息期间，粒度也与 RSA 呈正相关，尽管这种关系在该样本中没有达到显着性。