A Bayesian Framework for Examining Heart Rate Variability as a Psychophysiological Correlate of Trait Emotional Intelligence During Acute Mental Stress and Recovery.

This dataset contains psychophysiological and psychological measures from N = 55 healthy adults assessed in a laboratory-based stress paradigm. Trait emotional intelligence (Trait EI) was examined as a predictor of autonomic flexibility indexed by heart rate variability (HRV). RR interval data were collected across three within-subject phases: baseline (T1), acute mental arithmetic stress (T2), and recovery (T3). Time-domain (SDNN, RMSSD, pNN50), frequency-domain (LF, HF, LF/HF), and non-linear indices (e.g., stress index, SD1, SD2 where applicable) were derived following artifact correction. Bayesian repeated-measures modeling was applied to quantify phase effects and Trait EI associations. Results indicate significant phase-dependent HRV modulation, characterized by parasympathetic withdrawal during stress and partial vagal re-engagement during recovery. Trait EI demonstrated associations with attenuated stress reactivity and improved recovery dynamics. The dataset enables secondary analyses using multilevel, Bayesian, or alternative psychophysiological modeling approaches.本数据集包含N=55名健康成年人的心理生理与心理测量数据，所有受试者均在基于实验室的应激范式中完成评估。本研究以特质情绪智力（Trait EI）为预测变量，探究其对以心率变异性（HRV）为量化指标的自主神经灵活性的预测效应。研究在三个被试内阶段采集RR间期（RR interval）数据，分别为基线期（T1）、急性心算应激任务期（T2）与恢复期（T3）。在完成伪迹校正后，研究提取了三类心率变异性指标：时域指标（SDNN、RMSSD、pNN50）、频域指标（LF、HF、LF/HF）以及非线性指标（如适用时包含应激指数、SD1、SD2）。本研究采用贝叶斯重复测量建模方法，量化各实验阶段的效应以及特质情绪智力与各生理指标间的关联。结果显示，心率变异性存在显著的阶段依赖性调控特征，具体表现为应激期副交感神经撤缩、恢复期迷走神经部分重新激活。特质情绪智力与减弱的应激反应性以及更优化的恢复动力学特征存在显著关联。本数据集支持采用多层模型、贝叶斯模型或其他心理生理建模方法开展二次分析。