动态时间规整模型在临床和非临床样本中的日常生活应激反应——一项生态瞬时评估研究

Dynamic time warping to model daily life stress reactivity in a clinical and non-clinical sample - An ecological momentary assessment study.

作者信息

Pasteuning Jasmin M, Broeder Caroline, Sep Milou S C, Elzinga Bernet M, Penninx Brenda W J H, Vinkers Christiaan H, Giltay Erik J

机构信息

AmsterdamUMC-location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam, Netherlands; AmsterdamUMC-location Vrije Universiteit Amsterdam, Department of Anatomy & Neurosciences, Amsterdam, Netherlands; Amsterdam Public Health, Amsterdam, Netherlands; Amsterdam Digital Health, Amsterdam, Netherlands; Amsterdam Neuroscience, Amsterdam, Netherlands.

出版信息

J Affect Disord. 2025 Dec 1;390:119833. doi: 10.1016/j.jad.2025.119833. Epub 2025 Jul 4.

DOI:10.1016/j.jad.2025.119833

PMID:40617486

Abstract

BACKGROUND

Dysregulated stress reactivity has been closely linked to psychopathology. However, most studies have applied cross-sectional lab-based methodologies rather than longitudinal designs, like ecological momentary assessment (EMA). EMA provides dynamic, time-sensitive data that require advanced analytical approaches. Dynamic time warping (DTW) is particularly suited for capturing the temporal dynamics between EMA-items.

METHODS

We applied DTW to examine daily life stress reactivity in 99 participants with a current affective disorder and 277 controls. Using EMA-data, we assessed emotional reactivity to social stressors (i.e., unpleasant or missing company), event-related stressors (i.e., unpleasant experiences), and positive events (i.e., pleasant company or experiences). DTW distances between affect items, stressors, and positive events were calculated to construct group-level networks reflecting undirected and temporal relationships.

RESULTS

The current affective disorder group reported more unpleasant and fewer pleasant events compared to controls, rated their company as pleasant less often, and reported missing company more frequently. In undirected analyses, they showed strong connections between positive and negative emotions, while these formed distinct clusters in controls. Accordingly, temporal network analyses revealed stronger emotional responses to stressors in the affective disorder group. Additionally, unpleasant and pleasant experiences significantly preceded emotional changes in this group but not in controls.

CONCLUSION

Our findings highlight heightened reactivity to daily events in individuals with a current affective disorder. We demonstrate an application of DTW in psychiatry research and showcase its ability to analyze complex time-series data, infer causality, and create directional networks at the item level for a more in-depth study of stress reactivity.

摘要

背景

应激反应失调与精神病理学密切相关。然而，大多数研究采用的是基于实验室的横断面方法，而非纵向设计，如生态瞬时评估（EMA）。EMA提供动态、对时间敏感的数据，需要先进的分析方法。动态时间规整（DTW）特别适合捕捉EMA项目之间的时间动态。

方法

我们应用DTW来检验99名当前患有情感障碍的参与者和277名对照组的日常生活应激反应。利用EMA数据，我们评估了对社会应激源（即不愉快或缺少陪伴）、事件相关应激源（即不愉快经历）和积极事件（即愉快的陪伴或经历）的情绪反应。计算情感项目、应激源和积极事件之间的DTW距离，以构建反映无向和时间关系的组水平网络。

结果

与对照组相比，当前情感障碍组报告的不愉快事件更多，愉快事件更少，更少将他们的陪伴评为愉快，且更频繁地报告缺少陪伴。在无向分析中，他们显示出积极和消极情绪之间有很强的联系，而在对照组中这些情绪形成了不同的集群。相应地，时间网络分析显示情感障碍组对应激源的情绪反应更强。此外，不愉快和愉快经历在该组中显著先于情绪变化，而在对照组中则不然。