在心理治疗中预测结果,使用情绪状态和情绪调节的持续时间动态建模和情绪调节
Miriam I Hehlmann1, Danilo Moggia1, Brian Schwartz1
1Department of Psychology, University of Trier.
Journal of consulting and clinical psychology
|September 30, 2024
概括
早期治疗中的时间模式,特别是影响情绪调节的积极影响,预测心理治疗结果. 这种动态方法为个性化治疗提供了超越静态措施的洞察力.
科学领域:
- 心理治疗研究 心理治疗研究
- 临床心理学 临床心理学
- 情感科学是一种情感科学.
- 情绪调节 情绪调节
背景情况:
- 传统的心理治疗结果预测通常依赖于横截面数据,限制了对动态过程的理解.
- 密集的纵向评估提供了更细致的视图的会议内患者的状态.
- 连续时间动态建模 (CTDM) 提供了一个分析这些时间动态的框架.
研究的目的:
- 在心理治疗的早期阶段,研究情绪状态和情绪调节的时间动态.
- 评估这些时间动态对治疗结果的预测能力.
- 将动态预测器与传统的横截面预测器进行比较.
主要方法:
- 91名患者完成了为期2周的生态瞬间评估 (EMA),每天进行4次关于积极影响 (PA),消极影响和情绪调节 (ER) 的自我报告.
- 使用层次贝叶斯式CTDM来建模PA,负效应和ER之间的自回归和交叉回归效应.
- 一个LASSO模型整合了CTDM参数,EMA平均值和横截面变量,以预测第15届会议的治疗结果.
主要成果:
- 最初的患者损伤和PA对ER的持续时间交叉效应成为治疗结果的重要预测因素.
- 最终的预测模型占治疗结果差异的40%.
- 在最初的减值之外,PA-ER交叉效应独特地贡献了4%的差异.
结论:
- 从情感EMA数据中获得的时间模式对于理解个体差异和预测心理治疗成功有价值.
- 动态的情感和情绪调节模式比静态的措施提供增量预测有效性.
- 研究结果支持使用实时数据反给治疗师来个性化治疗策略.
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