Background: acceptance and commitment therapy (ACT) and cognitive-behavioral therapy (CBT) are empirically supported treatments for anxiety and panic disorder (PD), though they differ in their putative vulnerability and maintenance processes. The present study examined the incremental validity of several of these models' proposed core processes, including anxiety sensitivity (AS), dispositional avoidance, experiential avoidance (EA), cognitive fusion (CF), and mindfulness, as well as the interaction of the processes within each model, in the prediction of anxiety and panic symptomology. Methods: a sample of US adults (n = 316) completed self-report measures of AS, dispositional avoidance, EA, CF, mindfulness, anxiety, and PD symptoms. A series of hierarchical multiple regression analyses were conducted. Results: hierarchical regression analyses indicated that AS, dispositional avoidance, and EA predicted anxiety and panic symptoms even after controlling for one another, CF, mindfulness, and demographic variables. Although mindfulness and CF was correlated with anxiety and panic at the univariate level, they did not predict either outcome above and beyond AS, dispositional avoidance, and EA. When interaction terms were added to the models, the interaction between AS and -dispositional avoidance was a significant predictor of panic and anxiety symptoms, whereas the interaction between EA and CF only predicted panic symptoms. None of the interactions that included mindfulness were significant predictors. Conclusions: these findings provide support the independent and interactive predictive value of traditional CBT (AS, dispositional avoidance, and AS-dispositional avoidance) and ACT (EA) processes for anxiety and panic symptoms, but raise questions about the incremental predictive utility of CF and mindfulness.

中文翻译：

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认知行为疗法的增量有效性以及焦虑和恐慌症状学的接受和承诺治疗机制。

背景：接受和承诺疗法 (ACT) 和认知行为疗法 (CBT) 是经验支持的治疗焦虑症和惊恐障碍 (PD) 的方法，尽管它们在假定的脆弱性和维持过程中有所不同。本研究检验了这些模型提出的几个核心过程的增量有效性，包括焦虑敏感性 (AS)、性格回避、经验回避 (EA)、认知融合 (CF) 和正念，以及这些过程的相互作用在每个模型中，用于预测焦虑和恐慌症状。方法：美国成年人样本 (n = 316) 完成了 AS、性格回避、EA、CF、正念、焦虑和 PD 症状的自我报告测量。进行了一系列分层多元回归分析。结果：层次回归分析表明，即使在相互控制、CF、正念和人口统计变量之后，AS、性格回避和 EA 也能预测焦虑和恐慌症状。尽管正念和 CF 在单变量水平上与焦虑和恐慌相关，但它们并未预测 AS、性格回避和 EA 之外的任何结果。当交互项被添加到模型中时，AS 和性格回避之间的交互是恐慌和焦虑症状的重要预测因子，而 EA 和 CF 之间的交互仅预测恐慌症状。包括正念在内的互动都不是重要的预测因素。结论：这些发现支持传统 CBT（AS、性格回避、