کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5038187 | 1472756 | 2017 | 7 صفحه PDF | دانلود رایگان |
- Trait positive emotionality was examined as a predictor of CBT response for anxiety.
- 59 individuals with panic disorder or GAD completed up to 10 sessions of CBT.
- Higher pre-treatment trait positive emotions predicted superior treatment response.
- Positive emotions predicted response even when controlling for depression symptoms.
- Dispositional positive emotions may be a prognostic indicator of CBT response.
ObjectiveCognitive behavioral therapy (CBT) is empirically supported for the treatment of anxiety disorders; however, not all individuals achieve recovery following CBT. Positive emotions serve a number of functions that theoretically should facilitate response to CBT - they promote flexible patterns of information processing and assimilation of new information, encourage approach-oriented behavior, and speed physiological recovery from negative emotions. We conducted a secondary analysis of an existing clinical trial dataset to test the a priori hypothesis that individual differences in trait positive emotions would predict CBT response for anxiety.MethodParticipants meeting diagnostic criteria for panic disorder (n = 28) or generalized anxiety disorder (n = 31) completed 10 weekly individual CBT sessions. Trait positive emotionality was assessed at pre-treatment, and severity of anxiety symptoms and associated impairment was assessed throughout treatment.ResultsParticipants who reported a greater propensity to experience positive emotions at pre-treatment displayed the largest reduction in anxiety symptoms as well as fewer symptoms following treatment. Positive emotions remained a robust predictor of change in symptoms when controlling for baseline depression severity.ConclusionsInitial evidence supports the predictive value of trait positive emotions as a prognostic indicator for CBT outcome in a GAD and PD sample.
Journal: Behaviour Research and Therapy - Volume 93, June 2017, Pages 6-12