Anxiety disorders are a pervasive problem, with an estimated 12-month prevalence of 16.6 %, and they are associated with significant impairment and high social costs. Cognitive behavioral therapy (CBT) has shown to be effective and for treating of anxiety disorders. CBT is furthermore cost-effectiveness.This has made CBT the first choice of treatment for anxiety disorders in many mental health settings around the world. Despite this impressive evidence-base, a relatively large group of individuals do not benefit from CBT, relapse, or drop out of treatment. Thus, there is a clear and pressing need to improve the efficacy and effectiveness of CBT for anxiety disorders. One way in which to improve is to identify predictors of CBT outcome. In naturalistic clinical settings, identification of prognostic factors can help allocate resources to those presumed to benefit most from CBT, while also identifying those who may need additional CBT, adjunctive therapy, or entirely different treatment to maximize outcomes.
Current knowledge about who is most likely to benefit from CBT is sparse and stems primarily from well-controlled laboratory settings. These results may not generalize to patient outcomes in mental health settings, in which patients with more severe and comorbid disorders are often seen. Thus, naturalistic studies have the potential to significantly increase knowledge, inform clinical strategies, and thus improve the treatment offered in mental health settings. Furthermore, existing studies have mostly investigated socio-demographic factors as predictors of drop-out and non-response. However, these variables have shown to be either non-significant or inconsistent predictors of outcome. Results concerning comorbidity as a predictor are also mixed. In sum, knowledge on who is most likely to benefit from CBT is sparse, and to date no reliable predictors have been identified.
While prior work has primarily emphasized atheoretical predictors, it may prove more fruitful to focus on predictor variables stemming from psychological theories. Identifying such predictors can provide direct prognostic information for clinicians. Additionally, these predictors could also inform the development of adjunctive components of treatment that may optimize the treatment for those with poorer CBT outcome. Some exciting studies suggest that such a line of inquiry could yield relevant results.
Maintaining factors is one aspect highlighted by several therapeutic approaches/theories as crucial for the treatment of anxiety disorders, and accordingly these factors are often the target of cognitive and behavioral treatments. Emotion regulation and attentional control are examples of key maintaining factors in anxiety disorders. CBT, which aims to teach patients cognitive reappraisal of maladaptive cognitions and encourages approach (rather than avoidance) behavior via cognitive restructuring and exposure, may be more suitable for patients with certain characteristics. Specifically, recent research and theory suggest that it is crucial for effective treatment of anxiety disorders that clients learn to tolerate fear while being exposed to anxiety-provoking stimuli, rather than merely habituating to the stimuli. Learning to tolerate fear may require emotion regulation skills and the ability to control attention and this has been supported by recent studies. However, so far only certain areas of emotion regulation have been investigated and to date never in a naturalistic setting. Attentional control has never been examined as a predictor of CBT outcomes. Accordingly, this study is designed to investigate the predictive value of attentional control and of three facets of emotion regulation skills.
Attentional control There is strong evidence that individuals with anxiety disorders have biased attention towards threatening stimuli, but there is no consensus as to why these biases occur. Recent research suggests that it is not the threat bias per se that is problematic. Rather, individual differences in the ability to voluntarily control attention may affect the impact of threatening information hence increasing or decreasing the anxiety symptoms. A potential consequence may be that individuals with low ability to voluntarily control their attention have difficulties participating in exposure and/or do not progress in the exposure hierarchy, because the level of anxiety gets too high. This may subsequently lead to failure to learn that fear is not dangerous or even drop-out of CBT. Furthermore, a pronounced bias towards irrelevant negative information may take up so many resources that processing of important, relevant information is hampered, making it difficult to engage in goal-oriented behavior while experiencing anxiety.
Emotion regulation as predictor Novel theoretical frameworks emphasize that difficulties in emotion regulation are associated with the development and maintenance of anxiety disorders. Additionally, emotion regulation skills may be required to engage in and benefit from CBT. Furthermore, in an attempt to increase effectiveness, several newer treatments have included emotion regulation training in their treatments protocols.
The present study aims to examine attentional control and three facets of emotion regulation:
1. awareness and understanding of emotions,
2. acceptance of emotions, and
3. the ability to engage in goal-directed behavior, and refrain from impulsive behavior, when experiencing negative emotions as general predictors of outcome in CBT for anxiety disorders in a naturalistic, community-based mental health setting.
Our secondary aim is to examine a theoretical variables (i.e., socio-demographic data and clinical characteristics, such as comorbidity) as predictors of CBT outcome, as these have yet to be examined as predictors in real-world clinical settings in a mixed anxious sample.
Investigators expect that low ability to control attention will be associated with poorer treatment outcome. Similarly, it is expected that high scores on emotion dysregulation will be related to poorer treatment outcome. Given the exploratory nature of this study we will also be interested in testing non-linear relationships.
Method In order to maximize external validity, investigators are conducting the study within two real-world treatment clinics and employing minimal exclusion criteria recruiting a sample with mixed principal anxiety disorders. Patients will be recruited from the two clinics.
