Bipolar disorder with comorbid anxiety disorders: impact of comorbidity on treatment outcome in cognitive-behavioral therapy and psychoeducation
Bibliographic record
Abstract
BACKGROUND: Comorbid anxiety disorders are extremely prevalent in bipolar disorder (BD) and have substantial impact on the course of illness. Limited evidence regarding treatment factors has led to a renewal of research efforts examining both the impact of treatments on comorbid anxiety and the impact of comorbid anxiety on treatments. The current study examines the impact of comorbid anxiety disorders on response to two psychosocial interventions for BD. METHODS: A sample of 204 patients with BD took part in the study. Of them, 41.7% had a comorbid anxiety disorder. All participants received either individual cognitive-behavioral therapy or group psychoeducation for BD. Evaluations included complete pretreatment and 18-month follow-up assessments of mood and anxiety symptoms, functioning, medication compliance, dysfunctional attitudes, and coping style. Outcome was compared based on the presence or absence of a comorbid anxiety disorder. RESULTS AND DISCUSSION: The participants with comorbid anxiety disorders ranked more severe than those without on several measures. Despite more severe illness characteristics, the magnitude of their treatment gains was equivalent or superior to that of the participants without anxiety disorders on a variety of outcome measures. Although the treatments did not specifically target the anxiety disorder, the participants made significant improvements in anxiety symptoms. Despite greater illness severity, patients with comorbid anxiety disorders can make substantial gains from psychosocial interventions targeting BD. Even in the presence of an anxiety disorder, they are able to attend to the content of the psychosocial treatments and apply it to better manage their condition. The presence of a comorbid anxiety disorder should not be considered a deterrent to offering BD-focused psychosocial treatments.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".