Generalized anxiety disorder: A comparison of symptom change in adults receiving cognitive-behavioral therapy or applied relaxation.
Bibliographic record
Abstract
OBJECTIVE: Generalized anxiety disorder (GAD) is characterized by excessive worry and somatic symptoms of anxiety (e.g., restlessness, muscle tension). Several psychological treatments lead to significant reductions in GAD symptoms by posttreatment. However, little is known about how GAD symptoms change over time. Our main goal was to examine how GAD symptoms changed in relation to one another during 2 distinct but efficacious psychological treatments: cognitive-behavioral therapy (CBT) and applied relaxation (AR). Specifically, we asked whether change in worry accounted for change over time in somatic anxiety (or the reverse) to the same degree in CBT and AR. METHOD: We examined data from 57 individuals with GAD enrolled in a randomized controlled trial. Self-report measures of worry and somatic anxiety were obtained daily during treatment. RESULTS: Although the direction of influence between changes in worry and somatic anxiety was bidirectional to some extent in both treatments, a significant difference was also observed: Change in worry accounted for subsequent change in somatic anxiety to a greater extent in CBT than in AR. CONCLUSIONS: These findings allowed us to identify differences in a mechanism of change in GAD symptoms during 2 treatments and to provide some support for the idea that similarly efficacious treatments may produce symptom change via different mechanisms in a manner that is consistent with the theoretical rationales on which the treatments are based.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".