The effectiveness of worry exposure in treating generalized anxiety disorder
Bibliographic record
Abstract
Worry exposure (WE) is a core of cognitive-behavioral treatment for generalized anxiety disorder (GAD).The present study was carried out to examine the efficacy of WE in treating patients with GAD.Three patients with GAD were selected using Structured Clinical Interview for DSM-IV (SCID) based on disorders axis I. Subjects were selected using purposeful sampling, and underwent the treatment after gaining treatment needs.Multiple baseline experimental single case study was used as the method of the present study.The treatment program was carried out for 8 weekly sessions, with a follow up period of 3 months later treatment ending.Subjects completed Pennsylvania State Worry Questionnaire (PSWQ) and Cognitive Avoidance Questionnaire (CAQ).Research findings represented that WE decreased the intensity of GAD symptoms: Pathologic worry and cognitive avoidance.WE has suitable efficacy in treating Generalized Anxiety Disorder and it maintains suitable efficacy in treating GAD.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".