Cognitive therapy for depression: Coping style matters
Bibliographic record
Abstract
Aim: The finding by Jacobson and colleagues that there was no difference in treatment outcome for individuals treated with a complete cognitive therapy (CT) package and those receiving behavioural activation raised serious concerns about the mediational role of cognition in depression. The present study was designed to test whether the interaction between coping and cognition predicts changes in depressive symptomatology. Method: The sample (N=30) was derived from the full CT condition of the study conducted by Jacobson and colleagues. Therapy transcripts from the third session were rated to assess cognitive errors and coping. Change in depression scores from pre‐treatment to post‐treatment was computed. Findings: Analyses demonstrated that engagement in self‐reliance and not engaging in escape coping predicted greater decreases in levels of depression after CT. Implications for practice: These findings suggest that engaging in specific types of adaptive coping strategies and avoiding maladaptive coping may be important in predicting decreases in depression for individuals who have high levels of certain cognitive errors.
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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 | 0.001 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".