Stress reactivity following brief treatment for depression: Differential effects of psychotherapy and medication.
Bibliographic record
Abstract
Psychotherapy and medication treatments are both effective in reducing depressive symptoms. However, only psychotherapy provides an enduring effect by reducing depressive vulnerability following treatment termination. This differential efficacy may reflect mode-specific effects on the longitudinal relationship between depression and stress. The current study examined posttreatment data from 153 outpatients enrolled in the Treatment of Depression Collaborative Research Program. Longitudinal analyses using the latent difference score (LDS) framework (a structural modeling technique that combines features of latent growth curve and cross-lagged regression models) evaluated the temporal relationship between severity of depression and frequency of stressful life events, assessed by interviewers at treatment termination and at 6, 12, and 18 months following treatment. Results supported a stress reactivity model in that stressful events led to elevations in the rate of depression change. Furthermore, multigroup LDS analysis indicated that this longitudinal stress reactivity occurred only for outpatients in the medication conditions. Results demonstrate that the enduring impact of psychotherapy involves the development of enhanced resiliency to stressful life events.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".