Associations Between Functioning and PTSD Symptom Clusters in a Dismantling Trial of Cognitive Processing Therapy in Female Interpersonal Violence Survivors
Bibliographic record
Abstract
This study conducted secondary analyses of a published trial and sought to determine if different domains of psychosocial functioning (e.g., daily living, work, nonfamily relationships) improved following trauma-focused treatment for posttraumatic stress disorder (PTSD). Cognitive processing therapy (CPT), an empirically supported treatment that involves evaluating trauma-related beliefs and written trauma accounts, was compared to its components: CPT without the written accounts or written accounts only in a sample of 78 women with PTSD secondary to interpersonal violence. Overall and individual domains of functioning significantly improved with treatment and results were similar across treatment groups, Fs (2, 150) ≥ 11.87, ps < .001. Additionally, we investigated whether changes in different PTSD symptom clusters were associated with outcomes in domains of psychosocial functioning, after collapsing across treatment condition. Multiple hierarchical linear regression analyses revealed that overall clinician-assessed PTSD symptom reduction was associated with outcomes in all domains of functioning, βs = .44 to .68, ps < .001. Additionally, improvements in the emotional numbing symptom cluster were associated with outcomes in the nonfamily relationships domain, β = .42, p < .001, and improvements in the hyperarousal symptom cluster were associated with outcomes in the overall, daily living, and household tasks domains, βs = .34 to .39, ps < .01. Results suggest that it may be important to monitor improvements in emotional numbing and hyperarousal symptoms throughout treatment to increase the likelihood of changes in psychosocial functioning.
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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 | 0.001 | 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".