Emotion Dysregulation and Social Support in PTSD and Depression: A Study of Trauma‐Exposed Veterans
Bibliographic record
Abstract
Abstract Emotion dysregulation has been associated with impaired interpersonal functioning and increased risk of posttraumatic psychopathology. Given that social support is a robust predictor of psychiatric morbidity following trauma exposure, we examined whether emotion dysregulation was associated with posttraumatic psychopathology through its negative effect on social support. Using self‐report data from 90 military veterans (89.9% men) enrolled in an outpatient psychotherapy program for posttraumatic stress disorder (PTSD), we found that social support partially mediated the effect of emotion dysregulation on PTSD (PM = .10) and depression symptoms (PM = .14). When source of support was considered, friend (PM = .08) and significant other support (PM = .06) were greater mediators of the effect of emotion dysregulation on depression symptoms than family support (PM = .01). There were no differential mediating effects for support providers on PTSD symptoms. Our findings indicate that social support is a statistically significant yet clinically limited mechanism through which emotion dysregulation is linked with psychiatric symptoms. Implications for these limitations and alternative potentially relevant interpersonal mechanisms are discussed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".