A closer examination of facets of social interactions in predicting posttraumatic stress disorder and factors that moderate these associations
Bibliographic record
Abstract
Posttraumatic social interactions are among the most robust predictors of posttraumatic stress disorder (PTSD) following trauma, but social interactions have been widely defined and quantified in the literature. This study explored whether negative social interactions were more strongly associated with PTSD symptoms than positive interactions among adults recently exposed to a traumatic event, as well as factors that moderate these associations. Participants (N = 149) were assessed by the clinician-administered PTSD scale and completed self-reported measures of social interactions and disclosure style. Only negative social interactions, specifically general societal disapproval and disapproval from family and friends, emerged as significant predictors of PTSD severity in a multiple regression analysis. Sex, trauma type, and dysfunctional disclosure style did not moderate relationships between negative social interactions and PTSD severity. Findings imply that negative social interactions may be more integral to trauma recovery than positive ones. Clinical implications 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.002 | 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".