A Prospective Study on the Association Between Caregiver Psychological Symptomatology and Symptom Clusters of Pediatric Posttraumatic Stress Disorder
Bibliographic record
Abstract
This study investigated the influence of caregiver psychological symptoms on posttraumatic stress disorder (PTSD) symptoms in traumatized children. One-hundred eleven children and caretakers were assessed in this study. Children (N = 59) with a history of exposure to interpersonal violence were evaluated for reexperiencing, avoidance/numbing, and hyperarousal symptom clusters using the Clinician-Administered PTSD Scale for Children and Adolescents (CAPS-CA). The 52 primary caregivers were evaluated using the Symptom Checklist-90-Revised (SCL-90-R) on 9 domains of psychological symptomatology: anxiety, depression, hostility, interpersonal sensitivity, obsessive-compulsive disorder, paranoid ideation, phobic anxiety, psychoticism, and somatization. At 14-month follow-up, 45 of the children were re-evaluated with the CAPS-CA. Caregiver psychological symptoms in the domains of anxiety, depression, interpersonal sensitivity, obsessive-compulsive disorder, and paranoid ideation were associated with less improvement in total pediatric PTSD symptoms. Analysis of PTSD symptoms by cluster showed that greater caregiver symptomatology in the domains of anxiety, depression, interpersonal sensitivity, and obsessive-compulsive disorder were associated with less improvement in the hyperarousal symptom cluster. These results suggest caregiver symptomatology may be specifically associated with hyperarousal symptoms in pediatric trauma.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".