Maternal and Paternal Distress and Coping Over Time Following Pediatric Traumatic Brain Injury
Bibliographic record
Abstract
Objective: Examine differences in maternal and paternal coping and distress following traumatic brain injury (TBI) and orthopedic injuries (OI). Method: Concurrent cohort/prospective design with five assessments between 1 and an average of 7 years after injury of children aged 3-6 years hospitalized for TBI ( n = 87) or OI ( n = 119). Mixed models analyses were used to examine hypotheses. Results: Overall, fathers reported greater depression and general distress than mothers 18 months after injury, but not at long-term follow-up. Active and acceptance coping were unrelated to parental sex, injury factors, or time since injury. A group × rater × time interaction was noted for Denial coping. Following severe TBI, fathers reported greater denial at 18 months, whereas mothers reported greater denial at the long-term follow-up. Denial coping did not differ between mothers and fathers following OI and moderate TBI. Conclusions: Parental response to early TBI is complex and may warrant clinical intervention even years after injury.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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".