Social Competence at Two Years after Childhood Traumatic Brain Injury
Bibliographic record
Abstract
Children with traumatic brain injury (TBI) are at risk for social impairment, but research has yet to document the trajectory of these skills post-injury and factors that may predict social problems. This study addressed these gaps in knowledge, reporting on findings from a prospective, longitudinal follow-up study that investigated social outcomes post-injury and explored factors contributing to these outcomes at two years post-injury. The sample included 113 children, 74 with TBI and 39 typically developing (TD) controls. TBI participants were recruited on presentation to the hospital. Parents rated pre-injury function at that time, and all children underwent magnetic resonance imaging (MRI). Participants were followed up at two years post-injury. Outcomes were social adjustment, social participation, social relationships, and social cognition. Predictors of social outcomes examined included brain lesion characteristics, child cognition (6 months post-TBI), and behavior and environmental factors (pre-injury and two years). Reduced social adjustment (p = 0.011) and social participation (p < 0.001) were evident in children with TBI compared with TD controls. Poor social adjustment was predicted by externalizing behavior problems and younger age at injury. Reduced social participation was linked to internalizing behavior problems. Greater lesion volume, lower socioeconomic status, and family burden contributed to poorer social relationships, whereas age at injury predicted social cognition. Within the TBI group, 23% of children exhibited social impairments. Younger age at injury, greater pre-injury, and current behavior problems and family dysfunction, and poorer intelligence quotient (IQ), processing speed, and empathy were linked to impairment. Further follow-up is required to track social recovery and the influences of cognition, brain, and environment over time.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".