Social and Behavioral Outcomes: Pre-Injury to Six Months following Childhood Traumatic Brain Injury
Bibliographic record
Abstract
This study aimed to extend the limited research investigating social and behavioral outcomes following childhood traumatic brain injury (TBI). The study compared pre-and post-injury measures of these skills and investigated the role of pre-injury child status and pre-injury family functioning in the prediction of outcome at six months post-injury. A secondary aim was to compare rates of impairment at six months post-injury between children post-TBI and a typically developing (TD) control group. This study comprised 140 children, 97 survivors of TBI (67 males) and 43 TD children (24 males), matched for age, sex, and socio-economic status. All participants were ascertained between 2007 and 2010, and were between ages 5.5 and 15.0 years. Children with TBI represented consecutive hospital admissions and were recruited at time of injury into a longitudinal study. TD children were recruited from the community, through local schools chosen to provide a range of socio-economic backgrounds. Findings indicated a deterioration of social participation skills post-injury, particularly for those sustaining a more severe injury, and a consistently higher rate of impairment in social and behavioral outcomes in the TBI group. Pre-injury function, injury severity and restrictions to social participation (e.g., reduced sport activities) as recommended by clinicians contributed significantly to outcome. Difficulties are evident in the short-term post-childhood TBI in social and behavioral domains. It is essential to monitor children long-term, particularly as societal expectations and demands increase.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".