Unraveling the Association between Pediatric Traumatic Brain Injury and Social Dysfunction: The Mediating Role of Self-Regulation
Bibliographic record
Abstract
Social dysfunction is a common and disabling outcome of childhood traumatic brain injury (TBI); however, the mechanisms that link early brain injury to impaired social behavior are unclear. This longitudinal prospective study involved 129 children, including 86 children with TBI (53 mild, 33 moderate-severe TBI) and 43 age-matched typically developing control (TDC) children. Children with TBI were recruited via consecutive admissions to the emergency department of the Royal Children's Hospital, Melbourne Australia. At 6 months post-injury, all participants were assessed on measures of intellectual functioning, and parents provided ratings of children's self-regulation skills using gold standard measures of everyday executive function. At 12-month follow up, parents rated children's social adjustment using standardized measures of social skills, communication, and behavior. As expected, children with moderate-severe TBI were rated by parents as having greater self-regulation problems, worse social skills, and poorer communication than the mild TBI and TDC groups. In mediation models, greater self-regulation problems at 6 months post-injury were predictive of poorer social skills and worse overall social adjustment at 12-month follow-up. Moreover, self-regulation skills mediated the effect of moderate-severe TBI, but not mild TBI, on social skills and overall social adjustment. Our findings show that, while impaired social adjustment is common at 12 months following moderate-severe child TBI, the impact of TBI on these outcomes is likely mediated by its effect on self-regulation skills. Evidence for robust prospective associations between self-regulation deficits and later social adjustment difficulties have implications for early identification of children at high risk for chronic social problems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".