The Relationship Between Parental and Family Functioning and Post-Concussive Symptoms After Pediatric Mild Traumatic Brain Injury: A Scoping Review
Bibliographic record
Abstract
This scoping review aimed to address the following questions: (1) Does mild traumatic brain injury (mTBI) result in more parental distress or poorer family functioning than other injuries? (2) Does pre-injury or acute parental distress and family functioning predict post-concussive symptoms (PCS) after mTBI? and (3) Do acute PCS predict later parental distress and family functioning? The subjects of this review were children/adolescents who had sustained an mTBI before age 18 and underwent assessment of PCS and parent or family functioning. MEDLINE®, PsycInfo, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, and CENTRAL databases were searched to identify original, empirical, peer-reviewed research published in English. PCS measures included parent- and child-reported symptom counts and continuous scales. Parent and family measures assessed parental stress, psychological adjustment, anxiety, psychiatric history, parent–child interactions, family burden, and general family functioning. A total of 11,163 articles were screened, leading to the inclusion of 15 studies, with 2569 participants (mTBI = 2222; control = 347). Collectively, the included articles suggest that mTBI may not result in greater parental distress or poorer family functioning than other types of injuries. Pre-injury or acute phase parental and family functioning appears to predict subsequent PCS after mTBI, depending on the specific family characteristic being studied. Early PCS may also predict subsequent parental and family functioning, although findings were mixed in terms of predicting more positive or negative family outcomes. The available evidence suggests that parent and family functioning may have an important, perhaps bidirectional, association with PCS after pediatric mTBI. However, further research is needed to provide a more thorough understanding of this association.
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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 | 0.007 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.011 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".