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Social Environmental Moderators of Long-term Functional Outcomes of Early Childhood Brain Injury

2016· article· en· W2276838949 on OpenAlexaff
Shari L. Wade, Nanhua Zhang, Keith Owen Yeates, Terry Stancin, H. Gerry Taylor

Bibliographic record

VenueJAMA Pediatrics · 2016
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsHotchkiss Brain InstituteAlberta Children's HospitalUniversity of Calgary
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Center for Advancing Translational Sciences
KeywordsMedicineObservational studyPediatricsCohort studyTraumatic brain injuryCohortEarly childhoodLongitudinal studyProspective cohort studyInjury preventionPoison controlPhysical therapyPsychiatryEmergency medicineDevelopmental psychologyInternal medicinePsychology

Abstract

fetched live from OpenAlex

IMPORTANCE: Pediatric traumatic brain injury (TBI) contributes to impairments in behavior and academic performance. However, the long-term effects of early childhood TBI on functioning across settings remain poorly understood. OBJECTIVE: To examine the long-term functional outcomes of early childhood TBI relative to early childhood orthopedic injuries (OIs). We also examine the moderating role of the social environment as defined by parent report and observational measures of family functioning, parenting practices, and home environment. DESIGN, SETTING, AND PARTICIPANTS: A prospective, longitudinal, observational cohort study conducted at each child's home, school, and hospital, including 3 children's hospitals and 1 general hospital in the Midwest. Patients were enrolled in the initial study between January 2003 and October 2006. Follow-ups were completed between January 2010 and April 2015. Fifty-eight children who sustained a TBI (67% of original enrolled cohort) and 72 children who sustained an OI (61% of the original enrolled cohort) were prospectively followed up from shortly after injury (between the ages of 3 and 7 years at enrollment) to an average of 6.7 years after injury, with assessments occurring at multiple points. MAIN OUTCOMES AND MEASURES: Long-term functional outcomes in everyday settings, as assessed through the Child and Adolescent Functional Assessment Scale (CAFAS). RESULTS: Of the 130 children included, the median age for those with OIs was 11.72 years and 11.97, 12.21, and 11.72 years for those with complicated mild, moderate, and severe TBIs, respectively. Children with moderate and severe TBI were rated as having more functional impairments in multiple domains than those with OIs (P < .05). Children with complicated mild TBI had greater impairments in school (odds ratio = 2.93; 95% CI = 1.10-7.82) and with thinking (odds ratio = 15.72; 95% CI = 3.31-74.73) than those with OIs. Functional impairments in children with TBI were more pronounced among children from families with higher levels of permissive (mean CAFAS of 49.71, 35.74, 58.14, and 16.16 for severe TBI, moderate TBI, complicated mild TBI, and OI, respectively, with significant difference between severe TBI and OI [difference = 33.55; P < .001] and complicated mild TBI and OI [difference = 41.98; P < .001]) or authoritarian (mean CAFAS of 56.45, 41.80, 54.90, and 17.12 for severe TBI, moderate TBI, complicated mild TBI, and OI, respectively, with significant difference between severe TBI and OI [difference = 39.33; P < .001], moderate TBI and OI [difference = 24.68; P = .003], and complicated mild TBI and OI [difference = 37.78; P < .001]) parenting or with fewer home resources (mean CAFAS of 69.57, 47.45, 49.00, and 23.81 for severe TBI, moderate TBI, complicated mild TBI, and OI, respectively, with significant difference between severe TBI and OI [difference = 45.77; P < .001], moderate TBI and OI [difference = 23.64; P < .001], and complicated mild TBI and OI [difference = 25.20; P < .001]). CONCLUSIONS AND RELEVANCE: Even children with relatively mild early TBI experience long-term functional impairments, particularly in the context of less favorable home environments. These findings suggest that improving parenting skills and the quality of the home environment may promote functional recovery following early TBI.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.033
GPT teacher head0.303
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations99
Published2016
Admission routes1
Has abstractyes

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