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Record W6904961660 · doi:10.14288/1.0449726

Social determinants of health and pediatric concussion recovery

2025· article· en· W6904961660 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2025
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsDisadvantagedConcussionSocial determinants of healthSports medicineCohortProspective cohort studyPoison controlInjury preventionCohort study

Abstract

fetched live from OpenAlex

Objective: To examine the relationships between social determinants of health (SDoH) and concussion outcomes in Canadian children. Methods: Secondary analysis of data collected through Advancing Concussion Assessment in Pediatrics (A-CAP), a prospective longitudinal cohort study. Children aged 8 to 16 with concussion (n=633) or orthopedic injury (OI; n=334) were recruited from 5 Canadian pediatric emergency departments. Post-concussion symptoms were measured with the Health and Behavior Inventory weekly for 3 months and biweekly from 3 to 6 months post-injury. Associations between SDoH (i.e., race, household income, parental education, insurance status, neighborhood deprivation) and their interactions with time and post-concussion symptom severity were assessed with linear mixed-effects models. Interactions between household-level and neighborhood-level SDoH and the joint impact of all SDoH were assessed with generalized linear models at 3-months post-injury. Results: Individual SDoH (race, parental education, neighborhood deprivation but not household income or insurance status) were associated with modest differences in post-injury somatic symptom reporting. Similar but weaker (and not statistically significant) patterns were observed for child- and parent- reported cognitive symptoms. Considering all SDoH together contributed to the prediction of injury outcome over and above injury type (concussion vs OI) and known prognostic factors (5P risk score) for three (child-reported cognitive and somatic and parent-reported somatic symptoms) out of the four outcomes at 3-months post-injury. The hypothesis that household and neighborhood metrics of SDoH interact, such that neighborhood deprivation only impacts post-concussion outcomes for children from disadvantaged households, was not supported. Conclusions: Individual SDoH may subtly influence recovery following concussion in Canadian children, but the joint impact of multiple SDoH likely has a stronger effect on recovery.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.867
Threshold uncertainty score0.267

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.282
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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