MétaCan
Menu
Back to cohort

Nightly Sleep Duration and Symptom Burden Over 1 Month Following Pediatric Concussion

2025· article· en· W4411413705 on OpenAlexafffundabout
Lauren Butterfield, Roger Zemek, Michael M. Borghese, Vid Bijelić, Veronik Sicard, Nicholas Kuzik, Mark S. Tremblay, Keith Owen Yeates, Andrée‐Anne Ledoux, Candice McGahern, Tyrus Crawford, Lauren Dawson, Sarah Reid, Ken J. Farion, Gurinder Sangha, Adrienne L. Davis, Carol DeMatteo

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of CalgaryHealth CanadaUniversity of OttawaCarleton UniversityChildren's Hospital of Eastern Ontario
FundersPhysicians' Services Incorporated FoundationCanadian Institutes of Health ResearchUniversity of Ottawa
KeywordsMedicineConcussionCohortPhysical therapyPoison controlPediatricsOdds ratioSleep (system call)Cohort studySleep disorderInjury preventionEmergency medicineInternal medicinePsychiatryInsomnia

Abstract

fetched live from OpenAlex

Importance: Approximately half of all youths with concussions report sleep disturbance, including short and long sleep durations, in the first week of recovery. Limited longitudinal research exists regarding the association between sleep duration and symptom burden during acute pediatric concussion recovery. Objective: To investigate the association between mean nightly sleep duration over 1 week (days 1 to 7) and 2 weeks (days 1 to 14) postinjury and subsequent symptom burden at 1, 2, and 4 weeks following pediatric concussion. Design, Setting, and Participants: This cohort study used data from a randomized clinical trial conducted in 3 emergency pediatric departments in Ontario, Canada, from March 2017 to December 2019 (with secondary analysis conducted between September 2022 and September 2024). Eligible participants were between ages 10 years and 18 years who received treatment for a concussion within 48 hours. Exposure: Sleep postinjury was measured with waist-worn accelerometers 24 hours per day for 2 weeks and daily sleep logs. Main Outcomes and Measures: Symptom burden was measured with the Health and Behavior Inventory at 1 week, 2 weeks, and 4 weeks postconcussion. A nonlinear mixed-effects model was applied that estimated symptom burden at 1, 2, and 4 weeks from mean sleep duration over days 1 to 7 and days 1 to 14. Logistic regressions were performed to assess the odds of being reliably symptomatic at 2 and 4 weeks by mean sleep duration. Conservative (z ≥ 1.65) and liberal (z ≥ 1.28) definitions of reliable change in symptoms were evaluated. All models compared 10th vs 50th, 25th vs 75th, and 50th vs 90th percentile contrasts, and were adjusted for prognostic pre-injury demographic and baseline injury variables. Results: A total of 291 participants (median [IQR] age, 13.2 [11.6-14.9] years; 128 female [44.0%]) were included in the main analysis. Mean nightly sleep duration beyond 9.5 hours in the first week postconcussion was associated with higher symptom burden at 1 week (75th percentile [10.5 h] vs 25th percentile [9.5 h]: estimate, 1.3 [95% CI, 0.25-2.28]; 90th percentile [11.3 h] vs 50th percentile [10.0 h]: estimate, 2.9 [95% CI, 1.22-4.69]). Mean sleep duration beyond 9.9 hours in the first 2 weeks postconcussion was associated with higher symptom burden at 2 weeks (90th percentile [10.9 h] vs 50th percentile [9.9 h]: estimate, 2.2 [95% CI, 0.85-3.47]) and 4 weeks (estimate, 2.2 [95% CI, 0.85-3.47]), and increased odds of persisting symptoms at 4 weeks (conservative: odds ratio [OR], 1.73 [95% CI, 0.91-3.26]; liberal: OR, 1.93 [95% CI, 1.07-3.47]). Conclusions and Relevance: In this observational study of adolescents, average nightly sleep durations beyond 9.9 hours over the first 2 weeks of concussion recovery were associated with high symptom burden and persistent symptoms. Clinicians should monitor youths' sleep after concussions.

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 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)0.001
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 score0.261
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.338
Teacher spread0.314 · 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".

Quick stats

Citations2
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueJAMA Network OpenSame topicTraumatic Brain Injury ResearchFrench-language works237,207