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Record W4399841833 · doi:10.1177/10775595241264009

Emergency Department Presentations for Injuries Following Agency-Notified Child Maltreatment: Results From the Childhood Adversity and Lifetime Morbidity (CALM) Study

2024· article· en· W4399841833 on OpenAlexaff
Mike Trott, Claudia Bull, Urška Arnautovska, Dan Siskind, Nicola Warren, Jake M. Najman, Steve Kisely

Bibliographic record

VenueChild Maltreatment · 2024
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsDalhousie University
FundersNational Health and Medical Research CouncilMetro South Health
KeywordsPoison controlMedicineSuicide preventionInjury preventionPhysical abuseOccupational safety and healthVictimisationEmergency departmentChild abusePsychiatryMedical emergency

Abstract

fetched live from OpenAlex

Child maltreatment (CM) is associated with negative health outcomes in adulthood, including deliberate self-harm (DSH), suicidal behaviours, and victimisation. It is unknown if associations extend to emergency department (ED) presentations for non-DSH related injuries. Birth cohort study data was linked to administrative health data, including ED presentations for non DSH related injuries and agency-reported and substantiated notifications for CM. Adjusted analyses ( n = 6087) showed that any type of agency-reported notification for CM was significantly associated with increased odds of ED presentation for injuries (aOR = 1.57; 95% CI 1.32–1.87). In moderation analyses, women yielded significantly higher odds of notified and substantiated physical abuse, substantiated emotional abuse, and being subject to more than one type of substantiated abuse than males. ED presentations for injuries could be a proxy for risky behaviours, disguised DSH/suicidal behaviours, or physical abuse. The consistent findings in women may point to victimisation via interpersonal violence.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.519
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.028
GPT teacher head0.311
Teacher spread0.283 · 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.

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

Citations5
Published2024
Admission routes1
Has abstractyes

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