MétaCan
Menu
Back to cohort
Record W2900972451 · doi:10.1002/car.2530

Quantifying the Relationship between Attention‐Deficit/Hyperactivity Disorder and Experiences of Child Maltreatment: A Meta‐Analysis

2018· article· en· W2900972451 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChild Abuse Review · 2018
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAttention deficit hyperactivity disorderPsychologyOdds ratioMeta-analysisAssociation (psychology)OddsClinical psychologyPoison controlInjury preventionPsychiatryChild abuseMedicineLogistic regressionMedical emergencyPsychotherapist

Abstract

fetched live from OpenAlex

The purpose of this study was to examine the association between attention‐deficit/hyperactivity disorder (ADHD) and experiences of child maltreatment. This study employed several meta‐analyses. Studies included in the meta‐analysis contained a comparison of experiences of child maltreatment in individuals with and without ADHD or assessed the relationship between ADHD symptoms and experiences of child maltreatment. There were 18 studies that met the eligibility criteria. Individuals with ADHD had higher odds of having been maltreated in childhood compared to individuals without ADHD (odds ratio = 2.39, p < 0.001). There was a significant association between ADHD symptoms and experiences of child maltreatment ( r = 0.28, p < 0.001). Clinicians need to be cognisant of the risk of child maltreatment when working with individuals with ADHD, and vice versa. ‘Examine[s] the association between ADHD and experiences of child maltreatment’

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.

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 score0.175
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.137
GPT teacher head0.380
Teacher spread0.243 · 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