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Record W2382432297 · doi:10.1080/15299732.2016.1141147

Reliability of reports of childhood trauma in bipolar disorder: A test–retest study over 18 months

2016· article· en· W2382432297 on OpenAlexfundno aff
Ciarán Shannon, Donncha Hanna, Leo Tumelty, Daniel F. Waldron, Chrissie Maguire, William Mowlds, Ciaran Meenagh, Ciaran Mulholland

Bibliographic record

VenueJournal of Trauma & Dissociation · 2016
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsnot available
FundersQueen's UniversityQueen's University Belfast
KeywordsSexual abusePhysical abusePsychologyClinical psychologyPopulationPsychiatryChild abusePsychological abuseNeglectIntraclass correlationPoison controlInjury preventionMedicinePsychometricsMedical emergency

Abstract

fetched live from OpenAlex

This study aimed to explore the reliability of self-reported trauma histories in a population with a diagnosis of bipolar disorder using the Childhood Trauma Questionnaire. Previous studies in other populations suggest high reliability of trauma histories over time, and it was postulated that a similar high reliability would be demonstrated in this population. A total of 39 patients with a confirmed diagnosis (Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, criteria) were followed up and readministered the Childhood Trauma Questionnaire after 18 months. Cohen's kappa scores and intraclass correlations suggested reasonable test-retest reliability over the 18-month time period of the study for all types of childhood abuse, namely, emotional, physical, and sexual abuse and physical and emotional neglect. Intraclass correlations ranged from r = .50 (sexual abuse) to r = .96 (physical abuse). Cohen's kappas ranged from .44 (sexual abuse) to .76 (physical abuse). Retrospective reports of childhood trauma can be seen as reliable and are in keeping with results found with other mental health populations.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.055
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.011
GPT teacher head0.286
Teacher spread0.275 · 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

Citations31
Published2016
Admission routes1
Has abstractyes

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