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Child maltreatment and mental health problems in 30-year-old adults: A birth cohort study

2020· article· en· W3039326899 on OpenAlexaff
Steve Kisely, Lane Strathearn, Jake M. Najman

Bibliographic record

VenueJournal of Psychiatric Research · 2020
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPsychiatrySexual abuseChild abuseNeglectCIDIAnxietyPsychological abusePoison controlClinical psychologyPhysical abuseMedicinePsychologyDepression (economics)Suicide preventionAnxiety disorderMedical emergency

Abstract

fetched live from OpenAlex

Retrospective studies have shown a high association between child abuse and subsequent psychiatric morbidity. Prospective studies are rarer with limited data at 30-year follow-up. This was a prospective record-linkage analysis to examine whether notified and/or substantiated child maltreatment was associated with adverse psychological outcomes in early adulthood when participants were 30 years old. We used data from 2861 young adults who completed the 30-year follow-up phase of the Mater-University of Queensland Study of Pregnancy and its Outcomes, a prospective study commenced in 1981. Exposure to suspected child maltreatment was measured by linkage with state child protection data. The primary outcomes were DSM-IV diagnoses derived from the Composite International Diagnostic Interview-Auto version (CIDI). There were child abuse notifications on 171 participants, of which 103 were substantiated. The most common notifications were for physical abuse (n=96) followed by emotional abuse and neglect (n=80 each). There were 63 notifications of sexual abuse. Of those completing the CIDI at follow-up, 257 participants (9%) reported a depressive disorder, 703 (25%) an anxiety disorder and 138 (5%) PTSD. After adjustment for potential confounders, there were variations in the long-term effects of different types of abuse with physical abuse having a stronger association with depression, and sexual abuse with PTSD. Both emotional abuse and neglect were associated to varying degrees with depression, anxiety and PTSD. Substantiated abuse or multiple forms of abuse had generally the worst outcomes.

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)0.000
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 score0.032
Threshold uncertainty score0.925

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.378
Teacher spread0.336 · 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

Citations55
Published2020
Admission routes1
Has abstractno

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