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Record W2952376102 · doi:10.1177/0886260519853407

The Toxic Triad: Childhood Exposure to Parental Domestic Violence, Parental Addictions, and Parental Mental Illness as Factors Associated With Childhood Physical Abuse

2019· article· en· W2952376102 on OpenAlexafffund
Esme Fuller‐Thomson, Jami-Leigh Sawyer, Senyo Agbeyaka

Bibliographic record

VenueJournal of Interpersonal Violence · 2019
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity Health NetworkUniversity of Toronto
FundersUniversity of TorontoUniversity Health Network
KeywordsPhysical abusePsychiatryMedicineDomestic violenceMental healthChild abuseBehavioral Risk Factor Surveillance SystemPoison controlAddictionMental illnessInjury preventionSuicide preventionClinical psychologyEnvironmental healthPopulation

Abstract

fetched live from OpenAlex

Childhood physical abuse can result in serious behavioral, mental health, and physical health conditions. There is a need for improved strategies to identify households in which childhood physical abuse occurs. This article explores three potential correlates of childhood physical abuse: childhood exposure to parental domestic violence, parental addictions, and parental mental illness. Secondary analyses were conducted using the regionally representative 2010 Brief Risk Factor Surveillance Survey (BRFSS) of adults ( n = 9,241 men, n = 13,627 women) and the analyses were replicated in the 2012 BRFSS ( n = 11,656 men, n = 18,145 women). Bivariate and logistic regression analyses were conducted. Approximately one-quarter of the sample was Hispanic and/or Non-White. In 2010, 78.3% of men who had been exposed to all three of these early adversities reported that they had experienced childhood physical abuse compared with 7.5% of males who did not experience these adversities. Women reported similar levels of childhood physical abuse (66.9% for those reporting all three factors, 5.9% for those with zero risk factors). The 2012 BRFSS analyses resulted in comparable findings. Domestic violence, even in the absence of parental addictions and mental illness, was associated with a high prevalence of childhood physical abuse (between 34% and 38%). Currently, the World Health Organization cautions against routine screening for child abuse due to the high rate of false positives. We propose a two-step strategy to improve targeting: first, identifying households in which two or more adversities exist, and subsequently screening children in these households. Our findings will help improve the targeting of screening and outreach efforts to children most at risk, thereby minimizing the risk of false positives. Our data provide support for universal screening for childhood physical abuse in cases of domestic violence, particularly for those families where parental addictions and/or parental mental illness also exist.

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 score0.085
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.266
Teacher spread0.258 · 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

Citations19
Published2019
Admission routes2
Has abstractyes

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