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Record W2557684355 · doi:10.1016/j.chiabu.2016.11.004

Childhood sexual abuse and substance abuse: A gender paradox?

2016· article· en· W2557684355 on OpenAlexafffundabout
Lil Tonmyr, Margot Shields

Bibliographic record

VenueChild Abuse & Neglect · 2016
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsPublic Health Agency of Canada
FundersYork UniversityPublic Health Agency of CanadaCentre for Addiction and Mental HealthCanadian Institutes of Health ResearchUniversity of Ottawa
KeywordsSubstance abuseMental healthPsychiatryMedicineSexual abusePoison controlLogistic regressionSuicide preventionInjury preventionClinical psychologyPsychological abuseDepression (economics)Occupational safety and healthPsychologyEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

We examine associations between childhood sexual abuse (CSA) and substance abuse, the role of mental health indicators as mediators in these associations and whether or not associations differ by gender. Data are from 14,063 respondents aged 18-76 years from the 2004-2005 Canadian Gender, Alcohol, and Culture: An International Study (GENACIS). Multiple logistic regression models were used to examine associations between CSA and substance abuse variables, controlling for socio-demographic factors. Odds were adjusted by indicators of mental health to assess if these variables mediated associations between CSA and substance abuse. Tests of interactions between sex and CSA were conducted to see if gender differences exist in associations. In 2004/2005, CSA was reported by 14% of women and 5% of men. CSA was associated with heavy drinking, hazardous drinking, and the use of marijuana, other illicit drugs, and off-label drugs. Associations were only very marginally attenuated when controlling for depression and self-perceived emotional/mental health. In all cases previously observed significant associations persisted. Evidence of gender differences in associations between CSA and substance abuse was negligible. Preventing CSA may also reduce substance abuse.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.756
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.002

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 head0.019
GPT teacher head0.261
Teacher spread0.241 · 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; both teacher heads agree on what is shown here.

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

Citations57
Published2016
Admission routes3
Has abstractyes

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