Evidence map›Paper›PMID 39267284›Full record

ArticleCriminal behaviour and mental health : CBMH2024

Psychopathy traits explain variance shared between features of substance use disorders and violence.

Samuel R Vincent, Emily E Graupman, William J McGarrigle, David S Kosson

Abstract read
In one paragraph

Article in Criminal behaviour and mental health : CBMH, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Samuel R VincentDepartment of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA.ORCID https://orcid.org/0000-0003-3597-6399
Emily E GraupmanDepartment of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA.
William J McGarrigleDepartment of Psychology, University of Kentucky, Lexington, Kentucky, USA.
David S KossonDepartment of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA.

Funding

COGNITIVE PROCESSING DEFICITS OF CRIMINAL PSYCHOPATHSR01MH057714 · NIMH · ROSALIND FRANKLIN UNIV OF MEDICINE &SCI · PI KOSSON, DAVID STEVEN · 1999 to 2002
$416k
NIMH NIH HHS MH57714NIMH NIH HHS R01 MH057714
6 · The paper itself

Abstract

backgroundThere is a substantial research literature on identifying risk and protective factors for violence perpetration. Substance use disorders have long been identified as constituting a significant predictor of violent behaviour. Psychopathy traits have also been similarly recognised, but inter-relationships between psychopathy traits, features of substance use disorders and violence have been little explored.

aimsTo determine the degree to which shared variance between substance dependence symptoms and violence, as indicated by criminal charges for violent offences, among jailed men can be explained by psychopathy traits.

methodsFeatures of dependence on substances in three drug classes (alcohol, cannabis and cocaine) were assessed in a sample of 682 men in a county jail awaiting trial on criminal charges, many for violent offences. Statistical comparisons of zero-order and partial correlations tested whether accounting for psychopathy total and facet scores, assessed by the Psychopathy Checklist-Revised (PCL-R), affected associations between substance dependence symptoms and violent charges.

resultsTotal PCL-R scores accounted for a significant proportion of the shared variance between the history of criminal charges for violence offences and lifetime substance dependence symptoms in all three drug classes. At the facet level, controlling for ratings on the interpersonal and modified antisocial facets reduced the association between criminal charges for violent offences and symptoms of cocaine dependence; controlling for ratings on a modified antisocial facet also attenuated links between alcohol and cannabis dependence symptoms and history of charges for violent offences.

conclusionThese findings build on the sparse literature to date on the role of psychopathy traits on relationships between features of substance use disorders and violence. Given that the observed connection between substance dependence symptoms and charges for violent offences is partly accounted for by individual differences in psychopathy traits, it follows that effective treatment for those traits may be useful, perhaps essential to reducing links between features of some substance use disorders and violent offending.

Indexed as

Antisocial Personality DisorderCriminalsSubstance-Related DisordersViolenceAdultCocaine-Related DisordersHumansMaleMiddle AgedYoung Adultincarcerated samplepsychopathyshared variancesubstance dependenceviolence

Identifiers

PMID39267284
PMCPMC11625409

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.