Evidence map›Paper›PMID 28728642›Full record

ArticleJournal of studies on alcohol and drugs2017

A Latent Profile Analysis of Aggression and Victimization Across Relationship Types Among Veterans Who Use Substances.

RaeAnn E Anderson, Erin E Bonar, Maureen A Walton, Jason E Goldstick, Sheila A M Rauch, Quyen M Epstein-Ngo, Stephen T Chermack

Registry-linked trialAbstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01337973 (Impact of Interventions to Reduce Violence and Substance Abuse Among VA Patients), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01337973 nacompletednot on this map

Impact of Interventions to Reduce Violence and Substance Abuse Among VA Patients

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2012 to 2017Enrolled180ConditionsAggression, Substance-Related DisordersArmsMI-CBT, MI-CBT+CC, E-TAU
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

RaeAnn E AndersonDepartment of Psychological Sciences, Kent State University, Kent, Ohio.
Erin E BonarAddiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, Michigan.
Maureen A WaltonAddiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, Michigan.
Jason E GoldstickInjury Center, Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan.
Sheila A M RauchDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia.
Quyen M Epstein-NgoInjury Center, Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan.
Stephen T ChermackMental Health Service, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan.
University of Michigan–Ann Arbor · USEmory University · USInstitute for Women's Policy Research · USKent State University · USVA Ann Arbor Healthcare System · US

Funding

Drug Use and Sexual Risk Behaviors Among Emerging Adults in the ERK23DA036008 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BONAR, ERIN E. · 2013 to 2017
$851k
Remote Therapy for Alcohol and Dating Aggression in Non-College Emerging Adults.K23AA022641 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NGO, QUYEN MAI · 2015 to 2019
$813k
Substance use, violence and HIV risk: Age-specific risk factors and drivers of comorbidity.R03DA039003 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CUNNINGHAM, REBECCA M., GOLDSTICK, JASON ELLIOTT · 2015 to 2016
$154k
NIAAA NIH HHS K23 AA022641NIDA NIH HHS K23 DA036008NIDA NIH HHS R03 DA039003
6 · The paper itself

Abstract

objectiveThis study examined patterns of violence victimization and aggression in both intimate partner and nonpartner relationships among U.S. military veterans using latent profile analysis to identify subtypes of violence involvement.

methodParticipants were 839 substance use treatment-seeking veterans (93% male) from a large Veterans Affairs Medical Center who completed screening measures for a randomized controlled trial.

resultsPast-year violence involvement, including both intimate partner violence (IPV) and nonpartner violence (NPV), was common in the sample, although NPV occurred at somewhat higher rates. When we included either IPV or NPV aggression or victimization, more than 40% reported involvement with physical violence, 30% with violence involving injury, and 86% with psychological aggression. Latent profile analysis including both aggression and victimization in partner and nonpartner relationships indicated a four-profile solution: no/low violence (NLV; n = 377), predominantly IPV (n = 219), predominantly NPV (n = 134), and high general violence (HGV; n = 109). Multinomial logistic regression analyses revealed that, compared with the NLV group, the remaining three groups differed in age, cocaine use, posttraumatic stress disorder (PTSD) symptoms, and legal involvement. Legal issues appeared to differentiate the profiles most, with the predominantly NPV and HGV profiles reporting more instances of driving under the influence and the HGV profile reporting legal problems related to aggression.

conclusionsIPV and NPV are fairly common among veterans seeking substance use treatment. The clinical characteristics of violence profiles indicate that cocaine use, PTSD symptoms, and legal involvement are treatment needs that vary with violence profile and may be useful for clinical decision making.

Indexed as

Crime VictimsAdultAggressionFemaleHumansIntimate Partner ViolenceMaleMiddle AgedStress Disorders, Post-TraumaticSubstance-Related DisordersVeteransViolence

Identifiers

PMID28728642
PMCPMC5551664
OpenAlexW2741771884

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.