Evidence map›Paper›PMID 27163712›Full record

ArticleJournal of psychoactive drugs

Risk Factors for Recent Intimate Partner Violence among Methamphetamine-Using Men and Women.

Hitomi D Hayashi, Thomas L Patterson, Shirley J Semple, Kayo Fujimoto, Jamila K Stockman

Abstract read
In one paragraph

Article in Journal of psychoactive drugs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 31% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Observational
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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

5 authors at 2 institutions in 1 country.

Hitomi D Hayashia Pre-Doctoral Fellow, Department of Health Promotion and Behavioral Sciences , University of Texas School of Public Health , Houston , TX , USA.
Thomas L Pattersonb Professor, Department of Psychiatry , University of California-San Diego , San Diego , CA , USA.
Shirley J Sempleb Professor, Department of Psychiatry , University of California-San Diego , San Diego , CA , USA.
Kayo Fujimotoa Pre-Doctoral Fellow, Department of Health Promotion and Behavioral Sciences , University of Texas School of Public Health , Houston , TX , USA.
Jamila K Stockmanc Division of Global Public Health, Department of Medicine , University of California-San Diego , San Diego , CA , USA.
University of California, San Diego · USThe University of Texas Health Science Center at Houston · US

Funding

Reducing HIV/STD risk, methamphetamine use, and depression among heterosexualsR01MH061146 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SEMPLE, SHIRLEY J. · 2001 to 2010
$5.1M
Epidemiology of HIV and Hepatitis C Among Injecting Drug Users in TijuanaR01DA019829 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI STRATHDEE, STEFFANIE A. · 2005 to 2009
$2.9M
HIV Intervention Science Training Program for Underserved Investigators R25MH080665 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI EL-BASSEL, NABILA, WU, ELWIN · 2007 to 2023
$2.8M
Impact of Violence and Power on a HIV Behavioral Intervention for Female MA UsersK01DA031593 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI STOCKMAN, JAMILA KINSHASA · 2011 to 2015
$897k
Center for HIV/AIDS Minority Pipeline in Substance Abuse Research (CHAMPS)R25DA025571 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI STRATHDEE, STEFFANIE A. · 2008 to 2010
$784k
HIV/AIDS: Translational Approaches and Health DisparitiesR25MH080664 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WYATT, GAIL E. · 2009 to 2011
$580k
The Construction of Power, IPV and HIV risk among Meth-Using Men and WomenR36DA039012 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HAYASHI, HITOMI D · 2015 to 2016
$77k
NIDA NIH HHS K01 DA031593NIDA NIH HHS R01 DA019829NIDA NIH HHS R25 DA025571NIDA NIH HHS R36 DA039012NIMHD NIH HHS L60 MD003701NIMH NIH HHS R01 MH061146NIMH NIH HHS R25 MH080664NIMH NIH HHS R25 MH080665
6 · The paper itself

Abstract

The Substance Abuse, Violence, and HIV/AIDS (SAVA) syndemic model describes how the confluence of the three epidemics of substance abuse, violence, and HIV risk work synergistically to create excess burden among populations. We sought to identify risk factors associated with recent intimate partner violence (IPV) victimization among heterosexual methamphetamine (meth)-using men (n = 108) and women (n = 122) enrolled in FASTLANE-II, an HIV behavioral intervention in San Diego, CA. Women and men reported high rates of physical-only (women: 20%; men: 18%) and sexual (women: 25%; men: 23%) IPV. Multinomial regression analysis revealed that individuals who reported lower social support and individuals who reported a greater likelihood of engaging in risky sexual behaviors while high on meth were more likely to report IPV versus no IPV. Women who reported a greater likelihood of engaging in risky sexual behaviors while high on meth were 1.58 times more likely to report physical-only IPV versus no IPV, while men who reported similar behaviors were 1.15 times more likely to report physical-only IPV versus no IPV. Our findings highlight the influence of interpersonal factors on IPV. This research supports further study on gender-specific risk/protective factors and the development of gender-specific interventions targeting the SAVA syndemic among meth users.

Indexed as

AdultAmphetamine-Related DisordersCaliforniaCrime VictimsCross-Sectional StudiesFemaleHIV InfectionsHumansIntimate Partner ViolenceMaleMethamphetamineMiddle AgedRegression AnalysisRisk FactorsRisk-TakingSex FactorsMethamphetamineDrug usegender differencesintimate partner violencemethamphetamineSAVA syndemic

Identifiers

PMID27163712
PMCPMC4882313
OpenAlexW2361070479

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.