Evidence map›Paper›PMID 29905502›Full record

Observational studyJournal of women's health (2002)2018

HIV Risk Characteristics Associated with Violence Against Women: A Longitudinal Study Among Women in the United States.

Brooke E E Montgomery, Paula M Frew, James P Hughes, Jing Wang, Adaora A Adimora, Danielle F Haley, Irene Kuo, Larissa Jennings, Nabila El-Bassel, Sally L Hodder

Open access · greenAbstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Journal of women's health (2002), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 21% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 7 institutions in 1 country.

Brooke E E Montgomery1 Department of Health Behavior and Health Education, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences , Little Rock, Arkansas.
Paula M Frew2 Department of Medicine, Emory University School of Medicine , Atlanta, Georgia .
James P Hughes5 Department of Biostatistics, University of Washington , Seattle, Washington.
Jing Wang6 Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center , Seattle, Washington.
Adaora A Adimora7 UNC School of Medicine and UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina.
Danielle F Haley8 Institute for Global Health and Infectious Diseases , School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Irene Kuo9 Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, George Washington University , Washington, District of Columbia.
Larissa Jennings10 Department of International Health, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland.
Nabila El-Bassel11 Columbia University School of Social Work , New York, New York.
Sally L Hodder12 West Virginia Clinical and Translational Science Institute , Morgantown, West Virginia.
University of North Carolina at Chapel Hill · USEmory University · USFred Hutch Cancer Center · USJohns Hopkins University · USSouthern California Clinical and Translational Science Institute · USUniversity of Arkansas for Medical Sciences · USUniversity School · US

Funding

SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Laura F. Gibson · 2012 to 2026
$81.0M
NIAID NIH HHS UM1 AI068617NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

backgroundUsing data from HIV Prevention Trials Network 064, a multisite, observational cohort study conducted to estimate HIV incidence rates among women living in areas of high poverty and HIV prevalence in the United States, we examined the use of HIV risk characteristics to predict emotional abuse, physical violence, and forced sex.

methodsParticipants included 2099 women, 18-44 years of age, who reported unprotected vaginal or anal sex with a male partner and an additional personal or perceived male partner HIV risk characteristic in the past 6 months. Adjusting for time-varying covariates, generalized estimating equations were used to assess the ability of HIV risk characteristics to predict violence 6 months later.

resultsReported analyses were limited to the 1980 study participants who reported having a male sex partner at that assessment. Exchanging sex, perceived partner concurrency, and perceived partner incarceration were significantly predictive of emotional abuse 6 months later (adjusted odds ratio [AOR]: 1.60; 1.59; 1.34, respectively). Prior sexually transmitted infection diagnosis, exchanging sex, and binge drinking were significantly predictive of physical violence 6 months later (AOR: 1.62; 1.71; 1.47, respectively). None of the variables measured was significantly predictive of forced sex.

conclusionsStrategies that address reducing violence against women should be studied further in the context of HIV prevention programs.

Indexed as

HIV InfectionsIntimate Partner ViolenceSexually Transmitted DiseasesWomen's HealthAdultBinge DrinkingFemaleHumansLongitudinal StudiesMalePrevalencePrognosisRisk AssessmentRisk FactorsSexual PartnersSocioeconomic FactorsHIV risk factorslongitudinal analysisviolence against women

Identifiers

PMID29905502
PMCPMC6247378
OpenAlexW2808078171

What OpenQuestion holds

Textmetadata
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.