Evidence map›Paper›PMID 24613219›Full record

ArticleDrug and alcohol dependence2014

Gender differences between predictors of HIV status among PWID in Ukraine.

K F Corsi, S Dvoryak, C Garver-Apgar, J M Davis, J T Brewster, O Lisovska, R E Booth

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. A "Common Factors" Approach to Developing Culturally Tailored HIV Prevention Interventions.Health education & behavior : the official publication of the Society for Public Health Education · 2016
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
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.

K F CorsiDepartment of Psychiatry, University of Colorado School of Medicine, Denver, CO, United States. Electronic address: karen.corsi@ucdenver.edu.
S DvoryakUkrainian Institute on Public Health Policy, Kiev, Ukraine.
C Garver-ApgarDepartment of Psychiatry, University of Colorado School of Medicine, Denver, CO, United States.
J M DavisDepartment of Psychiatry, University of Colorado School of Medicine, Denver, CO, United States.
J T BrewsterDepartment of Psychiatry, University of Colorado School of Medicine, Denver, CO, United States.
O LisovskaUkrainian Institute on Public Health Policy, Kiev, Ukraine.
R E BoothDepartment of Psychiatry, University of Colorado School of Medicine, Denver, CO, United States.

Funding

Peer Leaders as HIV Risk Reduction Change Agents Among IDUs in UkraineR01DA026739 · NIDA · UNIVERSITY OF COLORADO DENVER · PI BOOTH, ROBERT EDWIN · 2010 to 2014
$2.4M
NIDA NIH HHS DA-026739NIDA NIH HHS R01 DA026739
6 · The paper itself

Abstract

backgroundThe HIV epidemic in Ukraine is among the largest in Europe. While traditionally the epidemic has spread through injection risk behavior, sexual transmission is becoming more common. Previous research has found that women in Ukraine have higher rates of HIV and engage in more HIV risk behavior than men. This study extended that work by identifying risk factors that differentially predict men and women's HIV status among people who inject drugs (PWID) in Ukraine.

methodsFrom July 2010 to July 2013, 2480 sexually active PWID with unknown HIV status were recruited from three cities in Ukraine through street outreach. The average age was 31 years old.

resultsWomen, who made up twenty-eight percent of the sample, had higher safe sex self-efficacy (p<.01) and HIV knowledge (p<.001) than men, but scored higher on both the risky injection (p<.001) and risky sex (p<.001) composite scores than men. Risky sex behaviors were associated with women's HIV status more than men's. We also report results identifying predictors of risky injection and sex behaviors.

conclusionsGender-specific interventions could address problem of HIV risk among women who inject drugs in a country with a growing HIV epidemic. Our findings suggest specific ways in which intervention efforts might focus on groups and individuals who are at the highest risk of contracting HIV (or who are already HIV positive) to halt the spread of HIV in Ukraine.

Indexed as

AdolescentAdultFemaleHIV InfectionsHumansMaleRisk FactorsRisk-TakingSafe SexSelf EfficacySex DistributionSex FactorsSubstance Abuse, IntravenousUkraineUnsafe SexYoung AdultHIVInjection drug usePWIDSex riskUkraine

Identifiers

PMID24613219
PMCPMC4002293

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.