Evidence map›Paper›PMID 29340911›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2018

Prevalence of Sexual Violence and its Association with Depression among Male and Female Patients with Risky Drug Use in Urban Federally Qualified Health Centers.

Curtis W Bone, Amelia M Goodfellow, Mani Vahidi, Lillian Gelberg

2 registry-linked trialsOpen access · bronzeAbstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 18% 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.

NCT01942876 phase2 / phase3completednot on this map

Preventing Drug Use in Low Income Clinic Populations

TypeinterventionalSponsorUniversity of California, Los AngelesRan2011 to 2013Enrolled411ConditionsDrug Use, Harmful UseArmsQuit Using Drugs Intervention Trial, Health behavior maintenance
NCT04935606 nacompletednot on this mapstarted 2021, after this paper: background citation

mHealth to Enhance & Sustain Drug Use Reduction of the QUIT BI in Primary Care

TypeinterventionalSponsorUniversity of California, Los AngelesRan2021 to 2026Enrolled457ConditionsDrug UseArmsUsual Care, QUIT Intervention (doctor brief advice, video doctor, health coaching sessions at 2- and 6-weeks), QUIT-Mobile (QUIT Intervention plus weekly mobile-web app or text message weekly self-monitoring, automated feedback over 12 months)
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Gender differences in progression to crack-cocaine use and the role of sexual and physical violence.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2022
    Article
  3. Review
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

4 authors at 2 institutions in 1 country.

Curtis W BoneYale University School of Medicine, New Haven, CT, 06511, USA. cbone25@gmail.com.
Amelia M GoodfellowDavid Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.
Mani VahidiDavid Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.
Lillian GelbergDavid Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.
University of California, Los Angeles · USYale University · US

Funding

Advancing Clinical Research Training within Addiction Residency ProgramsR25DA033211 · NIDA · BOSTON MEDICAL CENTER · PI Patrick O'Connor, JEFFREY H. SAMET · 2012 to 2026
$4.2M
Preventing Drug Use in Low Income Clinic PopulationsR01DA022445 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GELBERG, LILLIAN · 2008 to 2011
$1.8M
NIDA NIH HHS R01 DA022445NIDA NIH HHS R25 DA033211
6 · The paper itself

Abstract

Sexual violence (SV) is common; however, the prevalence of SV and its long term sequela vary geographically and among subpopulations within the USA. As such, the aims of this study are the following: (1) to determine the prevalence of SV, (2) to identify correlates of SV, and (3) to determine if SV is associated with depression among male and female risky drug users in urban Federally Qualified Health Centers (FQHCs) in Los Angeles. This study includes adult patients of five urban FQHCs who self-reported risky drug use. We identified survivors of SV and those experiencing depression through survey questions that queried, before or after age 18, "Were you ever sexually assaulted, molested or raped?" and with the RAND Mental Health Index (MHI-5). We utilized Pearson's chi-square tests to assess predictors of SV and logistic regression to assess for an association between SV and depression. Data collection took place from February 2011 to November 2012. Of the 334 study patients, 49% of females and 25% of males reported surviving SV. Exposure to SV, (both before 18 years of age and after 18 years of age) was the strongest predictor of depression among men and women in this study (OR 4.7, p < 0.05). These data demonstrate that sexual violence is prevalent in this urban FQHC population and is strongly associated with depression. Providers should consider screening both men and women with risky drug use for SV while health systems should continue to align mental health and primary care services to appropriately care for these extremely vulnerable patients. Trial Registration Clinical Trials. gov ID NCT01942876, Protocol ID DESPR DA022445, http://www.clinicaltrials.gov.

Indexed as

AdolescentAdultAgedAged, 80 and overCrime VictimsDepressive DisorderDrug UsersFemaleHumansLos AngelesMaleMiddle AgedPrevalenceSelf ReportSex OffensesSexual BehaviorAddictionDrug useFQHCGenderInterpersonal violenceSexual violenceSubstance abuse

Identifiers

PMID29340911
PMCPMC5862699
OpenAlexW2783135300

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.