Evidence map›Paper›PMID 26434671›Full record

ArticleInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2016

Socio-structural and behavioral risk factors associated with trafficked history of female bar/spa entertainers in the sex trade in the Philippines.

Lianne A Urada, Sonja Halterman, Anita Raj, Kiyomi Tsuyuki, Nymia Pimentel-Simbulan, Jay G Silverman

Abstract read
In one paragraph

Article in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 4% 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, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  3. Article
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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

6 authors at 2 institutions in 2 countries.

Lianne A UradaDivision of Global Public Health, Department of Medicine, University of California, San Diego, La Jolla, CA, USA. Electronic address: lurada@ucsd.edu.
Sonja HaltermanSchool of Medicine, University of California, San Diego, La Jolla, CA, USA.
Anita RajDivision of Global Public Health, Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
Kiyomi TsuyukiDivision of Global Public Health, Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
Nymia Pimentel-SimbulanDepartment of Behavioral Sciences, College of Arts and Sciences, University of the Philippines, Manila, Philippines.
Jay G SilvermanDivision of Global Public Health, Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
University of California, San Diego · USUniversity of the Philippines Manila · PH

Funding

Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZACK, JEROME A. · 1991 to 2018
$39.9M
Training Program in Substance Use, HIV and Related InfectionsT32DA023356 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Natasha Martin, Steffanie A Strathdee · 2007 to 2026
$7.8M
Training Program in HIV Prevention Research EthicsR25DA031608 · NIDA · FORDHAM UNIVERSITY · PI FISHER, CELIA B · 2011 to 2025
$4.9M
Evolving HIV/STI risk environments of FSWs on the Mexico/U.S. BorderR01DA028692 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BROUWER, KIMBERLY C · 2010 to 2014
$3.2M
Community Mobilization and HIV/STI Epidemiology of Female Sex Workers in MexicoK01DA036439 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI URADA, LIANNE A · 2014 to 2018
$938k
NIAID NIH HHS P30 AI028697NIDA NIH HHS 3R01DA028692-04S1NIDA NIH HHS K01 DA036439NIDA NIH HHS K01DA036439NIDA NIH HHS R01 DA028692NIDA NIH HHS R25 DA031608NIDA NIH HHS R25DA031608-02NIDA NIH HHS T32 DA023356NIDA NIH HHS T32DA023356
6 · The paper itself

Abstract

objectiveTo explore factors associated with trafficking (deceptive/coercive entry to sex trade) among female bar/spa entertainers who traded sex in the Philippines.

methodFemale bar/spa entertainers who traded sex in the past 6months were recruited from 25bar/spa venues in Metro Manila (April 2009-January 2010) and assessed via cross-sectional survey data collection for HIV-risk-related socio-structural factors associated with deceptive/coercive entry into the sex trade. The study employed hierarchical linear modeling.

resultsOf 166bar/spa entertainers assessed, 19 (11.4%) reported being deceived/coerced (i.e. trafficked) into their first jobs. Trafficking history was independently associated with current drug use (adjusted odds ratio [AOR] 2.05; 95% confidence interval [CI] 1.00-3.97) decreased availability of condoms at venues for entertainers (AOR 0.18; 95% CI 0.05-0.71) and, conversely, increased peer support for practicing safer sex behaviors (AOR 3.08; 95% CI 1.63-5.09). Those deceived/coerced into their positions were more likely than non-trafficked women to have been recruited by an agency who came to their rural province (AOR 12.07; 95% CI 1.77-82.25) as opposed to getting the job from advertisement (AOR 0.10; 95% CI 0.02-0.65) or a friend/acquaintance (AOR 0.02; 95% CI 0.00-0.48).

conclusionThe findings have implications for designing interventions to prevent and target trafficked women in the Philippines who may be more vulnerable to substance use and, potentially, HIV infection.

Indexed as

CoercionDeceptionSocioeconomic FactorsAdolescentAdultCondomsCross-Sectional StudiesFemaleHIV InfectionsHumansHuman TraffickingLinear ModelsPhilippinesRisk FactorsSafe SexSex WorkersHIV/AIDSSexually transmitted infectionsSex workSocio-structural factorsTrafficking

Identifiers

PMID26434671
PMCPMC4715926
OpenAlexW1682859293

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.