Literature DB >> 22692841

Differing HIV risks and prevention needs among men and women injection drug users (IDU) in the District of Columbia.

Manya Magnus1, Irene Kuo, Gregory Phillips, Anthony Rawls, James Peterson, Luz Montanez, Tiffany West-Ojo, Yujiang Jia, Jenevieve Opoku, Nnemdi Kamanu-Elias, Flora Hamilton, Angela Wood, Alan E Greenberg.   

Abstract

Washington, DC has among the highest HIV/AIDS rates in the US. Gender differences among injection drug users (IDUs) may be associated with adoption of prevention opportunities including needle exchange programs, HIV testing, psychosocial support, and prevention programming. National HIV Behavioral Surveillance data on current IDUs aged ≥18 were collected from 8/09 to 11/09 via respondent-driven sampling in Washington, DC. HIV status was assessed using oral OraQuick with Western Blot confirmation. Weighted estimates were derived using RDSAT. Stata was used to characterize the sample and differences between male and female IDU, using uni-, bi-, and multivariable methods. Factors associated with HIV risk differed between men and women. Men were more likely than women to have had a history of incarceration (86.6 % vs. 66.8 %, p < 0.01). Women were more likely than men to have depressive symptoms (73.9 % vs. 47.4 %, p < 0.01), to have been physically or emotionally abused (66.1 % vs. 16.1 %, p < 0.0001), to report childhood sexual abuse (42.7 % vs. 4.7 %, p < 0.0001), and pressured or forced to have sex (62.8 % vs. 4.0 %, p < 0.0001); each of these differences was significant in the multivariable analysis. Despite a decreasing HIV/AIDS epidemic among IDU, there remain significant gender differences with women experiencing multiple threats to psychosocial health, which may in turn affect HIV testing, access, care, and drug use. Diverging needs by gender are critical to consider when implementing HIV prevention strategies.

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Year:  2013        PMID: 22692841      PMCID: PMC3579300          DOI: 10.1007/s11524-012-9687-5

Source DB:  PubMed          Journal:  J Urban Health        ISSN: 1099-3460            Impact factor:   3.671


  42 in total

1.  Unprotected sexual behavior among heterosexual HIV-positive injection drug using men: associations by partner type and partner serostatus.

Authors:  David W Purcell; Yuko Mizuno; Lisa R Metsch; Richard Garfein; Karin Tobin; Kelly Knight; Mary H Latka
Journal:  J Urban Health       Date:  2006-07       Impact factor: 3.671

2.  Recruiting injection drug users: a three-site comparison of results and experiences with respondent-driven and targeted sampling procedures.

Authors:  William T Robinson; Jan M H Risser; Shanell McGoy; Adam B Becker; Hafeez Rehman; Mary Jefferson; Vivian Griffin; Marcia Wolverton; Stephanie Tortu
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

3.  Needle-sharing among young IV drug users and their social network members: The influence of the injection partner's characteristics on HIV risk behavior.

Authors:  Jennifer B Unger; Michele D Kipke; Christine J De Rosa; Justeen Hyde; Anamara Ritt-Olson; Susanne Montgomery
Journal:  Addict Behav       Date:  2006-02-03       Impact factor: 3.913

4.  Gender differences in sexual behaviors, sexual partnerships, and HIV among drug users in New York City.

Authors:  Judith Absalon; Crystal M Fuller; Danielle C Ompad; Shannon Blaney; Beryl Koblin; Sandro Galea; David Vlahov
Journal:  AIDS Behav       Date:  2006-11

5.  From networks to populations: the development and application of respondent-driven sampling among IDUs and Latino gay men.

Authors:  Jesus Ramirez-Valles; Douglas D Heckathorn; Raquel Vázquez; Rafael M Diaz; Richard T Campbell
Journal:  AIDS Behav       Date:  2005-12

6.  Depressive symptoms, quality of life, and neuropsychological performance in HIV/AIDS: the impact of gender and injection drug use.

Authors:  Amy B Wisniewski; Samantha Apel; Ola A Selnes; Avindra Nath; Justin C McArthur; Adrian S Dobs
Journal:  J Neurovirol       Date:  2005-04       Impact factor: 2.643

7.  Implementation and analysis of respondent driven sampling: lessons learned from the field.

Authors:  Abu S Abdul-Quader; Douglas D Heckathorn; Keith Sabin; Tobi Saidel
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

8.  Respondent-driven sampling in a study of drug users in New York City: notes from the field.

Authors:  Courtney McKnight; Don Des Jarlais; Heidi Bramson; Lisa Tower; Abu S Abdul-Quader; Chris Nemeth; Douglas Heckathorn
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

9.  Methods to recruit hard-to-reach groups: comparing two chain referral sampling methods of recruiting injecting drug users across nine studies in Russia and Estonia.

Authors:  Lucy Platt; Martin Wall; Tim Rhodes; Ali Judd; Matthew Hickman; Lisa G Johnston; Adrian Renton; Natalia Bobrova; Anya Sarang
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

10.  An analysis of respondent driven sampling with Injection Drug Users (IDU) in Albania and the Russian Federation.

Authors:  Ame Stormer; Waimar Tun; Lisa Guli; Arjan Harxhi; Zinaida Bodanovskaia; Anna Yakovleva; Maia Rusakova; Olga Levina; Roland Bani; Klodian Rjepaj; Silva Bino
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

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  18 in total

1.  Differential risk factors for HIV drug and sex risk-taking among non-treatment-seeking hospitalized injection drug users.

Authors:  Denise Crooks; Judith Tsui; Bradley Anderson; Shernaz Dossabhoy; Debra Herman; Jane M Liebschutz; Michael D Stein
Journal:  AIDS Behav       Date:  2015-03

2.  HIV medical providers' perceptions of the use of antiretroviral therapy as nonoccupational postexposure prophylaxis in 2 major metropolitan areas.

Authors:  Allan E Rodríguez; Amanda D Castel; Carrigan L Parish; Sarah Willis; Daniel J Feaster; Michael Kharfen; Gabriel A Cardenas; Kira Villamizar; Michael Kolber; Liliana Vázquez-Rivera; Lisa R Metsch
Journal:  J Acquir Immune Defic Syndr       Date:  2013-11-01       Impact factor: 3.731

Review 3.  HIV, HCV, and Health-Related Harms Among Women Who Inject Drugs: Implications for Prevention and Treatment.

Authors:  Jenny Iversen; Kimberly Page; Annie Madden; Lisa Maher
Journal:  J Acquir Immune Defic Syndr       Date:  2015-06-01       Impact factor: 3.731

4.  A Brief Screening Tool to Assess the Risk of Contracting HIV Infection Among Active Injection Drug Users.

Authors:  Dawn K Smith; Yi Pan; Charles E Rose; Sherri L Pals; Shruti H Mehta; Gregory D Kirk; Jeffrey H Herbst
Journal:  J Addict Med       Date:  2015 May-Jun       Impact factor: 3.702

5.  Depression Among People Who Inject Drugs and Their Intimate Partners in Kazakhstan.

Authors:  Stacey A Shaw; Nabila El-Bassel; Louisa Gilbert; Assel Terlikbayeva; Tim Hunt; Sholpan Primbetova; Yelena Rozental; Mingway Chang
Journal:  Community Ment Health J       Date:  2015-05-12

6.  Development of an HIV Testing Dashboard to Complement the HIV Care Continuum Among MSM, PWID, and Heterosexuals in Washington, DC, 2007-2015.

Authors:  Rudy Patrick; Alan Greenberg; Manya Magnus; Jenevieve Opoku; Michael Kharfen; Irene Kuo
Journal:  J Acquir Immune Defic Syndr       Date:  2017-07-01       Impact factor: 3.731

7.  History of Sex Exchange in Women with a History of Incarceration.

Authors:  Amanda J Noska; Mary B Roberts; Carolyn Sufrin; L A R Stein; Curt G Beckwith; Josiah D Rich; Emily F Dauria; Jennifer G Clarke
Journal:  J Health Care Poor Underserved       Date:  2016

8.  Correlates of Sexual Coercion among People Who Inject Drugs (PWID) in Los Angeles and San Francisco, CA.

Authors:  Jeffery E Williams; Derek T Dangerfield; Alex H Kral; Lynn D Wenger; Ricky N Bluthenthal
Journal:  J Urban Health       Date:  2019-06       Impact factor: 3.671

9.  'Pure' drug users, commercial sex workers and 'ordinary girls': gendered narratives of HIV risk and prevention in post-Soviet Ukraine.

Authors:  Jill Owczarzak; Sarah D Phillips; Woojeong Cho
Journal:  Cult Health Sex       Date:  2018-02-08

10.  The micro-social risk environment for injection drug use: An event specific analysis of dyadic, situational, and network predictors of injection risk behavior.

Authors:  Patrick Janulis
Journal:  Int J Drug Policy       Date:  2015-10-31
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