Literature DB >> 16639349

A bridge over troubled waters: factors associated with non-injection drug users having injection drug-using sex partners.

David L Howard1, Carl A Latkin.   

Abstract

OBJECTIVES: To examine factors associated with noninjectors having 1 or more injection drug users as sex partners.
METHODS: We collected data as a part of the Self-Help in Eliminating Life Threatening Diseases study, a network-oriented experimental HIV prevention intervention. All eligible participants were administered a detailed face-to-face interview on their sociodemographic background, patterns of drug use, HIV prevention and risk behaviors, and social networks. The sample for these analyses consisted of 863 noninjectors, 97 of whom had 1 or more injection drug-using sex partners.
RESULTS: Among the factors associated with an increased odds of having 1 or more injecting sex partners were long-term unemployment, increasing proportion of women in network (among male noninjectors), increasing number of recent sex partners (among former injectors), increasing number of injecting non-sex partners in the network, and increasing network size above 15.
CONCLUSIONS: There are specific network characteristics associated with noninjectors having injecting sex partners.

Entities:  

Mesh:

Year:  2006        PMID: 16639349     DOI: 10.1097/01.qai.0000214819.88163.22

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  14 in total

1.  The relationship between social network factors, HIV, and Hepatitis C among injection drug users in Chennai, India.

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Review 2.  Optimizing care for HIV-infected people who use drugs: evidence-based approaches to overcoming healthcare disparities.

Authors:  Jaimie P Meyer; Amy L Althoff; Frederick L Altice
Journal:  Clin Infect Dis       Date:  2013-06-23       Impact factor: 9.079

3.  Differences in the social networks of African American men who have sex with men only and those who have sex with men and women.

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Journal:  Am J Public Health       Date:  2011-08-18       Impact factor: 9.308

4.  Understanding social and sexual networks of sexual minority men and transgender women in Guatemala city to improve HIV prevention efforts.

Authors:  C Tucker; C Galindo Arandi; J Herbert Bolaños; G Paz-Bailey; C Barrington
Journal:  J Health Care Poor Underserved       Date:  2014-11

5.  Gender differences in heterosexual anal sex practices among women and men in substance abuse treatment.

Authors:  Donald A Calsyn; Mary A Hatch-Maillette; Christina S Meade; Susan Tross; Aimee N C Campbell; Blair Beadnell
Journal:  AIDS Behav       Date:  2013-09

6.  Social network structure and HIV infection among injecting drug users in Lithuania: gatekeepers as bridges of infection.

Authors:  V Anna Gyarmathy; Irma Caplinskiene; Saulius Caplinskas; Carl A Latkin
Journal:  AIDS Behav       Date:  2014-03

Review 7.  Social network approaches to recruitment, HIV prevention, medical care, and medication adherence.

Authors:  Carl A Latkin; Melissa A Davey-Rothwell; Amy R Knowlton; Kamila A Alexander; Chyvette T Williams; Basmattee Boodram
Journal:  J Acquir Immune Defic Syndr       Date:  2013-06-01       Impact factor: 3.731

Review 8.  Social Network Strategies to Address HIV Prevention and Treatment Continuum of Care Among At-risk and HIV-infected Substance Users: A Systematic Scoping Review.

Authors:  Debarchana Ghosh; Archana Krishnan; Britton Gibson; Shan-Estelle Brown; Carl A Latkin; Frederick L Altice
Journal:  AIDS Behav       Date:  2017-04

9.  Social and individual risk determinants of HIV testing practices among noninjection drug users at high risk for HIV/AIDS.

Authors:  Kellee White; Abby E Rudolph; Kandice C Jones; Carl Latkin; Ebele O Benjamin; Natalie D Crawford; Crystal M Fuller
Journal:  AIDS Care       Date:  2012-07-27

10.  Bridging sexual boundaries: men who have sex with men and women in a street-based sample in Los Angeles.

Authors:  Pamina M Gorbach; Ryan Murphy; Robert E Weiss; Christopher Hucks-Ortiz; Steven Shoptaw
Journal:  J Urban Health       Date:  2009-06-19       Impact factor: 3.671

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