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Sexual Networks and HIV Risk among Black Men Who Have Sex with Men in 6 U.S. Cities.
PLoS One 2015; 10(8):e0134085Plos

Abstract

BACKGROUND

Sexual networks may place U.S. Black men who have sex with men (MSM) at increased HIV risk.

METHODS

Self-reported egocentric sexual network data from the prior six months were collected from 1,349 community-recruited Black MSM in HPTN 061, a multi-component HIV prevention intervention feasibility study. Sexual network composition, size, and density (extent to which members are having sex with one another) were compared by self-reported HIV serostatus and age of the men. GEE models assessed network and other factors associated with having a Black sex partner, having a partner with at least two age category difference (age difference between participant and partner of at least two age group categories), and having serodiscordant/serostatus unknown unprotected anal/vaginal intercourse (SDUI) in the last six months.

RESULTS

Over half had exclusively Black partners in the last six months, 46% had a partner of at least two age category difference, 87% had ≤5 partners. Nearly 90% had sex partners who were also part of their social networks. Among HIV-negative men, not having anonymous/exchange/ trade partners and lower density were associated with having a Black partner; larger sexual network size and having non-primary partners were associated with having a partner with at least two age category difference; and having anonymous/exchange/ trade partners was associated with SDUI. Among HIV-positive men, not having non-primary partners was associated with having a Black partner; no sexual network characteristics were associated with having a partner with at least two age category difference and SDUI.

CONCLUSIONS

Black MSM sexual networks were relatively small and often overlapped with the social networks. Sexual risk was associated with having non-primary partners and larger network size. Network interventions that engage the social networks of Black MSM, such as interventions utilizing peer influence, should be developed to address stable partnerships, number of partners, and serostatus disclosure.

Authors+Show Affiliations

Laboratory of Infectious Disease Prevention, Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY, United States of America; Division of Infectious Diseases, Department of Medicine, Columbia University Medical Center, New York, NY, United States of America.Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.Division of Infectious Diseases, Emory School of Medicine, Atlanta, GA, United States of America.Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.Bridge HIV, San Francisco Department of Public Health, San Francisco, CA, United States of America.Department of Human Development, State University of New York at Binghamton, Binghamton, NY, United States of America; Faculty of Humanities, University of Johannesburg, Johannesburg, South Africa.Department of Epidemiology, School of Public Health, Division of InfectiousDiseases, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States of America.Fenway Community Health Center, Boston, MA, United States of America.FHI 360, Research Triangle Park, NC, United States of America.Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.Division of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States of America.The George Washington University School of Public Health and Health Services, Department of Epidemiology and Biostatistics, Washington, DC, United States of America.Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.Laboratory of Infectious Disease Prevention, Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY, United States of America.Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.No affiliation info available

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural

Language

eng

PubMed ID

26241742

Citation

Tieu, Hong-Van, et al. "Sexual Networks and HIV Risk Among Black Men Who Have Sex With Men in 6 U.S. Cities." PloS One, vol. 10, no. 8, 2015, pp. e0134085.
Tieu HV, Liu TY, Hussen S, et al. Sexual Networks and HIV Risk among Black Men Who Have Sex with Men in 6 U.S. Cities. PLoS ONE. 2015;10(8):e0134085.
Tieu, H. V., Liu, T. Y., Hussen, S., Connor, M., Wang, L., Buchbinder, S., ... Latkin, C. (2015). Sexual Networks and HIV Risk among Black Men Who Have Sex with Men in 6 U.S. Cities. PloS One, 10(8), pp. e0134085. doi:10.1371/journal.pone.0134085.
Tieu HV, et al. Sexual Networks and HIV Risk Among Black Men Who Have Sex With Men in 6 U.S. Cities. PLoS ONE. 2015;10(8):e0134085. PubMed PMID: 26241742.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Sexual Networks and HIV Risk among Black Men Who Have Sex with Men in 6 U.S. Cities. AU - Tieu,Hong-Van, AU - Liu,Ting-Yuan, AU - Hussen,Sophia, AU - Connor,Matthew, AU - Wang,Lei, AU - Buchbinder,Susan, AU - Wilton,Leo, AU - Gorbach,Pamina, AU - Mayer,Kenneth, AU - Griffith,Sam, AU - Kelly,Corey, AU - Elharrar,Vanessa, AU - Phillips,Gregory, AU - Cummings,Vanessa, AU - Koblin,Beryl, AU - Latkin,Carl, AU - ,, Y1 - 2015/08/04/ PY - 2014/06/11/received PY - 2015/07/06/accepted PY - 2015/8/5/entrez PY - 2015/8/5/pubmed PY - 2016/5/18/medline SP - e0134085 EP - e0134085 JF - PloS one JO - PLoS ONE VL - 10 IS - 8 N2 - BACKGROUND: Sexual networks may place U.S. Black men who have sex with men (MSM) at increased HIV risk. METHODS: Self-reported egocentric sexual network data from the prior six months were collected from 1,349 community-recruited Black MSM in HPTN 061, a multi-component HIV prevention intervention feasibility study. Sexual network composition, size, and density (extent to which members are having sex with one another) were compared by self-reported HIV serostatus and age of the men. GEE models assessed network and other factors associated with having a Black sex partner, having a partner with at least two age category difference (age difference between participant and partner of at least two age group categories), and having serodiscordant/serostatus unknown unprotected anal/vaginal intercourse (SDUI) in the last six months. RESULTS: Over half had exclusively Black partners in the last six months, 46% had a partner of at least two age category difference, 87% had ≤5 partners. Nearly 90% had sex partners who were also part of their social networks. Among HIV-negative men, not having anonymous/exchange/ trade partners and lower density were associated with having a Black partner; larger sexual network size and having non-primary partners were associated with having a partner with at least two age category difference; and having anonymous/exchange/ trade partners was associated with SDUI. Among HIV-positive men, not having non-primary partners was associated with having a Black partner; no sexual network characteristics were associated with having a partner with at least two age category difference and SDUI. CONCLUSIONS: Black MSM sexual networks were relatively small and often overlapped with the social networks. Sexual risk was associated with having non-primary partners and larger network size. Network interventions that engage the social networks of Black MSM, such as interventions utilizing peer influence, should be developed to address stable partnerships, number of partners, and serostatus disclosure. SN - 1932-6203 UR - https://www.unboundmedicine.com/medline/citation/26241742/Sexual_Networks_and_HIV_Risk_among_Black_Men_Who_Have_Sex_with_Men_in_6_U_S__Cities_ L2 - http://dx.plos.org/10.1371/journal.pone.0134085 DB - PRIME DP - Unbound Medicine ER -