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Network mixing and network influences most linked to HIV infection and risk behavior in the HIV epidemic among black men who have sex with men

Author

Listed:
  • Schneider, J.A.
  • Cornwell, B.
  • Ostrow, D.
  • Michaels, S.
  • Schumm, P.
  • Laumann, E.O.
  • Friedman, S.

Abstract

Objectives. We evaluated network mixing and influences by network members upon Black men who have sex with men. Methods. We conducted separate social and sexual network mixing analyses to determine the degree of mixing on risk behaviors (e.g., unprotected anal intercourse [UAI]). We used logistic regression to assess the association between a network "enabler" (would not disapprove of the respondent's behavior) and respondent behavior. Results. Across the sample (n = 1187) network mixing on risk behaviors was more assortative (like with like) in the sexual network (rsex, 0.37-0.54) than in the social network (rsocial, 0.21-0.24). Minimal assortativity (heterogeneous mixing) among HIV-infected men on UAI was evident. Black men who have sex with men reporting a social network enabler were more likely to practice UAI (adjusted odds ratio = 4.06; 95% confidence interval = 1.64, 10.05) a finding not observed in the sexual network (adjusted odds ratio = 1.31; 95% confidence interval = 0.44, 3.91). Conclusions. Different mixing on risk behavior was evident with more disassortativity among social than sexual networks. Enabling effects of social network members may affect risky behavior. Attention to of high-risk populations' social networks is needed for effective and sustained HIV prevention. Copyright © 2012 by the American Public Health Association®.

Suggested Citation

  • Schneider, J.A. & Cornwell, B. & Ostrow, D. & Michaels, S. & Schumm, P. & Laumann, E.O. & Friedman, S., 2013. "Network mixing and network influences most linked to HIV infection and risk behavior in the HIV epidemic among black men who have sex with men," American Journal of Public Health, American Public Health Association, vol. 103(1), pages 28-36.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2012.301003_2
    DOI: 10.2105/AJPH.2012.301003
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    Cited by:

    1. Dong, Xianlei & Wang, Jingguo & Hu, Beibei & Liu, Xiyu, 2019. "Female sex workers in HIV/AIDS prevention: A social network analysis perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 570-582.
    2. Young, Lindsay E. & Jonas, Adam B. & Michaels, Stuart & Jackson, Joel D. & Pierce, Mario L. & Schneider, John A., 2017. "Social-structural properties and HIV prevention among young men who have sex with men in the ballroom house and independent gay family communities," Social Science & Medicine, Elsevier, vol. 174(C), pages 26-34.
    3. Cornwell, Benjamin & Yan, Xuewen & Carlin, Rebecca F. & Fu, Linda & Wang, Jichuan & Moon, Rachel Y., 2021. "Social network influences on new mothers’ infant sleep adjustments," Social Science & Medicine, Elsevier, vol. 269(C).
    4. Joy D. Scheidell & Farzana Kapadia & Rodman E. Turpin & Medha Mazumdar & Typhanye V. Dyer & Jonathan Feelemyer & Charles M. Cleland & Russell Brewer & Sharon D. Parker & Natalia M. Irvine & Molly Remc, 2022. "Incarceration, Social Support Networks, and Health among Black Sexual Minority Men and Transgender Women: Evidence from the HPTN 061 Study," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
    5. Shelton, Rachel C. & Lee, Matthew & Brotzman, Laura E. & Crookes, Danielle M. & Jandorf, Lina & Erwin, Deborah & Gage-Bouchard, Elizabeth A., 2019. "Use of social network analysis in the development, dissemination, implementation, and sustainability of health behavior interventions for adults: A systematic review," Social Science & Medicine, Elsevier, vol. 220(C), pages 81-101.
    6. Dustin T. Duncan & DeMarc A. Hickson & William C. Goedel & Denton Callander & Brandon Brooks & Yen-Tyng Chen & Hillary Hanson & Rebecca Eavou & Aditya S. Khanna & Basile Chaix & Seann D. Regan & Darre, 2019. "The Social Context of HIV Prevention and Care among Black Men Who Have Sex with Men in Three U.S. Cities: The Neighborhoods and Networks (N2) Cohort Study," IJERPH, MDPI, vol. 16(11), pages 1-24, May.
    7. Wim Delva & Stéphane Helleringer, 2016. "Beyond Risk Compensation: Clusters of Antiretroviral Treatment (ART) Users in Sexual Networks Can Modify the Impact of ART on HIV Incidence," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-16, September.
    8. Xianlei Dong & Mengge Sun & Jingguo Wang & Zhihan Yang & Beibei Hu, 2019. "Understanding the Hierarchical Relationships in Female Sex Workers’ Social Networks Based on Knowledge, Attitude, and Practice," IJERPH, MDPI, vol. 16(20), pages 1-22, October.

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