AIDS and Behavior

, Volume 13, Issue 4, pp 630–637 | Cite as

Racial Mixing and HIV Risk Among Men Who Have Sex with Men

Original Paper

Abstract

We conducted a cross-sectional survey of MSM using a time-location-sampling design in San Francisco during 2007–2008. The investigation focused on the selection of sexual partners, partner preferences, perceptions of HIV risk, and social mixing with respect to race/ethnicity. The sample of 1,142 MSM was 56% White, 22% Latino, 14% Asian, and 9% Black and reported on 3,532 sexual partnerships. Black MSM had a significant, three-fold higher level of same race sexual partnering than would be expected by chance alone (i.e., in the absence of selective forces with respect to race among partners). Black MSM were reported as the least preferred as sexual partners, believed at higher risk for HIV, counted less often among friends, were considered hardest to meet, and perceived as less welcome at the common venues that cater to gay men in San Francisco by other MSM. Our findings support the hypothesis that the sexual networks of Black MSM, constrained by the preferences and attitudes of non-Blacks and the social environment, are pushed to be more highly interconnected than other groups with the potential consequence of more rapid spread of HIV and a higher sustained prevalence of infection. The racial disparity in HIV observed for more than a decade will not disappear until the challenges posed by a legacy of racism towards Blacks in the US are addressed.

Keywords

Race/ethnicity HIV MSM Disparities Sexual mixing Sexual networks Social networks Social epidemiology 

Notes

Acknowledgments

We wish to thank John Newsome for his thoughtful feedback to earlier versions of this manuscript.

References

  1. Aral, S. O. (2000). Patterns of sexual mixing: Mechanisms for or limits to the spread of STIs? Sexually Transmitted Infections, 76, 415–416. doi:10.1136/sti.76.6.415.PubMedCrossRefGoogle Scholar
  2. Bandura, A. (2004). Health promotion by social cognitive means. Health Education & Behavior, 31(2), 143–164. doi:10.1177/1090198104263660.CrossRefGoogle Scholar
  3. Berry, M., Raymond, H. F., & McFarland, W. (2007). Same race and older partner selection may explain higher HIV prevalence among black men who have sex with men. AIDS (London, England), 21, 2349–2350. doi:10.1097/QAD.0b013e3282f12f41.Google Scholar
  4. Bingham, T. A., Harawa, N. T., Johnson, D. F., Secura, G. M., MacKellar, D., & Valleroy, L. A. (2003). The effect of partner characteristics on HIV infection among African American men who have sex with men in the Young Men’s Survey, Los Angeles, 1999–2000. AIDS Education and Prevention, 15(Suppl. A), 39–52. doi:10.1521/aeap.15.1.5.39.23613.PubMedCrossRefGoogle Scholar
  5. Bourdieu, P. (1986). The forms of capital. In J. Richardson (Ed.), Handbook of theory and research for the sociology of education. New York: Macmillan.Google Scholar
  6. Cary, D. (2007). Interracial marriages surge across U.S. http://www.usatoday.com/news/health/2007-04-12-interracial-marriage_n.html. Accessed 2 Jan 2009.
  7. CDC (2006). HIV/AIDS Surveillance Report. 13(1). http://www.cdc.gov/hiv/topics/surveillance/resources/reports/2008supp_vol13no1/default.htm. Accessed 6 Jan 2009.
  8. CDC. (2004). HIV transmission among black college student and non-student men who have sex with men—North Carolina, 2003. Morbidity Mortality Weekly Report, 53(32), 731–734.Google Scholar
  9. CDC. (2005). HIV prevalence, unrecognized infection and HIV testing among men who have sex with men—five U.S. cities. June 2004–April 2005. Morbidity Mortality Weekly Report, 54(24), 597–601.Google Scholar
  10. Harawa, N. T., Greenland, S., Bingham, T. A., Johnson, D. F., Cochran, S. D., Cunningham, W. E., et al. (2004). Associations of race/ethnicity with HIV prevalence and HIV-related behaviors among young men who have sex with men in 7 urban centers in the United States. Journal of Acquired Immune Deficiency Syndromes, 35(5), 526–536.PubMedCrossRefGoogle Scholar
  11. MacKellar, D. A., Valleroy, L., Karon, J., Lemp, G., & Janssen, R. (1996). The Young Men’s Survey: Methods for estimating HIV seroprevalence and risk factors among young men who have sex with men. Public Health Reports, 111, 138–144.PubMedGoogle Scholar
  12. MacKellar, D., Gallagher, K. M., Finlayson, T., Sanchez, T., Lansky, A., & Sullivan, P. S. (2007). Surveillance of HIV risk and prevention behaviors of men who have sex with men—a national application of venue based, time-space sampling. Public Health Reports, 122(Suppl. 1), 39–47.PubMedGoogle Scholar
  13. Magnani, R., Sabin, K., Saidel, T., & Heckathorn, D. (2005). Review of sampling hard-to-reach and hidden populations for HIV surveillance. AIDS, 19, S67–S72.PubMedCrossRefGoogle Scholar
  14. Meyers, H. F., Javanbakht, M., Martinez, M., & Obedia, S. (2003). Psychosocial predictors of risky sexual behaviors in African American men: Implications for prevention. AIDS Education and Prevention, 15(Suppl. A), 66–79.CrossRefGoogle Scholar
  15. Millett, G. A., Peterson, J. L., Wolitski, R. J., & Stall, R. (2006). Greater risk for HIV infection of black men who have sex with men: A critical literature review. American Journal of Public Health, 96(6), 1007–1019.PubMedCrossRefGoogle Scholar
  16. Millett, G. A., Flores, S. A., Peterson, J. L., & Bakeman, R. (2007). Explaining disparities in HIV infection among black and white men who have sex with men: A meta-analysis of HIV risk behaviors. AIDS, 21, 2083–2091.PubMedCrossRefGoogle Scholar
  17. San Francisco Department of Public Health (2004). San Francisco HIV prevention plan. http://www.sfhiv.org/files/plan_2004/2004_plan_ch_2.pdf. Accessed 6 Jan 2009.
  18. US Census Bureau (1998). Race of wife by race of husband: 1960, 1970, 1980, 1991, and 1992. http://www.2010census.biz/population/socdemo/race/interractab1.txt. Accessed 2 Jan 2009.
  19. Valleroy, L. A., MacKellar, D. A., Karon, J. M., Rosen, D. H., McFarland, W., Shehan, D. A., et al. (2000). HIV prevalence and associated risks in young men who have sex with men. JAMA, 284(2), 198–204.PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.San Francisco Department of Public HealthSan FranciscoUSA

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