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AIDS and Behavior

, Volume 18, Issue 2, pp 335–345 | Cite as

Structural Bridging Network Position is Associated with HIV Status in a Younger Black Men Who Have Sex with Men Epidemic

  • Nirav S. Shah
  • James Iveniuk
  • Stephen Q. Muth
  • Stuart Michaels
  • Jo-Anne Jose
  • Edward O. Laumann
  • John A. SchneiderEmail author
Original Paper

Abstract

Younger Black men who have sex with men (BMSM) ages 16–29 have the highest rates of HIV in the United States. Despite increased attention to social and sexual networks as a framework for biomedical intervention, the role of measured network positions, such as bridging and their relationship to HIV risk has received limited attention. A network sample (N = 620) of BMSM respondents (N = 154) and their MSM and transgendered person network members (N = 466) was generated through respondent driven sampling of BMSM and elicitation of their personal networks. Bridging status of each network member was determined by a constraint measure and was used to assess the relationship between this bridging and unprotected anal intercourse (UAI), sex-drug use (SDU), group sex (GS) and HIV status within the network in South Chicago. Low, moderate and high bridging was observed in 411 (66.8 %), 81 (13.2 %) and 123 (20.0 %) of the network. In addition to age and having sex with men only, moderate and high levels of bridging were associated with HIV status (aOR 3.19; 95 % CI 1.58–6.45 and aOR 3.83; 95 % CI 1.23–11.95, respectively). Risk behaviors observed including UAS, GS, and SDU were not associated with HIV status, however, they clustered together in their associations with one another. Bridging network position but not risk behavior was associated with HIV status in this network sample of younger BMSM. Socio-structural features such as position within the network may be important when implementing effective HIV prevention interventions in younger BMSM populations.

Keywords

Black MSM HIV Network analysis Bridge Risk behavior 

Notes

Acknowledgements

This work was supported by NIH Grants: R01 DA033875, U54 RR023560 and R21MH098768. We would like to thank the study respondents for their time and Don Fette for reading an earlier version of this manuscript.

References

  1. 1.
    Hall HI, An Q, Hutchinson AB, Sansom S. Estimating the lifetime risk of a diagnosis of the HIV infection in 33 states, 2004-2005. J Acquir Immune Defic Syndr. 2008;49(3):294–7.PubMedCrossRefGoogle Scholar
  2. 2.
    CDPH. HIV prevalence and unrecognized infection among men who have sex with men, Chicago. Chicago: Chicago Department of Public Health; 2008.Google Scholar
  3. 3.
    MacKellar DA, Valleroy LA, Secura GM, Behel S, Bingham T, Celentano DD, et al. Unrecognized HIV infection, risk behaviors, and perceptions of risk among young men who have sex with men—opportunities for advancing HIV prevention in the third decade of HIV/AIDS. J Acquir Immune Defic Syndr. 2005;38(5):603–14.PubMedCrossRefGoogle Scholar
  4. 4.
    Oster AM, Wiegand RE, Sionean C, Miles IJ, Thomas PE, Melendez-Morales L, et al. Understanding disparities in HIV infection between black and white MSM in the United States. AIDS. 2011;25(8):1103–12.PubMedCrossRefGoogle Scholar
  5. 5.
    Meyer IH. Minority stress and mental health in gay men. J Health Soc Behav. 1995;36(1):38–56.PubMedCrossRefGoogle Scholar
  6. 6.
    Kelley CF, Rosenberg ES, O’Hara BM, Frew PM, Sanchez T, Peterson JL, et al. Measuring population transmission risk for HIV: an alternative metric of exposure risk in men who have sex with men (MSM) in the US. PLoS One. 2012;7(12):e53284.PubMedCentralPubMedCrossRefGoogle Scholar
  7. 7.
    Millett GA, Peterson JL, Flores SA, Hart TA, Jeffries WLt, Wilson PA, et al. Comparisons of disparities and risks of HIV infection in black and other men who have sex with men in Canada, UK, and USA: a meta-analysis. Lancet. 2012;28(9839):341–8.CrossRefGoogle Scholar
  8. 8.
    Adimora AA, Schoenbach VJ, Doherty IA. HIV and African Americans in the southern United States: sexual networks and social context. Sex Transm Dis. 2006;33(7 Suppl):S39–45.PubMedCrossRefGoogle Scholar
  9. 9.
    Harawa NT, Greenland S, Bingham TA, Johnson DF, Cochran SD, Cunningham WE, et al. 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. J Acquir Immune Defic Syndr. 2004;35(5):526–36.PubMedCrossRefGoogle Scholar
  10. 10.
    Millett GA, Flores SA, Peterson JL, Bakeman R. Explaining disparities in HIV infection among black and white men who have sex with men: a meta-analysis of HIV risk behaviors. AIDS. 2007;21:2083–91.PubMedCrossRefGoogle Scholar
  11. 11.
    Peterson JL, Rothenberg R, Kraft JM, Beeker C, Trotter R. Perceived condom norms and HIV risks among social and sexual networks of young African American men who have sex with men. Health Educ Res. 2009;24(1):119–27.PubMedCrossRefGoogle Scholar
  12. 12.
    Mimiaga MJ, Reisner SL, Cranston K, Isenberg D, Bright D, Daffin G, et al. Sexual mixing patterns and partner characteristics of Black MSM in Massachusetts at increased risk for HIV infection and transmission. J Urban Health. 2009;86(4):602–23.PubMedCrossRefGoogle Scholar
  13. 13.
    Hurt CB, Beagle S, Leone PA, Sugarbaker A, Pike E, Kuruc J, et al. Investigating a sexual network of Black men who have sex with men: implications for transmission and prevention of HIV infection in the United States. J Acquir Immune Defic Syndr. 2012;61(4):515–21.PubMedCentralPubMedCrossRefGoogle Scholar
  14. 14.
    Laumann EO, Ellingson S, Mahay J, Paik A, Youm Y. The sexual organization of the city. Chicago: University of Chicago; 2004.CrossRefGoogle Scholar
  15. 15.
    Schneider JA, Cornwell B, Ostrow D, Michaels S, Schumm P, Laumann EO, et al. 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. Am J Public Health. 2013;103(1):e28–36.PubMedCentralPubMedCrossRefGoogle Scholar
  16. 16.
    Newman MEJ. Mixing patterns in networks. Phys Rev E. 2003;67(2):e026126.CrossRefGoogle Scholar
  17. 17.
    Tobin KE, German D, Spikes P, Patterson J, Latkin C. A comparison of the social and sexual networks of crack-using and non-crack using African American men who have sex with men. J Urban Health. 2011;88(6):1052–62.PubMedCrossRefGoogle Scholar
  18. 18.
    Latkin C, Yang C, Tobin K, Roebuck G, Spikes P, Patterson J. Social network predictors of disclosure of MSM behavior and HIV-positive serostatus among African American MSM in Baltimore, Maryland. AIDS Behav. 2012;16(3):535–42.PubMedCentralPubMedCrossRefGoogle Scholar
  19. 19.
    Schneider JA, Michaels S, Bouris A. Family network proportion and HIV risk among Black men who have sex with men. J Acquir Immune Defici Syndr. 2012;61(5):627–35.CrossRefGoogle Scholar
  20. 20.
    Valente TW. Social networks and health: models, methods and application. Oxford: Oxford University Press; 2010.CrossRefGoogle Scholar
  21. 21.
    Granovetter MS. The strength of weak ties. AJS. 1973;78(6):1360–80.Google Scholar
  22. 22.
    Morris M, Podhisita C, Wawer MJ, Handcock MS. Bridge populations in the spread of HIV/AIDS in Thailand. AIDS. 1996;10(11):1265–71.PubMedCrossRefGoogle Scholar
  23. 23.
    Schneider JA, Laumann EO. Alternative explanations for negative findings in the community popular opinion leader multisite trial and recommendations for improvements of health interventions through social network analysis. J Acquir Immune Defic Syndr. 2011;56(4):e119–20.PubMedCrossRefGoogle Scholar
  24. 24.
    Christakis NA, Fowler JH. Social network sensors for early detection of contagious outbreaks. PLoS One. 2010;5(9):e12948.PubMedCentralPubMedCrossRefGoogle Scholar
  25. 25.
    Burt RS. Neighbor networks. Oxford: Oxford University Press; 2010.Google Scholar
  26. 26.
    Kossinets G, Watts DJ. Empirical analysis of an evolving social network. Science. 2006;311(5757):88–90 PubMed PMID: 16400149. Epub 2006/01/10. (Eng).PubMedCrossRefGoogle Scholar
  27. 27.
    Aral S, Walker D. Identifying influential and susceptible members of social networks. Science. 2012;337(6092):337–41.PubMedCrossRefGoogle Scholar
  28. 28.
    Heckathorn D. Respondent-driven sampling: a new approach to the study of hidden populations. Soc Probl. 1997;44(2):174–99.CrossRefGoogle Scholar
  29. 29.
    U.S. Census Bureau. 2005–2009 American Community Survey 5-Year Estimates. https://www.census.gov/acs/www/data_documentation/2009_release/. Accessed 8 December 2013.
  30. 30.
    Centers for Disease C. 2009 Compendium of evidence-based HIV prevention interventions. 2010. http://www.cdc.gov/hiv/topics/research/prs/evidence-based-interventions.htm. Accessed 8 December 2013.
  31. 31.
    Heckathorn DD, Semaan S, Broadhead RS, Hughes JJ. Extensions of respondent-driven sampling: a new approach to the study of injection drug users aged 18–25. AIDS Behav. 2002;6(1):55–68.CrossRefGoogle Scholar
  32. 32.
    Gilman SE, Cochran SD, Mays VM, Hughes M, Ostrow DG, Kessler RC. Risk of psychiatric disorders among individuals reporting same-sex partners in the National Comorbidity Survey. Am J Public Health. 2001;91(6):933–9.PubMedCrossRefGoogle Scholar
  33. 33.
    Laumann EO, Gagnon JH, Michael RT, Michaels S. The social organization of sexuality: sexual practices in the United States. Chicago: University Of Chicago Press; 1994.Google Scholar
  34. 34.
    Cornwell B, Schumm LP, Laumann EO, Graber J. Social networks in the NSHAP study: rationale, measurement, and preliminary findings. J Gerontol B Psychol Sci Soc Sci. 2009;64:I47–55.PubMedCrossRefGoogle Scholar
  35. 35.
    Marsden PV. Core discussion networks of Americans. Am Sociolog Rev. 1987;52(1):122–31.CrossRefGoogle Scholar
  36. 36.
    Laumann EO, Marsden PV, Prensky D. The boundary specification problem in network analysis. In: Burt RS, Minor MJ, editors. Applied network analysis. New York: Sage; 1983. p. 18–34.Google Scholar
  37. 37.
    McPherson M, Smith-Lovin L, Brashears ME. Social isolation in America: changes in core discussion networks over two decades. Am Sociolog Rev. 2006;71(3):353–75.CrossRefGoogle Scholar
  38. 38.
    Burt RS. Network items and the general social survey. Soc Netw. 1984;6:293–339.CrossRefGoogle Scholar
  39. 39.
    Auerbach DM, Darrow WW, Jaffe HW, Curran JW. Cluster of cases of the acquired immune deficiency syndrome. Patients linked by sexual contact. Am J Med. 1984;76(3):487–92.PubMedCrossRefGoogle Scholar
  40. 40.
    Friedman SR, Neaigus A, Jose B, Curtis R, Goldstein M, Ildefonso G, et al. Sociometric risk networks and risk for HIV infection. Am J Public Health. 1997;87(8):1289–96.PubMedCrossRefGoogle Scholar
  41. 41.
    Potterat J, Woodhouse DE, Muth SQ, Rothenberg R, Darrow WW, Klovdahl AS, et al. Network dynamism: history and lessons of the Colorado Springs study. In: Morris M, editor. Network epidemiolgy: a handbook for network survey design. London: Oxford University Press; 2004.Google Scholar
  42. 42.
    Potterat JJ, Muth SQ, Rothenberg RB, Zimmerman-Rogers H, Green DL, Taylor JE, et al. Sexual network structure as an indicator of epidemic phase. Sex Transm Infect. 2002;78(Suppl 1):i152–8.PubMedCrossRefGoogle Scholar
  43. 43.
    Latkin CA, Knowlton AR, Sherman S. Routes of drug administration, differential affiliation, and lifestyle stability among cocaine and opiate users: Implications to HIV prevention. J Subst Abuse. 2001;13(1–2):89–102.PubMedCrossRefGoogle Scholar
  44. 44.
    Rothenberg R, Hoang TDM, Muth SQ, Crosby R. The Atlanta urban adolescent network study: a network view of STD prevalence. Sex Transm Dis. 2007;34(8):525–31.PubMedGoogle Scholar
  45. 45.
    Sena AC, Muth SQ, Heffelfinger JD, O’Dowd JO, Foust E, Leone P. Factors and the sociosexual network associated with a syphilis outbreak in rural North Carolina. Sex Transm Dis. 2007;34(5):280–7.PubMedGoogle Scholar
  46. 46.
    Helleringer S, Kohler HP, Chimbiri A. Characteristics of external/bridge relationships by partner type and location where sexual relationship took place. AIDS. 2007;21(18):2560–1.PubMedCrossRefGoogle Scholar
  47. 47.
    Doherty IA, Adimora AA, Muth SQ, Serre ML, Leone PA, Miller WC. Comparison of sexual mixing patterns for syphilis in endemic and outbreak settings. Sex Transm Dis. 2011;38(5):378–84.PubMedCrossRefGoogle Scholar
  48. 48.
    Doherty IA, Schoenbach VJ, Adimora AA. Sexual mixing patterns and heterosexual HIV transmission among African Americans in the southeastern United States. J Acquir Immune Defic Syndr. 2009;52(1):114–20.PubMedCentralPubMedCrossRefGoogle Scholar
  49. 49.
    Morrison DM, Casey EA, Beadnell BA, Hoppe MJ, Gillmore MR, Wilsdon A, et al. Effects of friendship closeness in an adolescent group HIV prevention intervention. Prev Sci. 2007;8(4):274–84.PubMedCrossRefGoogle Scholar
  50. 50.
    Garofalo R, Mustanski B, Donenberg G. Parents know and parents matter; is it time to develop family based HIV prevention programs for young men who have sex with men? J Adolesc Health. 2008;43(2):201–4.PubMedCentralPubMedCrossRefGoogle Scholar
  51. 51.
    Schneider J, Michaels S, Bouris A. Family network proportion and HIV risk among Black men who have sex with men. J Acquir Immune Defic Syndr. 2012;61(5):627–35.PubMedCentralPubMedCrossRefGoogle Scholar
  52. 52.
    Lauby JL, Marks G, Bingham T, Liu KL, Liau A, Stueve A, et al. Having supportive social relationships is associated with reduced risk of unrecognized HIV infection among Black and Latino men who have sex with men. AIDS Behav. 2011;16(3):508–15.CrossRefGoogle Scholar
  53. 53.
    Burt RS. Structural holes: the social structure of competition. Cambridge: Harvard University Press; 1992.Google Scholar
  54. 54.
    Burt RS. Brokerage and closure. An introduction to social capital. Oxford: Oxford University Press; 2005.Google Scholar
  55. 55.
    Freeman LC. Centrality in social networks: conceptual clarification. Soc Netw. 1979;1:215–39.CrossRefGoogle Scholar
  56. 56.
    Valente TW, Fujimoto K. Bridging, locating critical connectors in a network. Soc Netw. 2010;32(3):212–20.CrossRefGoogle Scholar
  57. 57.
    Sanchez T, Finlayson T, Drak A, Behel S, Cribbin M, Dinenno E, et al. Human immunodeficiency virus (HIV) risk, prevention, and testing behaviors—United States, National HIV Behavioral Surveillance System: men who have sex with men, November 2003–April 2005. MMWR Surveill Summ. 2006;55(6):1–16.PubMedGoogle Scholar
  58. 58.
    Ostrow DG, Plankey MW, Cox C, Li X, Shoptaw S, Jacobson LP, et al. Specific sex drug combinations contribute to the majority of recent HIV seroconversions among MSM in the MACS. J Acquir Immune Defic Syndr. 2009;51(3):349–55.PubMedCentralPubMedCrossRefGoogle Scholar
  59. 59.
    Ostrow DG, Stall RC. Alcohol, tobacco, and drug use among gay and bisexual men. In: Wolitski RJ, Stall R, Valdiserri RO, editors. Unequal opportunity: health disparities affecting gay and bisexual men in the United States. Oxford: Oxford University Press; 2008. p. 121–58.Google Scholar
  60. 60.
    McCullagh P, Nelder JA. Generalized linear models. Boca Raton: CRC; 1999.Google Scholar
  61. 61.
    Wolitski RJ, Bailey CJ, Leary AO, Gomez CA, Parsons JT. Sums. Self-perceived responsibility of HIV-Seropositive men who have sex with men for preventing HIV transmission. Aids Behav. 2003;7(4):363–72.PubMedCrossRefGoogle Scholar
  62. 62.
    Nimmons D, Folkman S. Other-sensitive motivation for safer sex among gay men: expanding paradigms for HIV prevention. AIDS Behav. 1999;3(4):313–24.CrossRefGoogle Scholar
  63. 63.
    Crepaz N, Marks G, Liau A, Mullins MM, Aupont LW, Marshall KJ, et al. Prevalence of unprotected anal intercourse among HIV-diagnosed MSM in the United States: a meta-analysis. AIDS. 2009;23(13):1617–29.PubMedCrossRefGoogle Scholar
  64. 64.
    Bruce D, Harper GW, Suleta K. HIV AMTN. Sexual risk behavior and risk reduction beliefs among HIV-positive young men who have sex with men. Aids Behav. 2013;17(4):1515–23.PubMedCentralPubMedCrossRefGoogle Scholar
  65. 65.
    Kelly JA. Popular opinion leaders and HIV prevention peer education: resolving discrepant findings, and implications for the development of effective community programmes. AIDS Care. 2004;16(2):139–50.PubMedCrossRefGoogle Scholar
  66. 66.
    Group NCHSPT. Results of the NIMH collaborative HIV/sexually transmitted disease prevention trial of a community popular opinion leader intervention. J Acquir Immune Defic Syndr. 2010;54(2):204–14.Google Scholar
  67. 67.
    Schneider JA, Zhou AN, Gandham SR, Kapur A, Oruganti G, Laumann EO, et al., editors. Selection of candidate peer change agents for HIV prevention based upon their structural position. In: International Network of Social Network Analysis 32nd annual meeting; 2012; Redondo Beach.Google Scholar
  68. 68.
    Laumann EO, Youm Y. Racial/ethnic group differences in the prevalence of sexually transmitted diseases in the United States: a network explanation. Sex Transm Dis. 1999;26(5):250–61.PubMedCrossRefGoogle Scholar
  69. 69.
    Doherty IA, Shiboski S, Ellen JM, Adimora AA, Padian NS. Sexual bridging socially and over time: a simulation model exploring the relative effects of mixing and concurrency on viral sexually transmitted infection transmission. Sex Transm Dis. 2006;33(6):368–73.PubMedCrossRefGoogle Scholar
  70. 70.
    Youm Y. A sociological interpretation of emerging properties in STI transmission dynamics: walk-betweenness of sexual networks. Sex Transm Infect. 2010;86(Suppl 3):iii24–8.PubMedCrossRefGoogle Scholar
  71. 71.
    Kerani RP, Golden MR, Whittington WL, Handsfield HH, Hogben M, Holmes KK. Spatial bridges for the importation of gonorrhea and chlamydial infection. Sex Transm Dis. 2003;30(10):742–9.PubMedCrossRefGoogle Scholar
  72. 72.
    Nordvik MK, Liljeros F, Osterlund A, Herrmann B. Spatial bridges and the spread of Chlamydia: the case of a county in Sweden. Sex Transm Dis. 2007;34(1):47–53.PubMedCrossRefGoogle Scholar
  73. 73.
    Anderson R, May R. Infectious diseases of humans: dynamics and control. New York: Oxford University Press; 1991.Google Scholar
  74. 74.
    Holme P, Ghoshal G. The diplomat’s dilemma: maximal power for minimal effort in social networks. Underst Complex Syst. 2009. doi: 10.1007/978-3-642-01284-6_13.269-88.Google Scholar
  75. 75.
    Cancian F. The innovator’s situation: upper-middle-class conservatism in agricultural communities. Palo Alto: Stanford University Press; 1979.Google Scholar
  76. 76.
    Laumann EO. Bonds of pluralism: the form and substance of urban social networks. New York: Wiley; 1973.Google Scholar
  77. 77.
    Schneider JA, Green K, Nelson C, Westbrook M, Michaels S, Benbow N, et al., editors. Estimating the number of Black men who have sex with men in Chicago: cost implications of continued high HIV incidence. In: National African American MSM Leadership Conference on HIV/AIDS and other Health Disparities, January 19–22; 2012; New Orleans, LA.Google Scholar
  78. 78.
    Laumann EO, Marsden PV, Prensky D. The boundary specification problem in network analysis. In: Freeman LC, White DR, Romney AK, editors. Research methods in social network analysis. Fairfax: George Mason University Press; 1989.Google Scholar
  79. 79.
    Latkin CA, Sherman S, Knowlton A. HIV prevention among drug users: Outcome of a network-oriented peer outreach intervention. Health Psychology. 2003;22(4):332–9.PubMedCrossRefGoogle Scholar
  80. 80.
    Latkin CA, Donnell D, Metzger D, Sherman S, Aramrattna A, Davis-Vogel A, et al. The efficacy of a network intervention to reduce HIV risk behaviors among drug users and risk partners in Chiang Mai, Thailand and Philadelphia, USA. Soc Sci Med. 2008;68(4):740–8.PubMedCentralPubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Nirav S. Shah
    • 1
  • James Iveniuk
    • 2
  • Stephen Q. Muth
    • 3
  • Stuart Michaels
    • 4
  • Jo-Anne Jose
    • 5
  • Edward O. Laumann
    • 2
    • 4
    • 6
  • John A. Schneider
    • 1
    • 6
    • 7
    Email author
  1. 1.Department of MedicineUniversity of ChicagoChicagoUSA
  2. 2.Department of SociologyUniversity of ChicagoChicagoUSA
  3. 3.Quintus-ential SolutionsColorado SpringsChicagoUSA
  4. 4.National Opinion Research CenterChicagoUSA
  5. 5.Chicago Medical SchoolChicagoUSA
  6. 6.Chicago Center for HIV EliminationUniversity of ChicagoChicagoUSA
  7. 7.Department of Health StudiesUniversity of ChicagoChicagoUSA

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