Skip to main content
Log in

Social Media Use and HIV-Related Risk Behaviors in Young Black and Latino Gay and Bi Men and Transgender Individuals in New York City: Implications for Online Interventions

  • Published:
Journal of Urban Health Aims and scope Submit manuscript

Abstract

Urban young men who have sex with men (YMSM) and transgender women continue to experience high rates of new HIV infections in the USA, yet most of this population is not reached by current prevention interventions. The rate of Internet and social media use among youth is high. However, continually updated understanding of the associations between social media access and use and HIV risk behaviors is needed to reach and tailor technology-delivered interventions for those most vulnerable to HIV—racially and ethnically diverse urban YMSM and transgender persons. Thus, we conducted an in-person, venue-based cross-sectional survey among young gay, bisexual, and transgender individuals at locations primarily visited by Black and Latino gay and bisexual and transgender individuals in New York City to understand social media use and how it may relate to HIV risk behaviors to inform social media-based interventions. Among 102 primarily Black and Latino gay and bisexual men (75.5 %) and transgender women (19.6 %), over 90 % were under 30 years of age, 18.6 % reported homelessness in the past 6 months, and 10.8 % reported having HIV. All participants used social media, most accessed these platforms most often via a mobile device (67.6 %) and most logged on multiple times per day (87.3 %). Participants used social media to seek sex partners (56.7 %), exchange sex for money or clothes (19.6 %), and exchange sex for drugs (9.8 %). These results confirm prior studies demonstrating the feasibility of using social media platforms to reach at-risk, urban youth. Of particular concern is the association between recent STI and exchanging sex for money/clothes and drugs. Interventions using social media for young, urban minority MSM and transgender populations should incorporate risk reduction modules addressing exchange partners and promote frequent and regular HIV/STI testing.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Purcell DW, Johnson CH, Lansky A, et al. Estimating the population size of men who have sex with men in the United States to obtain HIV and syphilis rates. Open AIDS Journal. 2012; 6(1): 98–107.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Centers for Disease Control and Prevention. HIV surveillance report, 2014. http://www.cdc.gov/hiv/library/reports/surveillance/. Updated 2015. Accessed 12/10, 2015.

  3. Prejean J, Song R, Hernandez A, et al. Estimated HIV incidence in the United States, 2006–2009. PLoS One. 2011; 6(8), e17502.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Johnson AS, Hall HI, Hu X, Lansky A, Holtgrave DR, Mermin J. Trends in diagnoses of HIV infection in the United States, 2002–2011. JAMA. 2014; 312(4): 432–434.

    Article  CAS  PubMed  Google Scholar 

  5. Baral SD, Poteat T, Strömdahl S, Wirtz AL, Guadamuz TE, Beyrer C. Worldwide burden of HIV in transgender women: a systematic review and meta-analysis. Lancet Infect Dis. 2013; 13(3): 214–222.

    Article  PubMed  Google Scholar 

  6. Herbst JH, Jacobs ED, Finlayson TJ, et al. Estimating HIV prevalence and risk behaviors of transgender persons in the United States: a systematic review. AIDS Behav. 2008; 12(1): 1–17.

    Article  PubMed  Google Scholar 

  7. Habarta N, Wang G, Mulatu MS, Larish N. HIV testing by transgender status at Centers for Disease Control and prevention-funded sites in the United States, Puerto Rico, and US virgin islands, 2009–2011. Am J Public Health. 2015; 105(9): 1917–1925.

    Article  PubMed  Google Scholar 

  8. Finlayson TJ, Le B, Smith A, et al. HIV risk, prevention, and testing behaviors among men who have sex with men—National HIV behavioral surveillance system, 21 US cities, United States, 2008. MMWR Surveill Summ. 2011; 60: 1–34.

    PubMed  Google Scholar 

  9. Bull SS, Levine DK, Black SR, Schmiege SJ, Santelli J. Social media-delivered sexual health intervention: a cluster randomized controlled trial. Am J Prev Med. 2012; 43(5): 467–474.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Young SD, Cumberland WG, Lee S, Jaganath D, Szekeres G, Coates T. Social networking technologies as an emerging tool for HIV prevention: a cluster randomized trial. Ann Intern Med. 2013; 159(5): 318–324.

    Article  PubMed  Google Scholar 

  11. Hightow-Weidman LB, Muessig KE, Pike EC, et al. HealthMpowerment.org: building community through a mobile-optimized, online health promotion intervention. Health Educ Behav. 2015; 42(4): 493–499.

    Article  PubMed  Google Scholar 

  12. Muessig KE, Nekkanti M, Bauermeister J, Bull S, Hightow-Weidman LB. A systematic review of recent smartphone, Internet and Web 2.0 interventions to address the HIV continuum of care. Curr HIV/AIDS Rep. 2015; 12(1): 173–190.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Perrin A, Duggan M. Americans’ Internet access: 2000–2015. Pew Research Center. 2015.

  14. Lenhart A, Duggan M, Perrin A, Stepler R, Rainie H, Parker K. Teens, social media & technology overview 2015. Pew Research Center, 2015.

  15. Glick SN, Morris M, Foxman B, et al. A comparison of sexual behavior patterns among men who have sex with men and heterosexual men and women. J Acquir Immune Defic Syndr. 2012; 60(1): 83–90.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Rosenfeld MJ, Thomas RJ. Searching for a mate the rise of the internet as a social intermediary. Am Sociol Rev. 2012; 77(4): 523–547.

    Article  Google Scholar 

  17. Rice E, Winetrobe H, Holloway IW, Montoya J, Plant A, Kordic T. Cell phone internet access, online sexual solicitation, partner seeking, and sexual risk behavior among adolescents. Arch Sex Behav. 2014; 44(3): 755–763.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Sun CJ, Reboussin B, Mann L, Garcia M, Rhodes SD. The HIV risk profiles of Latino sexual minorities and transgender persons who use websites or apps designed for social and sexual networking. Health Educ Behav. 2015.

  19. Broaddus MR, DiFranceisco WJ, Kelly JA, Lawrence JSS, Amirkhanian YA, Dickson-Gomez JD. Social media use and high-risk sexual behavior among black men who have sex with men: a three-city study. AIDS Behav. 2015; 19(Suppl 2): 90–97.

    Article  PubMed  Google Scholar 

  20. Chiu CJ, Young SD. The relationship between online social network use, sexual risk behaviors, and HIV sero-status among a sample of predominately African American and Latino men who have sex with men (MSM) social media users. AIDS Behav. 2015; 19(Suppl 2): 98–105.

    Article  PubMed  Google Scholar 

  21. Hirshfield S, Grov C, Parsons JT, Anderson I, Chiasson MA. Social media use and HIV transmission risk behavior among ethnically diverse HIV-positive gay men: results of an online study in three US states. Arch Sex Behav. 2015; 44(7): 1969–1978.

    Article  PubMed  Google Scholar 

  22. White JM, Mimiaga MJ, Reisner SL, Mayer KH. HIV sexual risk behavior among black men who meet other men on the internet for sex. J Urban Health. 2013; 90(3): 464–481.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Young SD, Szekeres G, Coates T. The relationship between online social networking and sexual risk behaviors among men who have sex with men (MSM). PLoS One. 2013; 8(5), e62271.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Landovitz RJ, Tseng CH, Weissman M, et al. Epidemiology, sexual risk behavior, and HIV prevention practices of men who have sex with men using GRINDR in Los Angeles, California. J Urban Health. 2013; 90(4): 729–739.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Grosskopf NA, LeVasseur MT, Glaser DB. Use of the internet and mobile-based “apps” for sex-seeking among men who have sex with men in new york city. Am J Mens Health. 2014; 8(6): 510–520.

    Article  PubMed  Google Scholar 

  26. Goedel WC, Halkitis PN, Greene RE, Hickson DA, Duncan DT. HIV risk behaviors, perceptions, and testing and pre-exposure prophylaxis (PrEP) awareness/use in grindr-using men who have sex with men in Atlanta, Georgia. J Assoc Nurses AIDS Care. 2015; p 1-10.

  27. Sullivan PS, Khosropour CM, Luisi N, et al. Bias in online recruitment and retention of racial and ethnic minority men who have sex with men. J Med Internet Res. 2011; 13(2), e38.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Habarta N. HIV testing by transgender status at Centers for Disease Control and prevention–funded sites in the United States, Puerto Rico, and US Virgin Islands, 2009–2011. Am J Public Health. 2015; 105(9): 1917–1925.

    Article  PubMed  Google Scholar 

  29. Bockting W, Benner A, Coleman E. Gay and bisexual identity development among female-to-male transsexuals in North America: emergence of a transgender sexuality. Arch Sex Behav. 2009; 38(5): 688–701.

    Article  PubMed  Google Scholar 

  30. Rosario M, Schrimshaw EW, Hunter J. Predicting different patterns of sexual identity development over time among lesbian, gay, and bisexual youths: a cluster analytic approach. Am J Community Psychol. 2008; 42(3–4): 266–282.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Lenhart A, Purcell K, Smith A, Zickuhr K. Social media & mobile internet use among teens and young adults. Washington, DC: Pew Internet & American Life Project; 2010.

    Google Scholar 

  32. Beymer MR, Weiss RE, Bolan RK, et al. Sex on demand: geosocial networking phone apps and risk of sexually transmitted infections among a cross-sectional sample of men who have sex with men in Los Angeles county. Sex Transm Infect. 2014; 90(7): 567–572.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Phillips G II, Magnus M, Kuo I, et al. Use of geosocial networking (GSN) mobile phone applications to find men for sex by men who have sex with men (MSM) in Washington, DC. AIDS Behav. 2014; 18(9): 1630–1637.

    Article  PubMed  Google Scholar 

  34. SL Braunstein. New York City Department of Health. HIV incidence in NYC from 2001–2009 in MSM by age, ethnicity, & borough. 2011.

  35. Balaji AB, Bowles KE, Le BC, Paz-Bailey G, Oster AM. High HIV incidence and prevalence and associated factors among young MSM in 21 USA cities, 2008. AIDS. 2012.

  36. Ackers ML, Greenberg AE, Lin CY, et al. High and persistent HIV seroincidence in men who have sex with men across 47 US cities. PLoS One. 2012; 7(4), e34972.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Sanchez T, Smith A, Denson D, DiNenno E, Lansky A. Internet-based methods may reach higher-risk men who have sex with men not reached through venue-based sampling. Open AIDS Journal. 2012; 6(1): 83–89.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Sullivan PS, Grey JA, Rosser BRS. Emerging technologies for HIV prevention for MSM: what we have learned, and ways forward. J Acquir Immune Defic Syndr. 2013; 63: S102–S107.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Zhang L, Qian H, Blevins ML, Yin L, Ruan Y, Vermund SH. Internet‐based behavioral interventions for preventing HIV infection in men who have sex with men (MSM). The Cochrane Library. 2011.

  40. Ralph LJ, Berglas NF, Schwartz SL, Brindis CD. Finding teens in TheirSpace: using social networking sites to connect youth to sexual health services. Sex Res Soc Policy. 2011; 2011: 1–12.

    Google Scholar 

  41. Jones K, Baldwin KA, Lewis PR. The potential influence of a social media intervention on risky sexual behavior and chlamydia incidence. J Community Health Nurs. 2012; 29(2): 106–120.

    Article  PubMed  Google Scholar 

  42. Lelutiu-Weinberger C, Pachankis JE, Gamarel KE, Surace A, Golub SA, Parsons JT. Feasibility, acceptability, and preliminary efficacy of a live-chat social media intervention to reduce HIV risk among young men who have sex with men. AIDS Behav. 2015; 19(7): 1214–1227.

    Article  PubMed  Google Scholar 

  43. Tso LS, Tang W, Li H, Yan HY, Tucker JD. Social media interventions to prevent HIV: a review of interventions and methodological considerations. Curr Opin Psychiatry. 2016; 9: 6–10.

    Article  Google Scholar 

  44. Korda H, Itani Z. Harnessing social media for health promotion and behavior change. Health Promot Pract. 2011.

  45. Schneider JA, Zhou AN, Laumann EO. A new HIV prevention network approach: sociometric peer change agent selection. Soc Sci Med. 2015; 125: 192–202. Accessed 12/22/2015 1:56:44 AM.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Young SD, Cumberland WG, Nianogo R, Menacho LA, Galea JT, Coates T. The HOPE social media intervention for global HIV prevention in Peru: a cluster randomised controlled trial. The Lancet HIV. 2015; 2(1): e27–e32.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Sun CJ, Stowers J, Miller C, Bachmann LH, Rhodes SD. Acceptability and feasibility of using established geosocial and sexual networking mobile applications to promote HIV and STD testing among men who have sex with men. AIDS Behav. 2015; 19(3): 543–552.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Simoni JM, Kutner BA, Horvath KJ. Opportunities and challenges of digital technology for HIV treatment and prevention. Curr HIV/AIDS Rep. 2015; 12(4): 437–440.

    Article  PubMed  Google Scholar 

  49. Magee JC, Bigelow L, Dehaan S, Mustanski BS. Sexual health information seeking online: a mixed-methods study among lesbian, gay, bisexual, and transgender young people. Health Educ Behav. 2012; 39(3): 276–289.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

We would like to thank the participants who volunteered for this study and the staff of the Bronx Community Pride Center for helping design and make this study possible. We would also like to acknowledge the volunteers who aided in recruitment and data acquisition. This study was supported in part by NIH grants K23MH102118, R25DA023021, K24DA036955, and UL1TR001073 and the Center for AIDS Research at the Albert Einstein College of Medicine and Montefiore Medical Center (NIH AI-51519).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Viraj V. Patel.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Patel, V.V., Masyukova, M., Sutton, D. et al. Social Media Use and HIV-Related Risk Behaviors in Young Black and Latino Gay and Bi Men and Transgender Individuals in New York City: Implications for Online Interventions. J Urban Health 93, 388–399 (2016). https://doi.org/10.1007/s11524-016-0025-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11524-016-0025-1

Keywords

Navigation