Skip to main content

Advertisement

Log in

Patterns of Exposure to Socio-structural Stressors and HIV Care Engagement Among Transgender Women of Color

  • Original Paper
  • Published:
AIDS and Behavior Aims and scope Submit manuscript

Abstract

Transgender women are disproportionately affected by HIV and experiences of social adversity that may interfere with engagement in care and viral suppression. We used latent class analysis to examine patterns of social adversity and their impact on HIV care continuum outcomes in an urban sample of transgender women of color. Participants (n = 224) were median age 29 and 86% non-Hispanic Black. Lack of resources, unemployment, and housing instability were reported by over 50%, and 41% reported history of incarceration. Latent class analysis identified 2 distinct classes representing higher and lower levels of social adversity. In latent class regression, membership in the higher social adversity class was associated with statistically significantly lower odds of viral suppression and HIV care engagement in univariate analysis; when adjusted for age, race, and recruitment site the association remained statistically significant for viral suppression (aOR 0.38, 95% CI 0.18–0.79; chi-square = 6.681, d.f. = 1, p = 0.010), though not for HIV care engagement. Our findings highlight the impact of socio-structural barriers on engagement in the HIV care continuum among transgender women.

Resumen

Las mujeres transgénero son desproporcionadamente afectadas por el VIH y las experiencias de adversidad social que pueden interferir con la participación en la atención medica y la supresión viral. Utilizamos un análisis de clase latente para examinar los patrones de adversidad social y su impacto en los resultados continuos de la atención medica del VIH en una muestra urbana de mujeres transgénero de color. Los participantes (n = 224) tenían una mediana de edad de 29 años y 86% negros no hispanos. La falta de recursos, el desempleo y la inestabilidad de la vivienda fueron reportados en más del 50%, y el 41% reportó antecedentes de encarcelamiento. El análisis de clase latente identificó 2 clases distintas que representan niveles más altos y más bajos de adversidad social. En la regresión de clase latente, la pertenencia a la clase de mayor adversidad social se asoció con probabilidades estadísticamente significante más bajas de supresión viral y participación en la atención medica del VIH en el análisis univariante; cuando se ajustó por edad, raza y sitio de reclutamiento, la asociación siguió siendo estadísticamente significativa para la supresión viral (aOR 0.38, IC 95% 0.18–0.79; chi-cuadrado = 6.681, df = 1, p = 0.010), aunque no para la participación en la atención medica del VIH. Nuestros hallazgos destacan el impacto de las barreras socioestructurales en la participación en el continuo de atención medica del VIH entre las mujeres transgénero.

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. Baral SD, Poteat T, Stromdahl 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):214–22.

    PubMed  Google Scholar 

  2. Herbst JH, Jacobs ED, Finlayson TJ, McKleroy VS, Neumann MS, Crepaz N, 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.

    PubMed  Google Scholar 

  3. Poteat T, Scheim A, Xavier J, Reisner S, Baral S. Global epidemiology of HIV infection and related syndemics affecting transgender people. J Acquir Immune Defic Syndr. 1999;2016(72 Suppl 3):S210–S219219.

    Google Scholar 

  4. Garofalo R, Deleon J, Osmer E, Doll M, Harper GW. Overlooked, misunderstood and at-risk: exploring the lives and HIV risk of ethnic minority male-to-female transgender youth. J Adolesc Health. 2006;38(3):230–6.

    PubMed  Google Scholar 

  5. Brennan J, Kuhns LM, Johnson AK, Belzer M, Wilson EC, Garofalo R, et al. Syndemic theory and HIV-related risk among young transgender women: the role of multiple, co-occurring health problems and social marginalization. Am J Public Health. 2012;102(9):1751–7.

    PubMed  PubMed Central  Google Scholar 

  6. Reisner SL, Bailey Z, Sevelius J. Racial/ethnic disparities in history of incarceration, experiences of victimization, and associated health indicators among transgender women in the U.S. Women Health. 2014;54(8):750–67.

    PubMed  PubMed Central  Google Scholar 

  7. Poteat T, Reisner SL, Radix A. HIV epidemics among transgender women. Curr Opin HIV AIDS. 2014;9(2):168–73.

    PubMed  PubMed Central  Google Scholar 

  8. Reisner SL, Poteat T, Keatley J, Cabral M, Mothopeng T, Dunham E, et al. Global health burden and needs of transgender populations: a review. Lancet (London, England). 2016;388(10042):412–36.

    Google Scholar 

  9. Glick JL, Lopez A, Pollock M, Theall KP. “Housing insecurity seems to almost go hand in hand with being trans”: housing stress among transgender and gender non-conforming individuals in New Orleans. J Urban Health. 2019;96:751.

    PubMed  Google Scholar 

  10. Centers for Disease Control and Prevention. HIV and transgender communities. CDC Issue Brief [Internet]. 2018. https://www.cdc.gov/hiv/pdf/policies/cdc-hiv-transgender-brief.pdf. Accessed 23 July 2016.

  11. Baral S, Logie CH, Grosso A, Wirtz AL, Beyrer C. Modified social ecological model: a tool to guide the assessment of the risks and risk contexts of HIV epidemics. BMC Public Health. 2013;13:482.

    PubMed  PubMed Central  Google Scholar 

  12. Aidala AA, Wilson MG, Shubert V, Gogolishvili D, Globerman J, Rueda S, et al. Housing status, medical care, and health outcomes among people living with HIV/AIDS: a systematic review. Am J Public Health. 2016;106(1):e1–e23.

    PubMed  PubMed Central  Google Scholar 

  13. Iroh PA, Mayo H, Nijhawan AE. The HIV care cascade before, during, and after incarceration: a systematic review and data synthesis. Am J Public Health. 2015;105(7):e5–e16.

    PubMed  PubMed Central  Google Scholar 

  14. Kahana SY, Jenkins RA, Bruce D, Fernandez MI, Hightow-Weidman LB, Bauermeister JA. Structural determinants of antiretroviral therapy use, HIV care attendance, and viral suppression among adolescents and young adults living with HIV. PLoS ONE. 2016;11(4):e0151106.

    PubMed  PubMed Central  Google Scholar 

  15. Wilson EC, Turner C, Arayasirikul S, Woods T, Nguyen T, Lin R, et al. Housing and income effects on HIV-related health outcomes in the San Francisco Bay area—findings from the SPNS transwomen of color initiative. AIDS Care. 2018;30:1–4.

    Google Scholar 

  16. Fletcher JB, Kisler KA, Reback CJ. Housing status and HIV risk behaviors among transgender women in Los Angeles. Arch Sex Behav. 2014;43(8):1651–61.

    PubMed  PubMed Central  Google Scholar 

  17. Wilson PA, Nanin J, Amesty S, Wallace S, Cherenack EM, Fullilove R. Using syndemic theory to understand vulnerability to HIV infection among Black and Latino men in New York City. J Urban Health Bull N Y Acad Med. 2014;91(5):983–98.

    Google Scholar 

  18. Singer M, Clair S. Syndemics and public health: reconceptualizing disease in bio-social context. Med Anthropol Q. 2003;17(4):423–41.

    PubMed  Google Scholar 

  19. Berlin KS, Williams NA, Parra GR. An introduction to latent variable mixture modeling (part 1): overview and cross-sectional latent class and latent profile analyses. J Pediatr Psychol. 2014;39(2):174–87.

    PubMed  Google Scholar 

  20. Muthen B, Muthen LK. Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes. Alcohol Clin Exp Res. 2000;24(6):882–91.

    CAS  PubMed  Google Scholar 

  21. Chan PA, Rose J, Maher J, Benben S, Pfeiffer K, Almonte A, et al. A latent class analysis of risk factors for acquiring HIV among men who have sex with men: implications for implementing pre-exposure prophylaxis programs. AIDS Patient Care STDs. 2015;29(11):597–605.

    PubMed  PubMed Central  Google Scholar 

  22. Mackesy-Amiti ME, Boodram B, Spiller MW, Paz-Bailey G, Prachand N, Broz D. Injection-related risk behavior and engagement in outreach, intervention and prevention services across 20 US cities. J Acquir Immune Defic Syndr. 1999;2017(75 Suppl 3):S316–S324324.

    Google Scholar 

  23. Okeke NL, Clement ME, McKellar MS, Stout JE. Health care utilization behaviors predict disengagement from HIV care: a latent class analysis. Open Forum Infect Dis. 2018;5(5):088.

    Google Scholar 

  24. German D, Latkin CA. Social stability and HIV risk behavior: evaluating the role of accumulated vulnerability. AIDS Behav. 2012;16(1):168–78.

    PubMed  PubMed Central  Google Scholar 

  25. Brantley ML, Kerrigan D, German D, Lim S, Sherman SG. Identifying patterns of social and economic hardship among structurally vulnerable women: a latent class analysis of HIV/STI risk. AIDS Behav. 2017;21(10):3047–56.

    PubMed  PubMed Central  Google Scholar 

  26. Rebchook G, Keatley J, Contreras R, Perloff J, Molano LF, Reback CJ, et al. The transgender women of color initiative: implementing and evaluating innovative interventions to enhance engagement and retention in HIV care. Am J Public Health. 2017;107(2):224–9.

    PubMed  PubMed Central  Google Scholar 

  27. Muthén LK, Muthén BO. Mplus user's guide. 7th ed. Los Angeles: Muthén & Muthén; 2015.

    Google Scholar 

  28. Lo Y, Mendell NR, Rubin DB. Testing the number of components in a normal mixture. Biometrika. 2001;88(3):767–78.

    Google Scholar 

  29. Nylund KL, Asparouhov T, Muthén BO. Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Struct Equ Model Multidiscip J. 2007;14(4):535–69.

    Google Scholar 

  30. Akaike H. Factor analysis and AIC. Psychometrika. 1987;52(3):317–32.

    Google Scholar 

  31. Sclove SL. Application of model-selection criteria to some problems in multivariate analysis. Psychometrika. 1987;52(3):333–43.

    Google Scholar 

  32. Asparouhov T, Muthén B. Auxiliary variables in mixture modeling: three-step approaches using Mplus. Struct Equ Model Multidiscip J. 2014;21(3):329–41.

    Google Scholar 

  33. Aidala AA, Sumartojo E. Why housing? AIDS Behav. 2007;11(6 Suppl):1–6.

    PubMed  Google Scholar 

  34. Bekele T, Globerman J, Watson J, Hwang SW, Hambly K, Koornstra J, et al. Elevated mortality and associated social determinants of health in a community-based sample of people living with HIV in Ontario, Canada: findings from the positive spaces, healthy places (PSHP) study. AIDS Behav. 2018;22(7):2214–23.

    PubMed  Google Scholar 

  35. Schwarcz SK, Hsu LC, Vittinghoff E, Vu A, Bamberger JD, Katz MH. Impact of housing on the survival of persons with AIDS. BMC Public Health. 2009;9:220.

    PubMed  PubMed Central  Google Scholar 

  36. Aidala AA, Lee G, Abramson DM, Messeri P, Siegler A. Housing need, housing assistance, and connection to HIV medical care. AIDS Behav. 2007;11(6 Suppl):101–15.

    PubMed  Google Scholar 

  37. White Hughto JM, Reisner SL, Pachankis JE. Transgender stigma and health: a critical review of stigma determinants, mechanisms, and interventions. Soc Sci Med. 1982;2015(147):222–31.

    Google Scholar 

  38. Poteat T, Wirtz AL, Radix A, Borquez A, Silva-Santisteban A, Deutsch MB, et al. HIV risk and preventive interventions in transgender women sex workers. Lancet (London, England). 2015;385(9964):274–86.

    Google Scholar 

  39. Stall R, Mills TC, Williamson J, Hart T, Greenwood G, Paul J, et al. Association of co-occurring psychosocial health problems and increased vulnerability to HIV/AIDS among urban men who have sex with men. Am J Public Health. 2003;93(6):939–42.

    PubMed  PubMed Central  Google Scholar 

  40. Parsons JT, Millar BM, Moody RL, Starks TJ, Rendina HJ, Grov C. Syndemic conditions and HIV transmission risk behavior among HIV-negative gay and bisexual men in a U.S. national sample. Health Psychol. 2017;36(7):695–703.

    PubMed  PubMed Central  Google Scholar 

  41. Mustanski B, Garofalo R, Herrick A, Donenberg G. Psychosocial health problems increase risk for HIV among urban young men who have sex with men: preliminary evidence of a syndemic in need of attention. Ann Behav Med. 2007;34(1):37–45.

    PubMed  PubMed Central  Google Scholar 

  42. Operario D, Nemoto T. HIV in transgender communities: syndemic dynamics and a need for multicomponent interventions. J Acquir Immune Defic Syndr. 1999;2010(55 Suppl 2):S91–S9393.

    Google Scholar 

  43. Tsai AC, Venkataramani AS. Syndemics and health disparities: a methodological note. AIDS Behav. 2016;20(2):423–30.

    PubMed  PubMed Central  Google Scholar 

  44. Tsai AC, Burns BF. Syndemics of psychosocial problems and HIV risk: a systematic review of empirical tests of the disease interaction concept. Soc Sci Med. 1982;2015(139):26–35.

    Google Scholar 

Download references

Acknowledgements

We thank members of the staff at Chicago House and Howard Brown Health, including Jahara Carey, Gnathan Carpenter, Aleksander Casas, Savannah J. Frazier-Willis, Adrianna Maldonado, Symone McDaniel, Blue Roth, Sikora Sikorski, Lia Stokes, and others for their contribution to sample accrual and data collection and their dedication to improving the quality of care provided to the transgender women of color involved in the study. Without their efforts and community relationships, this study would not have been possible. This project was supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under Grant Numbers H97HA24965 and H97HA24969 awarded to Chicago House and Social Service Agency and Howard Brown Health in the amount of $300,000 to each site. No percentage of this project was financed with non-governmental sources. This information or content and conclusions are those of the authors and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anna L. Hotton.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hotton, A.L., Perloff, J., Paul, J. et al. Patterns of Exposure to Socio-structural Stressors and HIV Care Engagement Among Transgender Women of Color. AIDS Behav 24, 3155–3163 (2020). https://doi.org/10.1007/s10461-020-02874-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10461-020-02874-6

Keywords

Navigation