Skip to main content

Advertisement

Log in

Place-Based Predictors of HIV Viral Suppression and Durable Suppression Among Men Who Have Sex With Men in New York City

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

Abstract

We explore relationships between place characteristics and HIV viral suppression among HIV-positive men who have sex with men (MSM) in New York City (NYC). We conducted multilevel analyses to examine associations of United Hospital Fund (UHF)-level characteristics to individual-level suppression and durable suppression among MSM. Individual-level independent and dependent variables came from MSM in NYC’s HIV surveillance registry who had been diagnosed in 2009–2013 (N = 7159). UHF-level covariates captured demographic composition, economic disadvantage, healthcare access, social disorder, and police stop and frisk rates. 56.89% of MSM achieved suppression; 35.49% achieved durable suppression. MSM in UHFs where 5–29% of residents were Black had a greater likelihood of suppression (reference: ≥30% Black; adjusted relative risk (ARR) = 1.07, p = 0.04). MSM in UHFs with <30 MSM-headed households/10,000 households had a lower likelihood of achieving durable suppression (reference: ≥60 MSM-headed households/10,000; ARR = 0.82; p = 0.05). Place characteristics may influence viral suppression. Longitudinal research should confirm these associations.

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.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. The Office of National AIDS Policy. NATIONAL HIV/AIDS STRATEGY for the UNITED STATES: UPDATED TO 2020. Washington, D.C. 2015.

  2. Doshi RK, Matthews T, Isenberg D, Matosky M, Milberg J, Malitz F, et al., editors. Continuum of HIV care among Ryan White HIV/AIDS Program clients, United States, 2010. Conference on Retroviruses and Opportunistic Infections; 2013.

  3. Cohen SM, Hu X, Sweeney P, Johnson AS, Hall HI. HIV viral suppression among persons with varying levels of engagement in HIV medical care, 19 US jurisdictions. J Acquir Immun Defic Syndr. 2014;67(5):519–27.

    Article  Google Scholar 

  4. Centers for Disease Control and Prevention. HIV Surveillance Report, 2014. November 2015.

  5. Centers for Disease Control and Prevention. Diagnosed HIV infection among adults and adolescents in metropolitan statistical areas—United States and Puerto Rico, 2013. HIV Surveillance Supplemental Report 2015. September 2015. Contract No.: 4.

  6. Singh S, Bradley H, Hu X, Skarbinski J, Hall HI, Lansky A. Men living with diagnosed HIV who have sex with men: progress along the continuum of HIV care–United States, 2010. Morb Mortal Wkly Rep. 2014;63(38):829–33.

    Google Scholar 

  7. 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(15):2083–91.

    Article  PubMed  Google Scholar 

  8. Hess KHX, Lansky A, Mermin J, Hall HI. Estimating the lifetime risk of a diagnosis of HIV infection in the United States. 2016. Conference on Retroviruses and Opportunistic Infections (CROI), Boston. Accessed 22–25 Feb 2016.

  9. Gross R, Yip B, Lo Re V, Wood E, Alexander CS, Harrigan PR, et al. A simple, dynamic measure of antiretroviral therapy adherence predicts failure to maintain HIV-1 suppression. J Infect Dis. 2006;194(8):1108–14.

    Article  PubMed  Google Scholar 

  10. Arnsten JH, Demas PA, Grant RW, Gourevitch MN, Farzodegan H, Howard AA, et al. Impact of active drug use on antiretroviral therapy adherence and viral suppression in HIV-infected drug users. J Gen Intern Med. 2002;17(5):377–81.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Yehia BR, Rebeiro P, Althoff KN, Agwu AL, Horberg MA, Samji H, et al. Impact of age on retention in care and viral suppression. J Acquir Immune Defic Syndr. 2015;68(4):413–9.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Eberhart MG, Voytek C, Hillier A, Metzger D, Blank M, Brady K. Travel distance to HIV medical care: a geographic analysis of Weighted survey data from the medical monitoring project in Philadelphia, PA. AIDS Behav. 2014;18(4):776–82.

    Article  CAS  PubMed  Google Scholar 

  13. Shacham E, Lian M, Onen NF, Donovan M, Overton ET. Are neighborhood conditions associated with HIV management? HIV Med. 2013;14(10):624–32.

    Article  CAS  PubMed  Google Scholar 

  14. Wiewel EW, editor Association of neighborhood-level socioeconomic status (SES) with time from HIV diagnosis to viral suppression among newly diagnosed New Yorkers, 2006–2010. 142nd APHA Annual Meeting and Exposition (ember , 2014), APHA. 2014. Accessed 15–19 Nov 2014.

  15. Beattie C, editor Structural barriers to HIV viral load suppression at an urban HIV/AIDS care center. 143rd APHA Annual Meeting and Exposition, APHA. 2015. Accessed 31 Oct–4 Nov 2015.

  16. Bronfenbrenner U. Toward an experimental ecology of human development. Am Psychol. 1977;32(7):513.

    Article  Google Scholar 

  17. Berkman LF, Kawachi I. A historical framework for social epidemiology: social determinants of population health. In: Berkman LF, Kawachi I, Glymour MM, editors. Social epidemiology. New York: Oxford University Press; 2014. p. 1–16.

    Google Scholar 

  18. Katz MH, Hsu L, Lingo M, Woelffer G, Schwarcz SK. Impact of socioeconomic status on survival with AIDS. Am J Epidemiol. 1998;148(3):282–91.

    Article  CAS  PubMed  Google Scholar 

  19. Arnold M, Hsu L, Pipkin S, McFarland W, Rutherford GW. Race, place and AIDS: the role of socioeconomic context on racial disparities in treatment and survival in San Francisco. Soc Sci Med. 2009;69(1):121–8.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Marconi VC, Grandits GA, Weintrob AC, Chun H, Landrum ML, Ganesan A, et al. Research Outcomes of highly active antiretroviral therapy in the context of universal access to healthcare: the US Military HIV Natural History Study. AIDS Res Ther. 2010;7(1):14.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Wallace R. Urban desertification, public health and public order: ‘planned shrinkage’, violent death, substance abuse and AIDS in the Bronx. Soc Sci Med. 1990;31(7):801–13.

    Article  CAS  PubMed  Google Scholar 

  22. Mugavero MJ, Amico KR, Horn T, Thompson MA. The state of engagement in HIV care in the United States: from cascade to continuum to control. Clin Infect Dis. 2013;57(8):1164–71.

    Article  PubMed  Google Scholar 

  23. Chida Y, Vedhara K. Adverse psychosocial factors predict poorer prognosis in HIV disease: a meta-analytic review of prospective investigations. Brain Behav Immun. 2009;23(4):434–45.

    Article  PubMed  Google Scholar 

  24. Canan CE, Lau B, McCaul ME, Keruly J, Moore RD, Chander G. Effect of alcohol consumption on all-cause and liver-related mortality among HIV-infected individuals. HIV Med. 2016;18:332–41.

    Article  PubMed  Google Scholar 

  25. Terry v. Ohio: Supreme Court; 1968. p. 1.

  26. Liebschutz J, Schwartz S, Hoyte J, Conoscenti L, Christian AB Sr, Muhammad L, et al. A chasm between injury and care: experiences of Black male victims of violence. J Trauma-Injury Infec Crit Care. 2010;69(6):1372–8.

    Article  Google Scholar 

  27. Woods SJ, Wineman NM, Page GG, Hall RJ, Alexander TS, Campbell JC. Predicting immune status in women from PTSD and childhood and adult violence. Adv Nurs Sci. 2005;28(4):306–19.

    Article  Google Scholar 

  28. Cooper HL, Arriola KJ, Haardörfer R, McBride CM. Population-attributable risk percentages for racialized risk environments. Am J Public Health. 2016;106(10):1789–92.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Ford CL, Airhihenbuwa CO. Critical race theory, race equity, and public health: toward antiracism praxis. Am J Public Health. 2010;100(S1):S30–5.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Sewell AA, Massey DS, Denton NA. A different menu: racial residential segregation and the persistence of racial inequality race and ethnic relations in the 21st century: history, theory, institutions, and policy. Cognella: San Diego; 2010. p. 287–96.

    Google Scholar 

  31. Goranson CKS, Jasek J, Olson C, Kerker B. The New York City Community Health Survey Atlas, 2007. The New York City: Department of Health and Mental Hygiene; 2009.

    Google Scholar 

  32. United States Census Bureau. 2010 Census. 2010 Census. Washington, DC 2010.

  33. Centers for Disease Control and Prevention. Selected National HIV Prevention and Care Outcomes in the United States. Atlanta 2016.

  34. U.S. Census Bureau’s American Community Survey Office. 2007–2011 American Community Survey. American Community Survey 2011.

  35. New York City Department of Health and Mental Hygiene. Community Health Survey 2009–2010. Community Health Survey 2009–2010.

  36. United States Census Bureau. 2009 U.S Census Bureau’s Zip Code Business Patterns. Zip Code Business Patterns 2009.

  37. New York City Department of Health and Mental Hygiene. Epiquery: NYC Interactive Health Data System—Vital Statistics 2009. Vital Statistics 2009.

  38. United States Postal Service/Department of Housing and Urban Development. HUD Aggregated USPS Administrative Data On Address Vacancies. 2009 USPS Delivery Stats Product 2009.

  39. New York Police Department. Stop Question and Frisk Data. Stop Question and Frisk Data 2009.

  40. SAS Institute. The SAS system for Windows, 9.3. Cary, NC 2011.

  41. Friedman SR, Cooper HL, Tempalski B, Keem M, Friedman R, Flom PL, et al. Relationships of deterrence and law enforcement to drug-related harms among drug injectors in US metropolitan areas. Aids. 2006;20(1):93–9.

    Article  PubMed  Google Scholar 

  42. Friedman SR, West BS, Tempalski B, Morton CM, Cleland CM, Des Jarlais DC, et al. Do metropolitan HIV epidemic histories and programs for people who inject drugs and men who have sex with men predict AIDS incidence and mortality among heterosexuals? Ann Epidemiol. 2014;24(4):304–11.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Friedman SR, West BS, Pouget ER, Hall HI, Cantrell J, Tempalski B, et al. Metropolitan social environments and pre-HAART/HAART era changes in mortality rates (per 10,000 adult residents) among injection drug users living with AIDS. PLoS ONE. 2013;8(2):e57201.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Zhang J, Kai FY. What’s the relative risk?: a method of correcting the odds ratio in cohort studies of common outcomes. JAMA. 1998;280(19):1690–1.

    Article  CAS  PubMed  Google Scholar 

  45. Davies HTO, Crombie IK, Tavakoli M. When can odds ratios mislead? BMJ. 1998;316(7136):989–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Frye V, Koblin B, Chin J, Beard J, Blaney S, Halkitis P, et al. Neighborhood-level correlates of consistent condom use among men who have sex with men: a multi-level analysis. AIDS Behav. 2010;14(4):974–85.

    Article  PubMed  Google Scholar 

  47. Mills CW, Sabharwal CJ, Udeagu C-C, Bocour A, Bodach S, Shepard C, et al. Barriers to HIV testing among HIV/AIDS concurrently diagnosed persons in New York City. Sex Transm Dis. 2011;38(8):715–21.

    PubMed  Google Scholar 

  48. Druyts EF, Rachlis BS, Lima VD, Harvard SS, Zhang W, Brandson EK, et al. Mortality is influenced by locality in a major HIV/AIDS epidemic. HIV Med. 2009;10(5):274–81.

    Article  CAS  PubMed  Google Scholar 

  49. Chambré SM. Fighting for our lives: New York’s AIDS community and the politics of disease. New Jersey: Rutgers University Press; 2006.

    Google Scholar 

  50. Arnold EA, Bailey MM. Constructing home and family: how the ballroom community supports African American GLBTQ youth in the face of HIV/AIDS. J Gay Lesbian Soc Serv. 2009;21(2–3):171–88.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Painter TM, Ngalame PM, Lucas B, Lauby JL, Herbst JH. Strategies used by community-based organizations to evaluate their locally developed HIV prevention interventions: lessons learned from the CDC’s innovative interventions project. AIDS Educ Prev. 2010;22(5):387.

    Article  PubMed  Google Scholar 

  52. Massey DS, Denton NA. American apartheid: Segregation and the making of the underclass. Massachusetts: Harvard University Press; 1993.

    Google Scholar 

  53. Collins PH. Hegemonic masculinity and black gender ideology. In: O’Hara RGaJF, editor. Composing gender. Boston: Bedford/St. Martin’s; 2014.

    Google Scholar 

  54. Keen L 2nd, Dyer TP, Whitehead NE, Latimer W. Binge drinking, stimulant use and HIV risk in a sample of illicit drug using heterosexual Black men. Addict Behav. 2014;39(9):1342–5.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Gelman A, Fagan J, Kiss A. An analysis of the New York City police department’s “stop-and-frisk” policy in the context of claims of racial bias. J Am Stat Assoc. 2012;102:813–23.

    Article  Google Scholar 

  56. Holmes MD, Smith BW. Intergroup dynamics of extra-legal police aggression: an integrated theory of race and place. Aggress Violent Beh. 2012;17(4):344–53.

    Article  Google Scholar 

  57. Lim S, Nash D, Hollod L, Harris TG, Lennon MC, Thorpe LE. Influence of jail incarceration and homelessness patterns on engagement in HIV care and HIV viral suppression among New York City adults living with HIV/AIDS. PloS one. 2015;10(11):e0141912.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Loh J, Kennedy MC, Wood E, Kerr T, Marshall B, Parashar S, et al. Longer duration of homelessness is associated with a lower likelihood of non-detectable plasma HIV-1 RNA viral load among people who use illicit drugs in a Canadian setting. Aids Care-Psychol Socio-Medic Aspec Aids/Hiv. 2016;28(11):1448–54.

    Article  Google Scholar 

  59. Marshall BDL, Elston B, Dobrer S, Parashar S, Hogg RS, Montaner JSG, et al. The population impact of eliminating homelessness on HIV viral suppression among people who use drugs. Aids. 2016;30(6):933–41.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Thakarar K, Morgan JR, Gaeta JM, Hohl C, Drainoni ML. Homelessness, HIV, and incomplete viral suppression. J Health Care Poor Underserved. 2016;27(1):145–56.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Koblin BA, Egan JE, Rundle A, Quinn J, Tieu H-V, Cerdá M, et al. Methods to measure the impact of home, social, and sexual neighborhoods of urban gay, bisexual, and other men who have sex with men. PLoS ONE. 2013;8(10):e75878.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This work was supported by R01 DA035707 (Campbell, Des Jarlais) and by the Emory Center for AIDS Research (P30 AI050409; Curran).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kevin A. Jefferson.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. For this type of study formal consent in not required. This article does not contain any studies with animals performed by any of the authors. The study was approved by the Mount Sinai St. Luke’s IRB and the New York City Department of Health IRB.

Appendix

Appendix

See Table 4.

Table 4 Components generated by principal components analysis of economic disadvantage and healthcare access variables

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jefferson, K.A., Kersanske, L.S., Wolfe, M.E. et al. Place-Based Predictors of HIV Viral Suppression and Durable Suppression Among Men Who Have Sex With Men in New York City. AIDS Behav 21, 2987–2999 (2017). https://doi.org/10.1007/s10461-017-1810-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10461-017-1810-x

Keywords

Navigation