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Perceived HIV Treatment Norms Modify the Association Between HIV-Related Stigma and Adherence to Antiretroviral Therapy Among Persons Living with HIV in Baltimore, Maryland

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Abstract

Adherence to antiretroviral therapy (ART) is associated with reduced HIV-related morbidity/mortality and ongoing transmission; however, the extent to which this association is modified by perceived HIV treatment norms is unknown. 270 PLWH completed a survey to assess demographics, risk behaviors, stigma, ART adherence, and perceived HIV treatment norms (Baltimore, 2014–2017). We used modified Poisson regression to examine effect modification by perceived HIV treatment norms. The association between HIV-related stigma and ART adherence was modified by perceived HIV treatment norms. Among individuals who perceived that friends/family were sub-optimally adherent, HIV-related stigma was negatively associated with ART adherence (Adjusted Risk Ratio [ARR] = 0.36; 95%CI 0.15–0.87). Among those who perceived optimal adherence among friends/family, the relationship between HIV-related stigma and ART adherence was not statistically significant (ARR = 1.07; 95%CI 0.65–1.76). Interventions to improve ART adherence among those who are sub-optimally adherent could focus on increasing perceptions of ART adherence among their friends/family.

Resumen

La adherencia al tratamiento antirretroviral está asociada con la reducción de la morbilidad y mortalidad relacionada con el VIH y su transmisión; sin embargo, no se sabe hasta qué punto esta asociación se modificada por las normas percibidas sobre el tratamiento del VIH. 270 personas que viven con el VIH completaron una encuesta para evaluar las características demográficas, los comportamientos de riesgo, el estigma, la adherencia a los tratamientos antiretrovirales y las normas percibidas sobre el tratamiento del VIH (Baltimore, 2014–2017). Se utilizó una regresión de Poisson modificada para examinar la modificación del efecto por las normas percibidas sobre el tratamiento del VIH. La asociación entre el estigma relacionada con el VIH y la adherencia al tratamiento antirretroviral fue modificada por las normas percibidas de tratamiento del VIH. Entre los individuos que percibían que sus amigos/familiares no se adhirieron al tratamiento antirretroviral de manera óptima, el estigma relacionada con el VIH se asoció negativamente con la adherencia al tratamiento antirretroviral (Razón de riesgo ajustada [RRA] = 0.36; IC 95%:0.15–0.87). Entre los que percibían que sus amigos(as)/familiares se adhirieron al tratamiento del VIH de manera óptima, la asociación entre el estigma relacionada con el VIH y la adherencia al tratamiento antirretroviral no fue estadísticamente significativa (RRA = 1.07; IC 95%:0.65–1.76). Las intervenciones para mejorar la adherencia al tratamiento antirretroviral para aquellos que no se adhieren al tratamiento de manera óptima podrían centrarse en mejorar las normas percibidas sobre la adherencia al tratamiento antirretroviral entre sus amigos(as) y familiares.

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Data Availability

Data are available upon request, pending approval of a data use agreement and certification of training in Human Subjects Research.

Code Availability

We provide STATA code in the Supplementary Materials.

References

  1. Cohen MS, Chen YQ, McCauley M, Gamble T, Hosseinipour MC, Kumarasamy N, et al. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med. 2011;365(6):493–505.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Joint United Nations Programme on HIV/AIDS (UNAIDS). 90–90–90 An ambitious treatment target to help end the AIDS epidemic. 2014. Available at: https://www.unaids.org/sites/default/files/media_asset/90-90-90_en.pdf.

  3. Centers for Disease Control and Prevention. National HIV Prevention Progress Report, 2013. U.S. Department of Health and Human Services; Centers for Disease Control and Prevention; 2013. Available at: https://www.cdc.gov/hiv/pdf/policies-nationalprogressreport-optim.pdf.

  4. Gardner EM, McLees MP, Steiner JF, del Rio C, Burman WJ. The spectrum of engagement in HIV care and its relevance to test-and-treat strategies for prevention of HIV infection. Clin Infect Dis. 2011;52(6):793–800.

    Article  PubMed  PubMed Central  Google Scholar 

  5. U.S. Department of Health and Human Services. HIV national strategic plan for the United States: a roadmap to end the epidemic 2021–2025. Washington, DC; 2021.

  6. Khuat TH, Nguyẽ̂n TVA, Ogden J. Understanding HIV and AIDS-related stigma and discrimination in Vietnam. International Center for Research on Women; 2004. Available at: https://www.icrw.org/wp-content/uploads/2016/10/Understanding-HIV-and-AIDS-related-Stigma-and-Discrimination-in-Vietnam.pdf.

  7. Department of Health and Human Services. Reducing Stigma Related to Drug Use in Human Service Settings. 2019. https://grants.nih.gov/grants/guide/rfa-files/RFA-DA-21-002.html.

  8. Malcolm A, Aggleton P, Brofman M, Galvano J, Mane P, Verrall J. HIV-related stigmatization and discrimination: Its forms and contexts. Crit Public Health. 1998;9:347–70.

    Article  Google Scholar 

  9. UNAIDS. 2006 Report on the global AIDS epidemic. Geneva; 2006.

  10. Maher L, Coupland H, Musson R. Scaling up HIV treatment, care and support for injecting drug users in Vietnam. Int J Drug Policy. 2007;18(4):296–305.

    Article  PubMed  Google Scholar 

  11. Kinsler JJ, Wong MD, Sayles JN, Davis C, Cunningham WE. The effect of perceived stigma from a health care provider on access to care among a low-income HIV-positive population. AIDS Patient Care STDS. 2007;21(8):584–92.

    Article  PubMed  Google Scholar 

  12. Sayles JN, Wong MD, Kinsler JJ, Martins D, Cunningham WE. The association of stigma with self-reported access to medical care and antiretroviral therapy adherence in persons living with HIV/AIDS. J Gen Intern Med. 2009;24(10):1101–8.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Conviser R. Catalyzing system changes to make HIV care more accessible. J Health Care Poor Underserved. 2007;18(3):224–43.

    Article  PubMed  Google Scholar 

  14. Chesney MA, Smith AW. Critical delays in HIV testing and care: The potential role of stigma. American Behavioral Scientists. 1999;42:1162–74.

    Article  Google Scholar 

  15. Fortenberry JD, McFarlane M, Bleakley A, Bull S, Fishbein M, Grimley DM, et al. Relationships of stigma and shame to gonorrhea and HIV screening. Am J Public Health. 2002;92(3):378–81.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Clark HJ, Lindner G, Armistead L, Austin BJ. Stigma, disclosure, and psychological functioning among HIV-infected and non-infected African-American women. Women Health. 2003;38(4):57–71.

    Article  PubMed  Google Scholar 

  17. van der Straten A, Vernon KA, Knight KR, Gomez CA, Padian NS. Managing HIV among serodiscordant heterosexual couples: serostatus, stigma and sex. AIDS Care. 1998;10(5):533–48.

    Article  PubMed  Google Scholar 

  18. Khoat DV, Hong LD, An CQ, Ngu D, Reidpath DD. A situational analysis of HIV/AIDS-related discrimination in Hanoi. Vietnam AIDS Care. 2005;17(Suppl 2):S181–93.

    Article  PubMed  Google Scholar 

  19. UNAIDS. HIV and AIDS-related stigmatization, discrimination, and denial: Forms, contexts, and determinants. Geneva; 2000.

  20. Vanable PA, Carey MP, Blair DC, Littlewood RA. Impact of HIV-related stigma on health behaviors and psychological adjustment among HIV-positive men and women. AIDS Behav. 2006;10(5):473–82.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Mahajan AP, Sayles JN, Patel VA, Remien RH, Ortiz D, Szekeres G, et al. Stigma in the HIV/AIDS epidemic: a review of the literature and recommendations for the way forward. AIDS (London, England). 2008;22(Suppl 2):S67.

    Article  Google Scholar 

  22. King MB. Prejudice and AIDS: the views and experiences of people with HIV infection. AIDS Care. 1989;1(2):137–43.

    Article  CAS  PubMed  Google Scholar 

  23. Sowell RL, Lowenstein A, Moneyham L, Demi A, Mizuno Y, Seals BF. Resources, stigma, and patterns of disclosure in rural women with HIV infection. Public Health Nurs. 1997;14(5):302–12.

    Article  CAS  PubMed  Google Scholar 

  24. Earnshaw VA, Bogart LM, Dovidio JF, Williams DR. Stigma and racial/ethnic HIV disparities: Moving toward resilience. Am Psychol. 2013;68(4):225.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Nyblade LC. Measuring HIV stigma: existing knowledge and gaps. Psychol Health Med. 2006;11(3):335–45.

    Article  PubMed  Google Scholar 

  26. Grossman AH. Gay men and HIV/AIDS: understanding the double stigma. J Assoc Nurses in AIDS Care: JANAC. 1991;2(4):28–32.

    CAS  Google Scholar 

  27. Reidpath DD, Chan KY. A method for the quantitative analysis of the layering of HIV-related stigma. AIDS Care. 2005;17(4):425–32.

    Article  CAS  PubMed  Google Scholar 

  28. Rudolph AE, Davis WW, Quan VM, Ha TV, Minh N, Gregowski A, et al. Perceptions of community-and family-level injection drug user (IDU)-and HIV-related stigma, disclosure decisions and experiences with layered stigma among HIV-positive IDUs in Vietnam. AIDS Care. 2012;24(2):239–44.

    Article  CAS  PubMed  Google Scholar 

  29. Parker RG, Aggleton P, Attawell K, Pulerwitz J, Brown L. HIV/AIDS-related stigma and discrimination: A conceptual framework and an agenda for action. Population Council New York; 2002.

  30. Katz IT, Ryu AE, Onuegbu AG, Psaros C, Weiser SD, Bangsberg DR, et al. Impact of HIV-related stigma on treatment adherence: systematic review and meta-synthesis. J Int AIDS Soc. 2013;16:18640.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Sweeney SM, Vanable PA. The association of HIV-related stigma to HIV medication adherence: a systematic review and synthesis of the literature. AIDS Behav. 2016;20(1):29–50.

    Article  PubMed  Google Scholar 

  32. Ortego C, Huedo-Medina TB, Llorca J, Sevilla L, Santos P, Rodríguez E, et al. Adherence to highly active antiretroviral therapy (HAART): a meta-analysis. AIDS Behav. 2011;15(7):1381–96.

    Article  PubMed  Google Scholar 

  33. Bezabhe WM, Chalmers L, Bereznicki LR, Peterson GM. Adherence to antiretroviral therapy and virologic failure: a meta-analysis. Medicine. 2016;95(15):e3361.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Centers for Disease Control and Prevention. Monitoring selected national HIV prevention and care objectives by using HIV surveillance data—United States and 6 dependent areas, 2018. HIV Surveillance Supplemental Report 2020;25(No. 2). http://www.cdc.gov/hiv/library/reports/hiv-surveillance.html. Accessed 28 July 2021.

  35. Baltimore City Annual HIV Epidemiological Profile 2017. Center for HIV Surveillance, Epidemiology and Evaluation, Maryland Department of Health, Baltimore, MD. 2018.

  36. Atkinson J, Nilsson Schönnesson L, Williams M, Timpson S. Associations among correlates of schedule adherence to antiretroviral therapy (ART): A path analysis of a sample of crack cocaine using sexually active African-Americans with HIV infection. AIDS Care. 2008;20(2):253–62.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Catz SL, Kelly JA, Bogart LM, Benotsch EG, McAuliffe TL. Patterns, correlates, and barriers to medication adherence among persons prescribed new treatments for HIV disease. Health Psychol. 2000;19(2):124.

    Article  CAS  PubMed  Google Scholar 

  38. Murphy DA, Marelich W, Hoffman D, Steers W. Predictors of antiretroviral adherence. AIDS Care. 2004;16(4):471–84.

    Article  CAS  PubMed  Google Scholar 

  39. Bodenlos JS, Grothe KB, Whitehead D, Konkle-Parker DJ, Jones GN, Brantley PJ. Attitudes toward health care providers and appointment attendance in HIV/AIDS patients. J Assoc Nurses AIDS Care. 2007;18(3):65–73.

    Article  PubMed  Google Scholar 

  40. Catz SL, McClure J, Jones G, Brantley P. Predictors of outpatient medical appointment attendance among persons with HIV. AIDS Care. 1999;11(3):361–73.

    Article  CAS  PubMed  Google Scholar 

  41. Malcolm S, Ng J, Rosen R, Stone V. An examination of HIV/AIDS patients who have excellent adherence to HAART. AIDS Care. 2003;15(2):251–61.

    Article  CAS  PubMed  Google Scholar 

  42. Waldrop-Valverde D, Guo Y, Ownby RL, Rodriguez A, Jones DL. Risk and protective factors for retention in HIV care. AIDS Behav. 2014;18(8):1483–91.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Gonzalez JS, Penedo FJ, Antoni MH, Durán RE, McPherson-Baker S, Ironson G, et al. Social support, positive states of mind, and HIV treatment adherence in men and women living with HIV/AIDS. Health Psychol. 2004;23(4):413.

    Article  PubMed  Google Scholar 

  44. Ulett KB, Willig JH, Lin H-Y, Routman JS, Abroms S, Allison J, et al. The therapeutic implications of timely linkage and early retention in HIV care. AIDS Patient Care STDS. 2009;23(1):41–9.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Knowlton A, Hua W, Latkin C. Social support networks and medical service use among HIV-positive injection drug users: implications to intervention. AIDS Care. 2005;17(4):479–92.

    Article  CAS  PubMed  Google Scholar 

  46. Turan B, Smith W, Cohen MH, Wilson TE, Adimora AA, Merenstein D, et al. (2016) Mechanisms for the negative effects of internalized HIV-related stigma on antiretroviral therapy adherence in women: the mediating roles of social isolation and depression. J Acquired Immu Deficiency Synd. 1999;72(2):198.

    Article  CAS  Google Scholar 

  47. Turan B, Rice WS, Crockett KB, Johnson M, Neilands TB, Ross SN, et al. Longitudinal association between internalized HIV stigma and antiretroviral therapy adherence for women living with HIV: The mediating role of depression. AIDS (London, England). 2019;33(3):571.

    Article  CAS  Google Scholar 

  48. Rao D, Feldman BJ, Fredericksen RJ, Crane PK, Simoni JM, Kitahata MM, et al. A structural equation model of HIV-related stigma, depressive symptoms, and medication adherence. AIDS Behav. 2012;16(3):711–6.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Kelly JD, Hartman C, Graham J, Kallen MA, Giordano TP. Social support as a predictor of early diagnosis, linkage, retention, and adherence to HIV care: results from the steps study. J Assoc Nurses AIDS Care. 2014;25(5):405–13.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Gwadz MV, Leonard NR, Cleland CM, Riedel M, Banfield A, Mildvan D. The effect of peer-driven intervention on rates of screening for AIDS clinical trials among African Americans and hispanics. Am J Public Health. 2011;101(6):1096–102.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Medley A, Kennedy C, O’Reilly K, Sweat M. Effectiveness of peer education interventions for HIV prevention in developing countries: a systematic review and meta-analysis. AIDS Educ Prev. 2009;21(3):181–206.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Heckathorn D, Broadhead R, Anthony D, Weakliem D. AIDS and social networks: HIV prevention through network mobilization. Sociol Focus. 1999;32(2):159–79.

    Article  Google Scholar 

  53. Schneider JA, Zhou AN, Laumann EO. A new HIV prevention network approach: sociometric peer change agent selection. Soc Sci Med. 2015;125:192–202.

    Article  PubMed  Google Scholar 

  54. Deering KN, Shannon K, Sinclair H, Parsad D, Gilbert E, Tyndall MW. Piloting a peer-driven intervention model to increase access and adherence to antiretroviral therapy and HIV care among street-entrenched HIV-positive women in Vancouver. AIDS Patient Care STDS. 2009;23(8):603–9.

    Article  PubMed  Google Scholar 

  55. Davey-Rothwell MA, Latkin CA. Gender differences in social network influence among injection drug users: Perceived norms and needle sharing. J Urban Health-Bulletin of the New York Academy of Med. 2007;84(5):691–703.

    Google Scholar 

  56. De P, Cox J, Boivin JF, Platt RW, Jolly AM. The importance of social networks in their association to drug equipment sharing among injection drug users: a review. Addiction. 2007;102(11):1730–9.

    Article  PubMed  Google Scholar 

  57. Latkin CA, Davey MA, Hua W. Social context of needle selling in Baltimore. Maryland Subst Use Misuse. 2006;41(6–7):901–13.

    Article  PubMed  Google Scholar 

  58. Shaw SY, Shah L, Jolly AM, Wylie JL. Determinants of injection drug user (IDU) syringe sharing: the relationship between availability of syringes and risk network member characteristics in Winnipeg. Canada Addiction. 2007;102(10):1626–35.

    Article  PubMed  Google Scholar 

  59. Unger JB, Kipke MD, De Rosa CJ, Hyde J, Ritt-Olson A, Montgomery S. Needle-sharing among young IV drug users and their social network members: The influence of the injection partner’s characteristics on HIV risk behavior. Addict Behav. 2006;31(9):1607–18.

    Article  PubMed  Google Scholar 

  60. Tobin KE, Davey-Rothwell M, Latkin CA. Social-level correlates of shooting gallery attendance: a focus on networks and norms. AIDS Behav. 2010;14(5):1142–8.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Davey-Rothwell MA, Latkin CA. An examination of perceived norms and exchanging sex for money or drugs among women injectors in Baltimore, MD, USA. Int J STD AIDS. 2008;19(1):47–50.

    Article  CAS  PubMed  Google Scholar 

  62. Latkin CA, Forman V, Knowlton A, Sherman S. Norms, social networks, and HIV-related risk behaviors among urban disadvantaged drug users. Soc Sci Med. 2003;56(3):465–76.

    Article  PubMed  Google Scholar 

  63. Rudolph AE, Fernau DJ, Tobin KE, Latkin C. Individual and social network correlates of recent treatment for substance use disorders among persons who use drugs in Baltimore, MD (2014–2017). Drug Alcohol Depend. 2020;217:108278.

    Article  PubMed Central  CAS  Google Scholar 

  64. Rudolph AE, Upton E, Young AM, Havens JR. Social network predictors of recent and sustained injection drug use cessation: findings from a longitudinal cohort study. Addiction. 2021;116(4):856–64.

  65. Rudolph AE, Upton E, McDonald MJ, Young AM, Havens JR. Peer influence of injection drug use cessation among dyads in rural eastern Kentucky. Int J Drug Policy. 2020;85:102604.

    Article  PubMed  Google Scholar 

  66. Lucas GM, Cheever LW, Chaisson RE, Moore RD. Detrimental effects of continued illicit drug use on the treatment of HIV-1 infection. JAIDS J Acquired Immune Deficiency Syndromes. 2001;27(3):251–9.

    Article  CAS  Google Scholar 

  67. Lucas GM, Gebo KA, Chaisson RE, Moore RD. Longitudinal assessment of the effects of drug and alcohol abuse on HIV-1 treatment outcomes in an urban clinic. AIDS. 2002;16(5):767–74.

    Article  PubMed  Google Scholar 

  68. Sharpe TT, Lee LM, Nakashima AK, Elam-Evans LD, Fleming PL. Crack cocaine use and adherence to antiretroviral treatment among HIV-infected black women. J Community Health. 2004;29(2):117–27.

    Article  PubMed  Google Scholar 

  69. Langebeek N, Gisolf EH, Reiss P, Vervoort SC, Hafsteinsdóttir TB, Richter C, et al. Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis. BMC Med. 2014;12(1):1–14.

    Article  CAS  Google Scholar 

  70. Wolitski RJ, Pals SL, Kidder DP, Courtenay-Quirk C, Holtgrave DR. The effects of HIV stigma on health, disclosure of HIV status, and risk behavior of homeless and unstably housed persons living with HIV. AIDS Behav. 2009;13(6):1222–32.

    Article  PubMed  Google Scholar 

  71. Levi-Minzi MA, Surratt HL. HIV stigma among substance abusing people living with HIV/AIDS: implications for HIV treatment. AIDS Patient Care STDS. 2014;28(8):442–51.

    Article  PubMed  PubMed Central  Google Scholar 

  72. Gonzalez JS, Batchelder AW, Psaros C. Safren SA (2011) Depression and HIV/AIDS treatment nonadherence: a review and meta-analysis. J Acquired Immune Deficiency Syndromes. 1999;58(2):181–7.

    Article  Google Scholar 

  73. Rao D, Chen W-T, Pearson CR, Simoni JM, Fredriksen-Goldsen K, Nelson K, et al. Social support mediates the relationship between HIV stigma and depression/quality of life among people living with HIV in Beijing, China. Int J STD AIDS. 2012;23(7):481–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Galvan FH, Davis EM, Banks D, Bing EG. HIV stigma and social support among African Americans. AIDS Patient Care STDS. 2008;22(5):423–36.

    Article  PubMed  PubMed Central  Google Scholar 

  75. Vyavaharkar M, Moneyham L, Corwin S, Saunders R, Annang L, Tavakoli A. Relationships between stigma, social support, and depression in HIV-infected African American women living in the rural Southeastern United States. J Assoc Nurses AIDS Care. 2010;21(2):144–52.

    Article  PubMed  Google Scholar 

  76. Grov C, Golub SA, Parsons JT, Brennan M, Karpiak SE. Loneliness and HIV-related stigma explain depression among older HIV-positive adults. AIDS Care. 2010;22(5):630–9.

    Article  PubMed  PubMed Central  Google Scholar 

  77. Ekstrand ML, Heylen E, Mazur A, Steward WT, Carpenter C, Yadav K, et al. The role of HIV stigma in ART adherence and quality of life among rural women living with HIV in India. AIDS Behav. 2018;22(12):3859–68.

    Article  PubMed  PubMed Central  Google Scholar 

  78. Wilson IB, Bangsberg DR, Shen J, Simoni JM, Reynolds NR, Goggin K, et al. Heterogeneity among studies in rates of decline of ART adherence over time: results from the MACH14 study (1999). J Acquired Imm Deficiency Syndromes. 2013;64(5):448.

    Article  Google Scholar 

  79. Stirratt MJ, Remien RH, Smith A, Copeland OQ, Dolezal C, Krieger D. The role of HIV serostatus disclosure in antiretroviral medication adherence. AIDS Behav. 2006;10(5):483–93.

    Article  PubMed  Google Scholar 

  80. Rudolph A, Tobin K, Rudolph J, Latkin C. Web-based survey application to collect contextually relevant geographic data with exposure times: application development and feasibility testing. JMIR Public Health Surveill. 2018;4(1):e12.

    Article  PubMed  PubMed Central  Google Scholar 

  81. Radloff LS. The CES-D scale: A self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1(3):385–401.

    Article  Google Scholar 

  82. Golub ET, Latka M, Hagan H, Havens JR, Hudson SM, Kapadia F, et al. Screening for depressive symptoms among HCV-infected injection drug users: examination of the utility of the CES-D and the Beck Depression Inventory. J Urban Health. 2004;81(2):278–90.

    Article  PubMed  PubMed Central  Google Scholar 

  83. Wisniewski AB, Brown TT, John M, Cofranceso J Jr, Golub ET, Ricketts EP, et al. Cortisol levels and depression in men and women using heroin and cocaine. Psychoneuroendocrinology. 2006;31(2):250–5.

    Article  CAS  PubMed  Google Scholar 

  84. Perdue T, Hagan H, Thiede H, Valleroy L. Depression and HIV risk behavior among Seattle-area injection drug users and young men who have sex with men. AIDS Educ Prev. 2003;15(1):81–92.

    Article  PubMed  Google Scholar 

  85. Kalichman SC, Simbayi LC, Cloete A, Mthembu PP, Mkhonta RN, Ginindza T. Measuring AIDS stigmas in people living with HIV/AIDS: the internalized AIDS-related stigma scale. AIDS Care. 2009;21(1):87–93.

    Article  PubMed  Google Scholar 

  86. Rao D, Kekwaletswe T, Hosek S, Martinez J, Rodriguez F. Stigma and social barriers to medication adherence with urban youth living with HIV. AIDS Care. 2007;19(1):28–33.

    Article  CAS  PubMed  Google Scholar 

  87. Evangeli M, Wroe AL. HIV disclosure anxiety: A systematic review and theoretical synthesis. AIDS Behav. 2017;21(1):1–11.

    Article  PubMed  Google Scholar 

  88. 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 

  89. McNutt L-A, Hafner J-P, Xue X. Correcting the odds ratio in cohort studies of common outcomes. JAMA. 1999;282(6):529.

    Article  CAS  PubMed  Google Scholar 

  90. McNutt L-A, Wu C, Xue X, Hafner JP. Estimating the relative risk in cohort studies and clinical trials of common outcomes. Am J Epidemiol. 2003;157(10):940–3.

    Article  PubMed  Google Scholar 

  91. Bieler GS, Brown GG, Williams RL, Brogan DJ. Estimating model-adjusted risks, risk differences, and risk ratios from complex survey data. Am J Epidemiol. 2010;171(5):618–23.

    Article  PubMed  Google Scholar 

  92. Chen W, Shi J, Qian L, Azen SP. Comparison of robustness to outliers between robust poisson models and log-binomial models when estimating relative risks for common binary outcomes: a simulation study. BMC Med Res Methodol. 2014;14(1):82.

    Article  PubMed  PubMed Central  Google Scholar 

  93. Yelland LN, Salter AB, Ryan P. Performance of the modified Poisson regression approach for estimating relative risks from clustered prospective data. Am J Epidemiol. 2011;174(8):984–92.

    Article  PubMed  Google Scholar 

  94. Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159(7):702–6.

    Article  PubMed  Google Scholar 

  95. StataCorp. Stata Statistical Software: Release 15. College Station, TX: StataCorp LLC; 2017.

  96. Knol MJ, VanderWeele TJ. Recommendations for presenting analyses of effect modification and interaction. Int J Epidemiol. 2012;41(2):514–20.

    Article  PubMed  PubMed Central  Google Scholar 

  97. Sabin LL, Desilva MB, Hamer DH, Keyi X, Yue Y, Wen F, et al. Barriers to adherence to antiretroviral medications among patients living with HIV in southern China: a qualitative study. AIDS Care. 2008;20(10):1242–50.

    Article  PubMed  PubMed Central  Google Scholar 

  98. Kalichman SC, Mathews C, Banas E, Kalichman MO. Treatment adherence in HIV stigmatized environments in South Africa: stigma avoidance and medication management. Int J STD AIDS. 2019;30(4):362–70.

    Article  PubMed  Google Scholar 

  99. Golin C, Isasi F, Bontempi JB, Eng E. Secret pills: HIV-positive patients’ experiences taking antiretroviral therapy in North Carolina. AIDS Educ Prev. 2002;14(4):318–29.

    Article  PubMed  Google Scholar 

  100. Dlamini PS, Wantland D, Makoae LN, Chirwa M, Kohi TW, Greeff M, et al. HIV stigma and missed medications in HIV-positive people in five African countries. AIDS Patient Care STDS. 2009;23(5):377–87.

    Article  PubMed  PubMed Central  Google Scholar 

  101. VanderWeele TJ, Knol MJ. A tutorial on interaction. Epidemiologic Methods. 2014;3(1):33–72.

    Article  Google Scholar 

  102. Rothman KJ, Greenland S, Lash TL. Modern epidemiology. Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins; 2008.

  103. Weinberg CR. Interaction and exposure modification: are we asking the right questions? Am J Epidemiol. 2012;175(7):602–5.

    Article  PubMed  PubMed Central  Google Scholar 

  104. Rimal RN, Real K. Understanding the influence of perceived norms on behaviors. Commun Theory. 2003;13(2):184–203.

    Article  Google Scholar 

  105. Tankard ME, Paluck EL. Norm perception as a vehicle for social change. Soc Issues Policy Rev. 2016;10(1):181–211.

    Article  Google Scholar 

  106. Mattern JL, Neighbors C. Social norms campaigns: examining the relationship between changes in perceived norms and changes in drinking levels. J Stud Alcohol. 2004;65(4):489–93.

    Article  PubMed  Google Scholar 

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This work was supported by grants K01 DA033879 to investigator Abby E. Rudolph and R01 DA032217 to investigator Carl Latkin from the National Institute on Drug Abuse and grant R21 AI131979 to investigator Abby E. Rudolph from the National Institutes of Allergy and Infectious Diseases. This publication also resulted (in part) from research supported by the Johns Hopkins University Center for AIDS Research, an NIH funded program (1P30AI094189), which is supported by the following NIH Co-Funding and Participating Institutes and Centers: NIAID, NCI, NICHD, NHLBI, NIDA, NIA, NIGMS, NIDDK, NIMHD. Dr. Dembo’s efforts were supported by T32HD007489 and U54 HD090256 from the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health and the University of Wisconsin-Madison. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. Any findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the organizations or agencies that provided support for this project.

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AER and RSD conceptualized the research question and study design. RSD authored the Stata post-estimation code and the corresponding tutorial for computing accurate strata-specific confidence intervals in the Appendix. AER reviewed the literature, wrote the initial manuscript draft, and reviewed multiple versions of the supplementary material. AER supervised the analytic plan and analyzed the data together with RSD, including replication of findings in SAS. RSD reviewed multiple manuscript drafts. CL and KT oversaw data collection activities. All authors reviewed and approved the final version of the manuscript.

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Correspondence to Abby E. Rudolph.

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The study protocol and data collection instruments were approved by the institutional review board at Johns Hopkins University Bloomberg School of Public Health.

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All participants provided written informed consent to participate in the study and the study protocol and data collection instruments were approved by the institutional review board at Johns Hopkins University Bloomberg School of Public Health.

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Only de-identified and aggregate data are presented in this paper.

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Rudolph, A.E., Dembo, R.S., Tobin, K. et al. Perceived HIV Treatment Norms Modify the Association Between HIV-Related Stigma and Adherence to Antiretroviral Therapy Among Persons Living with HIV in Baltimore, Maryland. AIDS Behav 26, 537–548 (2022). https://doi.org/10.1007/s10461-021-03409-3

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