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Sex Work as a Mediator Between Female Gender and Incident HIV Infection Among People Who Inject Drugs in Tijuana, Mexico

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Abstract

We studied mechanisms driving gender differences in HIV incidence among 651 women and men who inject drugs (PWID) in Tijuana, Mexico, hypothesizing that sex work will mediate the association between female gender and HIV incidence. Of 43 HIV seroconversions occurring between 2011 and 2018, 8.8% were among females and 5.2% among males. HIV incidence density was significantly higher among females versus males (1.75 per 100 person years [PY], 95% CI 1.16–2.66, vs. 0.95 per 100 PY, 95% CI 0.62–1.47). Factors significantly associated with HIV seroconversion were: sex work (adjusted hazard ratio [aHR] = 2.25, 95% CI 1.05–4.80); methamphetamine injection (aHR = 2.30, 95% CI 1.12–4.73); and methamphetamine and heroin co-injection in the past six months (aHR = 2.26, 95% CI 1.23–4.15). In mediation analyses, sex work mediated a substantial proportion (84.3%) of the association between female gender and HIV incidence. Interventions should target female PWID who engage in sex work to reduce gender-related disparities in HIV incidence.

Resumen

Estudiamos los mecanismos que impulsan las diferencias de género en la incidencia del VIH entre 651 mujeres y hombres que se inyectan drogas (PQID) en Tijuana, México. Nuestra hipótesis es que el trabajo sexual puede ser una variable mediadora entre la asociación del género femenino y la incidencia del VIH. Entre 2011 y 2018 ocurrieron 43 seroconversiones de VIH: 8.8% fueron entre mujeres y 5.2% entre hombres. La densidad de incidencia del VIH fue significativamente mayor entre las mujeres en comparación con los hombres (1.75 por 100 personas años [PY], IC 95% = 1.16–2.66, vs. 0.95 por 100 PY, IC 95% = 0.62–1.47). Los factores con una asociación significativa con la seroconversión del VIH fueron: trabajo sexual (razón de riesgo ajustada [aHR]=2.25, IC 95% = 1.05–4.80); inyección de metanfetamina (aHR=2.30, IC 95% = 1.12–4.73); y la coinyección de metanfetamina y heroína en los últimos seis meses (aHR = 2.26, IC 95% = 1.23–4.15). En los análisis de mediación, el trabajo sexual medió una proporción sustancial (84.3%) de la asociación entre el género femenino y la incidencia del VIH. Intervenciones deben ser dirigidas a las mujeres PQID que participan en el trabajo sexual para reducir la incidencia del VIH relacionada con las disparidades de género.

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Abbreviations

PWID:

People who inject drugs

FSW:

Female sex workers

LMICs:

Low and middle-income countries

References

  1. UNAIDS. Mexico [Internet]. 2018 [cited 2018 Jun 28]. Available from: https://www.unaids.org/en/regionscountries/countries/mexico

  2. Mexico. Secretaría de Salubridad y Asistencia. SA, Armenta RF, Abramovitz D, Lozada R, Vera A, Garfein RS, et al. Salud pública de México, Vol. 57. Salud Pública de México. [Secretaría de Salubridad y Asistencia]; 2015;57:107–112

  3. CENSIDA. Estimation of population size. Men who have sex with men and People who inject drugs in priority cities for project "Global Fund to Fight HIV, Tuberculosis, and Malaria Round. 2010.

  4. Strathdee SA, Lozada R, Ojeda VD, Pollini RA, Brouwer KC, Vera A, et al. Differential effects of migration and deportation on HIV infection among male and female injection drug users in Tijuana, Mexico. PLoS ONE. 2008;3(7):e2690.

    PubMed  PubMed Central  Google Scholar 

  5. Mathers BM, Degenhardt L, Phillips B, Wiessing L, Hickman M, Strathdee SA, et al. Global epidemiology of injecting drug use and HIV among people who inject drugs: a systematic review. Lancet. 2008;372(9651):1733–45.

    PubMed  Google Scholar 

  6. Des Jarlais DC, Feelemyer JP, Modi SN, Arasteh K, Hagan H. Are females who inject drugs at higher risk for HIV infection than males who inject drugs: an international systematic review of high seroprevalence areas. Drug Alcohol Depend 2012;124(1–2):95–107. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3353009/

  7. Des Jarlais DC, Feelemyer JP, Modi SN, Arasteh K, Mathers BM, Degenhardt L, et al. Transitions from injection-drug-use-concentrated to self-sustaining heterosexual HIV epidemics: patterns in the international data. PLoS ONE. 2012;7(3):e31227. https://doi.org/10.1371/journal.pone.0031227.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Rhodes T, Simic M. Transition and the HIV risk environment. BMJ. 2005;331(7510):220–3.

    PubMed  PubMed Central  Google Scholar 

  9. Strathdee SA, Hallett TB, Bobrova N, Rhodes T, Booth R, Abdool R, et al. HIV and risk environment for injecting drug users: the past, present, and future. Lancet. 2010;376(9737):268–84.

    PubMed  PubMed Central  Google Scholar 

  10. Network EHR. Women who use drugs. https://www.harm-reduction.org/issues/women-who-use-drugs, Accessed Jun 28, 2018

  11. Simmonds L, Coomber R. Injecting drug users: a stigmatised and stigmatising population. Int J Drug Policy. 2009;20(2):121–30. https://doi.org/10.1016/j.drugpo.2007.09.002.

    Article  PubMed  Google Scholar 

  12. Braitstein P, Li K, Tyndall M, Spittal P, O’Shaughnessy MV, Schilder A, et al. Sexual violence among a cohort of injection drug users. Soc Sci Med. 2003;57(3):561–9. https://www.sciencedirect.com/science/article/pii/S0277953602004033

  13. UNODC. HIV/AIDS prevention and care for female injecting drug users. 2006.

  14. Benotsch EG, Somlai AM, Pinkerton SD, Kelly JA, Ostrovski D, Gore-Felton C, et al. Drug use and sexual risk behaviours among female Russian IDUs who exchange sex for money or drugs. Int J STD AIDS. 2004;15(5):343–7. https://doi.org/10.1177/095646240401500514.

    Article  CAS  PubMed  Google Scholar 

  15. Cleland CM, Des Jarlais DC, Perlis TE, Stimson G, Poznyak V, Group the WHOPIIDICS. HIV risk behaviors among female IDUs in developing and transitional countries. BMC Public Health. 2007;7:271. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2140060/

  16. Razani N, Mohraz M, Kheirandish P, Malekinejad M, Malekafzali H, Mokri A, et al. HIV risk behavior among injection drug users in Tehran, Iran. Addiction. 2007;102(9):1472–82. https://www.ncbi.nlm.nih.gov/pubmed/17645427, Oct 7, 2018

  17. Bucardo J, Brouwer KC, Magis-Rodríguez C, Ramos R, Fraga M, Perez SG, et al. Historical trends in the production and consumption of illicit drugs in Mexico: implications for the prevention of blood borne infections. Drug Alcohol Depend 2005;79(3):281–93. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2196212/

  18. Rodríguez CM, Marques LF, Touzé G. HIV and injection drug use in Latin America. AIDS. 2002;16:S34–S41.

    PubMed  Google Scholar 

  19. Strathdee SA, Philbin MM, Semple SJ, Pu M, Orozovich P, Martinez G, et al. Correlates of injection drug use among female sex workers in two Mexico–US border cities. Drug Alcohol Depend. 2008;92(1–3):132–40.

    PubMed  Google Scholar 

  20. Bucardo J, Semple SJ, Fraga-Vallejo M, Davila W, Patterson TL. A qualitative exploration of female sex work in Tijuana, Mexico. Arch Sex Behav 2004;33(4):343–51. https://www.ncbi.nlm.nih.gov/pubmed/15162080, Accessed Aug 8, 2018

  21. Azim T, Bontell I, Strathdee SA. Women, drugs and HIV. Int J Drug Policy 2015;26:S16–S21. https://www.sciencedirect.com/science/article/pii/S0955395914002655

  22. Morris MD, Lemus H, Wagner KD, Martinez G, Lozada R, Gómez RMG, et al. Factors associated with pathways toward concurrent sex work and injection drug use among female sex workers who inject drugs in northern Mexico. Addiction. 2012;108(1):161–70. https://doi.org/10.1111/j.1360-0443.2012.04016.x.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Azim T, Chowdhury EI, Reza M, Ahmed M, Uddin MT, Khan R, et al. Vulnerability to HIV infection among sex worker and non-sex worker female injecting drug users in Dhaka, Bangladesh: evidence from the baseline survey of a cohort study. Harm Reduct J 2006;3:33. https://www.ncbi.nlm.nih.gov/pubmed/17109763, Accessed Sep 2, 2018

  24. El-Bassel N, Shaw SA, Dasgupta A, Strathdee SA. People who inject drugs in intimate relationships: it takes two to combat HIV. Curr HIV/AIDS Rep 2014;11(1):45–51. https://www.ncbi.nlm.nih.gov/pubmed/24477931, Accessed Sep 2, 2018

  25. Shannon K, Strathdee SA, Shoveller J, Rusch M, Kerr T, Tyndall MW. Structural and environmental barriers to condom use negotiation with clients among female sex workers: implications for HIV-prevention strategies and policy. Am J Public Health. 2009;99(4):659–65.

    PubMed  PubMed Central  Google Scholar 

  26. Strathdee SA, Lozada R, Martinez G, Vera A, Rusch M, Nguyen L, et al. Social and structural factors associated with HIV infection among female sex workers who inject drugs in the Mexico-US border region. PLoS ONE. 2011;6(4):e19048. https://doi.org/10.1371/journal.pone.0019048.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Park JN, Footer KHA, Decker MR, Tomko C, Allen ST, Galai N, et al. Interpersonal and structural factors associated with receptive syringe-sharing among a prospective cohort of female sex workers who inject drugs. Addiction. 2019;114:1204–13.

    PubMed  PubMed Central  Google Scholar 

  28. Robertson AM, Garfein RS, Wagner KD, Mehta SR, Magis-Rodriguez C, Cuevas-Mota J, et al. Evaluating the impact of Mexico’s drug policy reforms on people who inject drugs in Tijuana, B.C., Mexico, and San Diego, CA, United States: a binational mixed methods research agenda. Harm Reduct J. 2014;11:4.

    PubMed  PubMed Central  Google Scholar 

  29. CAPI Software—Computer Assisted Personal Interviewing Software. https://www.surveysystem.com/CAPI-software.htm, Accessed Feb 10, 2019

  30. Advanced Quality Rapid Anti-HIV (1&2) Test. https://www.test4.com/packungsbeilage-en.pdf, Accessed Jun 29, 2018

  31. Rhodes T. The, “risk environment”: a framework for understanding and reducing drug-related harm. Int J Drug Policy. 2002;13(2):85–94. https://doi.org/10.1016/S0955-3959(02)00007-5.

    Article  Google Scholar 

  32. Westreich D, Greenland S. The table 2 fallacy: presenting and interpreting confounder and modifier coefficients. Am J Epidemiol. 2013;177(4):292–8.

    PubMed  PubMed Central  Google Scholar 

  33. Strathdee SA, Lozada R, Pollini RA, Brouwer KC, Mantsios A, Abramovitz DA, et al. Individual, social, and environmental influences associated with HIV infection among injection drug users in Tijuana, Mexico. JAIDS J Acquir Immune Defic Syndr. 2008;47(3):369–76. https://www.ncbi.nlm.nih.gov/pubmed/18176320, Accessed Jun 29, 2018

  34. Sypsa V, Paraskevis D, Malliori M, Nikolopoulos GK, Panopoulos A, Kantzanou M, et al. Homelessness and other risk factors for HIV infection in the current outbreak among injection drug users in Athens. Greece Am J Public Health. 2015;105(1):196–204.

    PubMed  Google Scholar 

  35. Strathdee SA, West BS, Reed E, Moazen B, Moazan B, Azim T, et al. Substance use and HIV among female sex workers and female prisoners: risk environments and implications for prevention, treatment, and policies. J Acquir Immune Defic Syndr. 2015;69Suppl 2(01):S110–7. https://www.ncbi.nlm.nih.gov/pubmed/25978477, Accessed Sep 3, 2018

  36. Rolon ML, Syvertsen JL, Robertson AM, Rangel MG, Martinez G, Ulibarri MD, et al. The influence of having children on HIV-related risk behaviors of female sex workers and their intimate male partners in two Mexico–US border cities. J Trop Pediatr. 2013;59(3):214–9.

    PubMed  PubMed Central  Google Scholar 

  37. Valeri L, VanderWeele TJ. SAS Macro for causal mediation analysis with survival data. Epidemiology. 2015;26(2):e23–4. https://journals.lww.com/epidem/Fulltext/2015/03000/SAS_Macro_for_Causal_Mediation_Analysis_with.32.aspx

  38. VanderWeele T, Knol MJ. A Tutorial on interaction. Epidemiol Methods. 2014;3(1):1–40.

    Google Scholar 

  39. Andersson T, Alfredsson L, Källberg H, Zdravkovic S, Ahlbom A. Calculating measures of biological interaction. Eur J Epidemiol. 2005;20(7):575–9.

    PubMed  Google Scholar 

  40. Spittal PM, Craib KJP, Wood E, Laliberté N, Li K, Tyndall MW, et al. Risk factors for elevated HIV incidence rates among female injection drug users in Vancouver. Can Med Assoc J. 2002;166(7):894 LP–899. https://www.cmaj.ca/content/166/7/894.abstract

  41. El-Bassel N, Strathdee SA. Women who use or inject drugs: an action agenda for women-specific, multilevel and combination HIV prevention and research. J Acquir Immune Defic Syndr. 2015;69(Suppl 2):S182.

    PubMed  PubMed Central  Google Scholar 

  42. El-Bassel N, Wechsberg WM, Shaw SA. Dual HIV risk and vulnerabilities among women who use or inject drugs: no single prevention strategy is the answer. Curr Opin HIV AIDS. 2012;7(4). https://journals.lww.com/co-hivandaids/Fulltext/2012/07000/Dual_HIV_risk_and_vulnerabilities_among_women_who.8.aspx

  43. Strathdee SA, Abramovitz D, Lozada R, Martinez G, Rangel MG, Vera A, et al. Reductions in HIV/STI incidence and sharing of injection equipment among female sex workers who inject drugs: results from a randomized controlled trial. PLoS ONE. 2013;8(6):e65812.

    CAS  PubMed  PubMed Central  Google Scholar 

  44. Pitpitan E V., Patterson TL, Abramovitz D, Vera A, Martinez G, Staines H, et al. Policing behaviors, safe injection self-efficacy, and intervening on injection risks: Moderated mediation results from a randomized trial. Heal Psychol. 2016;35(1):87–91. https://www.ncbi.nlm.nih.gov/pubmed/26120851, Accessed Aug 17, 2018

  45. Cepeda JA, Burgos JL, Kahn JG, Padilla R, Martinez PEM, Segovia LA, et al. Evaluating the impact of global fund withdrawal on needle and syringe provision, cost and use among people who inject drugs in Tijuana, Mexico: a costing analysis. BMJ Open. 2019;9(1):e026298.

    PubMed  PubMed Central  Google Scholar 

  46. Bórquez A, Abramovitz D, Cepeda J, Rangel G, González-Zúñiga P, Martin NK, Magis-Rodríguez C, Strathdee SA. Access to needle and syringe programs and syringe sharing among people who inject drugs in Tijuana, Mexico, before and after the Global Fund withdrawal: the importance of adequate coverage of harm reduction programs. Salud Ment. 2019;42(4):149–56.

    Google Scholar 

  47. El-Bassel N, Strathdee SA. Women who use or inject drugs: an action agenda for women-specific, multilevel, and combination HIV prevention and research. J Acquir Immune Defic Syndr. 2015;69(Suppl 2):S182–90. https://www.ncbi.nlm.nih.gov/pubmed/25978486, Accessed Jul 20, 2018

  48. Cruz MF, Mantsios A, Ramos R, Case P, Brouwer KC, Ramos ME, et al. A qualitative exploration of gender in the context of injection drug use in two US–Mexico border cities. AIDS Behav. 2007;11(2):253–62.

    PubMed  PubMed Central  Google Scholar 

  49. Ulibarri MD, Hiller SP, Lozada R, Rangel MG, Stockman JK, Silverman JG, et al. Prevalence and characteristics of abuse experiences and depression symptoms among injection drug-using female sex workers in Mexico. J Environ Public Health. 2013. https://doi.org/10.1155/2013/631479.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Bandopadhyay N, Ray K, Banerjee A, Jana S, Saha A, Kerrigan D, et al. Operationalizing an effective community development intervention for reducing HIV vulnerability in female sex work: lessons learned from the Sonagachi project in Kolkata, India. In: International Conference on AIDS Barcelona, Spain: International AIDS Society (IAS). 2002.

  51. Jana S, Singh S. Beyond medical model of STD intervention—lessons from Sonagachi. Indian J Public Health. 1995;39(3):125–31.

    CAS  PubMed  Google Scholar 

  52. Rojanapithayakorn W, Hanenberg R. The 100% condom program in Thailand. Aids. 1996;10(1):1–8.

    CAS  PubMed  Google Scholar 

  53. Hanenberg RS, Sokal DC, Rojanapithayakorn W, Kunasol P. Impact of Thailand’s HIV-control programme as indicated by the decline of sexually transmitted diseases. Lancet. 1994;344(8917):243–5.

    CAS  PubMed  Google Scholar 

  54. Kerrigan D, Moreno L, Rosario S, Gomez B, Jerez H, Barrington C, et al. Environmental–structural interventions to reduce HIV/STI risk among female sex workers in the Dominican Republic. Am J Public Health. 2006;96(1):120–5.

    PubMed  PubMed Central  Google Scholar 

  55. Strathdee SA, Sherman SG. The role of sexual transmission of HIV infection among injection and non-injection drug users. J Urban Health. 2003;80(4 Suppl 3):iii7–14. https://www.ncbi.nlm.nih.gov/pubmed/14713667, Accessed Oct 7, 2018

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Acknowledgements

The authors gratefully acknowledge the valuable contributions of all study participants and staff.

Funding

This study was funded by the National Institute on Drug Abuse (Grant Nos. R01DA031074, R37DA019829, T32 DA 23356-11).

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Conceived of the study design: JPJ, SS, EP, DA and BSW; Analyzed the data: JPJ and DA; Wrote the paper: JPJ, EP, and DA; Edited the paper: JPJ, EP, DA and SS; Oversaw data collection: SS, GR and PGZ.

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Correspondence to Jennifer P. Jain.

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Jain, J.P., Abramovitz, D., Strathdee, S.A. et al. Sex Work as a Mediator Between Female Gender and Incident HIV Infection Among People Who Inject Drugs in Tijuana, Mexico. AIDS Behav 24, 2720–2731 (2020). https://doi.org/10.1007/s10461-020-02828-y

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