Skip to main content

Advertisement

Log in

Financial Vulnerability and Its Association with HIV Transmission Risk Behaviors Among People Who Inject Drugs in Kyrgyzstan

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

Abstract

The Family Resource Scale (FRS) is a three-factor financial vulnerability (FV) measure. FV may impact HIV transmission risks. Cross-sectional data from 279 people who inject drugs (PWID) in Kyrgyzstan surveyed April–October 2021 was used to validate the FRS and estimate associations between FV on past 6-month injection and sexual HIV risk outcomes. The three-factor FRS reflected housing, essential needs, and fiscal independence, and had good internal reliability and structural validity. Greater cumulative, housing, and essential needs FRS scores were associated with increased relative risk on public injection (adjusted risk ratio [aRR], 95% confidence interval [95% CI]: 1.03 [1.01, 1.04]; aRR [95% CI]: 1.06 [1.02, 1.09]; aRR [95% CI]: 1.06 [1.03, 1.08], respectively, all p < 0.001) and preparing injections with unsafe water sources (aRR [95% CI]: 1.04 [1.02, 1.07]; aRR [95% CI]: 1.09 [1.04, 1.15]; aRR [95% CI]: 1.08 [1.03, 1.14], respectively, all p < 0.001). Results suggest that PWID housing- and essential needs-related FV may exacerbate injection HIV transmission risks. Reducing PWIDs’ FV may enhance the HIV response in Kyrgyzstan.

Resumen

La Escala de Recursos Familiares (FRS, por sus siglas en inglés) es una medida de vulnerabilidad financiera (FV, por sus siglas en inglés) de tres factores. La FV puede afectar los riesgos de transmisión del VIH. Se utilizaron datos transversales de 279 personas que se inyectan drogas (PWID, por sus siglas en inglés) en Kirguistán encuestadas de abril a octubre de 2021 para validar la FRS y estimar las asociaciones entre la FV en la inyección y los resultados de riesgo sexual del VIH en los últimos seis meses. La FRS de tres factores reflejaba la vivienda, las necesidades esenciales y la independencia fiscal, y presentaba una buena confiabilidad interna y validez estructural. Mayores puntajes acumulativos de la FRS en vivienda y necesidades esenciales se asociaron con un mayor riesgo relativo en la inyección pública (Riesgo relativo ajustada [aRR], Intervalo de Confianza del 95% [IC95%]: 1.03 [1.01, 1.04]; aRR [IC95%]: 1.06 [1.02, 1.09]; aRR [IC95%]: 1.06 [1.03, 1.08], respectivamente, todos p < 0.001) y la preparación de inyección con fuentes de agua no seguras (aRR [IC95%]: 1.04 [1.02, 1.07]; aRR [IC95%]: 1.09 [1.04, 1.15]; aRR [IC95%]: 1.08 [1.03, 1.14], respectivamente, todos p < 0.001). Los resultados sugieren que la FV relacionada con la vivienda y las necesidades esenciales de las PWID puede exacerbar los riesgos de transmisión del VIH por la inyección. Reducir la FV de las PWID puede mejorar la respuesta al VIH en Kirguistán.

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

Similar content being viewed by others

References

  1. Zhao F, Benedikt C, Wilson D. Tackling the World’s fastest-growing HIV epidemic: more efficient HIV responses in eastern Europe and Central Asia. Washington: World Bank Publications; 2020. https://doi.org/10.1596/978-1-4648-1523-2.

  2. Joint United Nations Programme on HIV/AIDS. Regions: Eastern Europe and Central Asia. https://www.unaids.org/en/regionscountries/easterneuropeandcentralasia.

  3. Joint United Nations Programme on HIV/AIDS. AIDSinfo: Kyrgyzstan. 2021.

  4. DeHovitz J, Uuskula A, El-Bassel N. The HIV epidemic in eastern Europe and central Asia. Curr HIV/AIDS Rep. 2014;11(2):168–76. https://doi.org/10.1007/s11904-014-0202-3.

    Article  PubMed  Google Scholar 

  5. Altice FL, Azbel L, Stone J, et al. The perfect storm: incarceration and the high-risk environment perpetuating transmission of HIV, hepatitis C virus, and tuberculosis in Eastern Europe and Central Asia. Lancet. 2016;388(10050):1228–48. https://doi.org/10.1016/S0140-6736(16)30856-X.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Strathdee SA, Hallett TB, Bobrova N, et al. HIV and risk environment for injecting drug users: the past, present, and future. Lancet. 2010;376(9737):268–84. https://doi.org/10.1016/S0140-6736(10)60743-X.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Idrisov B, Lunze K, Cheng DM, et al. Food insecurity, HIV disease progression and access to care among HIV-infected Russians not on ART. AIDS Behav. 2017;21(12):3486–95. https://doi.org/10.1007/s10461-017-1885-4.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Lee JO, Hill KG, Hartigan LA, et al. Unemployment and substance use problems among young adults: Does childhood low socioeconomic status exacerbate the effect? Soc Sci Med. 2015;143:36–44. https://doi.org/10.1016/j.socscimed.2015.08.016.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Mossakowski KN. Is the duration of poverty and unemployment a risk factor for heavy drinking? Soc Sci Med. 2008;67(6):947–55. https://doi.org/10.1016/j.socscimed.2008.05.019.

    Article  PubMed  Google Scholar 

  10. Henkel D. Unemployment and substance use: a review of the literature (1990–2010). Curr Drug Abuse Rev. 2011;4(1):4–27. https://doi.org/10.2174/1874473711104010004.

    Article  PubMed  Google Scholar 

  11. Braveman PA, Cubbin C, Egerter S, et al. Socioeconomic status in health research: one size does not fit all. JAMA. 2005;294(22):2879–88. https://doi.org/10.1001/jama.294.22.2879.

    Article  CAS  PubMed  Google Scholar 

  12. Oakes JM, Rossi PH. The measurement of SES in health research: current practice and steps toward a new approach. Soc Sci Med. 2003;56(4):769–84. https://doi.org/10.1016/S0277-9536(02)00073-4.

    Article  PubMed  Google Scholar 

  13. Cirino PT, Chin CE, Sevcik RA, Wolf M, Lovett M, Morris RD. Measuring socioeconomic status: reliability and preliminary validity for different approaches. Assessment. 2002;9(2):145–55. https://doi.org/10.1177/10791102009002005.

    Article  PubMed  Google Scholar 

  14. Shavers VL. Measurement of socioeconomic status in health disparities research. J Natl Med Assoc. 2007;99(9):1013.

    PubMed  PubMed Central  Google Scholar 

  15. Williams VF, Smith AA, Villanti AC, et al. Validity of a subjective financial situation measure to assess socioeconomic status in US young adults. J Public Health Manag Pract. 2017;23(5):487–95. https://doi.org/10.1097/PHH.0000000000000468.

    Article  PubMed  Google Scholar 

  16. Davern M, Rodin H, Beebe TJ, Call KT. The effect of income question design in health surveys on family income, poverty and eligibility estimates. Health Serv Res. 2005;40(5p1):1534–52. https://doi.org/10.1111/j.1475-6773.2005.00416.x.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Ompad DC, Palamar JJ, Krause KD, Kapadia F, Halkitis PN. Reliability and validity of a material resources scale and its association with depression among young men who have sex with men: the P18 cohort study. Am J Mens Health. 2018;12(5):1384–97. https://doi.org/10.1177/1557988316651206.

    Article  PubMed  Google Scholar 

  18. Ompad DC, Nandi V, Cerdá M, Crawford N, Galea S, Vlahov D. Beyond income: Material resources among drug users in economically-disadvantaged New York City neighborhoods. Drug Alcohol Depend. 2012;120(1–3):127–34. https://doi.org/10.1016/j.drugalcdep.2011.07.008.

    Article  PubMed  Google Scholar 

  19. Smith LR, Shumskaia N, Kurmanalieva A, et al. Cohort profile: the Kyrgyzstan InterSectional Stigma (KISS) injection drug use cohort study. Harm Reduct J. 2022;19(1):1–13. https://doi.org/10.1186/s12954-022-00633-5.

    Article  Google Scholar 

  20. Hayes AF, Coutts JJ. Use omega rather than Cronbach’s alpha for estimating reliability. But…. Commun Methods Meas. 2020;14(1):1–24. https://doi.org/10.1080/19312458.2020.1718629.

    Article  Google Scholar 

  21. Dunn TJ, Baguley T, Brunsden V. From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. Br J Psychol. 2014;105(3):399–412. https://doi.org/10.1111/bjop.12046.

    Article  PubMed  Google Scholar 

  22. Jolley E, Rhodes T, Platt L, et al. HIV among people who inject drugs in Central and Eastern Europe and Central Asia: a systematic review with implications for policy. BMJ Open. 2012;2(5):e001465. https://doi.org/10.1136/bmjopen-2012-001465.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Chowdhury MZI, Turin TC. Variable selection strategies and its importance in clinical prediction modelling. Family Med Commun Health. 2020;8(1):e000262.

    Article  Google Scholar 

  24. Hosmer Jr DW, Lemeshow S, Sturdivant RX. Applied logistic regression. John Wiley & Sons; 2013.

  25. Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159(7):702–6. https://doi.org/10.1093/aje/kwh090.

    Article  PubMed  Google Scholar 

  26. Harris M, Scott J, Hope V, Wright T, McGowan C, Ciccarone D. Navigating environmental constraints to injection preparation: the use of saliva and other alternatives to sterile water among unstably housed PWID in London. Harm Reduct J. 2020;17(1):1–11

    Google Scholar 

  27. Ickowicz S, Wood E, Dong H et al. Association between public injecting and drug-related harm among HIV-positive people who use injection drugs in a Canadian setting: a longitudinal analysis. Drug Alcohol Depend. 2017;180:33–38

    Article  PubMed  PubMed Central  Google Scholar 

  28. Wolfe D. Pointing the way: harm reduction in Kyrgyz Republic. Bishkek: Harm Reduction Association of Kyrgyzstan “Partners’ network; 2005.

  29. Briggs D, Rhodes T, Marks D, Kimber J, Holloway G, Jones S. Injecting drug use and unstable housing: Scope for structural interventions in harm reduction. Drugs Educ Prev Policy. 2009;16(5):436–50. https://doi.org/10.1080/09687630802697685.

    Article  Google Scholar 

  30. Woodhall-Melnik JR, Dunn JR. A systematic review of outcomes associated with participation in Housing First programs. Hous Stud. 2016;31(3):287–304. https://doi.org/10.1080/02673037.2015.1080816.

    Article  Google Scholar 

  31. Fitzpatrick-Lewis D, Ganann R, Krishnaratne S, Ciliska D, Kouyoumdjian F, Hwang SW. Effectiveness of interventions to improve the health and housing status of homeless people: a rapid systematic review. BMC Public Health. 2011;11(1):1–14. https://doi.org/10.1186/1471-2458-11-638.

    Article  Google Scholar 

  32. Rezaei O, Ghiasvand H, Higgs P, et al. Factors associated with injecting-related risk behaviors among people who inject drugs: a systematic review and meta-analysis study. J Addict Dis. 2020;38(4):420–37. https://doi.org/10.1080/10550887.2020.1781346.

    Article  PubMed  Google Scholar 

  33. United Nations Economic Commission for Europe. Country profiles on the housing sector: Kyrgyzstan. San Francisco: United Nations; 2010.

    Google Scholar 

  34. Aidala AA, Sumartojo E. Why housing? AIDS Behav. 2007;11(2):1–6. https://doi.org/10.1007/s10461-007-9302-z.

    Article  PubMed  Google Scholar 

  35. Busza J. Sex work and migration: the dangers of oversimplification: a case study of Vietnamese women in Cambodia. Health Hum Rights. 2004;7(2):231–49. https://doi.org/10.2307/4065357.

    Article  Google Scholar 

  36. Sinha S. Reasons for women’s entry into sex work: A case study of Kolkata, India. Sex Culture. 2015;19(1):216–35. https://doi.org/10.1007/S12119-014-9256-Z.

    Article  Google Scholar 

  37. Eurasian Harm Reduction Association. Policy note on the proportionality of the introduced fines for possession of narcotic drugs in the Kyrgyz Republic. Vilnius: Eurasian Harm Reduction Association; 2019.

    Google Scholar 

  38. Ochneva O. In Kyrgyzstan, fines for drug-related offences will grow 30-fold. Moscow: AIDS Foundation East West International; 2018.

    Google Scholar 

  39. United Nations Office on Drugs and Crime. Kyrgyzstan: Summary Report and Recommendations.

  40. European Monitoring Centre for Drugs and Drug Addiction. Kyrgyzstan: National Drug Laws. https://www.emcdda.europa.eu/publications/country-overviews/kg#nlaws. Accessed 29 Dec 2022.

  41. Rozanova J, Morozova O, Azbel L, et al. Perceptions of health-related community reentry challenges among incarcerated drug users in Azerbaijan, Kyrgyzstan, and Ukraine. J Urban Health. 2018;95(4):508–22. https://doi.org/10.1007/s11524-018-0256-4.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Beletsky L, Thomas R, Shumskaya N, Artamonova I, Smelyanskaya M. Police education as a component of national HIV response: lessons from Kyrgyzstan. Drug Alcohol Depend. 2013;132:S48–52. https://doi.org/10.1016/j.drugalcdep.2013.06.027.

    Article  PubMed  Google Scholar 

  43. Beletsky L, Thomas R, Smelyanskaya M, et al. Policy reform to shift the health and human rights environment for vulnerable groups: the case of Kyrgyzstan’s instruction 417. Health Hum Rts. 2012;14:34.

    Google Scholar 

Download references

Funding

This work was supported by the National Institutes of Health and Canadian Institutes of Health Research. Award Numbers R21TW011785, K01DA043421, and K01DA055521 from the National Institute on Drug Abuse and Fogarty International Center and CIHR PJH-175382 from the Canadian Institutes of Health Research. The San Diego Center for AIDS Research, Health Equity Sociobehavioral Science Core provided expert consultation on study design and recruitment strategies (P30 AI036214). The content is solely the responsibility of the authors and does not necessarily represent the views of the National Institutes of Health and Canadian Institutes of Health Research. Dan Werb is supported by the St. Michael’s Hospital Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Laramie R. Smith.

Ethics declarations

Conflict of interest

The authors report there are no competing interests to declare.

Research Involving Human Participants and/or Animals

This study was approved by the University of California, San Diego Institutional Review Board (IRB) and GLObal Research Institute (GLORI) Foundation IRB in Kyrgyzstan. The study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

Consent to Participate

Informed consent was obtained from all individual participants included in the study.

Additional information

Publisher's Note

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

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 18 KB)

Supplementary file2 (DOCX 17 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Algarin, A.B., Werb, D., Shumskaya, N. et al. Financial Vulnerability and Its Association with HIV Transmission Risk Behaviors Among People Who Inject Drugs in Kyrgyzstan. AIDS Behav 28, 310–319 (2024). https://doi.org/10.1007/s10461-023-04129-6

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10461-023-04129-6

Keywords

Navigation