AIDS and Behavior

, Volume 20, Issue 8, pp 1603–1608 | Cite as

Psychiatric Distress, Drug Use, and HIV Viral Load Suppression in Russia

  • A. Ustinov
  • A. Suvorova
  • A. Belyakov
  • A. Makhamatova
  • O. Levina
  • E. Krupitsky
  • D. Lioznov
  • L. Niccolai
  • R. Heimer
Brief Report

Abstract

To explore the influence of psychiatric distress and substance use on viral load suppression in HIV-infected patients taking ART we analyzed socio-demographic characteristics, CD4+ cells count and viral loads, the Symptom Check List-90 and the Addiction Severity Index of 75 patients who had taken ART for at least 6 month. Using viral load data as the marker of ART success, we divided the sample into two groups. Comparison of the groups showed that education, marriage, and female gender are predictors of optimal viral load suppression. Overall results failed to demonstrate substance use and psychiatric distress as predictors of viral load suppression.

Keywords

ART adherence HIV viral load Substance use Psychiatric distress symptoms 

Resumen

Analizamos caracteristicas sociodemográficas, recuento de células CD4, y carga viral, el Cuestionario de los 90 Síntomas (Symptom Check list-90) y el Indice De Severidad De Adicción de 75 pacientes que habían tomado TAR por lo menos por 6 meses para examinar la influencia de la angustia psiquiátrica y el consumo de sustancias en la supresión de la carga viral en pacientes infectados que toman TAR. Utilizando datos de la carga viral como el marcador de adherencia al TAR, dividimos la muestra en dos grupos. La comparación de los grupos mostró que la navels de educación, estado civil, y el sexo femenino son indicadores de la supresión óptima de la carga viral. En términos generales, los resultados no pudieron demostrar que el consumo de sustancias y la angustia psiquiátrica son indicadores de la supresión de la carga viral.

References

  1. 1.
    UNAIDS. Report on the global AIDS Epidemic 2013. Switzerland; Geneva 2013.Google Scholar
  2. 2.
    The amount of HIV-infected persons in Russia by December 1, 2014 [Internet]. http://www.hivrussia.org/files/spravka01_11_14.doc.
  3. 3.
    Paterson DL, Swindells S, Mohr J, et al. Adherence to protease inhibitor therapy and outcomes in patients with HIV infection. Ann Intern Med [Internet]. 2000;133:21–30. http://annals.ba0.biz/content/133/1/21.1.short.
  4. 4.
    Pecoraro A, Royer-Malvestuto C, Rosenwasser B, et al. Factors contributing to dropping out from and returning to HIV treatment in inner city primary care HIV clinic in the United States. AIDS Care. 2013;25:1399–406.CrossRefPubMedGoogle Scholar
  5. 5.
    McLellan AT, Luborsky L, Woody GE, O’Brien CP. An improved diagnostic evaluation instrument for substance abuse patients. The Addiction Severity Index. J Nerv Ment Dis. 1980;168:26–33.CrossRefPubMedGoogle Scholar
  6. 6.
    Derogatis LR, Savitz KL. The SCL-90-R, brief symptom inventory and matching clinical rating scales. In: Maruish ME, editor. The use of psychological testing for treatment planning and outcomes assessment. Philadelphia: Lawrence Erlbaum; 1999. p. 679–724.Google Scholar
  7. 7.
    Aбaбкoв BA, Иcypинa ГЛ, Кapвacapcкий БД, Кoлoтильщикoвa EA, Чexлaтый EИ. Paзpaбoткa мeтoдики интepпepcoнaльнoй пcиxoтepaпии для лeчeния нeвpoтичecкиx paccтpoйcтв и oцeнкa ee эффeктивнocти: Meтoдичecкиe peкoмeндaции. HИПHИ им. B.M. Бexтepeвa. Caнкт-Пeтepбypг; 2007. [Ababkov VA, Isurina HL, Karvasarsky DB, Kolotilshchikova EA, Chekhlatyi EI. Development of techniques of interpersonal psychotherapy for the treatment of neurotic disorders and the evaluation of its effectiveness: Guidelines. Psychoneurological research Institute. V. M. Bekhterev. St. Petersburg; 2007.]Google Scholar
  8. 8.
    Langebeek N, Gisolf EH, Reiss P, et al. Predictors and correlates of adherence to combination antiretroviral therapy (cART) for chronic HIV infection: a meta-analysis. BMC Med. 2014;12(1):142.CrossRefPubMedPubMedCentralGoogle Scholar
  9. 9.
    Malta M, Magnanini MMF, Strathdee SA, Bastos FI. Adherence to antiretroviral therapy among HIV-infected drug users: a meta-analysis. AIDS Behav. 2010;14:731–47.CrossRefPubMedGoogle Scholar
  10. 10.
    Novitsky V, Essex M. Using HIV viral load to guide treatment-for-prevention interventions. Curr Opin HIV AIDS. 2012;7(2):117–24.CrossRefPubMedGoogle Scholar
  11. 11.
    Berg KM, Demas PA, Howard AA, Schoenbaum EE, Gourevitch MN, Arnsten JH. Gender differences in factors associated with adherence to antiretroviral therapy. J Gen Intern Med. 2004;19:1111–7.CrossRefPubMedPubMedCentralGoogle Scholar
  12. 12.
    Godin G, Côté J, Naccache H, Lambert LD, Trottier S. Prediction of adherence to antiretroviral therapy: a one-year longitudinal study. AIDS Care. 2005;17:493–504.CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • A. Ustinov
    • 1
    • 3
  • A. Suvorova
    • 2
  • A. Belyakov
    • 3
  • A. Makhamatova
    • 4
  • O. Levina
    • 5
  • E. Krupitsky
    • 1
    • 6
  • D. Lioznov
    • 6
    • 7
  • L. Niccolai
    • 8
  • R. Heimer
    • 8
  1. 1.Bekhterev Psychoneurological Research InstituteSt. PetersburgRussia
  2. 2.St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS)St. PetersburgRussia
  3. 3.St. Petersburg Center for Control of AIDS and Infectious DiseasesSt. PetersburgRussia
  4. 4.NGO StellitSt. Petersburg State UniversitySt. PetersburgRussia
  5. 5.NGO StellitSt. PetersburgRussia
  6. 6.First Pavlov State Medical UniversitySt. PetersburgRussia
  7. 7.Northwest District Center for Control of AIDSSt. PetersburgRussia
  8. 8.Yale School of Public HealthYale UniversityNew HavenUSA

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