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HIV prevalence, related risk behaviors, and correlates of HIV infection among people who use drugs in Cambodia

BACKGROUND: Although HIV prevalence in Cambodia has declined to 0.6% among the general population, the prevalence remains high among female sex workers (14.0%) and men who have sex with men (2.3%). Over the past 10 years, the number of people who use drugs (PWUDs) has increased considerably. PWUDs,...

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Autores principales: Sopheab, Heng, Chhea, Chhorvann, Tuot, Sovannary, Muir, Jonathan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6234604/
https://www.ncbi.nlm.nih.gov/pubmed/30424727
http://dx.doi.org/10.1186/s12879-018-3472-3
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author Sopheab, Heng
Chhea, Chhorvann
Tuot, Sovannary
Muir, Jonathan A.
author_facet Sopheab, Heng
Chhea, Chhorvann
Tuot, Sovannary
Muir, Jonathan A.
author_sort Sopheab, Heng
collection PubMed
description BACKGROUND: Although HIV prevalence in Cambodia has declined to 0.6% among the general population, the prevalence remains high among female sex workers (14.0%) and men who have sex with men (2.3%). Over the past 10 years, the number of people who use drugs (PWUDs) has increased considerably. PWUDs, especially people who inject drugs (PWIDs), who have multiple sex partners or unprotected sex contribute to a higher HIV prevalence. This paper aims to estimate the prevalence of HIV across PWUD groups and to identify factors associated with HIV infection. METHODS: Respondent-driven sampling (RDS) was used to recruit 1626 consenting PWUDs in 9 provinces in 2012. Questionnaires and blood specimens were collected. HIV prevalence estimates were calculated using RDSAT 7.1. Individual weightings for HIV were generated with RDSAT and used for a weighted analysis in STATA 13. Multivariate logistic regression was used to identify the independent factors associated with HIV prevalence. RESULTS: Most of the PWUDs were men (82.0%), and 7.3% were PWIDs. Non-PWIDs, especially users of amphetamine-type stimulants (ATS), represented the larger proportion of the participants (81.5%). The median age for of the PWUDs was 24.0 years (IQR: 20–29). The HIV prevalence among the PWUDs was 5.1% (95% CI: 4.1–6.2), 24.8%, among PWIDs and 4.0% among non-PWIDs. The HIV prevalence among female PWIDs was 37.5, and 22.5% among male PWIDs. Four factors were independently associated with HIV infection: female sex, with AOR = 7.8 (95% CI: 3.00–20.35); age groups 21–29 and older (AOR = 10.3, 95% CI: 1.2–20.4); and using drugs for ≥12 months (AOR = 4.0, 95% CI: 1.38–11.35). Finally, injecting drugs remained a strong predictor of HIV infection, with an AOR = 4.1 (95% CI: 1.53–10.96). CONCLUSION: HIV prevalence remains high among PWIDs. Harm reduction efforts, such as needle and syringe provision programs, must improve their coverage. Innovative strategies are needed to reach sub-groups of PWUDs, especially women who inject drugs. Furthermore, the large proportion of non-PWIDs, especially ATS users, should not be ignored. Therefore, combined HIV prevention and harm reduction programs should integrate ATS users.
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spelling pubmed-62346042018-11-23 HIV prevalence, related risk behaviors, and correlates of HIV infection among people who use drugs in Cambodia Sopheab, Heng Chhea, Chhorvann Tuot, Sovannary Muir, Jonathan A. BMC Infect Dis Research Article BACKGROUND: Although HIV prevalence in Cambodia has declined to 0.6% among the general population, the prevalence remains high among female sex workers (14.0%) and men who have sex with men (2.3%). Over the past 10 years, the number of people who use drugs (PWUDs) has increased considerably. PWUDs, especially people who inject drugs (PWIDs), who have multiple sex partners or unprotected sex contribute to a higher HIV prevalence. This paper aims to estimate the prevalence of HIV across PWUD groups and to identify factors associated with HIV infection. METHODS: Respondent-driven sampling (RDS) was used to recruit 1626 consenting PWUDs in 9 provinces in 2012. Questionnaires and blood specimens were collected. HIV prevalence estimates were calculated using RDSAT 7.1. Individual weightings for HIV were generated with RDSAT and used for a weighted analysis in STATA 13. Multivariate logistic regression was used to identify the independent factors associated with HIV prevalence. RESULTS: Most of the PWUDs were men (82.0%), and 7.3% were PWIDs. Non-PWIDs, especially users of amphetamine-type stimulants (ATS), represented the larger proportion of the participants (81.5%). The median age for of the PWUDs was 24.0 years (IQR: 20–29). The HIV prevalence among the PWUDs was 5.1% (95% CI: 4.1–6.2), 24.8%, among PWIDs and 4.0% among non-PWIDs. The HIV prevalence among female PWIDs was 37.5, and 22.5% among male PWIDs. Four factors were independently associated with HIV infection: female sex, with AOR = 7.8 (95% CI: 3.00–20.35); age groups 21–29 and older (AOR = 10.3, 95% CI: 1.2–20.4); and using drugs for ≥12 months (AOR = 4.0, 95% CI: 1.38–11.35). Finally, injecting drugs remained a strong predictor of HIV infection, with an AOR = 4.1 (95% CI: 1.53–10.96). CONCLUSION: HIV prevalence remains high among PWIDs. Harm reduction efforts, such as needle and syringe provision programs, must improve their coverage. Innovative strategies are needed to reach sub-groups of PWUDs, especially women who inject drugs. Furthermore, the large proportion of non-PWIDs, especially ATS users, should not be ignored. Therefore, combined HIV prevention and harm reduction programs should integrate ATS users. BioMed Central 2018-11-13 /pmc/articles/PMC6234604/ /pubmed/30424727 http://dx.doi.org/10.1186/s12879-018-3472-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Sopheab, Heng
Chhea, Chhorvann
Tuot, Sovannary
Muir, Jonathan A.
HIV prevalence, related risk behaviors, and correlates of HIV infection among people who use drugs in Cambodia
title HIV prevalence, related risk behaviors, and correlates of HIV infection among people who use drugs in Cambodia
title_full HIV prevalence, related risk behaviors, and correlates of HIV infection among people who use drugs in Cambodia
title_fullStr HIV prevalence, related risk behaviors, and correlates of HIV infection among people who use drugs in Cambodia
title_full_unstemmed HIV prevalence, related risk behaviors, and correlates of HIV infection among people who use drugs in Cambodia
title_short HIV prevalence, related risk behaviors, and correlates of HIV infection among people who use drugs in Cambodia
title_sort hiv prevalence, related risk behaviors, and correlates of hiv infection among people who use drugs in cambodia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6234604/
https://www.ncbi.nlm.nih.gov/pubmed/30424727
http://dx.doi.org/10.1186/s12879-018-3472-3
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