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Evidence of injection drug use in Kisumu, Kenya: Implications for HIV prevention

Identifieur interne : 001B65 ( Pmc/Corpus ); précédent : 001B64; suivant : 001B66

Evidence of injection drug use in Kisumu, Kenya: Implications for HIV prevention

Auteurs : Jennifer L. Syvertsen ; Kawango Agot ; Spala Ohaga ; Steffanie A. Strathdee ; Carol S. Camlin ; Eunice Omanga ; Petronilla Odonde ; Grace Rota ; Kelvin Akoth ; Juan Peng ; Karla D. Wagner

Source :

RBID : PMC:4447587

Abstract

Background

Injection drug use is increasingly contributing to the HIV epidemic across sub-Saharan Africa. This paper provides the first descriptive analysis of injection drug use in western Kenya, where HIV prevalence is already highest in the nation at 15.1%.

Methods

We draw on quantitative data from a study of injection drug use in Kisumu, Kenya. We generated descriptive statistics on socio-demographics, sexual characteristics, and drug-related behaviors. Logistic regression models were adjusted for sex to identify correlates of self-reported HIV positive status.

Results

Of 151 participants, mean age was 28.8 years, 84% (n=127) were male, and overall self-reported HIV prevalence reached 19.4%. Women had greater than four times the odds of being HIV positive relative to men (Odds Ratio [OR] 4.5, CI: 1.7, 11.8, p=.003). Controlling for sex, ever experiencing STI symptoms (Adjusted Odds ratio [AOR] 4.6, 95% CI 1.7, 12.0, p=.002) and sharing needles or syringes due to lack of access (AOR 3.6, 95% CI 1.2, 10.5, p=.02) were significantly associated with HIV positive status. Lower education (AOR 2.3, 95% CI 0.9, 5.6, p=.08), trading sex for drugs (AOR 2.8, 95% CI 0.9, 8.8, p=.08), being injected by a peddler (AOR 2.9, 95% CI 1.0, 8.5, p=.05), and injecting heroin (AOR 2.3, 95% CI 1.0, 5.7, p=.06), were marginally associated with HIV.

Conclusions

This exploratory study identified patterns of unsafe drug injection and concurrent sexual risk in western Kenya, yet few resources are currently available to address addiction or injection-related harm. Expanded research, surveillance, and gender sensitive programming are needed.


Url:
DOI: 10.1016/j.drugalcdep.2015.02.037
PubMed: 25861945
PubMed Central: 4447587

Links to Exploration step

PMC:4447587

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<name sortKey="Peng, Juan" sort="Peng, Juan" uniqKey="Peng J" first="Juan" last="Peng">Juan Peng</name>
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<title>Background</title>
<p id="P1">Injection drug use is increasingly contributing to the HIV epidemic across sub-Saharan Africa. This paper provides the first descriptive analysis of injection drug use in western Kenya, where HIV prevalence is already highest in the nation at 15.1%.</p>
</sec>
<sec id="S2">
<title>Methods</title>
<p id="P2">We draw on quantitative data from a study of injection drug use in Kisumu, Kenya. We generated descriptive statistics on socio-demographics, sexual characteristics, and drug-related behaviors. Logistic regression models were adjusted for sex to identify correlates of self-reported HIV positive status.</p>
</sec>
<sec id="S3">
<title>Results</title>
<p id="P3">Of 151 participants, mean age was 28.8 years, 84% (n=127) were male, and overall self-reported HIV prevalence reached 19.4%. Women had greater than four times the odds of being HIV positive relative to men (Odds Ratio [OR] 4.5, CI: 1.7, 11.8, p=.003). Controlling for sex, ever experiencing STI symptoms (Adjusted Odds ratio [AOR] 4.6, 95% CI 1.7, 12.0, p=.002) and sharing needles or syringes due to lack of access (AOR 3.6, 95% CI 1.2, 10.5, p=.02) were significantly associated with HIV positive status. Lower education (AOR 2.3, 95% CI 0.9, 5.6, p=.08), trading sex for drugs (AOR 2.8, 95% CI 0.9, 8.8, p=.08), being injected by a peddler (AOR 2.9, 95% CI 1.0, 8.5, p=.05), and injecting heroin (AOR 2.3, 95% CI 1.0, 5.7, p=.06), were marginally associated with HIV.</p>
</sec>
<sec id="S4">
<title>Conclusions</title>
<p id="P4">This exploratory study identified patterns of unsafe drug injection and concurrent sexual risk in western Kenya, yet few resources are currently available to address addiction or injection-related harm. Expanded research, surveillance, and gender sensitive programming are needed.</p>
</sec>
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</front>
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<name>
<surname>Syvertsen</surname>
<given-names>Jennifer L.</given-names>
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<email>Syvertsen.1@osu.edu</email>
<xref ref-type="aff" rid="A1">a</xref>
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<name>
<surname>Agot</surname>
<given-names>Kawango</given-names>
</name>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ohaga</surname>
<given-names>Spala</given-names>
</name>
<xref ref-type="aff" rid="A2">b</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Strathdee</surname>
<given-names>Steffanie A.</given-names>
</name>
<xref ref-type="aff" rid="A3">c</xref>
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<name>
<surname>Camlin</surname>
<given-names>Carol S.</given-names>
</name>
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<name>
<surname>Omanga</surname>
<given-names>Eunice</given-names>
</name>
<xref ref-type="aff" rid="A2">b</xref>
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<name>
<surname>Odonde</surname>
<given-names>Petronilla</given-names>
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<contrib contrib-type="author">
<name>
<surname>Rota</surname>
<given-names>Grace</given-names>
</name>
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<contrib contrib-type="author">
<name>
<surname>Akoth</surname>
<given-names>Kelvin</given-names>
</name>
<xref ref-type="aff" rid="A5">e</xref>
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<contrib contrib-type="author">
<name>
<surname>Peng</surname>
<given-names>Juan</given-names>
</name>
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<contrib contrib-type="author">
<name>
<surname>Wagner</surname>
<given-names>Karla D.</given-names>
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</contrib>
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<aff id="A1">
<label>a</label>
Department of Anthropology, The Ohio State University, 4046 Smith Laboratory, 174 W. 18th Ave. Columbus, OH 43210-1106 USA, phone: +1 614-247-6815, fax: +1 614-292-4155</aff>
<aff id="A2">
<label>b</label>
Impact Research and Development Organization, P.O. Box 9171-40141, Kisumu, Kenya</aff>
<aff id="A3">
<label>c</label>
Division of Global Public Health, University of California, San Diego, Central Research Services Facility (CRSF), La Jolla, CA, 92093-0507, USA</aff>
<aff id="A4">
<label>d</label>
Department of Obstetrics, Gynecology & Reproductive Sciences and Center for AIDS Prevention Studies, University of California at San Francisco, 550 16th St., 3rd Floor [UCSF Mailcode 1224], San Francisco, CA 94158-2549 USA</aff>
<aff id="A5">
<label>e</label>
Kenya Medical Research Institute, P.O. Box 614-40100, Kisumu, Kenya</aff>
<aff id="A6">
<label>f</label>
Center for Biostatistics, The Ohio State University, 2012 Kenny Road, Columbus, Ohio, 43221 USA</aff>
<aff id="A7">
<label>g</label>
School of Community Health Sciences, University of Nevada, Reno, 1664 N. Virginia St. MS 0274, Reno, NV 89557 USA</aff>
<pub-date pub-type="nihms-submitted">
<day>22</day>
<month>4</month>
<year>2015</year>
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<day>14</day>
<month>3</month>
<year>2015</year>
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<month>6</month>
<year>2016</year>
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<volume>151</volume>
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<lpage>266</lpage>
<pmc-comment>elocation-id from pubmed: 10.1016/j.drugalcdep.2015.02.037</pmc-comment>
<permissions>
<copyright-statement>© 2015 Published by Elsevier Ltd.</copyright-statement>
<copyright-year>2015</copyright-year>
</permissions>
<abstract>
<sec id="S1">
<title>Background</title>
<p id="P1">Injection drug use is increasingly contributing to the HIV epidemic across sub-Saharan Africa. This paper provides the first descriptive analysis of injection drug use in western Kenya, where HIV prevalence is already highest in the nation at 15.1%.</p>
</sec>
<sec id="S2">
<title>Methods</title>
<p id="P2">We draw on quantitative data from a study of injection drug use in Kisumu, Kenya. We generated descriptive statistics on socio-demographics, sexual characteristics, and drug-related behaviors. Logistic regression models were adjusted for sex to identify correlates of self-reported HIV positive status.</p>
</sec>
<sec id="S3">
<title>Results</title>
<p id="P3">Of 151 participants, mean age was 28.8 years, 84% (n=127) were male, and overall self-reported HIV prevalence reached 19.4%. Women had greater than four times the odds of being HIV positive relative to men (Odds Ratio [OR] 4.5, CI: 1.7, 11.8, p=.003). Controlling for sex, ever experiencing STI symptoms (Adjusted Odds ratio [AOR] 4.6, 95% CI 1.7, 12.0, p=.002) and sharing needles or syringes due to lack of access (AOR 3.6, 95% CI 1.2, 10.5, p=.02) were significantly associated with HIV positive status. Lower education (AOR 2.3, 95% CI 0.9, 5.6, p=.08), trading sex for drugs (AOR 2.8, 95% CI 0.9, 8.8, p=.08), being injected by a peddler (AOR 2.9, 95% CI 1.0, 8.5, p=.05), and injecting heroin (AOR 2.3, 95% CI 1.0, 5.7, p=.06), were marginally associated with HIV.</p>
</sec>
<sec id="S4">
<title>Conclusions</title>
<p id="P4">This exploratory study identified patterns of unsafe drug injection and concurrent sexual risk in western Kenya, yet few resources are currently available to address addiction or injection-related harm. Expanded research, surveillance, and gender sensitive programming are needed.</p>
</sec>
</abstract>
<kwd-group>
<kwd>heroin</kwd>
<kwd>sub-Saharan Africa</kwd>
<kwd>gender</kwd>
<kwd>sexual risk</kwd>
<kwd>harm reduction</kwd>
<kwd>HIV interventions</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

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