Jennifer L Syvertsen1, Kawango Agot2, Spala Ohaga2, Steffanie A Strathdee3, Carol S Camlin4, Eunice Omanga2, Petronilla Odonde2, Grace Rota5, Kelvin Akoth5, Juan Peng6, Karla D Wagner7. 1. Department of Anthropology, The Ohio State University, 4046 Smith Laboratory 174W. 18th Ave., Columbus, OH 43210-1106, USA. Electronic address: Syvertsen.1@osu.edu. 2. Impact Research and Development Organization, P.O. Box 9171-40141, Kisumu, Kenya. 3. Division of Global Public Health, University of California, San Diego, Central Research Services Facility (CRSF), La Jolla, CA 92093-0507, USA. 4. 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. 5. Kenya Medical Research Institute, P.O. Box 614-40100, Kisumu, Kenya. 6. Center for Biostatistics, The Ohio State University, 2012 Kenny Road, Columbus, OH 43221 USA. 7. School of Community Health Sciences, University of Nevada, Reno, 1664N. Virginia St. MS 0274, Reno, NV 89557, USA.
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.
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.
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