OBJECTIVE: Injecting drug use is now recognized as a significant risk factor for HIV in sub-Saharan Africa. We evaluated prevalence and correlates of HIV among injecting drug users (IDUs) in Nigeria. METHODS: A cross sectional design using respondent driven sampling was conducted in six states in 2010. Weighted HIV prevalence and injecting risk behaviors calculated using RDS analytic tool. Logistic regression was used to determine correlates of HIV infection, stratified by state. RESULTS: Total numbers of IDUs ranged from 197 in Lagos to 273 in Cross River and Oyo states. HIV prevalence was highest in Federal Capital Territory (FCT) at 9.3%, Kaduna 5.8%, Oyo 5.1%, Kano 4.9%, CR 3.3% and Lagos 3.0%. Although >90% of participants were male, females had higher HIV prevalence in all states surveyed except FCT (range: 7.4% in CR to 37.7% in Kano). Logistic regression showed that females were significantly more likely to be HIV positive in Kano [OR=33.2, 95% CI: 6.8-160.4], Oyo [AOR=15.9, 95% CI: 3.69-68.51], Lagos [OR=15.5, 95% CI: 2.41-99.5] and Kaduna states [AOR=19.6, 95% CI: 4.4-87.6]. For injecting risk behavior, only receptive sharing was associated with HIV [AOR=7.6, 95% CI: 1.2-48.7] and [AOR=0.2, 95% CI: 0.04-0.92] in Oyo and Kaduna states respectively. CONCLUSIONS: Considerable heterogeneity in the prevalence of HIV and associated risk behaviors exist among IDUs across Nigeria. Females had higher HIV prevalence among IDUs in five of six states, suggesting a need for targeted interventions for this hidden subgroup. Further research is needed to understand HIV transmission dynamics of IDUs in Nigeria. Community-based opioid substitution therapy and needle exchange programs should be implemented without delay.
OBJECTIVE: Injecting drug use is now recognized as a significant risk factor for HIV in sub-Saharan Africa. We evaluated prevalence and correlates of HIV among injecting drug users (IDUs) in Nigeria. METHODS: A cross sectional design using respondent driven sampling was conducted in six states in 2010. Weighted HIV prevalence and injecting risk behaviors calculated using RDS analytic tool. Logistic regression was used to determine correlates of HIV infection, stratified by state. RESULTS: Total numbers of IDUs ranged from 197 in Lagos to 273 in Cross River and Oyo states. HIV prevalence was highest in Federal Capital Territory (FCT) at 9.3%, Kaduna 5.8%, Oyo 5.1%, Kano 4.9%, CR 3.3% and Lagos 3.0%. Although >90% of participants were male, females had higher HIV prevalence in all states surveyed except FCT (range: 7.4% in CR to 37.7% in Kano). Logistic regression showed that females were significantly more likely to be HIV positive in Kano [OR=33.2, 95% CI: 6.8-160.4], Oyo [AOR=15.9, 95% CI: 3.69-68.51], Lagos [OR=15.5, 95% CI: 2.41-99.5] and Kaduna states [AOR=19.6, 95% CI: 4.4-87.6]. For injecting risk behavior, only receptive sharing was associated with HIV [AOR=7.6, 95% CI: 1.2-48.7] and [AOR=0.2, 95% CI: 0.04-0.92] in Oyo and Kaduna states respectively. CONCLUSIONS: Considerable heterogeneity in the prevalence of HIV and associated risk behaviors exist among IDUs across Nigeria. Females had higher HIV prevalence among IDUs in five of six states, suggesting a need for targeted interventions for this hidden subgroup. Further research is needed to understand HIV transmission dynamics of IDUs in Nigeria. Community-based opioid substitution therapy and needle exchange programs should be implemented without delay.
Authors: Chris Beyrer; Stefan D Baral; Brian W Weir; James W Curran; Richard E Chaisson; Patrick S Sullivan Journal: Curr Opin HIV AIDS Date: 2014-03 Impact factor: 4.283
Authors: Waimar Tun; Meredith Sheehy; Dita Broz; Jerry Okal; Nicholas Muraguri; H Fisher Raymond; Helgar Musyoki; Andrea A Kim; Mercy Muthui; Scott Geibel Journal: AIDS Behav Date: 2015-02