Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
A profile on HIV prevalence and risk behaviors among injecting drug users in Nigeria: Should we be alarmed?
Drug and Alcohol Dependence, Volume 127, No. 1-3, Year 2013
Notification
URL copied to clipboard!
Description
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. © 2012 Elsevier Ireland Ltd.
Authors & Co-Authors
Eluwa, George Ikechi E.
Nigeria, Abuja
Population Council Nigeria
Strathdee, Steffanie Anne
United States, La Jolla
University of California, San Diego
Adebayo, Samson Babatunde
Nigeria, Abuja
National Agency for Food and Drug Administration and Control, Abuja
Ahonsi, Babatunde Aloysius
Nigeria, Abuja
Population Council Nigeria
Adebajo, Sylvia Bolanle
Nigeria, Abuja
Population Council Nigeria
Statistics
Citations: 37
Authors: 5
Affiliations: 3
Identifiers
Doi:
10.1016/j.drugalcdep.2012.06.013
ISSN:
03768716
e-ISSN:
18790046
Research Areas
Genetics And Genomics
Infectious Diseases
Study Design
Cross Sectional Study
Study Locations
Nigeria
Participants Gender
Male
Female