Research Article
Prevalence of Human Immunodeficiency Virus and Its
Sociodemographic, Knowledge and Behavioral Predictors among Women: A Cross‐Sectional Population‐Based Survey in Ivory Coast
Djibril M. Ba, Anna E. Ssentongo,
Traore Metahan and Paddy Ssentongo
Correspondence Address :
Paddy Ssentongo
Assistant Professor of Research Center for Neural
Engineering
Dept. Engineering Science and
Mechanics the Pennsylvania State University
W321 Millennium Science Complex University
Park
PA 16802, USA
Tel: 814-777-2741
Email:
pssentongo@pennstatehealth.psu.edu
Received on: September 27, 2018, Accepted on: October 03, 2018, Published on: October 10, 2018
Citation: Djibril M. Ba, Anna E. Ssentongo, Metahan Traore, Paddy Ssentongo (2018). Prevalence of Human Immunodeficiency Virus and Its Sociodemographic, Knowledge and Behavioral Predictors among Women: A Cross‐Sectional Population‐Based Survey in Ivory
Coast
Copyright: 2018 Paddy Ssentongo, et al . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Objective: To delineate risk factors associated with the disproportionately high prevalence of HIV/AIDS in women of Ivory Coast.
Methods: Univariate and multivariable logistic regression analyses were used to explore dependent and independent predictors of HIV seropostivity in 4655 women aged 15-49 years.
Results: Prevalence of HIV was 4.5%. Independent predictors of HIV seropostivity were: age 35-49 year (aOR=2.41, 95% CI: 1.51-3.85), being widowed or divorced or separated (aOR=3.30, 95%CI: 1.88-5.79) and having knowledge of a place for HIV testing (aOR=2.35, 95%CI: 1.50-3.68). Living in the rural area was a protective factor (aOR=0.52, 95%CI: 0.31-0.87).
Conclusion: Older age, being divorced or widowed, living in urban area and knowledge of place for HIV testing are risk factors that fuel the HIV infection rates in women. HIV/AIDS prevention programs should be tailored to target the high-risk social demographics and behavior dynamics that pose a risk of acquiring HIV.
Keywords: HIV /AIDS, Sub-Saharan Africa, HIV Prevalence, Risky Sexual-Behaviors, Prevention