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Journal of Prevention & Treatment of HIV/AIDS

Aabstract


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

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