Marital status and HIV prevalence among women in Nigeria: Ingredients for evidence-based programming

Adeniyi Francis Fagbamigbe, Samson Babatunde Adebayo, Erhabor Idemudia

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Objective To assess the influence of marital status and other correlates on HIV infection among women in Nigeria. Methods Data were extracted from the 2012 Nigerian population-based HIV/AIDS and reproductive health survey. The survey determined the HIV status of consenting women using standard procedures. Data were weighted and analyzed using descriptive statistics and logistic regression at the 5% significance level. Results HIV prevalence among currently married and never married women was 3.4%, but was 5.9% among formerly married women. The odds of HIV infection were found to be 1.8 times higher among formerly married women compared with currently married women (odds ratio (OR) 1.8, 95% confidence interval (CI) 1.3–2.5) and never married women (OR 1.8, 95% CI 1.2–2.6). Also, the odds of HIV infection were 1.5 times higher among women who had made their sexual debut before the age of 15 years (adjusted OR 1.5, 95% CI 1.1–2.1) compared with women who delayed it. The odds of HIV infection were 1.4 times higher among women who had recently had transactional sex (adjusted OR 1.4, 95% CI 1.1–2.0) compared with others. Conclusion Being formerly married, under 15 years of age at first sex, and having engaged in transactional sex were found to be the strongest HIV risk factors among women. Besides empowering formerly married women and providing better social security, these women should be targeted in HIV programming and policies.

Original languageEnglish
Pages (from-to)57-63
Number of pages7
JournalInternational Journal of Infectious Diseases
Volume48
DOIs
Publication statusPublished - Jan 1 2016

All Science Journal Classification (ASJC) codes

  • Microbiology (medical)
  • Infectious Diseases

Fingerprint Dive into the research topics of 'Marital status and HIV prevalence among women in Nigeria: Ingredients for evidence-based programming'. Together they form a unique fingerprint.

  • Cite this