Demographic factors associated with HIV infection between low and high prevalence areas in Nigeria, 2015

Pan Afr Med J. 2019 Jan 25;32(Suppl 1):11. doi: 10.11604/pamj.supp.2019.32.1.13330. eCollection 2019.

Abstract

Introduction: Sub-Saharan Africa accounts for 66% of 36.7 million individuals living with HIV in 2015 with Nigeria having the second highest prevalence in Africa. The study aimed to find the prevalence and socio-demographic factors associated with HIV infection and compare these findings between high and low prevalence areas.

Methods: We conducted a cross-sectional study among adults aged 15 to 49 years from March to April 2015. We administered a questionnaire to collect linked anonymous data on socio-demographic and socio-cultural characteristics and screened all respondents for HIV infection. We defined a high HIV prevalence area as area with prevalence consistently above 5% and an area with prevalence consistently below 2% as low prevalence area. We performed univariate, bivariate and logistic regration analysis to assess factors associated with HIV infection.

Results: We screened and interviewed all 480 respondents. Majority 344 (71.7%) were females, mean age was 30.1 years (±7.4 years), high proportion were employed 246 (51.2%). In high HIV prevalence area, aged <30 years (Adjusted Odd Ratio (AOR) = 4.2, 95% Confidence Interval (CI) = 1.1-20.4) and being employed (AOR= 3.7, 95% CI=1.0-58.8) increased the likelihood of HIV infection. In low HIV prevalence area, lack of education (AOR=7.1, 95% CI= 0.9-32) was the only predictor of HIV infection.

Conclusion: Interplay of socio-demographic factors was responsible for differences in HIV prevalence. To further decrease prevalence in low prevalence areas (below 1%), government should make universal basic education mandatory and in high prevalence areas, interventions should target the young and the employed.

Keywords: HIV; HIV infection; Nigeria; comparative study; cross-sectional study; demography.

MeSH terms

  • Adolescent
  • Adult
  • Age Distribution
  • Cross-Sectional Studies
  • Educational Status
  • Female
  • HIV Infections / epidemiology*
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Nigeria / epidemiology
  • Prevalence
  • Risk Factors
  • Sex Distribution
  • Surveys and Questionnaires
  • Young Adult