The role of context: neighbourhood characteristics strongly influence HIV risk in young women in Ndola, Zambia

Trop Med Int Health. 2008 Feb;13(2):162-70. doi: 10.1111/j.1365-3156.2007.01986.x.

Abstract

Objectives: To examine the effect of neighbourhood socioeconomic factors on human immunodeficiency virus (HIV) prevalence in young women (aged 15-24 years) in Zambia.

Methods: Re-analysis of a cross-sectional, population-based sero-survey of nearly 2000 adults conducted in 1997/1998 in Ndola, Zambia. Neighbourhood-level socioeconomic status (SES) was defined using the availability of running water and electricity in addition to educational, employment and occupational characteristics of adults older than 24 years. Neighbourhood-level and individual-level risk factors were analysed with a multivariate multilevel logistic regression model using a hierarchical conceptual framework.

Results: Young women living in neighbourhoods of lower or middle SES had higher HIV prevalences than those from higher SES neighbourhoods [lower SES: adjusted odds ratio (OR) 2.4, 95% confidence interval (CI) 1.3-4.5, middle SES: adjusted OR 2.4, 95% CI 1.3-4.7]. Young women living near a market were at increased risk of HIV infection (OR 2.9, 95% CI 1.4-5.9), while proximity to a health centre seemed protective (OR 0.4, 95% CI 0.2-1.0). When controlling for neighbourhood factors, better education was a risk factor for HIV infection (OR 1.5, 95% CI 1.0-2.1), although it was not significant in individual-level analysis.

Conclusions: Community-level factors are as important as individual-level factors in determining HIV infection in young women. Confining analyses to individual-level factors ignores the underlying causes and the modifying effect of context on individual behaviour and may even lead to different conclusions concerning the role of individual-level factors.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Female
  • HIV Infections / epidemiology*
  • Humans
  • Prevalence
  • Residence Characteristics*
  • Risk Factors
  • Socioeconomic Factors
  • Women's Health*
  • Zambia / epidemiology