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Cited by 23HIV/AIDS Research and InterventionsHIV/AIDS Impact and ResponsesAdolescent Sexual and Reproductive Health

The DOI matches its Crossref record; 23 of the 24 references it cites were found in a registry or an index.

Socio-economic and demographic factors related to HIV status in urban informal settlements in the Eastern Cape, South Africa

Steenkamp, Liana, Venter, Danie, Walsh, Corinna, Dana, Pelisa·2014·African Journal of AIDS Research
DOI 10.2989/16085906.2014.952651
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Abstract

The prevalence of HIV&AIDS is embedded in social and economic inequity and the relationship between social determinants and HIV incidence is well established. The aim of this study was to determine which socio-economic and demographic factors are related to HIV status in the age group 18 to 49 years in informal settlements in the Eastern Cape, South Africa. This cross-sectional study was conducted in 3 informal settlements (n = 752) during March 2013 within the Nelson Mandela Bay and Buffalo City districts. A proportional cluster sample was selected and stratified by area and formal plot/squatter households in open areas. Respondents who volunteered to participate had to provide informed written consent before trained, bilingual peer educators interviewed them and completed the structured questionnaire. HIV status was determined and information on demographic and socio-economic variables was included in the bivariate analysis. The prevalence of HIV was higher, at 17.3%, than the 2011 estimated national prevalence among the general population in South Africa. The level of education (χ(2) = 5.50, df = 1, p < 0.05), geographical site (χ(2) = 7.41, df = 2, p < 0.05), gender (χ(2) = 33.10, df = 1, p < 0.0005), household food insecurity (χ(2) = 4.77, df = 1, p < 0.05), cooking with cast iron pots (χ(2) = 15.0, df = 3, p < 0.05) and availability of perceived 'wealth' indicators like mobile telephones and refrigerators (χ(2) = 9.67, df = 2, p < 0.05) were significantly associated with HIV-status. No significant associations could be demonstrated between household income, the number of people living in the household and the availability of electricity/water and HIV status. As the observed levels of HIV prevalence underlined gender bias and failure to graduate from high school, future interventions should focus on HIV prevention in female schoolchildren. However, HIV infection is also prevalent among wealthier individuals in informal settlements, which indicates that renewed efforts should be made to improve sexual risk behaviour within this group.

Overview

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Crossref · 10.2989/16085906.2014.952651

Cites

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Citations

Cites

Research works printed but not linked: 1

  1. Massyn N, 2013, District Health Barometer 2012/13

Cited by

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Metadata

Authors
Steenkamp, L., Venter, D., Walsh, C., & Dana, P.
Affiliations
  • Nelson Mandela University (ZA)
  • University of the Free State (ZA)
Corresponding author
Steenkamp, Liana
ORCID
Venue
African Journal of AIDS Research
Publisher
National Inquiry Services Center (NISC)
Published
2014-07-03
Volume
13
Issue
3
Pages
271-279
ISSN
  • 1608-5906 (ISSN-L)
  • 1727-9445
DOI
10.2989/16085906.2014.952651
OpenAlex
W2005674470
Cited by
22
References
24
Citations by year
2026: 2 · 2025: 2 · 2024: 5 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 1 · 2019: 2 · 2017: 3 · 2015: 1
FWCI
0.94
Type
journal article
Language
en
Open access
closed
Locations
  • African Journal of AIDS Research (publishedVersion)
  • PubMed (publishedVersion)
  • Nelson Mandela University Research Repository (submittedVersion)
Topics
  • Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › HIV/AIDS Impact and Responses
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Adolescent Sexual and Reproductive Health
Keywords
HIV prevalence, informal settlements, socioeconomic factors, demographic factors, social determinants of health, gender differences, household food insecurity, educational attainment, wealth indicators, sexual risk behavior, HIV prevention, Eastern Cape
MeSH terms
Adolescent, Adult, Cross-Sectional Studies, Demography, Female, Humans, Interviews as Topic, Male, Middle Aged, Poverty Areas, Socioeconomic Factors, South Africa, Urban Population, HIV Infections, Young Adult

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.