Prevalence of self-reported HIV testing and associated factors among adolescent girls and young women in South Africa: results from a 2017 nationally representative population-based HIV survey

This article estimated the prevalence of self-reported HIV testing and identified associated factors among sexually active adolescent girls and young women (AGYW), aged 15-24 years, in South Africa. Study design: This is a secondary data analysis of a nationally representative population-based cross-sectional multi-stage cluster survey of households in South Africa conducted in 2017. Descriptive statistics were used to describe AGYW characteristics and the multivariable logistic regression model was used to determine factors associated with HIV testing. All analyses were adjusted for unequal sampling probabilities using survey weights. From the 1360 AGYW analysed (70.3% aged 20-24 years, 89.0% Black African, 95.5% unmarried, 88.7% unemployed), 1154 (estimate 85.8% (95% Confidence Interval (CI): 83.0 to 88.1)) had ever tested for HIV. In adjusted analysis, AGYW who had been pregnant in the past 24 months (adjusted Odds Ratio [aOR] 3.67, 95%CI: 1.68 to 8.02), were older (20-24 years: aOR 3.13, 95%CI: 1.86 to 5.28), or did not use condoms consistently compared to using them every time (almost every time: aOR 3.31, 95%CI: 1.07 to 10.22; sometimes: aOR 2.54, 95%CI: 1.29 to 4.98) had significantly higher odds of ever testing for HIV. This research identified an unmet need for HIV testing among AGYW and increasing awareness of HIV counselling and testing among AGYW in South Africa is recommended.

Authors

Publication Details

Journal
Human Science Research Council SA
Published
2026-05-22
DOI
https://doi.org/10.14749/32377887
Primary Topic
HIV/AIDS Research and Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevalence of self-reported HIV testing and associated factors among adolescent girls and young women in South Africa: results from a 2017 nationally representative population-based HIV survey

Human Sciences Research Council
Human Science Research Council SA
HIV/AIDS Research and Interventions
article

Prevalence of self-reported HIV testing and associated factors among adolescent girls and young women in South Africa: results from a 2017 nationally representative population-based HIV survey

Human Sciences Research Council
article en

Abstract

This article estimated the prevalence of self-reported HIV testing and identified associated factors among sexually active adolescent girls and young women (AGYW), aged 15-24 years, in South Africa. Study design: This is a secondary data analysis of a nationally representative population-based cross-sectional multi-stage cluster survey of households in South Africa conducted in 2017. Descriptive statistics were used to describe AGYW characteristics and the multivariable logistic regression model was used to determine factors associated with HIV testing. All analyses were adjusted for unequal sampling probabilities using survey weights. From the 1360 AGYW analysed (70.3% aged 20-24 years, 89.0% Black African, 95.5% unmarried, 88.7% unemployed), 1154 (estimate 85.8% (95% Confidence Interval (CI): 83.0 to 88.1)) had ever tested for HIV. In adjusted analysis, AGYW who had been pregnant in the past 24 months (adjusted Odds Ratio [aOR] 3.67, 95%CI: 1.68 to 8.02), were older (20-24 years: aOR 3.13, 95%CI: 1.86 to 5.28), or did not use condoms consistently compared to using them every time (almost every time: aOR 3.31, 95%CI: 1.07 to 10.22; sometimes: aOR 2.54, 95%CI: 1.29 to 4.98) had significantly higher odds of ever testing for HIV. This research identified an unmet need for HIV testing among AGYW and increasing awareness of HIV counselling and testing among AGYW in South Africa is recommended.

Human Science Research Council SA
Good health and well-being
Openalex Percentile: Top 7%
HIV/AIDS Research and Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.