Pregnancy and HIV risk behaviours: evidence from four national surveys in South Africa, 2005-2017

Acquisition of HIV among pregnant women has widespread public health implications. Despite improved maternal and child health outcomes including preventing mother-to-child HIV transmission (MTCT), it remains an area of concern. This article describes the demographics, HIV prevalence and related risk behaviours among females aged 15-54 years, who reported being pregnant at the interview. Data were extracted from four South Africa National HIV Prevalence, Incidence, Behaviour and Communication Surveys dated 2005, 2008, 2012 and 2017. The sample sizes were n=4954, n=3046, n=7022 and n=9874, respectively. The analysis showed that pregnancy declined over time from 5.3% to 3.9%. Most pregnancies occurred among Black Africans and Coloureds, single women, youth aged 15-19 years (2005-7.5%; 2008-16.2%), those with a minimum of secondary school level education (2012-7.8%; 2017-5%) and among the unemployed (2005-6.6%; 2008-5.8%). Pregnancies were higher among women with multiple sexual partners and those who did not use a condom at last sex and had no knowledge of MTCT. HIV prevalence was 35.6% in 2005 and 27.2% in 2017; representing a decline over time, but also shows relatively stable HIV prevalence among pregnant women. This suggests a need for tailored sexual and reproductive health (SRH) interventions, focused on risks involving multiple sexual partnerships and unprotected sex, and enhancing MTCT knowledge.

Authors

Publication Details

Journal
Human Science Research Council SA
Published
2026-05-22
DOI
https://doi.org/10.14749/32364804
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

Pregnancy and HIV risk behaviours: evidence from four national surveys in South Africa, 2005-2017

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

Pregnancy and HIV risk behaviours: evidence from four national surveys in South Africa, 2005-2017

Human Sciences Research Council
article en

Abstract

Acquisition of HIV among pregnant women has widespread public health implications. Despite improved maternal and child health outcomes including preventing mother-to-child HIV transmission (MTCT), it remains an area of concern. This article describes the demographics, HIV prevalence and related risk behaviours among females aged 15-54 years, who reported being pregnant at the interview. Data were extracted from four South Africa National HIV Prevalence, Incidence, Behaviour and Communication Surveys dated 2005, 2008, 2012 and 2017. The sample sizes were n=4954, n=3046, n=7022 and n=9874, respectively. The analysis showed that pregnancy declined over time from 5.3% to 3.9%. Most pregnancies occurred among Black Africans and Coloureds, single women, youth aged 15-19 years (2005-7.5%; 2008-16.2%), those with a minimum of secondary school level education (2012-7.8%; 2017-5%) and among the unemployed (2005-6.6%; 2008-5.8%). Pregnancies were higher among women with multiple sexual partners and those who did not use a condom at last sex and had no knowledge of MTCT. HIV prevalence was 35.6% in 2005 and 27.2% in 2017; representing a decline over time, but also shows relatively stable HIV prevalence among pregnant women. This suggests a need for tailored sexual and reproductive health (SRH) interventions, focused on risks involving multiple sexual partnerships and unprotected sex, and enhancing MTCT knowledge.

Human Science Research Council SA
Openalex Percentile: Top 6%
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.