Evidence map›Paper›PMID 36542645›Full record

ArticlePloS one2022

HIV incidence and associated risk factors in adolescent girls and young women in South Africa: A population-based cohort study.

Lara Lewis, Ayesha B M Kharsany, Hilton Humphries, Brendan Maughan-Brown, Sean Beckett, Kaymarlin Govender, Cherie Cawood, David Khanyile, Gavin George

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
11.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 42 citations in OpenAlex.

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  12. Experiences of adolescent girls and young women of oral PrEP uptake in rural KwaZulu-Natal.African journal of primary health care & family medicine · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Lara LewisCentre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa.ORCID 0000-0001-5373-2086
Ayesha B M KharsanyCentre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa.
Hilton HumphriesCentre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa.
Brendan Maughan-BrownSouthern Africa Labour and Development Research Unit, University of Cape Town, Cape Town, South Africa.
Sean BeckettHIV Economics and AIDS Research Division, University of KwaZulu-Natal, Durban, South Africa.
Kaymarlin GovenderHIV Economics and AIDS Research Division, University of KwaZulu-Natal, Durban, South Africa.
Cherie CawoodEpicentre AIDs Risk Management, Cape Town, South Africa.
David KhanyileEpicentre AIDs Risk Management, Cape Town, South Africa.
Gavin GeorgeHIV Economics and AIDS Research Division, University of KwaZulu-Natal, Durban, South Africa.
Centre for the AIDS Programme of Research in South Africa · ZAEpicentre (South Africa) · ZALund University · SEUniversity of Cape Town · ZA

Funding

Identifying sources of HIV infection in adolescent girls in rural South AfricaR01HD083343 · NICHD · CENTRE/AIDS PROGRAMME/RES/SOUTH AFRICA · PI KHARSANY, AYESHA BM, KOHLER, HANS-PETER · 2015 to 2019
$1.7M
NICHD NIH HHS R01 HD083343
6 · The paper itself

Abstract

backgroundIn sub-Saharan Africa, high HIV incidence rates in adolescent girls and young women (AGYW) persist despite extensive HIV prevention efforts.

methodsA prospective cohort of 2,710 HIV-negative AGYW (15-24 years) in KwaZulu-Natal, South Africa were interviewed at baseline and followed-up approximately 18 months later (2014-2017). Associations between HIV seroconversion and socio-demographic and behavioural variables measured at baseline and follow-up were examined using Cox regression and a proximate determinants framework. Inter-relationships between determinants were measured using logistic regression. Separate models were built for 15-19 and 20-24-year-olds.

resultsWeighted HIV incidence was 3.92 per 100 person-years (95% confidence interval: 3.27-4.69; 163 seroconversions over 4,016 person-years). Among 15-19-year-olds, absence of family support (adjusted hazards ratio (aHR): 3.82 (1.89-7.72)), having a circumcised partner (aHR: 0.5 (0.27-0.94)) or one who was HIV-positive and not on antiretroviral therapy (ART) (aHR: 6.21 (2.56-15.06)) were associated with HIV incidence. Those reporting an absence of family support were also more likely to report >1 partner during follow-up (odds ratio (OR): 2.7(1.11-6.57)). Among 20-24-year-olds, failure to complete secondary school (aHR: 1.89 (1.11-3.21)), inconsistent condom use (aHR: 3.01 (1.14-7.96)) and reporting partner(s) who were HIV-positive and not on ART (aHR: 7.75 (3.06-19.66)) were associated with HIV incidence. Failure to complete secondary school among 20-24-year-olds was associated with inconsistent condom use (OR: 1.82 (1.20-2.77)) and reporting an HIV-positive partner not on ART (OR: 3.53(1.59-7.82)) or an uncircumcised partner (OR: 1.39 (1.08-1.82).

conclusionAbsence of family support and incomplete schooling are associated with risky sexual behaviours and HIV acquisition in AGYW. In addition, partner-level prevention-condom use, medical circumcision, and viral suppression-continue to play an important role in reducing HIV risk in AGYW. These findings support the use of combination HIV prevention programs that consider structural as well as biological and behavioural HIV risk factors in their design.

Indexed as

HIV InfectionsSexual PartnersAdolescentCohort StudiesFemaleHumansIncidenceProspective StudiesRisk FactorsSexual BehaviorSouth Africa

Identifiers

PMID36542645
PMCPMC9770356
OpenAlexW4312060059

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.