Evidence map›Paper›PMID 40470266›Full record

ArticleFrontiers in reproductive health2025

HIV disclosure in the social networks of adolescents with HIV in Cape Town, South Africa.

Marta I Mulawa, Frances Hung, Nicole J Phillips, Mark F Austin, Richard Barfield, Hui-Jie Lee, Heather J Zar, Dan J Stein, Jacqueline Hoare

Abstract read
In one paragraph

Article in Frontiers in reproductive health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Marta I MulawaSchool of Nursing, Duke University, Durham, NC, United States.
Frances HungDepartment of Biostatistics and Bioinformatics, School of Medicine, Duke University, Durham, NC, United States.
Nicole J PhillipsDepartment of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.
Mark F AustinDepartment of Statistics, NC State University, Raleigh, NC, United States.
Richard BarfieldDepartment of Biostatistics and Bioinformatics, School of Medicine, Duke University, Durham, NC, United States.
Hui-Jie LeeDepartment of Biostatistics and Bioinformatics, School of Medicine, Duke University, Durham, NC, United States.
Heather J ZarDepartment of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa.
Dan J SteinDepartment of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.
Jacqueline HoareDepartment of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.

Funding

Social and Behavioral Sciences CoreP30AI064518 · NIAID · DUKE UNIVERSITY · PI Nwora Lance Okeke · 2005 to 2026
$50.5M
Quantitative Methods for HIV/AIDS ResearchR25AI140495 · NIAID · DUKE UNIVERSITY · PI Cliburn C Chan, Gina-Maria Pomann · 2018 to 2026
$2.8M
Developing an mHealth Intervention that Leverages Social Networks to Improve ART Adherence among HIV-Infected Adolescents in South AfricaK01MH118072 · NIMH · DUKE UNIVERSITY · PI MULAWA, MARTA I · 2019 to 2023
$853k
NIAID NIH HHS P30 AI064518NIAID NIH HHS R25 AI140495NIMH NIH HHS K01 MH118072
6 · The paper itself

Abstract

Background: Little is known about HIV status disclosure within the social networks of adolescents with perinatally-acquired HIV (APHIV) in sub-Saharan Africa, where HIV prevalence is high and stigma surrounding HIV is pervasive. This study employed egocentric network analysis to characterize HIV disclosure in the social networks of APHIV in Cape Town South Africa. Associations between HIV disclosure and characteristics of APHIV (egos), their relationship to network members (alters), and features of the social network, including ego's network size and alter's centrality within the network, were also examined. Methods: Network data were collected from 58 APHIV (mean age 14.3 years; 52% female) using a customized touchscreen-based assessment, providing data on 349 ego-alter relationships. Associations with HIV disclosure within the ego-alter pairs were evaluated by adjusted odds ratios (AOR) from multivariable logistic regression with generalized estimating equations, clustering by ego. Results: Among all ego-alter pairs identified, 36.4% (127/349) were disclosed to by egos. Odds of disclosure did not differ based on the ego's gender or viral suppression. Odds of disclosure were significantly higher when alters were presumed by the ego to have HIV [AOR 6.26; 95% confidence interval (CI): 2.36-16.58, Conclusions: HIV status disclosure was low in the social networks of APHIV. Our study found that disclosure was not influenced by network size, gender, or viral suppression but rather by factors related to interpersonal trust and shared experience, such as perceived HIV status of alters, network-level centrality and emotional support network size. The study further highlights the benefits and future potential of using social network data collection and analysis methods to better understand HIV disclosure among adolescents.

Indexed as

adolescentsdisclosureHIVnetwork analysisSouth Africayouth

Identifiers

PMID40470266
PMCPMC12133812

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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.