Evidence map›Paper›PMID 39955490›Full record

ArticleBMC public health2025

Social and sexual networks of newly diagnosed people living with HIV: a qualitative social network analysis.

Ella Van Landeghem, Charlotte Vanden Bulcke, Anke Rotsaert, Jessika Deblonde, Chris Verhofstede, Christiana Nöstlinger

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

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ella Van Landeghem *Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium. evanlandeghem@itg.be.
Charlotte Vanden Bulcke *Department of General Internal Medicine, Ghent University Hospital, Ghent, Belgium. charlotte.vandenbulcke@uzgent.be.
Anke RotsaertDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Jessika DeblondeSciensano, Epidemiology of Infectious Diseases, Brussels, Belgium.
Chris VerhofstedeDepartment of Diagnostic Sciences, Aids Reference Lab, University of Ghent, Ghent, Belgium.
Christiana NöstlingerDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.

Funding

Gilead Sciences BE-2021-0048
6 · The paper itself

Abstract

backgroundA better understanding of HIV transmission dynamics is needed to further reduce the number of new HIV diagnoses in Belgium. As environmental and social context play an important role in explaining HIV acquisition despite the availability of effective HIV prevention, this study investigated how social and sexual networks may have influenced HIV prevention and risk behavior among a group of people newly diagnosed with HIV, including their perceptions of how they acquired HIV and their ability to disclose their HIV status.

methodsWe used an ego-centric social network approach, generating sociograms of social and sexual networks through in-depth interviews with 20 participants newly diagnosed with HIV.

resultsMany participants reported a considerable overlap between their social and sexual networks. Friends, family members, regular sex partners and HIV physicians were placed closest to the ego on the sociogram. Self-identified gay men did not consider their casual sex partners as emotionally close enough to be included in the sociogram, despite these partners often being participants' primary source of information about sexual health. Self-identified heterosexual and bisexual men who have sex with men (MSM) had more diverse and separated networks, and often had not considered themselves at risk for HIV. They were less aware of PrEP compared to self-identified gay MSM, partly attributed to target-group specific community-based prevention efforts. Most participants disclosed HIV only to those closest to them, and the anticipated and perceived lack of social support influenced acceptance. Feelings of internalized HIV stigma and homophobia prevented HIV disclosure, especially among heterosexuals and heterosexual and bisexual MSM.

conclusionThis study revealed important differences in the networks of gay-identified MSM, heterosexuals and hetero- and bisexual identified MSM influencing sexual risk taking and prevention behavior. Future prevention initiatives should be inclusive and mainstreamed to ensure to address those who do not identify as belonging established key populations. Awareness of HIV and biomedical prevention should be raised in the general population, providing a base on which tailored prevention can be built. Involving family physicians and socially empowering people living with HIV may help to decrease anticipated and internalized HIV stigma.

Indexed as

HIV InfectionsSexual BehaviorSocial Network AnalysisSocial NetworkingSocial SupportAdultBelgiumFemaleHomosexuality, MaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchRisk-TakingSexual PartnersBehaviorHIVPreventionSocial Network Analysis

Identifiers

PMID39955490
PMCPMC11829394

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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.