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Association between sociodemographic characteristics and HIV disclosure among people living with HIV in South Carolina

A structural equation modeling approach

Bibliographic Data

ID19442994
AuthorsMonique J Brown (0000-0001-9552-244X, University of South Carolina, corresponding author), J Stewart Trask (Department of Biological Sciences, College of Arts and Sciences, University of South Carolina, Columbia, SC, USA), Amandeep Kaur (0000-0001-8162-3725, University of South Carolina), Xiaoming Li (0000-0002-5555-9034, University of South Carolina)
Year2023
Volume35
Issue12
Pages1904-1910
Publication date2023-12-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAIDS Care (JOURNAL)
Journal identifiersISSN: 0954-0121 • E-ISSN: 1360-0451
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09540121.2022.2163612
PMID36630703
OpenAlexW4315630713
LanguageEN
References cited21

HIV disclosure continues to be a key consideration among people living with HIV (PLWH). However, there is a lack of studies assessing factors associated with HIV disclosure among PLWH in the Southern U.S. Therefore, the aim of this study was to assess the association between sociodemographic risk factors and HIV disclosure using a structural equation modeling approach among PLWH in South Carolina. Exploratory factor analysis was used to operationalize HIV disclosure. Structural equation models were used to determine the associations between sociodemographic factors and HIV disclosure among PLWH. Two latent variables were obtained for HIV disclosure: partners (stable partners, spouses, casual partners), and family/friends (parents, grandparents, siblings, children, adult children, friends, and coworkers). After adjusting for confounders, Black populations were less likely to disclose their HIV status to both partners (β = −0.250, p = 0.006) and family/friends (β = −0.246, p < 0.001) compared to non-Black populations. As yearly income increased, the likelihood of HIV disclosure to family/friends decreased (β = −0.300, p = <0.001). As time since diagnosis increased, the likelihood of HIV disclosure to family/friends increased (β = 0.266, p = 0.001). Future research can assess the feasibility of implementing disclosure interventions that are geared towards Black, high income and newly diagnosed PLWH and the associations of psychosocial factors and HIV disclosure

Casual · Confounding · Developmental psychology · Family medicine · Generalized estimating equation · Grandparent · Psychiatry · Psychological intervention · Psychosocial · Structural equation modeling · Adolescent Sexual and Reproductive Health · Clinical Psychology · Demography · HIV, Drug Use, Sexual Risk · HIV/AIDS Research and Interventions · Medicine · Psychology

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  • Cutoff criteria for fit indexes in covariance structure analysis

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  • Gender differences in disclosure concerns and HIV-related quality of life

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Citation velocityhistorical
Highly citedNo

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