Does HIV Stigma Predict Social Networks Over Time: A Latent Growth Curve Analysis

Persons living with HIV (PLWH) with socio-economic vulnerabilities are especially vulnerable to HIV stigma and adverse HIV outcomes. Stigma related to HIV may intersect with marginalized socio-economic conditions to negatively affect social networks. HIV stigma may limit the ability of individuals t...

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Bibliographic Details
Published in:AIDS and behavior 2022-11, Vol.26 (11), p.3667-3678
Main Authors: Lightner, Joseph S., Cabral, Howard J., Flaherty, Jessica, Silmi, Kazi Priyanka, Guidry, John, Kresiberg, Alexa, Brooks, Ronald A., Byrne, Thomas Hugh, Rajabiun, Serena
Format: Article
Language:English
Subjects:
Economic analysis
Economic conditions
Employment
Growth curves
Health Psychology
Health services
HIV
Housing
Human immunodeficiency virus
Infectious Diseases
Labor force participation
Marginality
Medicine
Medicine & Public Health
Original Paper
Public Health
Social interactions
Social networks
Social organization
Socioeconomic factors
Socioeconomics
Stigma
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Summary:Persons living with HIV (PLWH) with socio-economic vulnerabilities are especially vulnerable to HIV stigma and adverse HIV outcomes. Stigma related to HIV may intersect with marginalized socio-economic conditions to negatively affect social networks. HIV stigma may limit the ability of individuals to sustain social relationships. This study examined the potential cross-sectional and longitudinal associations between HIV stigma and the quality and quantity of social networks for PLWH. PLWH (n = 1,082) who were experiencing housing, employment, and medical care-related difficulties were recruited to participate in a one-year navigation and system coordination intervention to improve housing stability and employment. Neither stigma reduction nor social networks were the main components of the intervention. A series of latent growth curves were estimated to assess the cross-sectional and longitudinal relationships among internalized and anticipated HIV stigma and social networks. Anticipated HIV stigma predicted social networks both cross-sectionally and longitudinally. Internalized HIV stigma predicted social networks cross-sectionally but not longitudinally in this population. These data support the HIV Stigma Framework and suggest that anticipated stigma seems to have a strong association with social networks. As anticipated stigma decreases over time, social network scores increase. Interventions to decrease anticipated HIV stigma as a mechanism of improving social networks warrants further investigation.
ISSN:1090-7165
1573-3254
DOI:10.1007/s10461-022-03695-5