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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Detalles Bibliográficos
Publicado en:AIDS & Behavior Vol. 26; no. 11; pp. 3667 - 3679
Autores principales: Lightner, Joseph S., Cabral, Howard J., Flaherty, Jessica, Silmi, Kazi Priyanka, Guidry, John, Kresiberg, Alexa, Brooks, Ronald A., Byrne, Thomas Hugh, Rajabiun, Serena
Formato: research tables/charts Journal Article
Publicado: Springer Nature Nov2022
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario: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.