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

AIDS Behav. 2022 Nov;26(11):3667-3678. doi: 10.1007/s10461-022-03695-5. Epub 2022 Jun 10.

Abstract

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.

Keywords: HIV; HIV Stigma; Latent growth curve; Social Networks.

MeSH terms

  • Cross-Sectional Studies
  • HIV Infections* / epidemiology
  • Humans
  • Social Networking
  • Social Stigma
  • Surveys and Questionnaires