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...
| Publicado en: | AIDS & Behavior Vol. 26; no. 11; pp. 3667 - 3679 |
|---|---|
| Autores principales: | , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Nov2022
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159577262&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159577262 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10907165 G1T jtl: AIDS & Behavior issn: 10907165 maglogo: N pubinfo: dt: Nov2022 vid: 26 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 159577262 157351843 159577262 159577262 10.1007/s10461-022-03695-5 159577262 ppf: 3667 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Does HIV Stigma Predict Social Networks Over Time: A Latent Growth Curve Analysis. aug: au: Lightner, Joseph S. Cabral, Howard J. Flaherty, Jessica Silmi, Kazi Priyanka Guidry, John Kresiberg, Alexa Brooks, Ronald A. Byrne, Thomas Hugh Rajabiun, Serena affil: School of Nursing and Health Studies, University of Missouri - Kansas City, 2464 Charlotte Street, 64108, Kansas City, Missouri, United States of America sug: subj: HIV-Positive Persons Psychosocial Factors Stigma Evaluation Social Networks Evaluation Human Male Female Adult Middle Age Cross Sectional Studies Prospective Studies Descriptive Statistics Socioeconomic Factors Quality of Life Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|