Position-Specific HIV Risk in a Large Network of Homeless Youths.
Objectives. We examined interconnections among runaway and homeless youths (RHYs) and how aggregated network structure position was associated with HIV risk in this population. Methods. We collected individual and social network data from 136 RHYs.On the basis of these data, we generated a sociomatr...
| Publicado en: | American Journal of Public Health Vol. 102; no. 1; pp. 141 - 148 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
American Public Health Association
Jan2012
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=104506638&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 104506638 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Jan2012 vid: 102 iid: 1 pid: 44 pub: American Public Health Association artinfo: ui: 104506638 10.2105/AJPH.2011.300295 ppf: 141 ppct: 7 formats: tig: atl: Position-Specific HIV Risk in a Large Network of Homeless Youths. aug: au: Rice, Eric Barman-Adhikari, Anamika Milburn, Norweeta G. Monro, William su: California Social networks Epidemiology Homeless persons Housing Risk-taking behavior Sex distribution Community-based social services HIV infection risk factors Cluster analysis (Statistics) Confidence intervals Statistical correlation Mathematical models Research funding Statistics Time Data analysis Multiple regression analysis Unsafe sex Predictive validity Content mining Data analysis software Descriptive statistics sug: subj: Social networks Epidemiology Homeless persons Housing Risk-taking behavior Sex distribution Community-based social services California Other Community Housing Services Other Individual and Family Services HIV infection risk factors Cluster analysis (Statistics) Confidence intervals Statistical correlation Mathematical models Research funding Statistics Time Data analysis Multiple regression analysis Unsafe sex Predictive validity Content mining Data analysis software Descriptive statistics ab: Objectives. We examined interconnections among runaway and homeless youths (RHYs) and how aggregated network structure position was associated with HIV risk in this population. Methods. We collected individual and social network data from 136 RHYs.On the basis of these data, we generated a sociomatrix, accomplished network visualization with a "spring embedder," and examined k-cores. We used multivariate logistic regression models to assess associations between peripheral and nonperipheral network position and recent unprotected sexual intercourse. Results. Small numbers of nominations at the individual level aggregated into a large social network with a visible core, periphery, and small clusters. Female youths were more likely to be in the core, as were youths who had been homeless for 2 years or more. Youths at the periphery were less likely to report unprotected intercourse and had been homeless for a shorter duration. Conclusions. HIV risk was a function of risk-taking youths' connections with one another and was associated with position in the overall network structure. Social network-based prevention programs, young women's housing and health programs, and housing-first programs for peripheral youths could be effective strategies for preventing HIV among this population. pubtype: Academic Journal doctype: Journal Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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