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Position-Specific HIV Risk in a Large Network of Homeless Youths.

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Title: Position-Specific HIV Risk in a Large Network of Homeless Youths.
Authors: Rice, Eric (AUTHOR), Barman-Adhikari, Anamika (AUTHOR), Milburn, Norweeta G. (AUTHOR), Monro, William (AUTHOR)
Source: American Journal of Public Health. Jan2012, Vol. 102 Issue 1, p141-147. 7p.
Subjects: HIV infection risk factors, Social networks, Cluster analysis (Statistics), Confidence intervals, Statistical correlation, Epidemiology, Homeless persons, Housing, Mathematical models, Research funding, Risk-taking behavior, Sex distribution, Statistics, Time, Data analysis, Multiple regression analysis, Community-based social services, Unsafe sex, Predictive validity, Content mining, Data analysis software, Descriptive statistics
Geographic Terms: California
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Position-Specific HIV Risk in a Large Network of Homeless Youths.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Rice%2C+Eric%22">Rice, Eric</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Barman-Adhikari%2C+Anamika%22">Barman-Adhikari, Anamika</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Milburn%2C+Norweeta+G%2E%22">Milburn, Norweeta G.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Monro%2C+William%22">Monro, William</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Public+Health%22">American Journal of Public Health</searchLink>. Jan2012, Vol. 102 Issue 1, p141-147. 7p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22HIV+infection+risk+factors%22">HIV infection risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Social+networks%22">Social networks</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+analysis+%28Statistics%29%22">Cluster analysis (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemiology%22">Epidemiology</searchLink><br /><searchLink fieldCode="DE" term="%22Homeless+persons%22">Homeless persons</searchLink><br /><searchLink fieldCode="DE" term="%22Housing%22">Housing</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Risk-taking+behavior%22">Risk-taking behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Time%22">Time</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Community-based+social+services%22">Community-based social services</searchLink><br /><searchLink fieldCode="DE" term="%22Unsafe+sex%22">Unsafe sex</searchLink><br /><searchLink fieldCode="DE" term="%22Predictive+validity%22">Predictive validity</searchLink><br /><searchLink fieldCode="DE" term="%22Content+mining%22">Content mining</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22California%22">California</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=104506638
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.2105/AJPH.2011.300295
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 141
    Subjects:
      – SubjectFull: HIV infection risk factors
        Type: general
      – SubjectFull: Social networks
        Type: general
      – SubjectFull: Cluster analysis (Statistics)
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Statistical correlation
        Type: general
      – SubjectFull: Epidemiology
        Type: general
      – SubjectFull: Homeless persons
        Type: general
      – SubjectFull: Housing
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Risk-taking behavior
        Type: general
      – SubjectFull: Sex distribution
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Time
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Multiple regression analysis
        Type: general
      – SubjectFull: Community-based social services
        Type: general
      – SubjectFull: Unsafe sex
        Type: general
      – SubjectFull: Predictive validity
        Type: general
      – SubjectFull: Content mining
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: California
        Type: general
    Titles:
      – TitleFull: Position-Specific HIV Risk in a Large Network of Homeless Youths.
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            NameFull: Rice, Eric
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            NameFull: Barman-Adhikari, Anamika
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            NameFull: Milburn, Norweeta G.
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            NameFull: Monro, William
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              Text: Jan2012
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              Y: 2012
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            – TitleFull: American Journal of Public Health
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