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Predicting Homelessness among Emerging Adults Aging Out of Foster Care
This study examines risk and protective factors associated with experiencing homelessness in the year after “aging out” of foster care. Using a state‐level integrated administrative database, we identified 1,202 emerging adults in Washington State who exited foster care between July 2010 and June 20...
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Published in: | American journal of community psychology 2017-09, Vol.60 (1-2), p.33-43 |
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creator | Shah, Melissa Ford Liu, Qinghua Mark Eddy, J. Barkan, Susan Marshall, David Mancuso, David Lucenko, Barbara Huber, Alice |
description | This study examines risk and protective factors associated with experiencing homelessness in the year after “aging out” of foster care. Using a state‐level integrated administrative database, we identified 1,202 emerging adults in Washington State who exited foster care between July 2010 and June 2012. Initial bivariate analyses were conducted to assess the association between candidate predictive factors and an indicator of homelessness in a 12‐month follow‐up period. After deploying a stepwise regression process, the final logistic regression model included 15 predictive factors. Youth who were parents, who had recently experienced housing instability, or who were African American had approximately twice the odds of experiencing homelessness in the year after exiting foster care. In addition, youth who had experienced disrupted adoptions, had multiple foster care placements (especially in congregate care settings), or had been involved with the juvenile justice system were more likely to become homeless. In contrast, youth were less likely to experience homelessness if they had ever been placed with a relative while in foster care or had a high cumulative grade point average relative to their peers. |
doi_str_mv | 10.1002/ajcp.12098 |
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Using a state‐level integrated administrative database, we identified 1,202 emerging adults in Washington State who exited foster care between July 2010 and June 2012. Initial bivariate analyses were conducted to assess the association between candidate predictive factors and an indicator of homelessness in a 12‐month follow‐up period. After deploying a stepwise regression process, the final logistic regression model included 15 predictive factors. Youth who were parents, who had recently experienced housing instability, or who were African American had approximately twice the odds of experiencing homelessness in the year after exiting foster care. In addition, youth who had experienced disrupted adoptions, had multiple foster care placements (especially in congregate care settings), or had been involved with the juvenile justice system were more likely to become homeless. In contrast, youth were less likely to experience homelessness if they had ever been placed with a relative while in foster care or had a high cumulative grade point average relative to their peers.</description><identifier>ISSN: 0091-0562</identifier><identifier>EISSN: 1573-2770</identifier><identifier>DOI: 10.1002/ajcp.12098</identifier><identifier>PMID: 27862005</identifier><language>eng</language><publisher>England: Blackwell Science Ltd</publisher><subject><![CDATA[Academic Performance ; Adolescent ; Adoption ; Adult ; African Americans ; Aging ; Asian Americans - statistics & numerical data ; Child placement ; Child Welfare ; Criminal Law ; Ethnic Groups - statistics & numerical data ; European Continental Ancestry Group ; Female ; Foster care ; Foster Home Care ; Group Homes ; Hispanic Americans - statistics & numerical data ; Homeless people ; Homeless Persons - statistics & numerical data ; Homelessness ; Housing ; Humans ; Indians, North American - statistics & numerical data ; Logistic Models ; Male ; Oceanic Ancestry Group - statistics & numerical data ; Odds Ratio ; Older people ; Parents ; Peers ; Predictions ; Predictive modeling ; Protective Factors ; Risk Factors ; Washington ; Young Adult ; Youth]]></subject><ispartof>American journal of community psychology, 2017-09, Vol.60 (1-2), p.33-43</ispartof><rights>Society for Community Research and Action 2016</rights><rights>Society for Community Research and Action 2016.</rights><rights>Copyright Blackwell Science Ltd. Sep 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3578-63baf9f96567de3dc5f9af962fb6e2f7a9f2d778608c0aba6249f71cc72a9c753</citedby><cites>FETCH-LOGICAL-c3578-63baf9f96567de3dc5f9af962fb6e2f7a9f2d778608c0aba6249f71cc72a9c753</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2518458496?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21373,21374,27321,27901,27902,33588,33589,33751,34507,34508,43709,44091</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27862005$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shah, Melissa Ford</creatorcontrib><creatorcontrib>Liu, Qinghua</creatorcontrib><creatorcontrib>Mark Eddy, J.</creatorcontrib><creatorcontrib>Barkan, Susan</creatorcontrib><creatorcontrib>Marshall, David</creatorcontrib><creatorcontrib>Mancuso, David</creatorcontrib><creatorcontrib>Lucenko, Barbara</creatorcontrib><creatorcontrib>Huber, Alice</creatorcontrib><title>Predicting Homelessness among Emerging Adults Aging Out of Foster Care</title><title>American journal of community psychology</title><addtitle>Am J Community Psychol</addtitle><description>This study examines risk and protective factors associated with experiencing homelessness in the year after “aging out” of foster care. Using a state‐level integrated administrative database, we identified 1,202 emerging adults in Washington State who exited foster care between July 2010 and June 2012. Initial bivariate analyses were conducted to assess the association between candidate predictive factors and an indicator of homelessness in a 12‐month follow‐up period. After deploying a stepwise regression process, the final logistic regression model included 15 predictive factors. Youth who were parents, who had recently experienced housing instability, or who were African American had approximately twice the odds of experiencing homelessness in the year after exiting foster care. In addition, youth who had experienced disrupted adoptions, had multiple foster care placements (especially in congregate care settings), or had been involved with the juvenile justice system were more likely to become homeless. In contrast, youth were less likely to experience homelessness if they had ever been placed with a relative while in foster care or had a high cumulative grade point average relative to their peers.</description><subject>Academic Performance</subject><subject>Adolescent</subject><subject>Adoption</subject><subject>Adult</subject><subject>African Americans</subject><subject>Aging</subject><subject>Asian Americans - statistics & numerical data</subject><subject>Child placement</subject><subject>Child Welfare</subject><subject>Criminal Law</subject><subject>Ethnic Groups - statistics & numerical data</subject><subject>European Continental Ancestry Group</subject><subject>Female</subject><subject>Foster care</subject><subject>Foster Home Care</subject><subject>Group Homes</subject><subject>Hispanic Americans - statistics & numerical data</subject><subject>Homeless people</subject><subject>Homeless Persons - statistics & numerical data</subject><subject>Homelessness</subject><subject>Housing</subject><subject>Humans</subject><subject>Indians, North American - statistics & numerical data</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Oceanic Ancestry Group - statistics & numerical data</subject><subject>Odds Ratio</subject><subject>Older people</subject><subject>Parents</subject><subject>Peers</subject><subject>Predictions</subject><subject>Predictive modeling</subject><subject>Protective Factors</subject><subject>Risk Factors</subject><subject>Washington</subject><subject>Young Adult</subject><subject>Youth</subject><issn>0091-0562</issn><issn>1573-2770</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ALSLI</sourceid><sourceid>BHHNA</sourceid><sourceid>HEHIP</sourceid><sourceid>M2R</sourceid><sourceid>M2S</sourceid><recordid>eNp90MtKAzEUBuAgiq3VjQ8gA25EmHqSaZLJchhaLxTaha5DmknKlLnUZAbp25tedOHCRQg5-fg5_AjdYhhjAPKkNno7xgREeoaGmPIkJpzDORoCCBwDZWSArrzfAACnlFyiAeEpIwB0iGZLZ4pSd2Wzjl7a2lTG-yacSNVtGE1r49b7v6zoq85H2eGx6LuotdGs9Z1xUa6cuUYXVlXe3JzuEfqYTd_zl3i-eH7Ns3msE8rTmCUrZYUVjDJemKTQ1IowYMSumCGWK2FJwcNykGpQK8XIRFiOteZECc1pMkIPx9ytaz974ztZl16bqlKNaXsvcTrBKSSU4kDv_9BN27smbCcJDY6mE8GCejwq7VrvnbFy68pauZ3EIPftyn278tBuwHenyH5Vm-KX_tQZAD6Cr7Iyu3-iZPaWL4-h34d1g1E</recordid><startdate>201709</startdate><enddate>201709</enddate><creator>Shah, Melissa Ford</creator><creator>Liu, Qinghua</creator><creator>Mark Eddy, J.</creator><creator>Barkan, Susan</creator><creator>Marshall, David</creator><creator>Mancuso, David</creator><creator>Lucenko, Barbara</creator><creator>Huber, Alice</creator><general>Blackwell Science Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7RV</scope><scope>7U3</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>88J</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHHNA</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>HEHIP</scope><scope>K9.</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M2R</scope><scope>M2S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>POGQB</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PRQQA</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>201709</creationdate><title>Predicting Homelessness among Emerging Adults Aging Out of Foster Care</title><author>Shah, Melissa Ford ; Liu, Qinghua ; Mark Eddy, J. ; Barkan, Susan ; Marshall, David ; Mancuso, David ; Lucenko, Barbara ; Huber, Alice</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3578-63baf9f96567de3dc5f9af962fb6e2f7a9f2d778608c0aba6249f71cc72a9c753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Academic Performance</topic><topic>Adolescent</topic><topic>Adoption</topic><topic>Adult</topic><topic>African Americans</topic><topic>Aging</topic><topic>Asian Americans - statistics & numerical data</topic><topic>Child placement</topic><topic>Child Welfare</topic><topic>Criminal Law</topic><topic>Ethnic Groups - statistics & numerical data</topic><topic>European Continental Ancestry Group</topic><topic>Female</topic><topic>Foster care</topic><topic>Foster Home Care</topic><topic>Group Homes</topic><topic>Hispanic Americans - statistics & numerical data</topic><topic>Homeless people</topic><topic>Homeless Persons - statistics & numerical data</topic><topic>Homelessness</topic><topic>Housing</topic><topic>Humans</topic><topic>Indians, North American - statistics & numerical data</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Oceanic Ancestry Group - statistics & numerical data</topic><topic>Odds Ratio</topic><topic>Older people</topic><topic>Parents</topic><topic>Peers</topic><topic>Predictions</topic><topic>Predictive modeling</topic><topic>Protective Factors</topic><topic>Risk Factors</topic><topic>Washington</topic><topic>Young Adult</topic><topic>Youth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shah, Melissa Ford</creatorcontrib><creatorcontrib>Liu, Qinghua</creatorcontrib><creatorcontrib>Mark Eddy, J.</creatorcontrib><creatorcontrib>Barkan, Susan</creatorcontrib><creatorcontrib>Marshall, David</creatorcontrib><creatorcontrib>Mancuso, David</creatorcontrib><creatorcontrib>Lucenko, Barbara</creatorcontrib><creatorcontrib>Huber, Alice</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Social Services Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Sociological Abstracts</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Sociology Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>PML(ProQuest Medical Library)</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Social Science Database</collection><collection>Sociology Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest Sociology & Social Sciences Collection</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Social Sciences</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of community psychology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shah, Melissa Ford</au><au>Liu, Qinghua</au><au>Mark Eddy, J.</au><au>Barkan, Susan</au><au>Marshall, David</au><au>Mancuso, David</au><au>Lucenko, Barbara</au><au>Huber, Alice</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting Homelessness among Emerging Adults Aging Out of Foster Care</atitle><jtitle>American journal of community psychology</jtitle><addtitle>Am J Community Psychol</addtitle><date>2017-09</date><risdate>2017</risdate><volume>60</volume><issue>1-2</issue><spage>33</spage><epage>43</epage><pages>33-43</pages><issn>0091-0562</issn><eissn>1573-2770</eissn><abstract>This study examines risk and protective factors associated with experiencing homelessness in the year after “aging out” of foster care. Using a state‐level integrated administrative database, we identified 1,202 emerging adults in Washington State who exited foster care between July 2010 and June 2012. Initial bivariate analyses were conducted to assess the association between candidate predictive factors and an indicator of homelessness in a 12‐month follow‐up period. After deploying a stepwise regression process, the final logistic regression model included 15 predictive factors. Youth who were parents, who had recently experienced housing instability, or who were African American had approximately twice the odds of experiencing homelessness in the year after exiting foster care. In addition, youth who had experienced disrupted adoptions, had multiple foster care placements (especially in congregate care settings), or had been involved with the juvenile justice system were more likely to become homeless. In contrast, youth were less likely to experience homelessness if they had ever been placed with a relative while in foster care or had a high cumulative grade point average relative to their peers.</abstract><cop>England</cop><pub>Blackwell Science Ltd</pub><pmid>27862005</pmid><doi>10.1002/ajcp.12098</doi><tpages>11</tpages></addata></record> |
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subjects | Academic Performance Adolescent Adoption Adult African Americans Aging Asian Americans - statistics & numerical data Child placement Child Welfare Criminal Law Ethnic Groups - statistics & numerical data European Continental Ancestry Group Female Foster care Foster Home Care Group Homes Hispanic Americans - statistics & numerical data Homeless people Homeless Persons - statistics & numerical data Homelessness Housing Humans Indians, North American - statistics & numerical data Logistic Models Male Oceanic Ancestry Group - statistics & numerical data Odds Ratio Older people Parents Peers Predictions Predictive modeling Protective Factors Risk Factors Washington Young Adult Youth |
title | Predicting Homelessness among Emerging Adults Aging Out of Foster Care |
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