Risk and Protective Factors for Drug Use Among Youth Living in Foster Care
Abstract Despite recent advances in understanding the individual and contextual development of youth substance abuse, limitations remain regarding the interplay of risk and protective factors—especially for highly vulnerable foster care youth. Using data available from the Communities That Care Yout...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Brook, Jody [verfasserIn] Rifenbark, Graham G. [verfasserIn] Boulton, Aaron [verfasserIn] Little, Todd D. [verfasserIn] McDonald, Thomas P. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Child & adolescent social work journal - New York, NY : Springer Science + Business Media B.V., 1984, 32(2014), 2 vom: 28. Aug., Seite 155-165 |
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| Übergeordnetes Werk: |
volume:32 ; year:2014 ; number:2 ; day:28 ; month:08 ; pages:155-165 |
| Links: |
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| DOI / URN: |
10.1007/s10560-014-0345-5 |
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| Katalog-ID: |
SPR011307978 |
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| 520 | |a Abstract Despite recent advances in understanding the individual and contextual development of youth substance abuse, limitations remain regarding the interplay of risk and protective factors—especially for highly vulnerable foster care youth. Using data available from the Communities That Care Youth Survey, we analyzed risk and protective factors for a sample of 1,595 foster youth. Structural equation modeling was used, and a three-factor confirmatory factory analysis was estimated to validate the survey measurement structure. To differentiate between risk and protective constructs, the researchers employed an orthogonalizing approach to deal with collinearity between risk and protection. Findings indicate a high correlation between the risk and protective constructs and suggest a single dimension for this sample and for the scales as they are currently constructed; however, the orthogonalizing approach used here also provided some support for considering these constructs separately. Findings generated from our study also suggest that risk factors play a greater role in predicting drug use than do protective factors among foster youth. If the differentiation of risks/protective factors is to serve fully in assessment and intervention, we need to disentangle constructs and learn more about their relative and interactive influence. These findings reveal an important distinction in the understanding of the role that risk and protection may play. Although either decreasing risk factors or increasing protective factors will mitigate drug use in foster care youth, our findings suggest that the development and implementation of targeted risk reduction strategies may result in a larger impact. | ||
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| 650 | 4 | |a Foster care youth |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Boulton, Aaron |e verfasserin |4 aut | |
| 700 | 1 | |a Little, Todd D. |e verfasserin |4 aut | |
| 700 | 1 | |a McDonald, Thomas P. |e verfasserin |4 aut | |
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10.1007/s10560-014-0345-5 doi (DE-627)SPR011307978 (SPR)s10560-014-0345-5-e DE-627 ger DE-627 rakwb eng 150 300 ASE 77.00 bkl Brook, Jody verfasserin aut Risk and Protective Factors for Drug Use Among Youth Living in Foster Care 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Despite recent advances in understanding the individual and contextual development of youth substance abuse, limitations remain regarding the interplay of risk and protective factors—especially for highly vulnerable foster care youth. Using data available from the Communities That Care Youth Survey, we analyzed risk and protective factors for a sample of 1,595 foster youth. Structural equation modeling was used, and a three-factor confirmatory factory analysis was estimated to validate the survey measurement structure. To differentiate between risk and protective constructs, the researchers employed an orthogonalizing approach to deal with collinearity between risk and protection. Findings indicate a high correlation between the risk and protective constructs and suggest a single dimension for this sample and for the scales as they are currently constructed; however, the orthogonalizing approach used here also provided some support for considering these constructs separately. Findings generated from our study also suggest that risk factors play a greater role in predicting drug use than do protective factors among foster youth. If the differentiation of risks/protective factors is to serve fully in assessment and intervention, we need to disentangle constructs and learn more about their relative and interactive influence. These findings reveal an important distinction in the understanding of the role that risk and protection may play. Although either decreasing risk factors or increasing protective factors will mitigate drug use in foster care youth, our findings suggest that the development and implementation of targeted risk reduction strategies may result in a larger impact. Substance abuse (dpeaa)DE-He213 Foster care youth (dpeaa)DE-He213 Risk and protective factors (dpeaa)DE-He213 Structural equation modeling (dpeaa)DE-He213 Rifenbark, Graham G. verfasserin aut Boulton, Aaron verfasserin aut Little, Todd D. verfasserin aut McDonald, Thomas P. verfasserin aut Enthalten in Child & adolescent social work journal New York, NY : Springer Science + Business Media B.V., 1984 32(2014), 2 vom: 28. Aug., Seite 155-165 (DE-627)32052471X (DE-600)2015019-2 1573-2797 nnns volume:32 year:2014 number:2 day:28 month:08 pages:155-165 https://dx.doi.org/10.1007/s10560-014-0345-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_91 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 77.00 ASE AR 32 2014 2 28 08 155-165 |
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10.1007/s10560-014-0345-5 doi (DE-627)SPR011307978 (SPR)s10560-014-0345-5-e DE-627 ger DE-627 rakwb eng 150 300 ASE 77.00 bkl Brook, Jody verfasserin aut Risk and Protective Factors for Drug Use Among Youth Living in Foster Care 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Despite recent advances in understanding the individual and contextual development of youth substance abuse, limitations remain regarding the interplay of risk and protective factors—especially for highly vulnerable foster care youth. Using data available from the Communities That Care Youth Survey, we analyzed risk and protective factors for a sample of 1,595 foster youth. Structural equation modeling was used, and a three-factor confirmatory factory analysis was estimated to validate the survey measurement structure. To differentiate between risk and protective constructs, the researchers employed an orthogonalizing approach to deal with collinearity between risk and protection. Findings indicate a high correlation between the risk and protective constructs and suggest a single dimension for this sample and for the scales as they are currently constructed; however, the orthogonalizing approach used here also provided some support for considering these constructs separately. Findings generated from our study also suggest that risk factors play a greater role in predicting drug use than do protective factors among foster youth. If the differentiation of risks/protective factors is to serve fully in assessment and intervention, we need to disentangle constructs and learn more about their relative and interactive influence. These findings reveal an important distinction in the understanding of the role that risk and protection may play. Although either decreasing risk factors or increasing protective factors will mitigate drug use in foster care youth, our findings suggest that the development and implementation of targeted risk reduction strategies may result in a larger impact. Substance abuse (dpeaa)DE-He213 Foster care youth (dpeaa)DE-He213 Risk and protective factors (dpeaa)DE-He213 Structural equation modeling (dpeaa)DE-He213 Rifenbark, Graham G. verfasserin aut Boulton, Aaron verfasserin aut Little, Todd D. verfasserin aut McDonald, Thomas P. verfasserin aut Enthalten in Child & adolescent social work journal New York, NY : Springer Science + Business Media B.V., 1984 32(2014), 2 vom: 28. Aug., Seite 155-165 (DE-627)32052471X (DE-600)2015019-2 1573-2797 nnns volume:32 year:2014 number:2 day:28 month:08 pages:155-165 https://dx.doi.org/10.1007/s10560-014-0345-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_91 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 77.00 ASE AR 32 2014 2 28 08 155-165 |
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10.1007/s10560-014-0345-5 doi (DE-627)SPR011307978 (SPR)s10560-014-0345-5-e DE-627 ger DE-627 rakwb eng 150 300 ASE 77.00 bkl Brook, Jody verfasserin aut Risk and Protective Factors for Drug Use Among Youth Living in Foster Care 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Despite recent advances in understanding the individual and contextual development of youth substance abuse, limitations remain regarding the interplay of risk and protective factors—especially for highly vulnerable foster care youth. Using data available from the Communities That Care Youth Survey, we analyzed risk and protective factors for a sample of 1,595 foster youth. Structural equation modeling was used, and a three-factor confirmatory factory analysis was estimated to validate the survey measurement structure. To differentiate between risk and protective constructs, the researchers employed an orthogonalizing approach to deal with collinearity between risk and protection. Findings indicate a high correlation between the risk and protective constructs and suggest a single dimension for this sample and for the scales as they are currently constructed; however, the orthogonalizing approach used here also provided some support for considering these constructs separately. Findings generated from our study also suggest that risk factors play a greater role in predicting drug use than do protective factors among foster youth. If the differentiation of risks/protective factors is to serve fully in assessment and intervention, we need to disentangle constructs and learn more about their relative and interactive influence. These findings reveal an important distinction in the understanding of the role that risk and protection may play. Although either decreasing risk factors or increasing protective factors will mitigate drug use in foster care youth, our findings suggest that the development and implementation of targeted risk reduction strategies may result in a larger impact. Substance abuse (dpeaa)DE-He213 Foster care youth (dpeaa)DE-He213 Risk and protective factors (dpeaa)DE-He213 Structural equation modeling (dpeaa)DE-He213 Rifenbark, Graham G. verfasserin aut Boulton, Aaron verfasserin aut Little, Todd D. verfasserin aut McDonald, Thomas P. verfasserin aut Enthalten in Child & adolescent social work journal New York, NY : Springer Science + Business Media B.V., 1984 32(2014), 2 vom: 28. Aug., Seite 155-165 (DE-627)32052471X (DE-600)2015019-2 1573-2797 nnns volume:32 year:2014 number:2 day:28 month:08 pages:155-165 https://dx.doi.org/10.1007/s10560-014-0345-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_91 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 77.00 ASE AR 32 2014 2 28 08 155-165 |
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10.1007/s10560-014-0345-5 doi (DE-627)SPR011307978 (SPR)s10560-014-0345-5-e DE-627 ger DE-627 rakwb eng 150 300 ASE 77.00 bkl Brook, Jody verfasserin aut Risk and Protective Factors for Drug Use Among Youth Living in Foster Care 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Despite recent advances in understanding the individual and contextual development of youth substance abuse, limitations remain regarding the interplay of risk and protective factors—especially for highly vulnerable foster care youth. Using data available from the Communities That Care Youth Survey, we analyzed risk and protective factors for a sample of 1,595 foster youth. Structural equation modeling was used, and a three-factor confirmatory factory analysis was estimated to validate the survey measurement structure. To differentiate between risk and protective constructs, the researchers employed an orthogonalizing approach to deal with collinearity between risk and protection. Findings indicate a high correlation between the risk and protective constructs and suggest a single dimension for this sample and for the scales as they are currently constructed; however, the orthogonalizing approach used here also provided some support for considering these constructs separately. Findings generated from our study also suggest that risk factors play a greater role in predicting drug use than do protective factors among foster youth. If the differentiation of risks/protective factors is to serve fully in assessment and intervention, we need to disentangle constructs and learn more about their relative and interactive influence. These findings reveal an important distinction in the understanding of the role that risk and protection may play. Although either decreasing risk factors or increasing protective factors will mitigate drug use in foster care youth, our findings suggest that the development and implementation of targeted risk reduction strategies may result in a larger impact. Substance abuse (dpeaa)DE-He213 Foster care youth (dpeaa)DE-He213 Risk and protective factors (dpeaa)DE-He213 Structural equation modeling (dpeaa)DE-He213 Rifenbark, Graham G. verfasserin aut Boulton, Aaron verfasserin aut Little, Todd D. verfasserin aut McDonald, Thomas P. verfasserin aut Enthalten in Child & adolescent social work journal New York, NY : Springer Science + Business Media B.V., 1984 32(2014), 2 vom: 28. Aug., Seite 155-165 (DE-627)32052471X (DE-600)2015019-2 1573-2797 nnns volume:32 year:2014 number:2 day:28 month:08 pages:155-165 https://dx.doi.org/10.1007/s10560-014-0345-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_91 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 77.00 ASE AR 32 2014 2 28 08 155-165 |
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10.1007/s10560-014-0345-5 doi (DE-627)SPR011307978 (SPR)s10560-014-0345-5-e DE-627 ger DE-627 rakwb eng 150 300 ASE 77.00 bkl Brook, Jody verfasserin aut Risk and Protective Factors for Drug Use Among Youth Living in Foster Care 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Despite recent advances in understanding the individual and contextual development of youth substance abuse, limitations remain regarding the interplay of risk and protective factors—especially for highly vulnerable foster care youth. Using data available from the Communities That Care Youth Survey, we analyzed risk and protective factors for a sample of 1,595 foster youth. Structural equation modeling was used, and a three-factor confirmatory factory analysis was estimated to validate the survey measurement structure. To differentiate between risk and protective constructs, the researchers employed an orthogonalizing approach to deal with collinearity between risk and protection. Findings indicate a high correlation between the risk and protective constructs and suggest a single dimension for this sample and for the scales as they are currently constructed; however, the orthogonalizing approach used here also provided some support for considering these constructs separately. Findings generated from our study also suggest that risk factors play a greater role in predicting drug use than do protective factors among foster youth. If the differentiation of risks/protective factors is to serve fully in assessment and intervention, we need to disentangle constructs and learn more about their relative and interactive influence. These findings reveal an important distinction in the understanding of the role that risk and protection may play. Although either decreasing risk factors or increasing protective factors will mitigate drug use in foster care youth, our findings suggest that the development and implementation of targeted risk reduction strategies may result in a larger impact. Substance abuse (dpeaa)DE-He213 Foster care youth (dpeaa)DE-He213 Risk and protective factors (dpeaa)DE-He213 Structural equation modeling (dpeaa)DE-He213 Rifenbark, Graham G. verfasserin aut Boulton, Aaron verfasserin aut Little, Todd D. verfasserin aut McDonald, Thomas P. verfasserin aut Enthalten in Child & adolescent social work journal New York, NY : Springer Science + Business Media B.V., 1984 32(2014), 2 vom: 28. Aug., Seite 155-165 (DE-627)32052471X (DE-600)2015019-2 1573-2797 nnns volume:32 year:2014 number:2 day:28 month:08 pages:155-165 https://dx.doi.org/10.1007/s10560-014-0345-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_91 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 77.00 ASE AR 32 2014 2 28 08 155-165 |
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Brook, Jody @@aut@@ Rifenbark, Graham G. @@aut@@ Boulton, Aaron @@aut@@ Little, Todd D. @@aut@@ McDonald, Thomas P. @@aut@@ |
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Brook, Jody |
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Brook, Jody ddc 150 bkl 77.00 misc Substance abuse misc Foster care youth misc Risk and protective factors misc Structural equation modeling Risk and Protective Factors for Drug Use Among Youth Living in Foster Care |
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150 300 ASE 77.00 bkl Risk and Protective Factors for Drug Use Among Youth Living in Foster Care Substance abuse (dpeaa)DE-He213 Foster care youth (dpeaa)DE-He213 Risk and protective factors (dpeaa)DE-He213 Structural equation modeling (dpeaa)DE-He213 |
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ddc 150 bkl 77.00 misc Substance abuse misc Foster care youth misc Risk and protective factors misc Structural equation modeling |
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ddc 150 bkl 77.00 misc Substance abuse misc Foster care youth misc Risk and protective factors misc Structural equation modeling |
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Risk and Protective Factors for Drug Use Among Youth Living in Foster Care |
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risk and protective factors for drug use among youth living in foster care |
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Risk and Protective Factors for Drug Use Among Youth Living in Foster Care |
| abstract |
Abstract Despite recent advances in understanding the individual and contextual development of youth substance abuse, limitations remain regarding the interplay of risk and protective factors—especially for highly vulnerable foster care youth. Using data available from the Communities That Care Youth Survey, we analyzed risk and protective factors for a sample of 1,595 foster youth. Structural equation modeling was used, and a three-factor confirmatory factory analysis was estimated to validate the survey measurement structure. To differentiate between risk and protective constructs, the researchers employed an orthogonalizing approach to deal with collinearity between risk and protection. Findings indicate a high correlation between the risk and protective constructs and suggest a single dimension for this sample and for the scales as they are currently constructed; however, the orthogonalizing approach used here also provided some support for considering these constructs separately. Findings generated from our study also suggest that risk factors play a greater role in predicting drug use than do protective factors among foster youth. If the differentiation of risks/protective factors is to serve fully in assessment and intervention, we need to disentangle constructs and learn more about their relative and interactive influence. These findings reveal an important distinction in the understanding of the role that risk and protection may play. Although either decreasing risk factors or increasing protective factors will mitigate drug use in foster care youth, our findings suggest that the development and implementation of targeted risk reduction strategies may result in a larger impact. |
| abstractGer |
Abstract Despite recent advances in understanding the individual and contextual development of youth substance abuse, limitations remain regarding the interplay of risk and protective factors—especially for highly vulnerable foster care youth. Using data available from the Communities That Care Youth Survey, we analyzed risk and protective factors for a sample of 1,595 foster youth. Structural equation modeling was used, and a three-factor confirmatory factory analysis was estimated to validate the survey measurement structure. To differentiate between risk and protective constructs, the researchers employed an orthogonalizing approach to deal with collinearity between risk and protection. Findings indicate a high correlation between the risk and protective constructs and suggest a single dimension for this sample and for the scales as they are currently constructed; however, the orthogonalizing approach used here also provided some support for considering these constructs separately. Findings generated from our study also suggest that risk factors play a greater role in predicting drug use than do protective factors among foster youth. If the differentiation of risks/protective factors is to serve fully in assessment and intervention, we need to disentangle constructs and learn more about their relative and interactive influence. These findings reveal an important distinction in the understanding of the role that risk and protection may play. Although either decreasing risk factors or increasing protective factors will mitigate drug use in foster care youth, our findings suggest that the development and implementation of targeted risk reduction strategies may result in a larger impact. |
| abstract_unstemmed |
Abstract Despite recent advances in understanding the individual and contextual development of youth substance abuse, limitations remain regarding the interplay of risk and protective factors—especially for highly vulnerable foster care youth. Using data available from the Communities That Care Youth Survey, we analyzed risk and protective factors for a sample of 1,595 foster youth. Structural equation modeling was used, and a three-factor confirmatory factory analysis was estimated to validate the survey measurement structure. To differentiate between risk and protective constructs, the researchers employed an orthogonalizing approach to deal with collinearity between risk and protection. Findings indicate a high correlation between the risk and protective constructs and suggest a single dimension for this sample and for the scales as they are currently constructed; however, the orthogonalizing approach used here also provided some support for considering these constructs separately. Findings generated from our study also suggest that risk factors play a greater role in predicting drug use than do protective factors among foster youth. If the differentiation of risks/protective factors is to serve fully in assessment and intervention, we need to disentangle constructs and learn more about their relative and interactive influence. These findings reveal an important distinction in the understanding of the role that risk and protection may play. Although either decreasing risk factors or increasing protective factors will mitigate drug use in foster care youth, our findings suggest that the development and implementation of targeted risk reduction strategies may result in a larger impact. |
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| title_short |
Risk and Protective Factors for Drug Use Among Youth Living in Foster Care |
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https://dx.doi.org/10.1007/s10560-014-0345-5 |
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Rifenbark, Graham G. Boulton, Aaron Little, Todd D. McDonald, Thomas P. |
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Rifenbark, Graham G. Boulton, Aaron Little, Todd D. McDonald, Thomas P. |
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| doi_str |
10.1007/s10560-014-0345-5 |
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2024-07-03T21:49:37.032Z |
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| score |
7.397979 |