Factors associated with child removal among American Indian and Alaska native people in an alcohol intervention study

This study was a secondary data analysis of factors associated with alcohol-related child removal among American Indian/Alaska Native (AI/AN) adults enrolled in a clinical trial of an alcohol intervention. Among 326 parent participants, 40% reported ever having a child removed from their care in par...

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VerfasserInnen: Lyons, Abram J. (VerfasserIn) ; Hirchak, Katherine A. (VerfasserIn) ; Kordas, Gordon (VerfasserIn) ; Herron, Jalene L. (VerfasserIn) ; Jansen, Kelley (VerfasserIn) ; Alcover, Karl C. (VerfasserIn) ; Bergerson, Dustin (VerfasserIn) ; Avey, Jaedon P. (VerfasserIn) ; Shaw, Jennifer (VerfasserIn) ; Roll, John (VerfasserIn) ; Buchwald, Dedra (VerfasserIn) ; McDonell, Michael G. (VerfasserIn)
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 2023
In: Child maltreatment
Jahr: 2023, Band: 28, Heft: 4, Seiten: 599-607
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Zusammenfassung:This study was a secondary data analysis of factors associated with alcohol-related child removal among American Indian/Alaska Native (AI/AN) adults enrolled in a clinical trial of an alcohol intervention. Among 326 parent participants, 40% reported ever having a child removed from their care in part because of the parent’s alcohol use, defined here as alcohol-related child removal. Seventy-five percent of parents reported at least one separation during their own childhood (M = 1.3, SD = 1.0). In a multivariable analysis, alcohol-related child removal was associated with parental boarding school attendance. No relationship was found between alcohol-related child removal and alcohol intervention outcomes. Results may provide evidence of multigenerational child removal impacts of boarding schools on AI/AN adults receiving an alcohol use disorder intervention. Assessment of parental history of child removal by practitioners, strategies to prevent alcohol-related separation and to support reunification should be integrated into addiction treatment in AI/AN communities.
ISSN:1552-6119
DOI:10.1177/10775595221134689