title: Looking forward in records of youth abused as children: risks for homicidal, violent, and delinquent offenses.
abstract: To study risks of abuse, violence, and homicide, 181 Abused Children (M age = 12.85 yr., SD = 2.74; 58 girls, 123 boys) were matched with 181 clinic-referred Controls. Data analysis was Shao's bootstrapped logistic regression with area under curve (AUC) and odds ratios (OR). Predictors of abused status were court contacts (OR = 2.04e+22) and poorer executive function (OR = .81; AUC = .99; 95% CI = .97-.99). Groups were tracked forward in records for 9 years (M = 8.78 yr., SD = 1.41). Looking forward, youth (M age = 21.63 yr., SD = 2.07) were classified into Abused Children Later Homicidal (5%, n = 10), Abused Children Later Violent (23%, n = 41), Abused Children Later Delinquent (28%, n = 50), Abused Children Later Nondelinquent (44%, n = 80), and Controls (n = 181). Data were analyzed with two more logistic regressions. Predictors of Abused Children Later Homicidal compared with Controls were number of court contacts (OR = 50,398.78) and poorer executive function (OR = 79.72; AUC = .91; 95% CI = .80-.95). The predictor of Abused Children Later Homicidal contrasted with Abused Children Later Nondelinquent was court contacts (OR = 2,077,089,352; AUC = .87; 95% CI = .65-.95). The common predictor for Abused Children and Abused Children Later Homicidal groups was court contacts.
authors.affiliation: University of Illinois Chicago School of Medicine, USA.
authors.forename: John Russell
authors.initials: JR
authors.lastname: Hughes
authors.forename: Robert John
authors.initials: RJ
authors.lastname: Zagar
authors.forename: Kenneth G
authors.initials: KG
authors.lastname: Busch
authors.forename: William M
authors.initials: WM
authors.lastname: Grove
authors.forename: Jack
authors.initials: J
authors.lastname: Arbit
mesh_terms: D000293:Adolescent; D002648:Child; D002649:Child Abuse / Q000523:psychology / Q000706:statistics & numerical data*; D002650:Child Abuse, Sexual / Q000523:psychology / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007604:Juvenile Delinquency / Q000523:psychology / Q000706:statistics & numerical data*; D016015:Logistic Models; D008297:Male; D012307:Risk Factors; D019966:Substance-Related Disorders / Q000453:epidemiology / Q000523:psychology; D014754:Violence / Q000523:psychology / Q000706:statistics & numerical data*