Although links between adverse childhood experiences (ACEs) and problems in adulthood are wellestablished, less is known regarding links between exposure to trauma during childhood and adolescence and high-risk behavior in adolescence. We tested the hypothesis that cumulative exposure to up to 20 different types of trauma and bereavement/loss incrementally predicts high-risk adolescent behavior beyond demographic variables. Adolescents reporting exposure to at least 1 type of trauma (n ϭ 3,785; mean age ϭ 15.3 years; 62.7% girls) were selected from the National Child Traumatic Stress Network Core Data Set (CDS). Logistic regression analyses tested associations among both demographic variables and number of types of trauma and loss exposure as predictors, and 9 types of high-risk adolescent behavior and functional impairment (attachment difficulties, skipping school, running away from home, substance abuse, suicidality, criminality, self-injury, alcohol use, and victim of sexual exploitation) as criterion variables. As hypothesized, hierarchical logistic regression analyses revealed that each additional type of trauma exposure significantly increased the odds ratios for each problem behavior (range ϭ 1.06 -1.22) after accounting for demographic variables. Some demographic variables (female gender, public insurance eligibility, and older age) were also associated with increased likelihood for some outcomes. Study findings extend previously identified links between childhood trauma and problems later in life to include high-risk behavior and functional impairment during adolescence. The findings underscore the need for a trauma-informed public health approach to systematic screening, prevention, and early intervention for traumatized and bereaved youth in child service systems.
The study objectives were to (a) examine the association between total number of trauma types experienced and child/adolescent behavioral problems and (b) determine whether the number of trauma types experienced predicted youth behavioral problems above and beyond demographic characteristics, using a diverse set of 20 types of trauma. Data came from the National Child Traumatic Stress Network's (NCTSN) Core Data Set (CDS), which includes youth assessed and treated for trauma across the United States. Participants who experienced at least one type of trauma were included in the sample (N = 11,028; age = 1½-18 years; 52.3% girls). Random effects models were used to account for possible intraclass correlations given treatment services were provided at different NCTSN centers. Logistic regression analyses were used to investigate associations among demographic characteristics, trauma, and emotional and behavioral problems as measured by the Child Behavior Checklist (CBCL). Significant dose-response relations were found between total number of trauma types and behavior problems for all CBCL scales, except Sleep, one of the subscales only administered to 1½- to 5-year-olds. Thus, each additional trauma type endorsed significantly increased the odds for scoring above the clinical threshold. Results provide further evidence of strong associations between diverse traumatic childhood experiences and a diverse range of behavior problems, and underscore the need for a trauma-informed public health and social welfare approach to prevention, risk reduction, and early intervention for traumatized youth.
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