ERIC Number: EJ918687
Record Type: Journal
Publication Date: 2011-Feb
Abstractor: As Provided
Reference Count: 0
Identifying Children at High Risk for a Child Maltreatment Report
Dubowitz, Howard; Kim, Jeongeun; Black, Maureen M.; Weisbart, Cindy; Semiatin, Joshua; Magder, Laurence S.
Child Abuse & Neglect: The International Journal, v35 n2 p96-104 Feb 2011
Objective: To help professionals identify factors that place families at risk for future child maltreatment, to facilitate necessary services and to potentially help prevent abuse and neglect. Method: The data are from a prospective, longitudinal study of 332 low-income families recruited from urban pediatric primary care clinics, followed for over 10 years, until the children were approximately 12 years old. Children with prior child protective services involvement (CPS) were excluded. The initial assessment included sociodemographic, child, parent and family level variables. Child maltreatment was assessed via CPS reports. Risk ratios (RRs) and their 95% confidence intervals (CIs) were estimated using Cox regression models. Results: Of the 224 children without a prior CPS report and with complete data who were followed for an average of 10 years, 97 (43%) later had a CPS report. In a multivariate survival analysis, 5 risk factors predicted CPS reports: child's low performance on a standardized developmental assessment (RR = 1.23, 95% CI = 1.01-1.49, p=0.04), maternal education less than or equal to high school (RR = 1.55, CI = 1.01-2.38, p=0.04), maternal drug use (RR = 1.71, CI = 1.01-2.90, p less than 0.05), maternal depressive symptoms (RR per one standard deviation higher score = 1.28, CI = 1.09-1.51, p less than 0.01), and more children in the family (RR per additional child = 1.26, CI = 1.07-1.47, p less than 0.01). Conclusions: Five risk factors were associated with an increased risk for later maltreatment. Child health care and other professionals can identify these risk factors and facilitate necessary services to strengthen families, support parents and potentially help prevent child maltreatment.
Descriptors: Intervals, Child Abuse, Low Income, Child Health, Drug Use, Risk, Depression (Psychology), Clinics, Low Income Groups, Identification, Prevention, Pediatrics, Urban Areas, Regression (Statistics), Standardized Tests, Correlation, Health Services, Mothers, Prediction, Family Relationship
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
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