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NCJ Number: 136527 Find in a Library
Title: Links Between Types of Maltreatment and Demographic Characteristics of Children
Journal: Child Abuse and Neglect  Volume:16  Issue:2  Dated:(1992)  Pages:201-215
Author(s): E D Jones; K McCurdy
Date Published: 1992
Page Count: 15
Type: Research (Applied/Empirical)
Format: Article
Language: English
Country: United States of America
Annotation: Data from the National Incidence Study of Child Abuse and Neglect (NIS-2) was used to examine the relative impact of various demographic characteristics of the child, family structure, and economic variables on types of child abuse and neglect. The survey collected information from child protective services and other agencies including schools and hospitals in a national sample of 29 counties.
Abstract: This study used a series of exploratory logistic regression models to distinguish between four types of maltreatment: physical abuse, sexual abuse, emotional neglect, and physical neglect. According to the findings, physical neglect is the most predictable and distinguishable. In addition, physical neglect is most clearly related to economic factors, specifically low income and Aid to Families With Dependent Children (AFDC) status; race is not a significant factor. The results also indicate that sexual abuse and physical neglect occur at an earlier age than previously believed. The findings suggest the need to work with and provide services to families in poverty. Neglect could be reduced by providing health care including prenatal care to all families. Prevention programs for sexual abuse and neglect need to target families with very young children, however programs to reduce emotional abuse should recruit parents of adolescent children as well. 1 figure, 3 tables, 1 appendix, and 26 references (Author abstract modified)
Main Term(s): Child abuse-social class relationships
Index Term(s): Child abuse causes; Child abuse prevention; Economic influences; Regression analysis
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=136527

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