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Identifying perinatal risk factors for infant maltreatment: An ecological approach

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dc.contributor.author Zhou, Y., Hallisey, E. J., & Freymann, G. R.
dc.date.accessioned 2014-12-19T20:02:30Z
dc.date.available 2014-12-19T20:02:30Z
dc.date.issued 2006
dc.identifier.citation Zhou, Y., Hallisey, E. J., & Freymann, G. R. (2006). Identifying perinatal risk factors for infant maltreatment: An ecological approach. International journal of health geographics, 5(1), 53. en_US
dc.identifier.uri http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1698478/pdf/1476-072X-5-53.pdf
dc.identifier.uri http://hdl.handle.net/11212/1997
dc.description.abstract Child maltreatment and its consequences are a persistent problem throughout the world. Public health workers, human services officials, and others are interested in new and efficient ways to determine which geographic areas to target for intervention programs and resources. To improve assessment efforts, selected perinatal factors were examined, both individually and in various combinations, to determine if they are associated with increased risk of infant maltreatment. State of Georgia birth records and abuse and neglect data were analyzed using an area-based, ecological approach with the census tract as a surrogate for the community. Cartographic visualization suggested some correlation exists between risk factors and child maltreatment, so bivariate and multivariate regression were performed. The presence of spatial autocorrelation precluded the use of traditional ordinary least squares regression, therefore a spatial regression model coupled with maximum likelihood estimation was employed. Results: Results indicate that all individual factors or their combinations are significantly associated with increased risk of infant maltreatment. The set of perinatal risk factors that best predicts infant maltreatment rates are: mother smoked during pregnancy, families with three or more siblings, maternal age less than 20 years, births to unmarried mothers, Medicaid beneficiaries, and inadequate prenatal care. Conclusion: This model enables public health to take a proactive stance, to reasonably predict areas where poor outcomes are likely to occur, and to therefore more efficiently allocate resources. U.S. states that routinely collect the variables the National Center for Health Statistics (NCHS) defines for birth certificates can easily identify areas that are at high risk for infant maltreatment. The authors recommend that agencies charged with reducing child maltreatment target communities that demonstrate the perinatal risks identified in this study. (Author Abstract) en_US
dc.language.iso en_US en_US
dc.publisher International journal of health geographics en_US
dc.subject child abuse en_US
dc.subject infants en_US
dc.subject risk factors en_US
dc.subject geography en_US
dc.subject research en_US
dc.subject communities en_US
dc.title Identifying perinatal risk factors for infant maltreatment: An ecological approach en_US
dc.type Article en_US


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