Identifying Perinatal Risk Factors for Infant Maltreatment
Author Information
Author(s): Zhou Yueqin, Hallisey Elaine J, Freymann Gordon R
Primary Institution: Georgia State University
Hypothesis
A census tract having a higher percentage of births with perinatal risks is more likely to have a higher rate of infant maltreatment.
Conclusion
The study identifies specific perinatal risk factors that can help public health agencies predict and target areas at high risk for infant maltreatment.
Supporting Evidence
- All individual factors or their combinations are significantly associated with increased risk of infant maltreatment.
- The best predictors of infant maltreatment rates include maternal smoking during pregnancy and families with three or more siblings.
- Public health agencies can use this model to identify high-risk areas for targeted interventions.
Takeaway
This study looks at how certain factors during pregnancy can make it more likely for babies to be hurt or neglected. By knowing these factors, we can help keep babies safe.
Methodology
The study used an ecological approach analyzing birth records and maltreatment data from Georgia, employing spatial regression models to account for spatial autocorrelation.
Potential Biases
Potential biases include spatial autocorrelation and missing variables that could affect the results.
Limitations
The study's ecological design may not accurately reflect individual-level relationships and may suffer from ecological fallacy.
Participant Demographics
The study analyzed data from infants in Georgia, focusing on perinatal risk factors without individual identifiers.
Statistical Information
P-Value
<0.0000
Statistical Significance
p<0.0000
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website