@article{ref1,
title="The neighborhood deprivation gradient and child physical abuse and neglect: a Bayesian spatial model",
journal="Child abuse and neglect",
year="2023",
author="Barboza-Salerno, Gia Elise",
volume="146",
number="",
pages="e106501-e106501",
abstract="BACKGROUND: Child abuse and neglect is a public health priority due to its long-term maladaptive consequences. No study in the USA has assessed the nature and magnitude of the social deprivation effect on substantiated child maltreatment risk. <br><br>OBJECTIVES: To examine linear and non-linear relationships between area level deprivation and the log-risk of both substantiated physical abuse and neglect while accounting for spatial and heterogeneous random effects. <br><br>METHODS: Substantiated child maltreatment and population data (2008-2015) were aggregated to neighborhoods in Bernalillo County, New Mexico. The contribution of area level deprivation to the geographical variation in the log-risks of substantiated child physical abuse and neglect was modeled using Bayesian spatial regression. <br><br>RESULTS: Forty-three percent and 46.4 % of the 153 neighborhoods recorded greater risk for either substantiated physical abuse or neglect compared to the county average. The most deprived 20 % of neighborhoods had 71 % and 72 % more cases of substantiated physical abuse and neglect, respectively, than would be expected if the substantiations were randomly distributed throughout the county. Area level deprivation explained 47 % of the variation in substantiated physical abuse and 51 % of the variation in substantiated neglect after controlling for both spatial autocorrelation and heterogeneity. <br><br>CONCLUSIONS: Implications from this study can be used to quantify disparities in substantiated child maltreatment attributed to regional differences in social deprivation and to identify priority areas for intervention.<p /> <p>Language: en</p>",
language="en",
issn="0145-2134",
doi="10.1016/j.chiabu.2023.106501",
url="http://dx.doi.org/10.1016/j.chiabu.2023.106501"
}