Methods: We used three waves of panel data from the Fragile Families and Child Wellbeing Study, a population-based birth cohort study of 4,898 children born in large US cities in 1998-2000. Analyses used pooled cross-sections of data collected when children were 3-, 5-, and 9-year old. Child maltreatment was operationalized via primary caregivers’ (primarily mothers’) self-reports of child protective services (CPS) involvement and parenting behaviors (based on physical, psychological, and neglectful behaviors from the Parent-Child Conflict Tactics Scale), and frequency of spanking as proxies for child maltreatment risk.
Neighborhood inequality at each wave was measured based on Gini coefficients (low/medium/high) of 2,631 census tracts. Families’ low-income status was defined as household income below 200% of the federal poverty level. We identified six mutually-exclusive groups to capture the intersection between neighborhood inequality and family income. A rich set of family- and neighborhood-level characteristics were included in our analyses.
Results: A series of random-effects models were estimated to test the associations between neighborhood inequality, family low-income status, and child maltreatment risk. We found that children of non-low-income parents who resided in low-Gini neighborhoods had the lowest maltreatment risk, while low-income children living in high-Gini neighborhoods had the highest risk. Subsequent analyses will explore differences in associations by child age, child sex, and family structure to identify which families and children are particularly at risk.
Conclusions and Implications: Mirroring existing research on the effects of inequality on individual health and well-being, our results suggest that child maltreatment is affected not just by absolute resources at the family- or neighborhood-level, but by the unequal distribution of such resources in their communities. Our findings shed light on potential strategies to address child maltreatment by focusing on the intersection of neighborhood- and family-level factors.