Neighborhood and social environmental influences on child chronic disease prevalence

We investigate how distinct residential environments uniquely influence chronic child disease prevalence. Aggregating over 200,000 pediatric geocoded medical records to the census tract of residence and linking them to neighborhood-level measures, we use multiple data analysis techniques to assess how heterogeneous exposures of social and environmental neighborhood conditions influence an index of child chronic disease (CCD) prevalence for the neighborhood. We find there is a graded relationship between degree of overall neighborhood disadvantage and children’s chronic disease such that the highest neighborhood CCD scores are found in communities with the highest concentrated disadvantage. After considering individual- and family-level characteristics, results show that higher levels of neighborhood concentrated disadvantage and air pollution exposure associate with higher risks of children having at least one chronic condition. Overall, our analysis serves as a comprehensive start for future researchers interested in assessing which neighborhood factors matter most for child chronic health conditions.