Citation

Beck AF, Huang B, Ryan PH, Sandel MT, Chen C, Kahn RS. J. Pediatr. 2016; 173: 175-182.e1.

Affiliation

Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.

Copyright

(Copyright © 2016, Elsevier Publishing)

DOI

10.1016/j.jpeds.2016.02.018

PMID

26960918

Abstract

OBJECTIVES: To assess whether population-level violent (and all) crime rates were associated with population-level child asthma utilization rates and predictive of patient-level risk of asthma reutilization after a hospitalization. STUDY DESIGN: A retrospective cohort study of 4638 pediatric asthma-related emergency department visits and hospitalizations between 2011 and 2013 was completed. For population-level analyses, census tract asthma utilization rates were calculated by dividing the number of utilization events within a tract by the child population. For patient-level analyses, hospitalized patients (n = 981) were followed until time of first asthma-related reutilization. The primary predictor was the census tract rate of violent crime as recorded by the police; the all crime (violent plus nonviolent) rate was also assessed.

RESULTS: Census tract-level violent and all crime rates were significantly correlated with asthma utilization rates (both P < .0001). The violent crime rate explained 35% of the population-level asthma utilization variance and remained associated with increased utilization after adjustment for census tract poverty, unemployment, substandard housing, and traffic exposure (P = .002). The all crime rate explained 28% of the variance and was similarly associated with increased utilization after adjustment (P = .02). Hospitalized children trended toward being more likely to reutilize if they lived in higher violent (P = .1) and all crime areas (P = .01). After adjustment, neither relationship was significant.

CONCLUSIONS: Crime data could help facilitate early identification of potentially toxic stressors relevant to the control of asthma for populations and patients.

Copyright © 2016 Elsevier Inc. All rights reserved.

Language: en