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J Pediatr Surg ; 54(11): 2375-2381, 2019 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-31072680

RESUMO

BACKGROUND: The purpose of this study was to investigate our institution's experience with pediatric firearm events. We sought to determine the relationship between a community's level of socioeconomic distress and the incidence of youth gun violence. METHODS: We performed a retrospective review of children <18 years involved in firearm events. Using visual cluster analysis, we portrayed all firearm events and violent firearm events (assaults + homicides). Distressed community indices (DCIs) were obtained from an interface that uses US Census Bureau data. Incident rate ratios (IRRs) were calculated for firearm circumstances (i.e. assault, homicide, suicide) using a DCI. Significant IRRs were analyzed to discern which DCI metrics contributed most to gun violence. RESULTS: There were 114 children involved in firearm events; 66 were county residents. The DCI of injury location significantly predicted total firearm events (IRR 1.02, 95% CI 1.01-1.03), assaults (IRR 1.02, 95% CI 1.01-1.05), and violent firearm events (IRR 1.03, 95% CI 1.01-1.05). The proportion of adults without a high school diploma, poverty rate, median income ratio, and housing vacancy rate were highly predictive of gun violence (VIP >1). CONCLUSION: Community distress significantly predicts pediatric firearm violence. Local interventions should target neighborhoods with high levels of distress to prevent further youth gun violence. LEVEL OF EVIDENCE: Retrospective study, IV.


Assuntos
Violência com Arma de Fogo/estatística & dados numéricos , Fatores Socioeconômicos , Ferimentos por Arma de Fogo/epidemiologia , Acidentes/estatística & dados numéricos , Adolescente , Criança , Escolaridade , Feminino , Georgia/epidemiologia , Homicídio/estatística & dados numéricos , Habitação , Humanos , Renda , Masculino , Abuso Físico , Áreas de Pobreza , Estudos Retrospectivos , Tentativa de Suicídio/estatística & dados numéricos , Suicídio Consumado/estatística & dados numéricos
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