eCite Digital Repository

Population-based analysis of firearm injuries among young children in the United States, 20102015

Citation

Cook, A and Hosmer, D and Glance, L and Kalesan, B and Weinberg, J and Rogers, A and Schultz, S and Gilligan, S and Gross, B and Vernon, T and Ward, J and Osler, T and Rogers, F, Population-based analysis of firearm injuries among young children in the United States, 2010-2015, American Surgeon, 85, (5) pp. 449-455. ISSN 0003-1348 (2019) [Refereed Article]


Preview
PDF
Pending copyright assessment - Request a copy
124Kb
  

Abstract

Firearm violence in the United States knows no age limit. This study compares the survival of children younger than five years to children and adolescents of age 5-19 years who presented to an ED for gunshot wounds (GSWs) in the United States to test the hypothesis of higher GSW mortality in very young children. A study of GSW patients aged 19 years and younger who survived to reach medical care was performed using the Nationwide ED Sample for 2010-2015. Hospital survival and incidence of fatal and nonfatal GSWs in the United States were the study outcomes. A multilevel logistic regression model estimated the strength of association among predictors of hospital mortality. The incidence of ED presentation for GSW is as high as 19 per 100,000 population per year. Children younger than five years were 2.7 times as likely to die compared with older children (15.3% vs 5.6%). Children younger than one year had the highest hospital mortality, 33.1 per cent. The mortality from GSW is highest among the youngest children compared with older children. This information may help policy makers and the public better understand the impact of gun violence on the youngest and most vulnerable Americans.

Item Details

Item Type:Refereed Article
Keywords:biostatistics
Research Division:Mathematical Sciences
Research Group:Statistics
Research Field:Biostatistics
Objective Division:Health
Objective Group:Health and Support Services
Objective Field:Allied Health Therapies (excl. Mental Health Services)
UTAS Author:Hosmer, D (Professor David Hosmer)
ID Code:138951
Year Published:2019
Web of Science® Times Cited:1
Deposited By:Menzies Institute for Medical Research
Deposited On:2020-05-14
Last Modified:2020-05-17
Downloads:0

Repository Staff Only: item control page