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PEDIATRICS· 2026Q1

Association of Community Factors, Firearm Laws, and Pediatric Firearm Injuries

Ximena Nava Diaz, Amber Lin, Sean Babcock, Apoorva Salvi et al.

Short summary

Zip code-level analysis reveals that structural racism, urbanicity, income, unemployment, educational opportunities, and gun laws (background checks, firearm access) predict pediatric firearm injuries.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Structural racism, urbanicity, income, unemployment, and educational opportunities are predictors of pediatric firearm injuries.
  • Gun laws related to background checks and firearm access are associated with injury rates.
  • The study analyzed data from 46 states and D.C. between 2018-2022, using NEMSIS and Gun Violence Archive data.
  • 1288 (4.5%) zip codes reported at least one firearm incident in NEMSIS, and 1180 (4.1%) in GVA.

AI-generated from the title and abstract; the full text is not read.

Abstract

OBJECTIVE: To conduct a zip code-level analysis of community measures and firearm legislation associated with pediatric fatal and nonfatal firearm injuries, ordered by strength of association. METHODS: This was an ecological study of 46 states and the District of Columbia from January 1, 2018 to December 31, 2022. We examined 29 zip code-level variables from the American Community Survey, Social Vulnerability Index, Child Opportunity Index, Giffords Scorecard on Gun Safety Legislation, and the Structural Racism Effect Index. The outcome was the annual incidence of fatal and nonfatal pediatric firearm injuries in each zip code, as included in the National Emergency Medical Services (EMS) Information System (NEMSIS, all 9-1-1 EMS responses) and the Gun Violence Archive (GVA, all police-reported and publicly reported firearm events). We used negative binomial regression and machine learning analysis to evaluate predictors. RESULTS: There were 28 631 zip codes included in the analysis. The average annual incidence of pediatric firearm injuries ranged from 0 to 16 per zip code in NEMSIS, with 1288 (4.5%) zip codes having at least one firearm incident. In GVA, annual incidence ranged from 0 to 35 per zip code, with 1180 (4.1%) zip codes having firearm events. Predictors of firearm injuries included structural racism (in social cohesion, built environment, employment, housing, and criminal justice), urbanicity, household income, unemployment, educational opportunities, and gun laws for background checks and firearm access. CONCLUSIONS: Modifiable community characteristics and certain firearm legislation are associated with pediatric firearm injuries, providing focus areas for community planning, public health, and policy changes to reduce firearm-related injuries and deaths.

The authors' abstract, as published at the source. PEDIATRICS, 2026 · DOI ↗

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Field: Health

HealthSocial Sciences