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Association Between Markers of Structural Racism and Mass Shooting Events in Major US Cities

IMPORTANCE: The root cause of mass shooting events (MSEs) and the populations most affected by them are poorly understood. OBJECTIVE: To examine the association between structural racism and mass shootings in major metropolitan cities in the United States. DESIGN, SETTING, AND PARTICIPANTS: This cro...

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Autores principales: Ghio, Michael, Simpson, John Tyler, Ali, Ayman, Fleckman, Julia M., Theall, Katherine P., Constans, Joseph I., Tatum, Danielle, McGrew, Patrick R., Duchesne, Juan, Taghavi, Sharven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357360/
https://www.ncbi.nlm.nih.gov/pubmed/37466952
http://dx.doi.org/10.1001/jamasurg.2023.2846
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author Ghio, Michael
Simpson, John Tyler
Ali, Ayman
Fleckman, Julia M.
Theall, Katherine P.
Constans, Joseph I.
Tatum, Danielle
McGrew, Patrick R.
Duchesne, Juan
Taghavi, Sharven
author_facet Ghio, Michael
Simpson, John Tyler
Ali, Ayman
Fleckman, Julia M.
Theall, Katherine P.
Constans, Joseph I.
Tatum, Danielle
McGrew, Patrick R.
Duchesne, Juan
Taghavi, Sharven
author_sort Ghio, Michael
collection PubMed
description IMPORTANCE: The root cause of mass shooting events (MSEs) and the populations most affected by them are poorly understood. OBJECTIVE: To examine the association between structural racism and mass shootings in major metropolitan cities in the United States. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study of MSEs in the 51 largest metropolitan statistical areas (MSAs) in the United States analyzes population-based data from 2015 to 2019 and the Gun Violence Archive. The data analysis was performed from February 2021 to January 2022. EXPOSURE: Shooting event where 4 or more people not including the shooter were injured or killed. MAIN OUTCOME AND MEASURES: MSE incidence and markers of structural racism from demographic data, Gini income coefficient, Black-White segregation index, and violent crime rate. RESULTS: There were 865 MSEs across all 51 MSAs from 2015 to 2019 with a total of 3968 injuries and 828 fatalities. Higher segregation index (ρ = 0.46, P = .003) was associated with MSE incidence (adjusted per 100 000 population) using Spearman ρ analysis. Percentage of the MSA population comprising Black individuals (ρ = 0.76, P < .001), children in a single-parent household (ρ = 0.44, P < .001), and violent crime rate (ρ = 0.34, P = .03) were other variables associated with MSEs. On linear regression, structural racism, as measured by percentage of the MSA population comprising Black individuals, was associated with MSEs (β = 0.10; 95% CI, 0.05 to 0.14; P < .001). Segregation index (β = 0.02, 95% CI, −0.03 to 0.06; P = .53), children in a single-parent household (β = −0.04, 95% CI, −0.11 to 0.04; P = .28), and Gini income coefficient (β = −1.02; 95% CI, −11.97 to 9.93; P = .93) were not associated with MSEs on linear regression. CONCLUSIONS AND RELEVANCE: This study found that major US cities with higher populations of Black individuals are more likely to be affected by MSEs, suggesting that structural racism may have a role in their incidence. Public health initiatives aiming to prevent MSEs should target factors associated with structural racism to address gun violence.
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spelling pubmed-103573602023-07-21 Association Between Markers of Structural Racism and Mass Shooting Events in Major US Cities Ghio, Michael Simpson, John Tyler Ali, Ayman Fleckman, Julia M. Theall, Katherine P. Constans, Joseph I. Tatum, Danielle McGrew, Patrick R. Duchesne, Juan Taghavi, Sharven JAMA Surg Original Investigation IMPORTANCE: The root cause of mass shooting events (MSEs) and the populations most affected by them are poorly understood. OBJECTIVE: To examine the association between structural racism and mass shootings in major metropolitan cities in the United States. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study of MSEs in the 51 largest metropolitan statistical areas (MSAs) in the United States analyzes population-based data from 2015 to 2019 and the Gun Violence Archive. The data analysis was performed from February 2021 to January 2022. EXPOSURE: Shooting event where 4 or more people not including the shooter were injured or killed. MAIN OUTCOME AND MEASURES: MSE incidence and markers of structural racism from demographic data, Gini income coefficient, Black-White segregation index, and violent crime rate. RESULTS: There were 865 MSEs across all 51 MSAs from 2015 to 2019 with a total of 3968 injuries and 828 fatalities. Higher segregation index (ρ = 0.46, P = .003) was associated with MSE incidence (adjusted per 100 000 population) using Spearman ρ analysis. Percentage of the MSA population comprising Black individuals (ρ = 0.76, P < .001), children in a single-parent household (ρ = 0.44, P < .001), and violent crime rate (ρ = 0.34, P = .03) were other variables associated with MSEs. On linear regression, structural racism, as measured by percentage of the MSA population comprising Black individuals, was associated with MSEs (β = 0.10; 95% CI, 0.05 to 0.14; P < .001). Segregation index (β = 0.02, 95% CI, −0.03 to 0.06; P = .53), children in a single-parent household (β = −0.04, 95% CI, −0.11 to 0.04; P = .28), and Gini income coefficient (β = −1.02; 95% CI, −11.97 to 9.93; P = .93) were not associated with MSEs on linear regression. CONCLUSIONS AND RELEVANCE: This study found that major US cities with higher populations of Black individuals are more likely to be affected by MSEs, suggesting that structural racism may have a role in their incidence. Public health initiatives aiming to prevent MSEs should target factors associated with structural racism to address gun violence. American Medical Association 2023-07-19 2023-10 /pmc/articles/PMC10357360/ /pubmed/37466952 http://dx.doi.org/10.1001/jamasurg.2023.2846 Text en Copyright 2023 Ghio M et al. JAMA Surgery. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Ghio, Michael
Simpson, John Tyler
Ali, Ayman
Fleckman, Julia M.
Theall, Katherine P.
Constans, Joseph I.
Tatum, Danielle
McGrew, Patrick R.
Duchesne, Juan
Taghavi, Sharven
Association Between Markers of Structural Racism and Mass Shooting Events in Major US Cities
title Association Between Markers of Structural Racism and Mass Shooting Events in Major US Cities
title_full Association Between Markers of Structural Racism and Mass Shooting Events in Major US Cities
title_fullStr Association Between Markers of Structural Racism and Mass Shooting Events in Major US Cities
title_full_unstemmed Association Between Markers of Structural Racism and Mass Shooting Events in Major US Cities
title_short Association Between Markers of Structural Racism and Mass Shooting Events in Major US Cities
title_sort association between markers of structural racism and mass shooting events in major us cities
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357360/
https://www.ncbi.nlm.nih.gov/pubmed/37466952
http://dx.doi.org/10.1001/jamasurg.2023.2846
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