Modeling the association of structural racism with disparities in firearm homicide victimization

GVPedia Study Database

Modeling the association of structural racism with disparities in firearm homicide victimization

Category: Homicide|Journal: Injury Prevention|Author: A Adhia, A Ellyson, A Rowhani-Rahbar, B Mills, K Conrick, M Haviland, V Lyons|Year: 2021

Statement of Purpose

Research on the association between individual measures of structural racism (e.g., residential segregation) and racial disparities in firearm homicide often includes the proportion Black population as a covariate. However, including proportion Black as a covariate may imply that race—not racism—is a risk factor for firearm homicide disparities. This study’s goal is to identify a better approach to including measures of structural racism when studying racial disparities in firearm homicide.

 

Methods/Approach

We examined the associations of four indicators for structural racism (poverty, educational attainment, labor force participation (LFP), and arrests for index crimes) with state-level Black-White disparities in age-adjusted firearm homicide victimization rates in the U.S. 2010–2019. Disparities in each indicator were defined as ratios of race-specific rates (Black/White). Ordinary least squares regression coefficients and measures of model fit were obtained to examine the association between indicator variables and racial disparities in firearm homicide. To compare the fit of models including proportion Black to those using an indicator-level disparity, we used four models: 1) absolute indicator rate; 2) absolute indicator rate and proportion Black; 3) absolute indicator rate and Black-White rate disparity; 4) absolute indicator rate, proportion Black, and Black-White rate disparity.

 

Results

For all four indicators, the optimal model included the absolute rate and Black-White rate disparity and did not include proportion Black. Coefficients for the Black-White indicator-level disparity were statistically significant, while proportion Black was not statically significant.

 

Conclusions

The inclusion of proportion Black does not contribute further to the explanation of firearm homicide disparities and should not be included since improved measures of structural racism are available (e.g., Black-White rate disparity).

 

Significance

This study presents a novel approach to including measures of structural racism into research on firearm homicide disparities, consistent with a focus on racism rather than race as a determinant of violence.

Share