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A Multidimensional Approach to Measure Structural Racism and Its Association with Fatal and Nonfatal Community
Loren L Adams1, Rashelle J Musci2, Vanya Jones2
1Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA. Ladams46@alumni.jh.edu.
Summary
Structural racism significantly impacts health inequities. This study developed a multidimensional measure of structural racism (MMSR) at the census tract level in NYC, finding disadvantaged profiles were linked to higher firearm violence rates.
Area of Science:
- Public Health
- Sociology
- Urban Studies
Background:
- Structural racism is a key driver of health disparities.
- Previous measures of structural racism often used single indicators or large geographic areas.
- There is a need to understand structural racism's multidimensionality at a granular level, like census tracts.
Purpose of the Study:
- To develop and validate a multidimensional measure of structural racism (MMSR) at the census tract level in New York City.
- To examine the association between different profiles of structural racism and community firearm violence.
- To capture the heterogeneity of structural racism across small geographic areas.
Main Methods:
- A latent profile model was employed using indicators from criminal justice, economic status, education, employment, and housing/segregation domains.
- Data were collected for 2219 NYC census tracts between 2018-2022.
- The MMSR's association with fatal and nonfatal community firearm violence was assessed using statistical tests.
Main Results:
- Five distinct multidimensional structural racism profiles were identified in NYC.
- Three profiles were characterized as disadvantaged (higher Black populations, lower income) and two as advantaged.
- Disadvantaged structural racism profiles were significantly associated with higher rates of community firearm violence.
Conclusions:
- Structural racism is complex and varies significantly even at the census tract level.
- The developed MMSR effectively captures this complexity and its association with violence.
- Understanding these granular patterns is crucial for addressing health inequities and violence.
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