期刊
FRONTIERS IN PUBLIC HEALTH
卷 10, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fpubh.2022.1007053
关键词
structural racism; COVID-19 mortality; geographic inequality; racial inequality; health and mortality; measurement
资金
- National Institute on Aging [T32 AG00129, 2R24AG045061-06, P30 AG034424]
This study contributes to the literature by empirically examining the role of place-based structural racism in driving racial inequalities in COVID-19 mortality at the state level. The findings show a significant positive relationship between structural racism and Black-White disparities in COVID-19 mortality.
Objective: This study contributes to the literature by empirically testing the extent to which place-based structural racism is a driver of state-level racial inequalities in COVID-19 mortality using theoretically-informed, innovative approaches. Methods: CDC data are used to measure cumulative COVID-19 death rates between January 2020 and August 2022. The outcome measure is a state-level Black-White (B/W) ratio of age-adjusted death rates. We use state-level 2019 administrative data on previously validated indicators of structural racism spanning educational, economic, political, criminal-legal and housing to identify a novel, multi-sectoral latent measure of structural racism (CFI = 0.982, TLI = 0.968, and RMSEA = 0.044). We map B/W inequalities in COVID-19 mortality as well as the latent measure of structural racism in order to understand their geographic distribution across U.S. states. Finally, we use regression analyses to estimate the extent to which structural racism contributes to Black-White inequalities in COVID-19 mortality, net of potential confounders. Results: Results reveal substantial state-level variation in the B/W ratio of COVID-19 death rates and structural racism. Notably, regression estimates indicate that the relationship between the structural racism and B/W inequality in COVID-19 mortality is positive and statistically significant (p < 0.001), both in the bivariate model (adjusted R-2 = 0.37) and net of the covariates (adjusted R-2 = 0.54). For example, whereas states with a structural racism value 2 standard deviation below the mean have a B/W ratio of approximately 1.12, states with a structural racism value 2 standard deviation above the mean have a ratio of just above 2.0. Discussion: Findings suggest that efficacious health equity solutions will require bold policies that dismantle structural racism across numerous societal domains.
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