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Updated: Oct 7, 2025

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
Published on: May 10, 2019
Structural Racism and Quantitative Causal Inference: A Life Course Mediation Framework for Decomposing Racial Health
Nick Graetz1,2, Courtney E Boen2, Michael H Esposito3
1Princeton University, Princeton, NJ, USA.
This study introduces a new counterfactual framework to analyze how racism dynamically impacts health over time. It quantifies racial health disparities by examining the effects of racial discrimination and emergent discrimination.
Area of Science:
- Social Epidemiology
- Health Disparities Research
- Quantitative Social Sciences
Background:
- Traditional studies of racial health disparities often rely on static race measures, which conflict with social theories of race and racism.
- Existing methods may not fully capture the dynamic, systemic nature of how race and racism influence health outcomes over time.
Purpose of the Study:
- To propose and demonstrate a counterfactual framework for analyzing dynamic racial health inequities.
- To operationalize 'race' as a social process shaped by racism, rather than a fixed individual characteristic.
- To decompose racial disparities in cardiometabolic risk into distinct components attributable to racism.
Main Methods:
- Utilized a counterfactual approach to model time-varying confounding and mediation.
- Examined racial inequities in cardiometabolic risk using data from the National Longitudinal Study of Adolescent to Adult Health.
- Decomposed observed disparities into controlled direct effects (unobserved racism), interaction effects (racial discrimination), and pure indirect effects (emergent discrimination).
Main Results:
- The study demonstrates a novel method to quantify the dynamic influence of racism on health disparities.
- The framework allows for the decomposition of racial inequities into specific types of discriminatory effects.
- Findings highlight the complex interplay of systemic factors in producing racial health inequities.
Conclusions:
- Counterfactual approaches, when combined with critical theories, offer a powerful tool for quantifying the impact of interlocking systems on racial health inequities.
- This framework moves beyond static measures to capture the dynamic nature of race and racism in health research.
- The study provides a quantitative method to understand how racism, racial discrimination, and emergent discrimination contribute to health disparities.
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