Literature DB >> 35916384

Recommendations for Using Causal Diagrams to Study Racial Health Disparities.

Chanelle J Howe1, Zinzi D Bailey2,3, Julia R Raifman4, John W Jackson5,6,7.   

Abstract

There have been calls for race to be denounced as a biological variable and for a greater focus on racism, instead of solely race, when studying racial health disparities in the United States. These calls are grounded in extensive scholarship and the rationale that race is not a biological variable, but instead socially constructed, and that structural/institutional racism is a root cause of race-related health disparities. However, there remains a lack of clear guidance for how best to incorporate these assertions about race and racism into tools, such as causal diagrams, that are commonly used by epidemiologists to study population health. We provide clear recommendations for using causal diagrams to study racial health disparities that were informed by the calls. These recommendations consider a health disparity to be a difference in a health outcome that is related to social, environmental, or economic disadvantage. We present simplified causal diagrams to illustrate how to implement our recommendations. These diagrams can be modified based on the health outcome and hypotheses, or for other group-based differences in health also rooted in disadvantage (e.g., gender). Implementing our recommendations may lead to the publication of more rigorous and informative studies of racial health disparities.
© The Author(s) 2022. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  epidemiologic methods; health status disparities; race relations; racism

Year:  2022        PMID: 35916384     DOI: 10.1093/aje/kwac140

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   5.363


  1 in total

1.  Understanding the role of structural racism in sleep disparities: a call to action and methodological considerations.

Authors:  Dayna A Johnson; Benjamin Reiss; Philip Cheng; Chandra L Jackson
Journal:  Sleep       Date:  2022-10-10       Impact factor: 6.313

  1 in total

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