4.5 Editorial Material

How do we assess a racial disparity in health? Distribution, interaction, and interpretation in epidemiological studies

期刊

ANNALS OF EPIDEMIOLOGY
卷 29, 期 -, 页码 1-7

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.annepidem.2018.09.007

关键词

Health disparities; Interaction; Interpretation; Modification; Race; Regression

资金

  1. National Institute on Minority Health and Health Disparities [R01 MD011680]
  2. National Institute of Child Health and Human Development at the National Institutes of Health [T32HD007168]
  3. National Cancer Institute at the National Institutes of Health [K01CA172717]
  4. National Institute on Alcohol Abuse and Alcoholism at the National Institutes of Health [K01AA021511]
  5. EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT [T32HD007168, P2CHD050924] Funding Source: NIH RePORTER
  6. NATIONAL CANCER INSTITUTE [K01CA172717] Funding Source: NIH RePORTER
  7. NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM [K01AA021511] Funding Source: NIH RePORTER
  8. National Institute on Minority Health and Health Disparities [R01MD011680] Funding Source: NIH RePORTER

向作者/读者索取更多资源

Identifying the exposures or interventions that exacerbate or ameliorate racial health disparities is one of the fundamental goals of social epidemiology. Introducing an interaction term between race and an exposure into a statistical model is commonly used in the epidemiologic literature to assess racial health disparities and the potential viability of a targeted health intervention. However, researchers may attribute too much authority to the interaction term and inadvertently ignore other salient information regarding the health disparity. In this article, we highlight empirical examples from the literature demonstrating limitations of overreliance on interaction terms in health disparities research; we further suggest approaches for moving beyond interaction terms when assessing these disparities. We promote a comprehensive framework of three guiding questions for disparity investigation, suggesting examination of the group-specific differences in (1) outcome prevalence, (2) exposure prevalence, and (3) effect size. Our framework allows for better assessment of meaningful differences in population health and the resulting implications for interventions, demonstrating that interaction terms alone do not provide sufficient means for determining how disparities arise. The widespread adoption of this more comprehensive approach has the potential to dramatically enhance understanding of the patterning of health and disease and the drivers of health disparities. (C) 2018 The Authors. Published by Elsevier Inc.

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