"We adjusted for race" now what: A systematic review of utilization and reporting of race in AJE and Epidemiology, 2020-2021

Authors

Monica E. Swilley-Martinez, Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC; Injury Prevention Research Center, University of North Carolina, Chapel Hill, NC
Serita A. Coles, Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC
Vanessa E. Miller, Injury Prevention Research Center, University of North Carolina, Chapel Hill, NC
Ishrat Z. Alam, Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC; Injury Prevention Research Center, University of North Carolina, Chapel Hill, NC
Kate Vinita Fitch, Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC; Injury Prevention Research Center, University of North Carolina, Chapel Hill, NC
Theresa H. Cruz, Prevention Research Center, Department of Pediatrics, Health Sciences Center, University of New Mexico
Bernadette Hohl, Penn Injury Science Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
Regan Murray, Center for Public Health and Technology, Department of Health, Human Performance and Recreation, University of Arkansas
Shabbar I. Ranapurwala, Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC; Injury Prevention Research Center, University of North Carolina, Chapel Hill, NC

Document Type

Article

Publication Date

10-3-2023

Abstract

Race is a social construct, commonly used in epidemiologic research to adjust for confounding. However, adjustment of race may mask racial disparities thereby perpetuating structural racism. We conducted a systematic review of articles published in Epidemiology and American Journal of Epidemiology between 2020 and 2021 to 1) understand how race, ethnicity, and similar social constructs were operationalized, utilized, and reported and 2) characterize good and poor practices of utilization and reporting of race data based on the extent to which they reveal or mask systemic racism. Original research articles were considered for full review and data extraction if race data were used in the study analysis. We extracted how race was categorized; utilized - as descriptor, confounder, or for effect measure modification (EMM); and reported - if the authors discussed racial disparities and systemic bias-related mechanisms responsible for perpetuating the disparities. Of the 561 articles, 299 had race data available and 192 (34.2%) used race data in analyses. Among the 160 United States-based studies, 81 different racial categorizations were used. Race was most often utilized as a confounder (52%), followed by effect measure modifier (33%), and descriptive variable (12%). Fewer than one in four articles (22.9%) exhibited good practices (EMM along with discussing disparities and mechanisms), 63.5% of the articles exhibited poor practices (confounding only or not discussing mechanisms), and 13.5% were considered neither poor nor good practices. We discuss implications and provide 13 recommendations for operationalization, utilization, and reporting of race in epidemiologic and public health research.

Publication Title

Epidemiologic reviews

ISSN

1478-6729

DOI

10.1093/epirev/mxad010

Language (ISO)

English

Recommended Citation

Swilley-Martinez ME, Coles SA, Miller VE, Alam IZ, Fitch KV, Cruz TH, Hohl B, Murray R, Ranapurwala SI. "We adjusted for race" now what: A systematic review of utilization and reporting of race in AJE and Epidemiology, 2020-2021. Epidemiol Rev. 2023 Oct 3:mxad010. doi: 10.1093/epirev/mxad010. Epub ahead of print. PMID: 37789703.