Use of race, ethnicity, and ancestry data in health research

Race, ethnicity, and ancestry are common classification variables used in health research. However, there has been no formal agreement on the definitions of these terms, resulting in misuse, confusion, and a lack of clarity surrounding these concepts for researchers and their readers. This article e...

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Bibliographic Details
Main Authors: Clara Lu, Rabeeyah Ahmed, Amel Lamri, Sonia S. Anand
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLOS Global Public Health
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022242/?tool=EBI
Description
Summary:Race, ethnicity, and ancestry are common classification variables used in health research. However, there has been no formal agreement on the definitions of these terms, resulting in misuse, confusion, and a lack of clarity surrounding these concepts for researchers and their readers. This article examines past and current understandings of race, ethnicity, and ancestry in research, identifies the distinctions between these terms, examines the reliability of these terms, and provides researchers with guidance on how to use these terms. Although race, ethnicity, and ancestry are often treated synonymously, they should be considered as distinct terms in the context of health research. Researchers should carefully consider which term is most appropriate for their study, define and use the terms consistently, and consider how their classification may be used in future research by others. The classification should be self-reported rather than assigned by an observer wherever possible.
ISSN:2767-3375