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种族、族裔和祖籍数据在健康研究中的应用。

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

作者信息

Lu Clara, Ahmed Rabeeyah, Lamri Amel, Anand Sonia S

机构信息

Department of Medicine, McMaster University, Hamilton, Ontario, Canada.

Arts and Science Program, McMaster University, Hamilton, Ontario, Canada.

出版信息

PLOS Glob Public Health. 2022 Sep 15;2(9):e0001060. doi: 10.1371/journal.pgph.0001060. eCollection 2022.

Abstract

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.

摘要

种族、族裔和血统是健康研究中常用的分类变量。然而,对于这些术语的定义尚未达成正式共识,导致研究人员及其读者对这些概念存在误用、混淆和理解不清的情况。本文审视了研究中对种族、族裔和血统过去及当前的理解,明确了这些术语之间的区别,考察了这些术语的可靠性,并为研究人员提供了如何使用这些术语的指导。尽管种族、族裔和血统常常被视为同义词,但在健康研究的背景下,它们应被视为不同的术语。研究人员应仔细考虑哪个术语最适合其研究,始终如一地定义和使用这些术语,并考虑其他人未来的研究可能如何使用其分类。只要有可能,分类应由自我报告而非由观察者指定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c978/10022242/aedc389fcecf/pgph.0001060.g001.jpg

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