Literature DB >> 22900633

Concepts of race and ethnicity among health researchers: patterns and implications.

Roberta D Baer1, Erika Arteaga, Karen Dyer, Aimee Eden, Rosalyn Gross, Hannah Helmy, Margaret Karnyski, Airia Papadopoulos, Doug Reeser.   

Abstract

OBJECTIVES: This study adds to the discussion of appropriate categories of analysis in health research. We contribute data based on actual interviews about the concepts of race and ethnicity, conducted among a broad range of US health researchers.
DESIGN: In-person qualitative interviews were conducted with 73 scientists at two health research institutions, one that focused on public health research, and one that focused on research about a specific disease. This represents a larger and more interdisciplinary sample of health researchers than has been previously interviewed about these topics.
RESULTS: We identify a core model of how race and ethnicity are understood. The respondents were confused about the concepts of race and ethnicity and their link to genetic differences between populations; many treated these concepts as interchangeable and genetically based. Although ethnicity was considered somewhat more socially constructed, it was often felt to cause unhealthy behavior. In addition, the situation is not improving; the younger health researchers tended to put a stronger emphasis on the genetic aspects of race than did the older health researchers.
CONCLUSION: Unlike reviews of how these concepts are used in scientific publications in which race and ethnicity are often undefined, our face-to-face interviews with these researchers allowed an understanding of their concepts of race and ethnicity. Building on their actual perspectives, these data suggest alternative approaches to formal and continuing educational training for health researchers. We recommend beginning with discussions of human diversity, and then moving on to what race and ethnicity are - and are not.

Entities:  

Mesh:

Year:  2012        PMID: 22900633     DOI: 10.1080/13557858.2012.713091

Source DB:  PubMed          Journal:  Ethn Health        ISSN: 1355-7858            Impact factor:   2.772


  4 in total

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Authors:  Mwenza Blell; M A Hunter
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3.  Feasibility of an Assessment Tool as a Data-Driven Approach to Reducing Racial Bias in Biomedical Publications.

Authors:  Siobhan Wescott; Ronn Johnson; Sangeeta Lamba; Devon Olson; Yolanda Haywood; Carolyn C Meltzer; Ricardo Correa
Journal:  J Med Syst       Date:  2021-12-17       Impact factor: 4.460

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Journal:  Int J Circumpolar Health       Date:  2013-11-22       Impact factor: 1.228

  4 in total

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