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A framework to analyse gender bias in epidemiological research

Publication type
journal article
Publication date
2007
Author(s)
Ruiz-Cantero, M.T.
Vives-Cases, C.
Artazcoz, L.
Delgado, A.
Calvente, M.D.M.G.
more
Language
English
Keywords

Analytic Method

Articles

Controlled Study

Design

Epidemiology

Female

Health Care

Humans

Male

Measurement Method

Research

Sampling Bias

Sensitivity Analysis

Sex Difference

Sexism

Social Support

Gender Issues

Discipline(s)

Epidemiology

Abstract
The design and analysis of research may cause systematic gender dependent errors to be produced in results because of gender insensitivity or androcentrism. Gender bias in research could be defined as a systematically erroneous gender dependent approach related to social construct, which incorrectly regards women and men as similar/different. Most gender bias can be found in the context of discovery (development of hypotheses), but it has also been found in the context of justification (methodological process), which must be improved. In fact, one of the main effects of gender bias in research is partial or incorrect knowledge in the results, which are systematically different from the real values.This paper discusses some forms of conceptual and methodological bias that may affect women's health. It proposes a framework to analyse gender bias in the design and analysis of research carried out on women's and men's health problems, and on specific women's health issues.Using examples, the framework aims to show the different theoretical perspectives in a social or clinical research context where forms of selection, measurement and confounding bias are produced as a result of gender insensitivity. Finally, this paper underlines the importance of reexamining results so that they may be reinterpreted to produce new gender based knowledge.
Journal
Journal of Epidemiology and Community Health
ISSN
0143-005X
DOI
10.1136/jech.2007.062034
Volume
61
Issue
SUPPL. 2
Pagination
ii46-ii53
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-36749079968&doi=10.1136%2fjech.2007.062034&partnerID=40&md5=e7f4fa15785afbd627fd15e086eed4fa
https://libkey.io/libraries/2561/articles/36834851/full-text-file?utm_source=api_2667&allow_speedbump=true
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