A framework to analyse gender bias in epidemiological research

Dados Bibliográficos

ID11179357
AutoresMaria Teresa Ruiz-Cantero, María Teresa Ruiz‐cantero (0000-0001-6724-7866, University of Alicante), Carmen Vives-Cases (0000-0002-6797-5051, University of Alicante), Lucía Artazcoz (0000-0002-6300-5111, Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública), Ana R Delgado (0000-0003-0380-8999, Andalusian School of Public Health), Ana Delgado (0000-0001-9700-0581), María Del Mar García-Calvente (0000-0003-3108-4633, Andalusian School of Public Health), Maria del Mar García Calvente, Consuelo Miqueo, Consuelo Miqueo Miqueo (Universidad de Zaragoza), Isabel Montero (0009-0000-0722-6780, Universitat de València), Rocío Ortiz-Moncada (0000-0001-9179-2530, University of Alicante), Rocío Ortiz, Elena Ronda (0000-0003-1886-466X, University of Alicante), Isabel Ruiz (0000-0002-8195-4943), Isabel Ruiz-Pérez (0000-0002-9565-0502), Carme Valls (0009-0008-1433-3961)
Ano2007
Volume61
FascículoSuppl 2
Páginasii46-ii53
Data de publicação2007-12-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoJournal of Epidemiology and Community Health (JOURNAL)
Identificadores do periódicoISSN: 0143-005X • E-ISSN: 1470-2738
EditoraBMJ (PUBLISHER • GB)
DOI10.1136/jech.2007.062034
PMID18000118
PMCIDPMC2465769
OpenAlexW2146458725
IdiomaEN
Citações recebidas29
Referências citadas42

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 re-examining results so that they may be reinterpreted to produce new gender based knowledge

Data science · Gender bias · Pathology · Adolescent Sexual and Reproductive Health · Epidemiology · Gender Roles and Identity Studies · Medicine · Sex and Gender in Healthcare · Social Psychology