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dc.contributor.authorHerrero Ezquerro, María Trinidad-
dc.contributor.authorTadiri, Christina P.-
dc.contributor.authorRaparelli, Valeria-
dc.contributor.authorAbrahamowicz, Michal-
dc.contributor.authorKautzky-Willer, Alexandra-
dc.contributor.authorKublickiene, Karolina-
dc.contributor.authorNorris, Colleen M.-
dc.contributor.authorPilote, Louise-
dc.date.accessioned2024-02-09T12:16:50Z-
dc.date.available2024-02-09T12:16:50Z-
dc.date.issued2020-09-24-
dc.identifier.citationJournal of Clinical Epidemiology, N 129, Año (2021) 191-197es
dc.identifier.urihttp://hdl.handle.net/10201/139125-
dc.description©<2020>. This manuscript version is made available under the CC BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Submitted, Accepted, Published, version of a Published Work that appeared in final form in Journal of Clinical Epidemiology. To access the final edited and published work see https://doi.org/10.1016/j.jclinepi.2020.08.018es
dc.description.abstractNumerous studies have demonstrated that sex (a biological variable) and gender (a psychosocial construct) impact health and have dis-cussed the mechanisms that may explain these relationships. Funding agencies have called for all health researchers to incorporate sex andgender into their studies; however, the way forward has been unclear to many, particularly due to the varied definition of gender. We arguethat just as there is no standardized definition of gender, there can be no standardized measurement thereof. However, numerous measurablegender-related variables may influence individual or population-level health through various pathways. The initial question should guide theselection of specific gender-related variables based on their relevance to the study, to prospectively incorporate gender into research. Weoutline various methods to provide clarification on how to incorporate gender into the design of prospective clinical and epidemiologicalstudies as well as methods for statistical analysises
dc.formatapplication/pdfes
dc.format.extent7es
dc.languageenges
dc.publisherElsevieres
dc.relationFunding: The GOING-FWD Consortium is funded by the GENDER--NET Plus ERA-NET Initiative (project ref. number: GNP-78): The Cana-dian Institutes of Health Research (GNP-161904), La Caixa Foundation(LCF/PR/DE18/52010001), The Swedish Research Council(2018-00932), and The Austrian Science Fund (FWF, I 4209). V.R. isfunded by the Scientific Independence of Young Researcher Program ofthe Italian Ministry of University, Education and Research(RBSI14HNVT).es
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectGender-related variableses
dc.subjectSex and gender-based analysises
dc.subjectPopulation healthes
dc.subjectHealth equityes
dc.subject.otherCDU::6 - Ciencias aplicadas::61 - Medicinaes
dc.titleMethods for prospectively incorporating gender into health sciences researches
dc.typeinfo:eu-repo/semantics/articlees
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0895435620311045?via%3Dihubes
dc.identifier.doihttps://doi.org/10.1016/j.jclinepi.2020.08.018-
Aparece en las colecciones:Artículos: Anatomía Humana y Psicobiología

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