Methods for prospectively incorporating gender into health sciences research.
Gender-related variables
Health equity
Population health
Sex and gender-based analysis
Journal
Journal of clinical epidemiology
ISSN: 1878-5921
Titre abrégé: J Clin Epidemiol
Pays: United States
ID NLM: 8801383
Informations de publication
Date de publication:
01 2021
01 2021
Historique:
received:
26
06
2020
revised:
27
07
2020
accepted:
15
08
2020
pubmed:
28
9
2020
medline:
7
9
2021
entrez:
27
9
2020
Statut:
ppublish
Résumé
Numerous studies have demonstrated that sex (a biological variable) and gender (a psychosocial construct) impact health and have discussed the mechanisms that may explain these relationships. Funding agencies have called for all health researchers to incorporate sex and gender into their studies; however, the way forward has been unclear to many, particularly due to the varied definition of gender. We argue that just as there is no standardized definition of gender, there can be no standardized measurement thereof. However, numerous measurable gender-related variables may influence individual or population-level health through various pathways. The initial question should guide the selection of specific gender-related variables based on their relevance to the study, to prospectively incorporate gender into research. We outline various methods to provide clarification on how to incorporate gender into the design of prospective clinical and epidemiological studies as well as methods for statistical analysis.
Identifiants
pubmed: 32980428
pii: S0895-4356(20)31104-5
doi: 10.1016/j.jclinepi.2020.08.018
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
191-197Subventions
Organisme : Austrian Science Fund FWF
ID : I 4209
Pays : Austria
Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.