4.6 Editorial Material

Methods for prospectively incorporating gender into health sciences research

期刊

JOURNAL OF CLINICAL EPIDEMIOLOGY
卷 129, 期 -, 页码 191-197

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jclinepi.2020.08.018

关键词

Gender-related variables; Sex and gender-based analysis; Population health; Health equity

资金

  1. GENDER-NET Plus ERA-NET Initiative [GNP-78]
  2. Canadian Institutes of Health Research [GNP-161904]
  3. La Caixa Foundation [LCF/PR/DE18/52010001]
  4. Swedish Research Council [2018-00932]
  5. Austrian Science Fund (FWF) [I 4209]
  6. Scientific Independence of Young Researcher Program of the Italian Ministry of University, Education and Research [RBSI14HNVT]

向作者/读者索取更多资源

Numerous studies have shown the impact of sex and gender on health, and researchers are called upon to incorporate gender into their studies; with no standardized definition of gender, researchers should select specific measurable gender-related variables based on relevance; incorporating gender prospectively into research is essential, with various methods available for study design and statistical analysis.
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. (C) 2020 Elsevier Inc. All rights reserved.

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