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Methods for prospectively incorporating gender into health sciences research
Christina P Tadiri1, Valeria Raparelli2, Michal Abrahamowicz1
1Research Institute of McGill University Health Centre, Division of Clinical Epidemiology McGill University, Montréal, Quebec, Canada.
Sex and gender significantly impact health outcomes. This study provides a framework for incorporating measurable gender-related variables into health research, addressing challenges in definition and measurement for better clinical and epidemiological studies.
Area of Science:
- Health Research Methodology
- Social Determinants of Health
- Clinical Epidemiology
Background:
- Sex and gender are recognized as crucial factors influencing health outcomes.
- Despite calls from funding agencies, integrating sex and gender into research remains challenging due to varied definitions and measurement approaches.
- A clear methodology is needed to guide researchers in incorporating these variables.
Purpose of the Study:
- To provide a practical framework for incorporating gender into health research design.
- To clarify methods for selecting and measuring gender-related variables relevant to specific research questions.
- To guide the statistical analysis of gender in prospective clinical and epidemiological studies.
Main Methods:
- The study proposes a conceptual approach to defining and measuring gender-related variables.
- It emphasizes aligning variable selection with the specific research question to ensure relevance.
- Methods for prospective study design and statistical analysis incorporating gender are outlined.
Main Results:
- Measurable gender-related variables can be identified and incorporated into health research.
- A systematic approach can guide the selection of relevant gender variables based on the research question.
- The study offers practical guidance for the design and analysis of studies including gender.
Conclusions:
- Incorporating gender into health research is feasible through careful selection of measurable variables.
- The proposed methods facilitate the integration of gender into prospective studies and statistical analyses.
- This work aims to enhance the rigor and applicability of health research by accounting for gender's influence.
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