RESUMO
In addition to biological sex, the impact of gender on health outcomes is now well-recognized. Gender norms are changing rapidly, demanding contemporary gender assessment tools. This study sought to validate the recent US-based Stanford Gender-Related Variables for Health Research (SGVHR) scale in Canada. We also aimed to improve gender prediction by including socio-demographic information on education, income and occupations. We recruited 2445 Canadian online participants (~50% female; mean age: 49.3). Multigroup confirmatory factor analyses confirmed the SGVHR factor structure in our sample, indicating its generalizability beyond the USA. Regression analyses indicated that the SGVHR subscales were moderately predictive of self-reported gender. Incorporating socio-demographic factors Significantly enhanced gender prediction via the SGVHR. This study underscores the SGVHR's applicability in diverse Western populations and encourages the inclusion of easily accessible sociodemographic variables to approximate a gender metric. Future studies should test the health-relevance of such indicators along with the SGVHR.