Validating the Stanford Gender-Related Variables for Health Research (SGVHR) in a Canadian population
Bibliographic Data
| ID | 7844225 |
|---|---|
| Authors | Ahmed Abdel-Sayyed (0009-0004-6027-1539, Department of Psychiatry, University of Alberta, Canada), Kim Ngan Hoang (0000-0002-0409-8688, Department of Psychiatry, University of Alberta, Canada), T Turk (0000-0002-9457-216X, Department of Psychiatry, University of Alberta, Canada), Lujie Xu (0000-0003-1703-0313, Department of Psychiatry, University of Alberta, Canada), Emiko Fujiwara (0000-0003-4154-0145, Department of Psychiatry, University of Alberta, Canada) |
| Year | 2025 |
| Volume | 30 |
| Issue | 7 |
| Pages | 1460-1475 |
| Publication date | 2025-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Health Psychology (JOURNAL) |
| Journal identifiers | ISSN: 1359-1053 • E-ISSN: 1461-7277 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/13591053241247376 |
| PMID | 38654542 |
| OpenAlex | W4395078373 |
| Language | EN |
| Citations received | 1 |
| References cited | 32 |
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
Confirmatory factor analysis · Developmental psychology · Environmental health · Generalizability theory · Geography · Inclusion (mineral · Metric (unit · Population · Regression analysis · Scale (ratio · Sociology · Structural equation modeling · Test (biology · Diversity and Career in Medicine · Gender Roles and Identity Studies · Medicine · Psychology · Sex and Gender in Healthcare · Clinical Psychology · Demography · Gerontology · Social Psychology
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Measuring gender when you don’t have a gender measure
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Recruiting large online samples in the United States and India
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |