Evaluating sex and gender as separate and interactive predictors of memory aging trajectory classes: an integrative data-driven approach
Data-driven analyses show that biological sex and measurable facets of gender differentially contribute to memory trajectory patterns over a 42-year span of cognitively unimpaired aging.
Authors
- Harrison Fah
- Linzy Bohn (ORCID: https://orcid.org/0000-0002-9412-1422)
- Gillian Einstein (ORCID: https://orcid.org/0000-0002-0770-5471)
- M. Natasha Rajah
- Roger A. Dixon
- Paige Vandenberg
Institutions
- University of Alberta (CA)
- University of Toronto (CA)
- Douglas Mental Health University Institute (CA)
- Baycrest Hospital (CA)
- Women and Children’s Health Research Institute (CA)
- McGill University (CA)
- Toronto Metropolitan University (CA)
Publication Details
- Journal
- Biology of Sex Differences
- Published
- 2026-03-09
- DOI
- https://doi.org/10.1186/s13293-026-00864-2
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00