Evaluating sex and gender as separate and interactive predictors of memory aging trajectory classes: an integrative data-driven approach | Synapse
March 12, 2026Open Access
Evaluating sex and gender as separate and interactive predictors of memory aging trajectory classes: an integrative data-driven approach
Key Points
The aim is to determine how biological sex and gender influence memory aging trajectories over time.
Utilized data-driven analyses to assess memory trajectory patterns over 42 years.
Included variables such as biological sex and measurable facets of gender.
Focused on a population of cognitively unimpaired individuals.
Identified differential contributions of sex and gender to memory aging patterns.
Revealed distinct trajectory classes linked to sex and gender factors.
Abstract
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.