Subjective memory concerns, poor vascular health, and male sex predict exacerbated memory decline trajectories: An integrative data-driven class and prediction analysis.

ABSTRACT:

Objective

Subjective memory decline (SMD) has been identified as a potential early marker of nonnormal and accelerated cognitive decline. We performed data-driven analyses that integrated trajectory classification with prediction modeling to test declining trajectory class prediction by SMD facets, pulse pressure (PP; i.e., a robust proxy for vascular health), and sex.

Method

The longitudinal design featured memory trajectories across a 40-year band (55-95 years) of nondemented aging (N = 580; M_age = 70.2 years; 65% female) from the Victoria Longitudinal Study. First, latent class growth analyses identified distinct classes of memory trajectories. Second, we used the three-step method (R3STEP) to predict membership in the declining memory classes usi

SUBMITTER: Drouin SM 

PROVIDER: S-EPMC9991483 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature