Ontology highlight
ABSTRACT: Introduction
We aimed to construct a parsimonious risk prediction model of 10-year cognitive decline and impairment using factors measured in midlife.Methods
Longitudinal data of N = 1,529 (mean age 49 years; 54% women) Beaver Dam Offspring Study participants were included. We assessed several health measures at baseline and 10-year cognitive decline and cognitive impairment. We constructed Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression models.Results
The top cognitive decline predictors (age, income, fine-motor skills, olfaction, peripheral artery disease, and serum neurofilament light chain protein [NfL]) and cognitive impairment predictors (sex, fine-motor skills, olfaction, self-rated vision, alcohol consumption, and NfL) yielded are
SUBMITTER: Merten N
PROVIDER: S-EPMC12930225 | biostudies-literature | 2026 Feb
REPOSITORIES: biostudies-literature