Open AccessIntegrating Three Characteristics of Executive Function in Non-Demented Aging: Trajectories, Classification, and Biomarker Predictors
Author(s) -
H Sebastian Caballero,
G. Peggy McFall,
Sandra A. Wiebe,
Roger A. Dixon
Publication year - 2020
Publication title -
journal of the international neuropsychological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 127
eISSN - 1469-7661
pISSN - 1355-6177
DOI - 10.1017/s1355617720000703
Subject(s) - neuropsychology , longitudinal study , trajectory , psychology , cognition , biomarker , gerontology , sample (material) , cognitive decline , body mass index , demography , physical medicine and rehabilitation , medicine , statistics , dementia , mathematics , neuroscience , biology , biochemistry , physics , chemistry , disease , chromatography , astronomy , sociology
With longitudinal executive function (EF) data from the Victoria Longitudinal Study, we investigated three research goals pertaining to key characteristics of EF in non-demented aging: (a) examining variability in EF longitudinal trajectories, (b) establishing trajectory classes, and (c) identifying biomarker predictors discriminating these classes.