Predictors of cognitive change in older persons: MacArthur studies of successful aging.
This study used a linear structural relations modeling technique (LISREL) to examine longitudinal data for 1,192 persons from a community-based population. The goal was to test the ability of an a priori model to predict cognitive change over a 2.0- to 2.5-year period in older adults aged 70-79 at the initial evaluation. The model included 22 demographic, physical, and psychosocial variables as predictors of cognitive function and cognitive change. The study used an exploratory-confirmatory design, enabling cross-validation of the model developed in the exploratory set in the confirmatory sample. Structural equation modeling analyses identified 4 endogenous model variable (education, strenuous activity, peak pulmonary expiratory flow rate, and self-efficacy) as direct predictors of cognitive change over the study period.
Albert
M S
MS
Department of Psychiatry and Neurology, Massachusetts General Hospital, Harvard Medical School, USA.
Jones
K
K
Savage
C R
CR
Berkman
L
L
Seeman
T
T
Blazer
D
D
Rowe
J W
JW
D000368:Aged; D003071:Cognition; D015331:Cohort Studies; D004522:Educational Status; D005260:Female; D015577:Geriatric Assessment; D006801:Humans; D008297:Male; D009483:Neuropsychological Tests / Q000706:statistics & numerical data*; D010809:Physical Fitness / Q000523:psychology; D011788:Quality of Life; D012016:Reference Values; D012649:Self Concept