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Education and Successful Aging Trajectories: A Longitudinal Population-Based Latent Variable Modelling Analysis

Accepted version
Peer-reviewed

Type

Article

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Authors

Costco, T 
Stephan, B 
Muniz, G 

Abstract

As the population ages, interest is increasing in studying aging well. However, more refined means of examining predictors of biopsychosocial conceptualizations of successful aging (SA) are required. Existing evidence of the relationship between early-life education and later-life SA is unclear. The Successful Aging Index (SAI) was mapped onto the Cognitive Function and Aging Study (CFAS), a longitudinal population-based cohort (n = 1,141). SAI scores were examined using growth mixture modelling (GMM) to identify SA trajectories. Unadjusted and adjusted (age, sex, occupational status) ordinal logistic regressions were conducted to examine the association between trajectory membership and education level. GMM identified a three-class model, capturing high, moderate, and low functioning trajectories. Adjusted ordinal logistic regression models indicated that individuals in higher SAI classes were significantly more likely to have higher educational attainment than individuals in the lower SAI classes. These results provide evidence of a life course link between education and SA.

Description

Keywords

aging, successful aging, growth mixture modelling, healthy aging, educational status

Journal Title

Canadian Journal on Aging

Conference Name

Journal ISSN

0714-9808
1710-1107

Volume Title

Publisher

Cambridge University Press
Sponsorship
Medical Research Council (G9901400)
Medical Research Council (G0601022)
Medical Research Council (G0601022/1)