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

Lookup NU author(s): Professor Bloss Stephan, Professor Carol Brayne

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Abstract

Copyright © Canadian Association on Gerontology 2017 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.

Publication metadata

Author(s): Cosco TD, Stephan BCM, Brayne C, Muniz G

Publication type: Article

Publication status: Published

Journal: Canadian Journal on Aging

Year: 2017

Volume: 36

Issue: 4

Pages: 427-434

Print publication date: 01/12/2017

Online publication date: 11/10/2017

Acceptance date: 25/02/2017

ISSN (print): 0714-9808

ISSN (electronic): 1710-1107

Publisher: Cambridge University Press

URL: https://doi.org/10.1017/S0714980817000344

DOI: 10.1017/S0714980817000344

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