Publications
Education and Successful Aging Trajectories: A Longitudinal Population-Based Latent Variable Modelling Analysis
Category: Journal Articles
People:
Cosco, T., Stephan, B., Brayne, C., & Muniz, G. (2017). Education and Successful Aging Trajectories: A Longitudinal Population-Based Latent Variable Modelling Analysis. Canadian Journal on Aging / La Revue Canadienne Du Vieillissement, 1-8. doi:10.1017/S0714980817000344
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.
- Blog
- Population Horizons Archive (2015-2018)
- Population Horizons - Special Issues & Working Papers
- IARU Newsletter
- Journal of Population Ageing
- Population Horizons Publications
- Books
- Book Chapters
- Journal Articles
- Research Reports & Policy Briefs
- Institute Working Papers
- Papers by members of the Institute's Regional Networks
- Visitors Papers
- Global Ageing Survey Research Reports
- Ageing Horizons
- Presentations & Posters
- Factsheets