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dc.contributor.authorCostco, Ten
dc.contributor.authorStephan, Blossomen
dc.contributor.authorBrayne, Carolen
dc.contributor.authorMuniz, Gen
dc.date.accessioned2017-05-15T09:08:01Z
dc.date.available2017-05-15T09:08:01Z
dc.identifier.issn0714-9808
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/264223
dc.description.abstractAs 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.
dc.language.isoenen
dc.publisherCambridge University Press
dc.subjectagingen
dc.subjectsuccessful agingen
dc.subjectgrowth mixture modellingen
dc.subjecthealthy agingen
dc.subjecteducational statusen
dc.titleEducation and Successful Aging Trajectories: A Longitudinal Population-Based Latent Variable Modelling Analysisen
dc.typeArticle
prism.publicationNameCanadian Journal on Agingen
dc.identifier.doi10.17863/CAM.9629
dcterms.dateAccepted2017-02-25en
rioxxterms.versionofrecord10.1017/S0714980817000344en
rioxxterms.versionAMen
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2017-02-25en
dc.contributor.orcidBrayne, Carol [0000-0001-5307-663X]
dc.identifier.eissn1710-1107
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idMRC (G9901400)
pubs.funder-project-idMRC (G0601022)
cam.issuedOnline2017-10-11en


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