Literature DB >> 22472116

Is cognitive aging predicted by one's own or one's parents' educational level? results from the three-city study.

M Maria Glymour1, Christophe Tzourio, Carole Dufouil.   

Abstract

The authors examined the associations of participants' and their parents' educational levels with cognitive decline while addressing methodological limitations that might explain inconsistent results in prior work. Residents of Dijon, France (n = 4,480) 65 years of age or older who were enrolled between 1999 and 2001 were assessed using the Isaacs' verbal fluency test, Benton Visual Retention Test, Trail Making Test B, and Mini-Mental State Examination up to 5 times over 9 years. The authors used random-intercepts mixed models with inverse probability weighting to account for differential survival (conditional on past performance) and quantile regressions to assess bias from measurement floors or ceilings. Higher parental educational levels predicted better average baseline performances for all tests but a faster average decline in score on the Isaacs' test. Higher participant educational attainment predicted better baseline performances on all tests and slower average declines in Benton Visual Retention Test, Trail Making Test B, and Mini-Mental State Examination scores. Slope differences were generally small, and most were not robust to alternative model specifications. Quantile regressions suggested that ceiling effects might have modestly biased effect estimates, although the direction of this bias might depend on the test instrument. These findings suggest that the possible impacts of educational experiences on cognitive change are small, domain-specific, and potentially incorrectly estimated in conventional analyses because of measurement ceilings.

Entities:  

Mesh:

Year:  2012        PMID: 22472116      PMCID: PMC3491976          DOI: 10.1093/aje/kwr509

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  36 in total

1.  Prefrontal regions supporting spontaneous and directed application of verbal learning strategies: evidence from PET.

Authors:  C R Savage; T Deckersbach; S Heckers; A D Wagner; D L Schacter; N M Alpert; A J Fischman; S L Rauch
Journal:  Brain       Date:  2001-01       Impact factor: 13.501

2.  Normative data for clustering and switching on verbal fluency tasks.

Authors:  A K Troyer
Journal:  J Clin Exp Neuropsychol       Date:  2000-06       Impact factor: 2.475

3.  Age is no kinder to the better educated: absence of an association investigated using latent growth techniques in a community sample.

Authors:  H Christensen; S M Hofer; A J Mackinnon; A E Korten; A F Jorm; A S Henderson
Journal:  Psychol Med       Date:  2001-01       Impact factor: 7.723

Review 4.  Methodological challenges in causal research on racial and ethnic patterns of cognitive trajectories: measurement, selection, and bias.

Authors:  M Maria Glymour; Jennifer Weuve; Jarvis T Chen
Journal:  Neuropsychol Rev       Date:  2008-09-26       Impact factor: 7.444

5.  Education and Cognitive Decline in Older Americans: Results From the AHEAD Sample.

Authors:  Dawn Alley; Kristen Suthers; Eileen Crimmins
Journal:  Res Aging       Date:  2007-01-01

6.  Education and occupation as risk factors for dementias of the Alzheimer and ischemic vascular types.

Authors:  K F Mortel; J S Meyer; B Herod; J Thornby
Journal:  Dementia       Date:  1995 Jan-Feb

Review 7.  Education and the prevalence of dementia and Alzheimer's disease.

Authors:  R Katzman
Journal:  Neurology       Date:  1993-01       Impact factor: 9.910

8.  Trajectories of cognitive function in late life in the United States: demographic and socioeconomic predictors.

Authors:  Arun S Karlamangla; Dana Miller-Martinez; Carol S Aneshensel; Teresa E Seeman; Richard G Wight; Joshua Chodosh
Journal:  Am J Epidemiol       Date:  2009-07-15       Impact factor: 4.897

9.  The association of education and socioeconomic status with the Mini Mental State Examination and the clinical diagnosis of dementia in elderly people.

Authors:  C Brayne; P Calloway
Journal:  Age Ageing       Date:  1990-03       Impact factor: 10.668

10.  Does childhood schooling affect old age memory or mental status? Using state schooling laws as natural experiments.

Authors:  M M Glymour; I Kawachi; C S Jencks; L F Berkman
Journal:  J Epidemiol Community Health       Date:  2008-06       Impact factor: 3.710

View more
  39 in total

1.  Is cognitive aging predicted by educational level?

Authors:  A Richey Sharrett
Journal:  Am J Epidemiol       Date:  2012-04-02       Impact factor: 4.897

2.  Early life development in a multiethnic sample and the relation to late life cognition.

Authors:  Rebecca J Melrose; Paul Brewster; María J Marquine; Anna MacKay-Brandt; Bruce Reed; Sarah T Farias; Dan Mungas
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2014-01-03       Impact factor: 4.077

Review 3.  Defining Cognitive Reserve and Implications for Cognitive Aging.

Authors:  Corinne Pettigrew; Anja Soldan
Journal:  Curr Neurol Neurosci Rep       Date:  2019-01-09       Impact factor: 5.081

4.  Socioeconomic Position and Age-Related Disparities in Regional Cerebral Blood Flow Within the Prefrontal Cortex.

Authors:  Daniel A Hackman; Dora C-H Kuan; Stephen B Manuck; Peter J Gianaros
Journal:  Psychosom Med       Date:  2018-05       Impact factor: 4.312

5.  An International Evaluation of Cognitive Reserve and Memory Changes in Early Old Age in 10 European Countries.

Authors:  Dorina Cadar; Annie Robitaille; Sean Clouston; Scott M Hofer; Andrea M Piccinin; Graciela Muniz-Terrera
Journal:  Neuroepidemiology       Date:  2017-02-21       Impact factor: 3.282

6.  Mental retirement and health selection: Analyses from the U.S. Health and Retirement Study.

Authors:  Sean A P Clouston; Nicole Denier
Journal:  Soc Sci Med       Date:  2017-01-22       Impact factor: 4.634

7.  Does selective survival before study enrolment attenuate estimated effects of education on rate of cognitive decline in older adults? A simulation approach for quantifying survival bias in life course epidemiology.

Authors:  Elizabeth Rose Mayeda; Teresa J Filshtein; Yorghos Tripodis; M Maria Glymour; Alden L Gross
Journal:  Int J Epidemiol       Date:  2018-10-01       Impact factor: 7.196

8.  Education and Cognitive Decline: An Integrative Analysis of Global Longitudinal Studies of Cognitive Aging.

Authors:  Sean A P Clouston; Dylan M Smith; Soumyadeep Mukherjee; Yun Zhang; Wei Hou; Bruce G Link; Marcus Richards
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2020-08-13       Impact factor: 4.077

9.  Correlates of cognitive change.

Authors:  Timothy A Salthouse
Journal:  J Exp Psychol Gen       Date:  2013-11-11

10.  Patterns of cognitive function in aging: the Rotterdam Study.

Authors:  Yoo Young Hoogendam; Albert Hofman; Jos N van der Geest; Aad van der Lugt; Mohammad Arfan Ikram
Journal:  Eur J Epidemiol       Date:  2014-02-20       Impact factor: 8.082

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.