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Impact of differential attrition on the association of education with cognitive change over 20 years of follow-up: the ARIC neurocognitive study.

Publication ,  Journal Article
Gottesman, RF; Rawlings, AM; Sharrett, AR; Albert, M; Alonso, A; Bandeen-Roche, K; Coker, LH; Coresh, J; Couper, DJ; Griswold, ME; Heiss, G ...
Published in: Am J Epidemiol
April 15, 2014

Studies of long-term cognitive change should account for the potential effects of education on the outcome, since some studies have demonstrated an association of education with dementia risk. Evaluating cognitive change is more ideal than evaluating cognitive performance at a single time point, because it should be less susceptible to confounding. In this analysis of 14,020 persons from a US cohort study, the Atherosclerosis Risk in Communities (ARIC) Study, we measured change in performance on 3 cognitive tests over a 20-year period, from ages 48-67 years (1990-1992) through ages 70-89 years (2011-2013). Generalized estimating equations were used to evaluate the association between education and cognitive change in unweighted adjusted models, in models incorporating inverse probability of attrition weighting, and in models using cognitive scores imputed from the Telephone Interview for Cognitive Status for participants not examined in person. Education did not have a strong relationship with change in cognitive test performance, although the rate of decline was somewhat slower among persons with lower levels of education. Methods used to account for selective dropout only marginally changed these observed associations. Future studies of risk factors for cognitive impairment should focus on cognitive change, when possible, to allow for reduction of confounding by social or cultural factors.

Duke Scholars

Published In

Am J Epidemiol

DOI

EISSN

1476-6256

Publication Date

April 15, 2014

Volume

179

Issue

8

Start / End Page

956 / 966

Location

United States

Related Subject Headings

  • Time Factors
  • Risk Factors
  • Patient Dropouts
  • Neuropsychological Tests
  • Models, Statistical
  • Middle Aged
  • Male
  • Linear Models
  • Humans
  • Follow-Up Studies
 

Citation

APA
Chicago
ICMJE
MLA
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Gottesman, R. F., Rawlings, A. M., Sharrett, A. R., Albert, M., Alonso, A., Bandeen-Roche, K., … Mosley, T. H. (2014). Impact of differential attrition on the association of education with cognitive change over 20 years of follow-up: the ARIC neurocognitive study. Am J Epidemiol, 179(8), 956–966. https://doi.org/10.1093/aje/kwu020
Gottesman, Rebecca F., Andreea M. Rawlings, A Richey Sharrett, Marilyn Albert, Alvaro Alonso, Karen Bandeen-Roche, Laura H. Coker, et al. “Impact of differential attrition on the association of education with cognitive change over 20 years of follow-up: the ARIC neurocognitive study.Am J Epidemiol 179, no. 8 (April 15, 2014): 956–66. https://doi.org/10.1093/aje/kwu020.
Gottesman RF, Rawlings AM, Sharrett AR, Albert M, Alonso A, Bandeen-Roche K, et al. Impact of differential attrition on the association of education with cognitive change over 20 years of follow-up: the ARIC neurocognitive study. Am J Epidemiol. 2014 Apr 15;179(8):956–66.
Gottesman, Rebecca F., et al. “Impact of differential attrition on the association of education with cognitive change over 20 years of follow-up: the ARIC neurocognitive study.Am J Epidemiol, vol. 179, no. 8, Apr. 2014, pp. 956–66. Pubmed, doi:10.1093/aje/kwu020.
Gottesman RF, Rawlings AM, Sharrett AR, Albert M, Alonso A, Bandeen-Roche K, Coker LH, Coresh J, Couper DJ, Griswold ME, Heiss G, Knopman DS, Patel MD, Penman AD, Power MC, Selnes OA, Schneider ALC, Wagenknecht LE, Windham BG, Wruck LM, Mosley TH. Impact of differential attrition on the association of education with cognitive change over 20 years of follow-up: the ARIC neurocognitive study. Am J Epidemiol. 2014 Apr 15;179(8):956–966.
Journal cover image

Published In

Am J Epidemiol

DOI

EISSN

1476-6256

Publication Date

April 15, 2014

Volume

179

Issue

8

Start / End Page

956 / 966

Location

United States

Related Subject Headings

  • Time Factors
  • Risk Factors
  • Patient Dropouts
  • Neuropsychological Tests
  • Models, Statistical
  • Middle Aged
  • Male
  • Linear Models
  • Humans
  • Follow-Up Studies