Neuropsychological criteria for mild cognitive impairment in the framingham heart study's old-old

Christina G. Wong, Kelsey R. Thomas, Emily C. Edmonds, Alexandra J. Weigand, Katherine J. Bangen, Joel S. Eppig, Amy J. Jak, Sherral A. Devine, Lisa Delano-Wood, David J. Libon, Steven D. Edland, Rhoda Au, Mark W. Bondi

Research output: Contribution to journalArticlepeer-review

24 Scopus citations


Background/Aims: Mild cognitive impairment (MCI) lacks a "gold standard" operational definition. The Jak/Bondi actuarial neuropsychological criteria for MCI are associated with improved diagnostic stability and prediction of progression to dementia compared to conventional MCI diagnostic approaches, although its utility in diagnosing MCI in old-old individuals (age 75+) is unknown. Therefore, we investigated the applicability of neuropsychological MCI criteria among old-old from the Framingham Heart Study. Methods: A total of 347 adults (ages 79-102) were classified as cognitively normal or MCI via Jak/Bondi and conventional Petersen/Winblad criteria, which differ on cutoffs for cognitive impairment and number of impaired scores required for a diagnosis. Cox models examined MCI status in predicting risk of progression to dementia. Results: MCI diagnosed by both the Jak/Bondi and Petersen/Winblad criteria was associated with incident dementia; however, when both criteria were included in the regression model together, only the Jak/Bondi criteria remained statistically significant. At follow-up, the Jak/Bondi criteria had a lower MCI-to-normal reversion rate than the Petersen/Winblad criteria. Conclusions: Our findings are consistent with previous research on the Jak/Bondi criteria and support the use of a comprehensive neuropsychological diagnostic approach for MCI among old-old individuals.

Original languageEnglish (US)
Pages (from-to)253-265
Number of pages13
JournalDementia and Geriatric Cognitive Disorders
Issue number5-6
StatePublished - Jan 1 2019

All Science Journal Classification (ASJC) codes

  • Geriatrics and Gerontology
  • Cognitive Neuroscience
  • Psychiatry and Mental health


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