Literature DB >> 16519269

Normal rates of cognitive change in successful aging: the freedom house study.

Donald R Royall1, Raymond Palmer, Laura K Chiodo, Marsha J Polk.   

Abstract

We determined the rates of cognitive change associated with twenty individual measures. Participants included 547 noninstitutionalized septuagenarians and octogenarian residents of a comprehensive care retirement community who were studied over three years. Latent growth curves (LGC) of multiple cognitive measures were compared to a LGC model of the rates of change in Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL). All curves were standardized relative to each variable's baseline distribution. Baseline scores were within their expected normal age-specific ranges. Most measures showed significant rates of change over time. There was also significant variability about those rates, suggesting clinical heterogeneity. Many deteriorated over time, as did ADLs and IADLs. However, performance on some measures improved, consistent with learning effects. The rates of change in two measures, the Executive Interview and the Trail Making Test, were closely related to decline in IADLs. These results suggest that age-related cognitive decline is a dynamic longitudinal process affecting multiple cognitive domains. Heterogeneity in the rates of cognitive change may reflect the summed effects of age and comorbid conditions affecting cognition. Some measures may be ill-suited for measuring age-related changes in cognition, either because they are insensitive to change, or hindered by learning effects. Nonverbal measures appear to be particularly well suited for the prediction of age-related functional decline. These observations are relevant to the definition and diagnosis of "dementing" conditions.

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Year:  2005        PMID: 16519269     DOI: 10.1017/s135561770505109x

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  45 in total

1.  Relationship among neuroimaging indices of cerebral health during normal aging.

Authors:  Peter Kochunov; Paul M Thompson; Thomas R Coyle; Jack L Lancaster; Valeria Kochunov; Donal Royall; Jean-Fransçois Mangin; Denis Rivière; Peter T Fox
Journal:  Hum Brain Mapp       Date:  2008-01       Impact factor: 5.038

2.  Longitudinal MRI and cognitive change in healthy elderly.

Authors:  Joel H Kramer; Dan Mungas; Bruce R Reed; Margaret E Wetzel; Molly M Burnett; Bruce L Miller; Michael W Weiner; Helena C Chui
Journal:  Neuropsychology       Date:  2007-07       Impact factor: 3.295

3.  Cognitive longitudinal predictors of older adults' self-reported IADL function.

Authors:  Anna Yam; Michael Marsiske
Journal:  J Aging Health       Date:  2013-12

4.  Long-term effects of cognitive training on everyday functional outcomes in older adults.

Authors:  Sherry L Willis; Sharon L Tennstedt; Michael Marsiske; Karlene Ball; Jeffrey Elias; Kathy Mann Koepke; John N Morris; George W Rebok; Frederick W Unverzagt; Anne M Stoddard; Elizabeth Wright
Journal:  JAMA       Date:  2006-12-20       Impact factor: 56.272

5.  FAS and CFL forms of verbal fluency differ in difficulty: a meta-analytic study.

Authors:  Danielle Barry; Marsha E Bates; Erich Labouvie
Journal:  Appl Neuropsychol       Date:  2008

6.  Effects of Sex and Education on Cognitive Change Over a 27-Year Period in Older Adults: The Rancho Bernardo Study.

Authors:  Emilie T Reas; Gail A Laughlin; Jaclyn Bergstrom; Donna Kritz-Silverstein; Elizabeth Barrett-Connor; Linda K McEvoy
Journal:  Am J Geriatr Psychiatry       Date:  2017-03-16       Impact factor: 4.105

7.  Association of left ventricular hypertrophy with cognitive decline and dementia risk over 20 years: The Atherosclerosis Risk In Communities-Neurocognitive Study (ARIC-NCS).

Authors:  Faye L Norby; Lin Y Chen; Elsayed Z Soliman; Rebecca F Gottesman; Thomas H Mosley; Alvaro Alonso
Journal:  Am Heart J       Date:  2018-08-02       Impact factor: 4.749

8.  Cognitive dysfunction with aging and the role of inflammation.

Authors:  Arthur A Simen; Kelly A Bordner; Mark P Martin; Lawrence A Moy; Lisa C Barry
Journal:  Ther Adv Chronic Dis       Date:  2011-05       Impact factor: 5.091

9.  Analysis of genetic variability and whole genome linkage of whole-brain, subcortical, and ependymal hyperintense white matter volume.

Authors:  Peter Kochunov; David Glahn; Anderson Winkler; Ravindranath Duggirala; Rene L Olvera; Shelley Cole; Thomas D Dyer; Laura Almasy; Peter T Fox; John Blangero
Journal:  Stroke       Date:  2009-10-15       Impact factor: 7.914

10.  Trajectories of cognitive decline in Alzheimer's disease.

Authors:  Patricia A Wilkosz; Howard J Seltman; Bernie Devlin; Elise A Weamer; Oscar L Lopez; Steven T DeKosky; Robert A Sweet
Journal:  Int Psychogeriatr       Date:  2009-09-28       Impact factor: 3.878

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