Literature DB >> 16690989

Patterns of cognitive performance in middle-aged and older adults: A cluster analytic examination.

John Gunstad1, Robert H Paul, Adam M Brickman, Ronald A Cohen, Martijn Arns, Donald Roe, Jeffery J Lawrence, Evian Gordon.   

Abstract

Cognitive decline in speeded abilities, executive function, and memory is believed to typify normal aging. However, there is significant variability in cognitive function with advanced age and some reports of relatively intact cognitive function among a subset of older individuals. The present study consists of a cluster analysis to examine the patterns of cognitive function in middle-aged and older individuals. Analyses revealed 3 clusters of middle-aged adults, including an intact group, persons with poor motor speed, and a group with reduced executive function. Three clusters were also identified for older adults, including a group with poor executive function, persons with reduced speed performance (attention, executive function, motor), and a group with global cognitive decline. No evidence emerged for a cluster of older adults with intact performance in all domains or with isolated memory deficits. Findings generally support the frontal aging hypothesis and may provide important information about healthy cognitive aging.

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Year:  2006        PMID: 16690989     DOI: 10.1177/0891988705284738

Source DB:  PubMed          Journal:  J Geriatr Psychiatry Neurol        ISSN: 0891-9887            Impact factor:   2.680


  28 in total

1.  Compensatory neural activity distinguishes different patterns of normal cognitive aging.

Authors:  Jenna L Riis; Hyemi Chong; Katherine K Ryan; David A Wolk; Dorene M Rentz; Phillip J Holcomb; Kirk R Daffner
Journal:  Neuroimage       Date:  2007-08-31       Impact factor: 6.556

2.  Blood pressure interacts with APOE ε4 to predict memory performance in a midlife sample.

Authors:  Lauren E Oberlin; Stephen B Manuck; Peter J Gianaros; Robert E Ferrell; Matthew F Muldoon; J Richard Jennings; Janine D Flory; Kirk I Erickson
Journal:  Neuropsychology       Date:  2015-03-02       Impact factor: 3.295

3.  Identification of the Spectrotemporal Modulations That Support Speech Intelligibility in Hearing-Impaired and Normal-Hearing Listeners.

Authors:  Jonathan H Venezia; Allison-Graham Martin; Gregory Hickok; Virginia M Richards
Journal:  J Speech Lang Hear Res       Date:  2019-04-15       Impact factor: 2.297

4.  Testing the white matter retrogenesis hypothesis of cognitive aging.

Authors:  Adam M Brickman; Irene B Meier; Mayuresh S Korgaonkar; Frank A Provenzano; Stuart M Grieve; Karen L Siedlecki; Ben T Wasserman; Leanne M Williams; Molly E Zimmerman
Journal:  Neurobiol Aging       Date:  2011-07-23       Impact factor: 4.673

5.  Competing Speech Perception in Middle Age.

Authors:  Karen S Helfer
Journal:  Am J Audiol       Date:  2015-06       Impact factor: 1.493

6.  Age-related decline in differentiated neural responses to rare target versus frequent standard stimuli.

Authors:  Katherine K Mott; Brittany R Alperin; Phillip J Holcomb; Kirk R Daffner
Journal:  Brain Res       Date:  2014-08-27       Impact factor: 3.252

7.  Determinants of cognitive health in Indonesian HIV patients beginning antiretroviral therapy.

Authors:  Riwanti Estiasari; Ibnu Aryanto; Silvia Lee; Setia Pramana; Samsuridjal Djauzi; Patricia Price
Journal:  J Neurovirol       Date:  2019-08-05       Impact factor: 2.643

8.  A Latent Transition Analysis Model to Assess Change in Cognitive States over Three Occasions: Results from the Rush Memory and Aging Project.

Authors:  Andrea R Zammit; David A Bennett; Charles B Hall; Richard B Lipton; Mindy J Katz; Graciela Muniz-Terrera
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

Review 9.  Hearing and speech processing in midlife.

Authors:  Karen S Helfer; Alexandra Jesse
Journal:  Hear Res       Date:  2020-10-17       Impact factor: 3.208

10.  Effectiveness of cognitive training for Chinese elderly in Hong Kong.

Authors:  Timothy Kwok; Anita Wong; Grace Chan; Y Y Shiu; Ko-Chuen Lam; Daniel Young; Daniel W H Ho; Florence Ho
Journal:  Clin Interv Aging       Date:  2013-02-18       Impact factor: 4.458

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