Literature DB >> 27932344

Using Robust Normative Data to Investigate the Neuropsychology of Cognitive Aging.

Karra D Harrington1,2, Yen Ying Lim1,3, David Ames4,5, Jason Hassenstab6,7,8, Stephanie Rainey-Smith9,10, Joanne Robertson1, Olivier Salvado11, Colin L Masters1, Paul Maruff1,3.   

Abstract

OBJECTIVE: The extent to which increasing age is associated with impairment in cognitive function, termed cognitive aging, may have been overestimated in prior studies. The inclusion of individuals with severe or uncontrolled systemic medical illness or prodromal neurodegenerative disease in normal aging samples is likely to bias estimates toward lower cognitive performance and inflate estimates of variability.
METHOD: Unbiased estimates of cognitive aging in 658 adults aged 60-84, who underwent rigorous screening to ensure their general and cognitive health, were computed. The first study screened the psychometric properties of a battery of neuropsychological tests in order to identify those with optimal properties to evaluate cognitive aging. The second study used the selected tests to compare baseline performance within 5-year age bands from 60 to 84.
RESULTS: The first study identified a battery of 12 tests that provided reliable measures of memory, psychomotor speed, attention, and executive function and were appropriate for investigating age-related cognitive changes. The second study observed moderate to large age-related impairment for performance on tests of complex psychomotor function, category fluency, verbal learning, and verbal and visual memory. No, or only small, age effects were observed for working memory, phonemic fluency, learning of visual information, and reaction time.
CONCLUSIONS: These data suggested that while increasing age is associated with impairment in cognitive function, this impairment is less severe and is evident only on more complex neuropsychological tests than estimated previously in samples selected using less rigorous criteria to ensure cognitive health.
© The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Assessment; Elderly/geriatrics/aging; Executive functions; Fluency (verbal/nonverbal); Learning and memory; Norms/normative studies

Mesh:

Year:  2017        PMID: 27932344     DOI: 10.1093/arclin/acw106

Source DB:  PubMed          Journal:  Arch Clin Neuropsychol        ISSN: 0887-6177            Impact factor:   2.813


  15 in total

1.  Physical fitness mediates the association between age and cognition in healthy adults.

Authors:  Yaara Orland; Michal Schnaider Beeri; Sigal Levy; Ariel Israel; Ramit Ravona-Springer; Shlomo Segev; Odelia Elkana
Journal:  Aging Clin Exp Res       Date:  2020-06-15       Impact factor: 3.636

2.  Normative Data for Derived Measures and Discrepancy Scores for the Uniform Data Set 3.0 Neuropsychological Battery.

Authors:  Paulina V Devora; Samantha Beevers; Andrew M Kiselica; Jared F Benge
Journal:  Arch Clin Neuropsychol       Date:  2019-01-24       Impact factor: 2.813

3.  A longitudinal study of polychlorinated biphenyls and neuropsychological function among older adults from New York State.

Authors:  Eva M Tanner; Michael S Bloom; Kurunthachalam Kannan; Julie Lynch; Wei Wang; Recai Yucel; Edward F Fitzgerald
Journal:  Int J Hyg Environ Health       Date:  2019-11-06       Impact factor: 5.840

4.  A novel cognitive disease progression model for clinical trials in autosomal-dominant Alzheimer's disease.

Authors:  Guoqiao Wang; Scott Berry; Chengjie Xiong; Jason Hassenstab; Melanie Quintana; Eric M McDade; Paul Delmar; Matteo Vestrucci; Gopalan Sethuraman; Randall J Bateman
Journal:  Stat Med       Date:  2018-05-14       Impact factor: 2.373

5.  Validation of one-week reliable change methods in cognitively intact community-dwelling older adults.

Authors:  Dustin B Hammers; Kayla R Suhrie; Ava Dixon; Sariah Porter; Kevin Duff
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2020-07-02

6.  Demographically-corrected normative data for the HVLT-R, BVMT-R, and Aggregated Learning Ratio values in a sample of older adults.

Authors:  Dustin B Hammers; Kevin Duff; Robert J Spencer
Journal:  J Clin Exp Neuropsychol       Date:  2021-04-26       Impact factor: 2.475

7.  Demographically-corrected normative data for the RBANS learning ratio in a sample of older adults.

Authors:  Dustin B Hammers; Kevin Duff; Robert J Spencer
Journal:  Clin Neuropsychol       Date:  2021-07-27       Impact factor: 3.535

8.  Relationship between a novel learning slope metric and Alzheimer's disease biomarkers.

Authors:  Dustin B Hammers; Kayla Suhrie; Ava Dixon; Brian D Gradwohl; Zane G Archibald; Jace B King; Robert J Spencer; Kevin Duff; John M Hoffman
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2021-05-05

9.  Undetected Neurodegenerative Disease Biases Estimates of Cognitive Change in Older Adults.

Authors:  Karra D Harrington; Andrew J Aschenbrenner; Paul Maruff; Colin L Masters; Anne M Fagan; Tammie L S Benzinger; Brian A Gordon; Carlos Cruchaga; John C Morris; Jason Hassenstab
Journal:  Psychol Sci       Date:  2021-05-27

10.  Amyloid β-associated cognitive decline in the absence of clinical disease progression and systemic illness.

Authors:  Karra D Harrington; Yen Ying Lim; David Ames; Jason Hassenstab; Simon M Laws; Ralph N Martins; Stephanie Rainey-Smith; Joanne Robertson; Christopher C Rowe; Olivier Salvado; Vincent Doré; Victor L Villemagne; Peter J Snyder; Colin L Masters; Paul Maruff
Journal:  Alzheimers Dement (Amst)       Date:  2017-06-09
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