Journal article
Predicting Cognitive Change in Older Adults: The Relative Contribution of Practice Effects
Archives of clinical neuropsychology, Vol.25(2), pp.81-88
Editor's Choice
03/2010
DOI: 10.1093/arclin/acp105
PMCID: PMC2819829
PMID: 20064816
Abstract
Assessing cognitive change in older adults is a common use of neuropsychological services, and neuropsychologists have utilized several strategies to determine if a change is “real,” “reliable,” and “meaningful.” Although standardized regression-based (SRB) prediction formulas may be useful in determining change, SRBs have not been widely applied to older adults. The current study sought to develop SRB formulas on a group of 127 community-dwelling older adults for several widely used neuropsychological measures. In addition to baseline test scores and demographic information, the current study also examined the role of short-term practice effects in predicting test scores after 1 year. Consistent with prior research on younger adults, baseline test performances were the strongest predictors of future test performances, accounting for 25%–58% of the variance. Short-term practice effects significantly added to the predictability of all nine of the cognitive tests examined (3%–22%). Future studies should continue extending SRB methodology for older adults, and the inclusion of practice effects appears to add to the prediction of future cognition.
Details
- Title: Subtitle
- Predicting Cognitive Change in Older Adults: The Relative Contribution of Practice Effects
- Creators
- Kevin Duff - ,Leigh J Beglinger - ,David J Moser - ,Jane S Paulsen - ,Susan K Schultz - ,Stephan Arndt - ,
- Resource Type
- Journal article
- Publication Details
- Archives of clinical neuropsychology, Vol.25(2), pp.81-88
- Series
- Editor's Choice
- DOI
- 10.1093/arclin/acp105
- PMID
- 20064816
- PMCID
- PMC2819829
- NLM abbreviation
- Arch Clin Neuropsychol
- ISSN
- 0887-6177
- eISSN
- 1873-5843
- Publisher
- Oxford University Press
- Language
- English
- Date published
- 03/2010
- Academic Unit
- Psychiatry; Psychological and Brain Sciences; Biostatistics; Nursing; Injury Prevention Research Center; Medicine Administration; Internal Medicine
- Record Identifier
- 9984003995602771
Metrics
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