Validity of the NIH toolbox cognitive battery in a healthy oldest-old 85+ sample
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Author
Nolin, S.A.Cowart, H.
Merritt, S.
McInerney, K.
Bharadwaj, P.K.
Franchetti, M.K.
Raichlen, D.A.
Jessup, C.J.
Hishaw, G.A.
Van Etten, E.J.
Trouard, T.P.
Geldmacher, D.S.
Wadley, V.G.
Porges, E.S.
Woods, A.J.
Cohen, R.A.
Levin, B.E.
Rundek, T.
Alexander, G.E.
Visscher, K.M.
Affiliation
University of ArizonaIssue Date
2022-10-14Keywords
aged 85 and overcognition
confirmatory factor analysis
construct validity
neuropsychological tests
test development
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Cambridge University PressCitation
Nolin SA, Cowart H, Merritt S, et al. Validity of the NIH toolbox cognitive battery in a healthy oldest-old 85+ sample. Journal of the International Neuropsychological Society. 2023;29(6):605-614. doi:10.1017/S1355617722000443Rights
Copyright © INS. Published by Cambridge University Press, 2022. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Objective: To evaluate the construct validity of the NIH Toolbox Cognitive Battery (NIH TB-CB) in the healthy oldest-old (85+ years old). Method: Our sample from the McKnight Brain Aging Registry consists of 179 individuals, 85 to 99 years of age, screened for memory, neurological, and psychiatric disorders. Using previous research methods on a sample of 85 + y/o adults, we conducted confirmatory factor analyses on models of NIH TB-CB and same domain standard neuropsychological measures. We hypothesized the five-factor model (Reading, Vocabulary, Memory, Working Memory, and Executive/Speed) would have the best fit, consistent with younger populations. We assessed confirmatory and discriminant validity. We also evaluated demographic and computer use predictors of NIH TB-CB composite scores. Results: Findings suggest the six-factor model (Vocabulary, Reading, Memory, Working Memory, Executive, and Speed) had a better fit than alternative models. NIH TB-CB tests had good convergent and discriminant validity, though tests in the executive functioning domain had high inter-correlations with other cognitive domains. Computer use was strongly associated with higher NIH TB-CB overall and fluid cognition composite scores. Conclusion: The NIH TB-CB is a valid assessment for the oldest-old samples, with relatively weak validity in the domain of executive functioning. Computer use's impact on composite scores could be due to the executive demands of learning to use a tablet. Strong relationships of executive function with other cognitive domains could be due to cognitive dedifferentiation. Overall, the NIH TB-CB could be useful for testing cognition in the oldest-old and the impact of aging on cognition in older populations. Copyright © INS. Published by Cambridge University Press, 2022.Note
Open access articleISSN
1355-6177PubMed ID
36239453Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1017/S1355617722000443
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Except where otherwise noted, this item's license is described as Copyright © INS. Published by Cambridge University Press, 2022. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/).
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