TY - JOUR
T1 - Validity of the NIH toolbox cognitive battery in a healthy oldest-old 85+ sample
AU - Nolin, Sara A.
AU - Cowart, Hannah
AU - Merritt, Stacy
AU - McInerney, Katalina
AU - Bharadwaj, P. K.
AU - Franchetti, Mary Kate
AU - Raichlen, David A.
AU - Jessup, Cortney J.
AU - Hishaw, G. Alex
AU - Van Etten, Emily J.
AU - Trouard, Theodore P.
AU - Geldmacher, David S.
AU - Wadley, Virginia G.
AU - Porges, Eric S.
AU - Woods, Adam J.
AU - Cohen, Ron A.
AU - Levin, Bonnie E.
AU - Rundek, Tatjana
AU - Alexander, Gene E.
AU - Visscher, Kristina M.
N1 - Publisher Copyright:
Copyright © INS. Published by Cambridge University Press, 2022.
PY - 2023/7/14
Y1 - 2023/7/14
N2 - 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.
AB - 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.
KW - aged 85 and over
KW - cognition
KW - confirmatory factor analysis
KW - construct validity
KW - neuropsychological tests
KW - test development
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U2 - 10.1017/S1355617722000443
DO - 10.1017/S1355617722000443
M3 - Article
C2 - 36239453
AN - SCOPUS:85163913474
SN - 1355-6177
VL - 29
SP - 605
EP - 614
JO - Journal of the International Neuropsychological Society
JF - Journal of the International Neuropsychological Society
IS - 6
ER -