Evidence map›Paper›PMID 39676691›Full record

ArticleJournal of the International Neuropsychological Society : JINS2025

Evaluating the factor structure and construct validity of the NIH toolbox in older adults, with a focus on cognitive normalcy and amnestic mild cognitive impairment: considerations for diversity, including insights from persons over 85 years of age and Black older Americans.

Savannah Rose, Allyson Gergoire, Subhamoy Pal, Jonathan Reader, Arijit Bhaumik, Jerry Slotkin, Emily Ho, Cindy J Nowinski, Carol C Persad, Amanda Cook Maher and 3 more

Abstract read
In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Savannah RoseUniversity of Michigan, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0001-9784-6819
Allyson GergoireMichigan Medicine, Ann Arbor, MI, USA.
Subhamoy PalMichigan Medicine, Ann Arbor, MI, USA.
Jonathan ReaderMichigan Medicine, Ann Arbor, MI, USA.
Arijit BhaumikMichigan Medicine, Ann Arbor, MI, USA.
Jerry SlotkinUniversity of Delaware, Newark, DE, USA.
Emily HoNorthwestern University Feinberg School of Medicine, Chicago, IL, USA.
Cindy J NowinskiUniversity of Delaware, Newark, DE, USA.
Carol C PersadUniversity of Michigan, Ann Arbor, MI, USA.
Amanda Cook MaherUniversity of Michigan, Ann Arbor, MI, USA.
Sandy WeintraubNorthwestern University Feinberg School of Medicine, Chicago, IL, USA.
Richard GershonNorthwestern University Feinberg School of Medicine, Chicago, IL, USA.
Bruno GiordaniUniversity of Michigan, Ann Arbor, MI, USA.

Funding

Neuropathology CoreP30AG013854 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ROGALSKI, EMILY J · 1996 to 2020
$28.9M
Research Education ComponentP30AG072931 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DOUGLAS C NOLL · 2021 to 2026
$26.5M
ARMADA: Advancing Reliable Measurement in Alzheimer's Disease and cognitive Aging - Tech CoreU2CAG057441 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GERSHON, RICHARD, WEINTRAUB, SANDRA · 2017 to 2019
$10.8M
Michigan Alzheimer's Disease Core CenterP30AG053760 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALBIN, ROGER L · 2016 to 2020
$10.1M
Identification of cognitive decline and dementia: Prediction by everyday driving behaviors and physiological responsesR01AG068338 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GIORDANI, BRUNO, MURPHEY, YI LU · 2020 to 2024
$6.9M
NIA NIH HHS P30 AG013854NIA NIH HHS P30 AG053760NIA NIH HHS P30 AG072931NIA NIH HHS R01 AG068338NIA NIH HHS U2C AG057441
6 · The paper itself

Abstract

objectiveValidated computerized assessments for cognitive functioning are crucial for older individuals and those at risk of cognitive decline. The National Institutes of Health (NIH) Toolbox Cognition Battery (NIHTB-CB) exhibits good construct validity but requires validation in diverse populations and for adults aged 85+. This study uses data from the Assessing Reliable Measurement in Alzheimer's Disease and cognitive Aging study to explore differences in the factor structure of the NIHTB-CB for adults 85 and older, Black participants versus White participants, and those diagnosed as amnestic Mild Cognitive Impairment (aMCI) vs cognitively normal (CN).

methodSubtests from the NACC UDS-3 and NIHTB-CB were administered to 503 community-dwelling Black and White adults ages 55-99 (367 CN; 136 aMCI). Confirmatory factor analyses were used to investigate the original factor structure of NIHTB-CB that forms the basis for NIHTB-CD Index factor scores.

resultsFactor analyses for all participants and some participant subsets (aMCI, White, 85+) substantiated the two anticipated factors (Fluid and Crystallized). However, while Black aMCI participants had the expected two-factor structure, for Black CN participants, the List Sorting Working Memory and Picture Sequence tests loaded on the Crystallized factor.

conclusionsFindings provide psychometric support for the NIHTB-CB. Differences in factor structure between Black CN individuals and Black aMCI individuals suggest potential instability across levels of cognitive impairment. Future research should explore changes in NIHTB-CB across diagnoses in different populations.

Indexed as

AmnesiaBlack or African AmericanCognitive DysfunctionNeuropsychological TestsAgedAged, 80 and overFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedNational Institutes of Health (U.S.)PsychometricsReproducibility of ResultsUnited StatesWhiteAlzheimer’sBlack Americanscognitioncognitive agingcognitive impairmentFactor analysis

Identifiers

PMID39676691
PMCPMC11957923

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.