Evidence map›Paper›PMID 40888072›Full record

ArticleJournal of the International Neuropsychological Society : JINS2025

Cross-domain latent profiles of MCI and dementia are most differentiated by social and emotional functioning.

Matthew L Cohen, Aaron J Boulton, Callie E Tyner, Jerry Slotkin, Sandra Weintraub, Richard C Gershon, Hiroko H Dodge, David S Tulsky

Abstract read
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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. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Matthew L CohenCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.ORCID https://orcid.org/0000-0001-9609-2461
Aaron J BoultonCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.
Callie E TynerCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.ORCID https://orcid.org/0000-0003-2945-392X
Jerry SlotkinCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.
Sandra WeintraubMesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Richard C GershonDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Hiroko H DodgeDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
David S TulskyCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.

Funding

Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Christine S Ritchie · 2019 to 2026
$36.5M
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
Measuring Symptom Clusters in People with Sudden-Onset DisabilitiesR01NR018684 · NINR · UNIVERSITY OF DELAWARE · PI TULSKY, DAVID SCOTT · 2019 to 2024
$3.7M
NIA NIH HHS P30 AG062421NIA NIH HHS U2C AG057441NINR NIH HHS R01 NR018684
6 · The paper itself

Abstract

objectiveBecause of the complexity of Alzheimer's Disease (AD) clinical presentations across bio-psycho-social domains of functioning, data-reduction approaches, such as latent profile analysis (LPA), can be useful for studying profiles rather than individual symptoms. Previous LPA research has resulted in more precise characterization and understanding of patients, better clarity regarding the probability and rate of disease progression, and an empirical approach to identifying those who might benefit most from early intervention. Whereas previous LPA research has revealed useful cognitive, neuropsychiatric, or functional subtypes of patients with AD, no study has identified patient profiles that span the domains of health and functioning and that also include motor and sensory functioning.

methodsLPA was conducted with data from the Advancing Reliable Measurement in Alzheimer's Disease and cognitive Aging study. Participants were 209 older adults with amnestic mild cognitive impairment (aMCI) or mild dementia of the Alzheimer's type (DAT). LPA indicator variables were from the NIH Toolbox® and included cognitive, emotional, social, motor, and sensory domains of functioning.

resultsThe data were best modeled with a 4-profile solution. The latent profiles were most differentiated by indices of social and emotional functioning and least differentiated by motor and sensory function.

conclusionsThese multi-domain patient profiles support and extend previous findings on single-domain profiles and highlight the importance of social and emotional factors for understanding patient experiences of aMCI/DAT. Future research should investigate these profiles further to better understand risk and resilience factors, the stability of these profiles over time, and responses to intervention.

Indexed as

Alzheimer DiseaseCognitive DysfunctionEmotionsSocial BehaviorAgedAged, 80 and overFemaleHumansLatent Class AnalysisMaleadultsagedAlzheimer’s Diseasecluster analysislatent class analysislatent profile analysismild cognitive impairment

Identifiers

PMID40888072
PMCPMC12404670

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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.