Development of a latent dementia index in the aging, demographics, and memory study: Validation and measurement invariance by sex

Abstract Latent variable models can create a latent dementia index (LDI) using cognitive and functional ability to approximate dementia likelihood. The LDI approach has been applied across diverse cohorts. It is unclear whether sex affects its measurement properties. We use Wave A (2001–2003) of the...

Full description

Bibliographic Details
Main Authors: Joseph Saenz, Christopher R. Beam, Alice J. Kim
Format: Article
Language:English
Published: Wiley 2023-04-01
Series:Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
Subjects:
Online Access:https://doi.org/10.1002/dad2.12433
_version_ 1797317304843763712
author Joseph Saenz
Christopher R. Beam
Alice J. Kim
author_facet Joseph Saenz
Christopher R. Beam
Alice J. Kim
author_sort Joseph Saenz
collection DOAJ
description Abstract Latent variable models can create a latent dementia index (LDI) using cognitive and functional ability to approximate dementia likelihood. The LDI approach has been applied across diverse cohorts. It is unclear whether sex affects its measurement properties. We use Wave A (2001–2003) of the Aging, Demographics, and Memory Study (n = 856). Multiple group confirmatory factor analysis (CFA) was used to test measurement invariance (MI) using informant‐reported functional ability and cognitive performance tasks, which we group into verbal, nonverbal, and memory. Partial scalar invariance was found, allowing for testing sex differences in LDI means (MDiff = 0.38). The LDI correlated with consensus panel dementia diagnosis, Mini‐Mental State Examination (MMSE), and dementia risk factors (low education, advanced age, and apolipoprotein ε4 [APOE‐ε4] status) for men and women. The LDI validly captures dementia likelihood to permit estimation of sex differences. LDI sex differences indicate higher dementia likelihood in women, potentially due to social, environmental, and biological factors.
first_indexed 2024-03-08T03:32:59Z
format Article
id doaj.art-2da7190cebf445b48f2d71da4c1a5ede
institution Directory Open Access Journal
issn 2352-8729
language English
last_indexed 2024-03-08T03:32:59Z
publishDate 2023-04-01
publisher Wiley
record_format Article
series Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
spelling doaj.art-2da7190cebf445b48f2d71da4c1a5ede2024-02-10T14:10:32ZengWileyAlzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring2352-87292023-04-01152n/an/a10.1002/dad2.12433Development of a latent dementia index in the aging, demographics, and memory study: Validation and measurement invariance by sexJoseph Saenz0Christopher R. Beam1Alice J. Kim2Edson College of Nursing and Health Innovation Arizona State University Phoenix Arizona USADavis School of Gerontology University of Southern California Los Angeles California USADavis School of Gerontology University of Southern California Los Angeles California USAAbstract Latent variable models can create a latent dementia index (LDI) using cognitive and functional ability to approximate dementia likelihood. The LDI approach has been applied across diverse cohorts. It is unclear whether sex affects its measurement properties. We use Wave A (2001–2003) of the Aging, Demographics, and Memory Study (n = 856). Multiple group confirmatory factor analysis (CFA) was used to test measurement invariance (MI) using informant‐reported functional ability and cognitive performance tasks, which we group into verbal, nonverbal, and memory. Partial scalar invariance was found, allowing for testing sex differences in LDI means (MDiff = 0.38). The LDI correlated with consensus panel dementia diagnosis, Mini‐Mental State Examination (MMSE), and dementia risk factors (low education, advanced age, and apolipoprotein ε4 [APOE‐ε4] status) for men and women. The LDI validly captures dementia likelihood to permit estimation of sex differences. LDI sex differences indicate higher dementia likelihood in women, potentially due to social, environmental, and biological factors.https://doi.org/10.1002/dad2.12433dementiaHRSlatent variablemeasurementsex differences
spellingShingle Joseph Saenz
Christopher R. Beam
Alice J. Kim
Development of a latent dementia index in the aging, demographics, and memory study: Validation and measurement invariance by sex
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
dementia
HRS
latent variable
measurement
sex differences
title Development of a latent dementia index in the aging, demographics, and memory study: Validation and measurement invariance by sex
title_full Development of a latent dementia index in the aging, demographics, and memory study: Validation and measurement invariance by sex
title_fullStr Development of a latent dementia index in the aging, demographics, and memory study: Validation and measurement invariance by sex
title_full_unstemmed Development of a latent dementia index in the aging, demographics, and memory study: Validation and measurement invariance by sex
title_short Development of a latent dementia index in the aging, demographics, and memory study: Validation and measurement invariance by sex
title_sort development of a latent dementia index in the aging demographics and memory study validation and measurement invariance by sex
topic dementia
HRS
latent variable
measurement
sex differences
url https://doi.org/10.1002/dad2.12433
work_keys_str_mv AT josephsaenz developmentofalatentdementiaindexintheagingdemographicsandmemorystudyvalidationandmeasurementinvariancebysex
AT christopherrbeam developmentofalatentdementiaindexintheagingdemographicsandmemorystudyvalidationandmeasurementinvariancebysex
AT alicejkim developmentofalatentdementiaindexintheagingdemographicsandmemorystudyvalidationandmeasurementinvariancebysex