Evidence map›Paper›PMID 38426381›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Analysis of agreement between measures of subjective cognitive impairment and probable dementia in the National Health and Aging Trends Study.

Linda C Chyr, Jennifer L Wolff, Julie M Zissimopoulos, Emmanuel F Drabo

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Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Linda C ChyrEnterprise Analytics Core, Elevance Health, Inc., Wilmington, Delaware, USA.
Jennifer L WolffDepartment of Health Policy and Management, John Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Julie M ZissimopoulosSol Price School of Public Policy, University of Southern California, Los Angeles, California, USA.
Emmanuel F DraboDepartment of Health Policy and Management, John Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-7470-4391

Funding

The Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research - Research Ed ComponentP30AG059298 · NIA · JOHNS HOPKINS UNIVERSITY · PI Joseph John Gallo, ROLAND J. THORPE · 2018 to 2026
$7.1M
Remote Data Enclave Core (RDEC)P30AG066587 · NIA · JOHNS HOPKINS UNIVERSITY · PI KATHERINE A ORNSTEIN · 2020 to 2026
$6.7M
NIA NIH HHS P30 AG059298NIA NIH HHS P30 AG066587
6 · The paper itself

Abstract

backgroundSubjective cognitive impairment (SCI) measures in population-based surveys offer potential for dementia surveillance, yet their validation against established dementia measures is lacking.

methodsWe assessed agreement between SCI and a validated probable dementia algorithm in a random one-third sample (n = 1936) of participants in the 2012 National Health and Aging Trends Study (NHATS).

resultsSCI was more prevalent than probable dementia (12.2% vs 8.4%). Agreement between measures was 90.0% and of substantial strength. Misclassification rates were higher among older and less-educated subgroups due to higher prevalence of false-positive misclassification but did not vary by sex or race and ethnicity. DISCUSSION: SCI sensitivity (63.4%) and specificity (92.5%) against dementia were comparable with similar metrics for the NHATS probable dementia measure against the "gold-standard" Aging, Demographics, and Memory Study-based dementia criteria, implying that population-based surveys may afford cost-effective opportunities for dementia surveillance to assess risk and inform policy. HIGHLIGHTS: The prevalence of subjective cognitive impairment (SCI) is generally higher than that of a validated measure of probable dementia, particularly within the youngest age group, females, Whites, and persons with a college or higher degree. Percent agreement between SCI and a validated measure of probable dementia was 90.0% and of substantial strength (prevalence- and bias-adjusted kappa, 0.80). Agreement rates were higher in older and less-educated subgroups, driven by the higher prevalence of false-positive disagreement, but did not vary significantly by sex or race and ethnicity. SCI's overall sensitivity and specificity were 63.4% and 92.5%, respectively, against a validated measure of probable dementia, suggesting utility as a low-cost option for dementia surveillance. Heterogeneity in agreement quality across subpopulations warrants caution in its use for subgroup analyses.

Indexed as

Cognition DisordersCognitive DysfunctionDementiaAgedAgingFemaleHumansSensitivity and SpecificityADRDAlzheimer's diseasedementiadisability questionnaireNHATSsubjective cognitive impairment

Identifiers

PMID38426381
PMCPMC11032562

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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.