Evidence map›Paper›PMID 41837677›Full record

ArticleJournal of Alzheimer's disease : JAD2026

Multidimensional self-reported sleep health, cognitive decline, and risk of all-cause dementia: A population-based multi-cohort study.

Sanne J W Hoepel, Nina Oryshkewych, Lisa L Barnes, Meryl Butters, Daniel Buysse, M Kamran Ikram, Andrew Lim, Frank J Wolters, Lan Yu, Meredith L Wallace and 1 more

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2026. 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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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Sanne J W HoepelDepartment of Epidemiology, Erasmus MC University Medical Centre, Rotterdam, Netherlands.ORCID 0000-0002-3685-5946
Nina OryshkewychUniversity of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Lisa L BarnesRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.
Meryl ButtersDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Daniel BuysseDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
M Kamran IkramDepartment of Epidemiology, Erasmus MC University Medical Centre, Rotterdam, Netherlands.
Andrew LimDepartment of Neurology, University of Toronto, Toronto, Ontario, Canada.
Frank J WoltersDepartment of Epidemiology, Erasmus MC University Medical Centre, Rotterdam, Netherlands.ORCID 0000-0003-2226-4050
Lan YuDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Meredith L WallaceDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Annemarie I LuikDepartment of Epidemiology, Erasmus MC University Medical Centre, Rotterdam, Netherlands.ORCID 0000-0001-7517-197X

Funding

Sleep Health Profiles Predicting Impaired Cognition and Depressive Symptoms in Older Adults: Extending Novel Statistical Methods in Multi-Cohort ApplicationsRF1AG056331 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WALLACE, MEREDITH JOANNE LOTZ · 2021 to 2021
$2.0M
NIA NIH HHS RF1 AG056331
6 · The paper itself

Abstract

BackgroundConsidering the multidimensional nature of self-report sleep health may improve identification of those at risk of accelerated cognitive decline and dementia.ObjectiveWe compared how composite measures of multidimensional sleep health relate to cognitive performance and the risk of dementia over time in older adults.MethodsSelf-reported indicators of sleep health domains (satisfaction, alertness, timing, efficiency, and duration) were measured in 7892 Rotterdam Study (RS) participants (mean ± SD age: 69.5 ± 8.9 years, 58.2% female) and 1601 Rush Memory and Aging Project and Minority Aging Research Project (MAP/MARS) participants (79.5 ± 7.9 years, 77.3% female). Sleep items were harmonized and used to derive a sleep health score (number of adverse sleep health items) and sleep health clusters (with latent class analysis). During follow-up, multiple cognitive tests were performed repeatedly and participants were followed for incident all-cause dementia. Relationships of sleep health with cognitive decline (linear mixed models) and risk of dementia (Cox proportional hazards models) were assessed in both samples, adjusting for covariates.ResultsThree sleep health clusters were identified: average sleep, inefficient sleep, and poor sleep. During follow-up of 10.6 ± 4.5 years in RS and 5.3 ± 2.9 years in MAP/MARS, 1148 (14.5%) and 286 (19.8%) participants developed dementia, respectively. Multidimensional sleep health scores and clusters were not significantly associated with accelerated cognitive decline or the risk of dementia in either sample (Hazard Ratios [HRs] between 0.72-1.15).ConclusionsFindings suggest composite measures of self-reported multidimensional sleep health need refinement to be useful in identifying older adults at risk of accelerated cognitive decline and dementia.

Indexed as

Cognitive DysfunctionDementiaSelf ReportSleepSleep Wake DisordersAgedAged, 80 and overCohort StudiesFemaleHumansMaleNeuropsychological TestsRisk FactorsSleep DurationAlzheimer's diseasecluster analysiscognitive functioncohort studiesdementiasleepsleep durationsleep quality

Identifiers

PMID41837677
PMCPMC13022024

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.