Evidence map›Paper›PMID 38048131›Full record

ArticleJAMA network open2023

Longitudinal Sleep Patterns and Cognitive Impairment in Older Adults.

Samantha A Keil, Abigail G Schindler, Marie X Wang, Juan Piantino, Lisa C Silbert, Jonathan E Elliott, Madeleine L Werhane, Ronald G Thomas, Sherry Willis, Miranda M Lim and 1 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
14.3field-weighted citation impact, top 1% of its field
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

42 citing papers in PubMed, 56 citations in OpenAlex.

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  5. Association of sleep duration with Alzheimer's disease and cognition.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  19. Sleep Abnormalities and Risk of Alzheimer's Disease.Current neurology and neuroscience reports · 2025
    Review
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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

11 authors at 7 institutions in 1 country.

Samantha A KeilVISN 20 Northwest Mental Illness Research, Education and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, Washington.
Abigail G SchindlerVISN 20 Northwest Mental Illness Research, Education and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, Washington.
Marie X WangVISN 20 Northwest Mental Illness Research, Education and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, Washington.
Juan PiantinoDepartment of Pediatrics, Oregon Health & Science University, Portland.
Lisa C SilbertDepartment of Neurology, Oregon Health & Science University, Portland.
Jonathan E ElliottDepartment of Neurology, Oregon Health & Science University, Portland.
Madeleine L WerhaneVISN 20 Northwest Mental Illness Research, Education and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, Washington.
Ronald G ThomasSchool of Public Health, University of California, San Diego.
Sherry WillisDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle.
Miranda M LimVISN 20 Northwest Mental Illness Research, Education and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, Washington.
Jeffrey J IliffVISN 20 Northwest Mental Illness Research, Education and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, Washington.
Oregon Health & Science University · USUniversity of Washington · USCornell University · USMental Illness Research, Education and Clinical Centers · USUniversity of California, San Diego · USVA Portland Health Care System · USVA Puget Sound Health Care System · US

Funding

Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Zachary Beattie · 2020 to 2026
$28.6M
Neurobehavior, Neuropathology, and Risk Factors in Alzheimer's DiseaseT32AG052354 · NIA · UNIVERSITY OF WASHINGTON · PI Brian C. Kraemer, ELAINE R. PESKIND · 2016 to 2026
$6.7M
Defining the role of age-related glymphatic pathway impairment in amyloid beta plaque depositionR01AG054456 · NIA · SEATTLE INST FOR BIOMEDICAL/CLINICAL RES · PI ILIFF, JEFFREY J · 2017 to 2021
$1.8M
Seattle Longitudinal Study: Archiving, Harmonizing and Augmenting Alzheimer's Disease Relevant Data SetsR01AG055653 · NIA · UNIVERSITY OF WASHINGTON · PI TOGA, ARTHUR W, WILLIS, SHERRY L · 2017 to 2020
$1.8M
NIA NIH HHS P30 AG066518NIA NIH HHS R01 AG054456NIA NIH HHS R01 AG055653NIA NIH HHS T32 AG052354RRD VA IK2 RX002947
6 · The paper itself

Abstract

Importance: Sleep disturbances and clinical sleep disorders are associated with all-cause dementia and neurodegenerative conditions, but it remains unclear how longitudinal changes in sleep impact the incidence of cognitive impairment. Objective: To evaluate the association of longitudinal sleep patterns with age-related changes in cognitive function in healthy older adults. Design, Setting, and Participants: This cross-sectional study is a retrospective longitudinal analyses of the Seattle Longitudinal Study (SLS), which evaluated self-reported sleep duration (1993-2012) and cognitive performance (1997-2020) in older adults. Participants within the SLS were enrolled as part of a community-based cohort from the Group Health Cooperative of Puget Sound and Health Maintenance Organization of Washington between 1956 and 2020. Data analysis was performed from September 2020 to May 2023. Main Outcomes and Measures: The main outcome for this study was cognitive impairment, as defined by subthreshold performance on both the Mini-Mental State Examination and the Mattis Dementia Rating Scale. Sleep duration was defined by self-report of median nightly sleep duration over the last week and was assessed longitudinally over multiple time points. Median sleep duration, sleep phenotype (short sleep, median ≤7 hours; medium sleep, median = 7 hour; long sleep, median ≥7 hours), change in sleep duration (slope), and variability in sleep duration (SD of median sleep duration, or sleep variability) were evaluated. Results: Of the participants enrolled in SLS, only 1104 participants who were administered both the Health Behavior Questionnaire and the neuropsychologic battery were included for analysis in this study. A total of 826 individuals (mean [SD] age, 76.3 [11.8] years; 468 women [56.7%]; 217 apolipoprotein E ε4 allele carriers [26.3%]) had complete demographic information and were included in the study. Analysis using a Cox proportional hazard regression model (concordance, 0.76) showed that status as a short sleeper (hazard ratio, 3.67; 95% CI, 1.59-8.50) and higher sleep variability (hazard ratio, 3.06; 95% CI, 1.14-5.49) were significantly associated with the incidence of cognitive impairment. Conclusions and Relevance: In this community-based longitudinal study of the association between sleep patterns and cognitive performance, the short sleep phenotype was significantly associated with impaired cognitive performance. Furthermore, high sleep variability in longitudinal sleep duration was significantly associated with the incidence of cognitive impairment, highlighting the possibility that instability in sleep duration over long periods of time may impact cognitive decline in older adults.

Indexed as

Cognitive DysfunctionSleep Wake DisordersAgedCross-Sectional StudiesFemaleHumansLongitudinal StudiesRetrospective StudiesSleep

Identifiers

PMID38048131
PMCPMC10696486
OpenAlexW4389306271

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.