Evidence map›Paper›PMID 41445604›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Can objective measures of physical activity and sleep serve as early predictors of dementia among individuals with cognitive impairment?

Victoria L Orr, Karl Brown, Katie Wilson, Pamela Dean, Shu-Ching Hu, Daniel Levendowski, Edmund Seto, Andrew Shutes-David, Sarah Payne, Yeilim Cho and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

Victoria L OrrVISN-20 Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA.ORCID 0009-0009-6556-2577
Karl BrownVISN-20 Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA.ORCID 0000-0001-8132-1196
Katie WilsonVISN-20 Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA.
Pamela DeanVISN-20 Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA.ORCID 0000-0002-5874-5625
Shu-Ching HuVISN-20 Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA.
Daniel LevendowskiAdvanced Brain Monitoring, Inc., Carlsbad, CA, USA.ORCID 0000-0003-1278-6349
Edmund SetoDepartment of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, WA, USA.ORCID 0000-0003-4058-0313
Andrew Shutes-DavidVISN-20 Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA.ORCID 0000-0003-2478-4391
Sarah PayneVISN-20 Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA.
Yeilim ChoDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Debby W TsuangVISN-20 Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA.ORCID 0000-0002-4716-1894

Funding

Use of wearable sensors to improve the early diagnosis of DLBR33AG064271 · NIA · SEATTLE INST FOR BIOMEDICAL/CLINICAL RES · PI TSUANG, DEBBY WEN · 2022 to 2024
$2.1M
Use of wearable sensors to improve the early diagnosis of DLBR21AG064271 · NIA · SEATTLE INST FOR BIOMEDICAL/CLINICAL RES · PI TSUANG, DEBBY WEN · 2019 to 2020
$415k
NIA NIH HHS R21 AG064271NIA NIH HHS R33 AG064271
6 · The paper itself

Abstract

Background and Objectives: Physical activity and sleep are potential modifiable risk factors for the development of Alzheimer's disease and related disorders (ADRD), but few studies have objectively measured both domains in participants across the cognitive continuum. Research Design and Methods: Standard clinical assessment, accelerometry, and at-home EEG sleep data were obtained from older controls (n=9) and adults who met consensus diagnostic criteria for mild cognitive impairment (MCI; n=7), Alzheimer's disease (AD; n=10), and dementia with Lewy bodies (DLB; n=11). Given these sample sizes, descriptive statistics are presented rather than formal statistical testing. Results: The MCI group had the most surprising findings-although they were cognitively similar to the control group, they were less physically active than the AD group and had the worst sleep efficiency. The DLB group had the most severe motor and neuropsychiatric symptoms, were the least physically active, spent the least amount of time in rapid eye movement (REM) sleep, and spent the highest amount of time in non-REM sleep with hypotonia (NRH). The AD group had physical activity counts that fell between the DLB and control groups; REM sleep and NRH levels that were similar to the control and MCI groups; and autonomic activation index (AAI) and sleep spindle durations that were higher than the MCI and DLB groups. Discussion and Implications: These findings highlight interesting physical activity and sleep patterns between groups, but larger samples are needed to investigate how objectively measured physical activity and sleep might serve as disease-specific digital biomarkers of neurodegenerative disorders.

Indexed as

accelerometryAlzheimer’s diseasedementia with Lewy bodiesmild cognitive impairmentpolysomnography

Identifiers

PMID41445604
PMCPMC12724154

What OpenQuestion holds

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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 OpenQuestion graph.