Evidence map›Paper›PMID 38355598›Full record

ArticleAlzheimer's research & therapy2024

Impaired 24-h activity patterns are associated with an increased risk of Alzheimer's disease, Parkinson's disease, and cognitive decline.

Joseph R Winer, Renske Lok, Lara Weed, Zihuai He, Kathleen L Poston, Elizabeth C Mormino, Jamie M Zeitzer

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
35.5field-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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  8. Association of physical activity and rest-activity rhythm with sustained attention and melatonin among community-dwelling older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
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  16. Sleep Abnormalities and Risk of Alzheimer's Disease.Current neurology and neuroscience reports · 2025
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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

7 authors at 2 institutions in 1 country.

Joseph R WinerDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA. jwiner@stanford.edu.
Renske LokDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Lara WeedDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Zihuai HeDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA.
Kathleen L PostonDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA.
Elizabeth C MorminoDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA.
Jamie M ZeitzerDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Stanford University · USNeurosciences Institute · US

Funding

Stanford Alzheimer's Disease Research CenterAdmin Supp: Developing iPSC models for AD and PDP30AG066515 · NIA · STANFORD UNIVERSITY · PI LU TIAN · 2020 to 2026
$29.0M
Characterizing sleep-wake activity patterns to detect early Alzheimer's disease in normal older individualsF32AG074625 · NIA · STANFORD UNIVERSITY · PI WINER, JOSEPH ROBERT · 2021 to 2023
$207k
NIA NIH HHS F32 AG074625NIA NIH HHS P30 AG066515
6 · The paper itself

Abstract

backgroundSleep-wake regulating circuits are affected during prodromal stages in the pathological progression of both Alzheimer's disease (AD) and Parkinson's disease (PD), and this disturbance can be measured passively using wearable devices. Our objective was to determine whether accelerometer-based measures of 24-h activity are associated with subsequent development of AD, PD, and cognitive decline.

methodsThis study obtained UK Biobank data from 82,829 individuals with wrist-worn accelerometer data aged 40 to 79 years with a mean (± SD) follow-up of 6.8 (± 0.9) years. Outcomes were accelerometer-derived measures of 24-h activity (derived by cosinor, nonparametric, and functional principal component methods), incident AD and PD diagnosis (obtained through hospitalization or primary care records), and prospective longitudinal cognitive testing.

resultsOne hundred eighty-seven individuals progressed to AD and 265 to PD. Interdaily stability (a measure of regularity, hazard ratio [HR] per SD increase 1.25, 95% confidence interval [CI] 1.05-1.48), diurnal amplitude (HR 0.79, CI 0.65-0.96), mesor (mean activity; HR 0.77, CI 0.59-0.998), and activity during most active 10 h (HR 0.75, CI 0.61-0.94), were associated with risk of AD. Diurnal amplitude (HR 0.28, CI 0.23-0.34), mesor (HR 0.13, CI 0.10-0.16), activity during least active 5 h (HR 0.24, CI 0.08-0.69), and activity during most active 10 h (HR 0.20, CI 0.16-0.25) were associated with risk of PD. Several measures were additionally predictive of longitudinal cognitive test performance.

conclusionsIn this community-based longitudinal study, accelerometer-derived metrics were associated with elevated risk of AD, PD, and accelerated cognitive decline. These findings suggest 24-h rhythm integrity, as measured by affordable, non-invasive wearable devices, may serve as a scalable early marker of neurodegenerative disease.

Indexed as

Alzheimer DiseaseCognitive DysfunctionNeurodegenerative DiseasesParkinson DiseaseHumansLongitudinal StudiesProspective StudiesAlzheimer’s diseaseCognitive agingParkinson’s diseaseRest-activity rhythms

Identifiers

PMID38355598
PMCPMC10865579
OpenAlexW4391814967

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.