Evidence map›Paper›PMID 41736380›Full record

ArticleBehavioral sleep medicine

Counting Zs: Determining the Monitoring Days Needed to Obtain Reliable Sleep Metrics in Older Adults with Mild Cognitive Impairment.

Jun Ha Chang, Xinyu Sun, Su Chen, Ying Zhang, Daniel L Murman, Vaishali Phatak, Jennifer Merickel, Elizabeth Vlock, Matthew Rizzo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Behavioral sleep medicine. 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

9 authors.

Jun Ha ChangNeurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA.
Xinyu SunBiostatistics, University of Nebraska Medical Center, Omaha, NE, USA.
Su ChenBiostatistics, University of Nebraska Medical Center, Omaha, NE, USA.
Ying ZhangBiostatistics, University of Nebraska Medical Center, Omaha, NE, USA.
Daniel L MurmanNeurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA.
Vaishali PhatakNeurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA.
Jennifer MerickelDivision of Behavioral and Social Research, National Institute on Aging, National Institutes of Health, MD, USA.
Elizabeth VlockNeurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA.
Matthew RizzoNeurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA.

Funding

National Alzheimer's Coordinating CenterU24AG072122 · NIA · UNIVERSITY OF WASHINGTON · PI STEPHENS, KARI A · 2021 to 2025
$45.8M
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Serggio Carlo Lanata · 2019 to 2026
$36.9M
Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI BRADFORD C DICKERSON · 2019 to 2026
$36.5M
UCSD Shiley-Marcos Alzheimer's Disease Research Center P30P30AG062429 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Steven Dyal Edland · 2019 to 2026
$34.9M
Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI AMY J. KIND · 2019 to 2026
$34.5M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI Walter K. Kremers · 2019 to 2026
$33.5M
Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI NIKOLAOS K ROBAKIS · 2020 to 2026
$31.0M
Yale Alzheimer Disease Research CenterP30AG066508 · NIA · YALE UNIVERSITY · PI STEPHEN M STRITTMATTER · 2020 to 2026
$30.2M
Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Andrew Franklin Teich · 2020 to 2026
$30.1M
Research Education ComponentP30AG066468 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN · 2020 to 2026
$29.4M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI SUMAN JAYADEV · 2020 to 2026
$29.0M
NIA NIH HHS P20 AG068024NIA NIH HHS P20 AG068053NIA NIH HHS P20 AG068077NIA NIH HHS P20 AG068082NIA NIH HHS P30 AG062421NIA NIH HHS P30 AG062422NIA NIH HHS P30 AG062429NIA NIH HHS P30 AG062677NIA NIH HHS P30 AG062715NIA NIH HHS P30 AG066444NIA NIH HHS P30 AG066462NIA NIH HHS P30 AG066468NIA NIH HHS P30 AG066506NIA NIH HHS P30 AG066507NIA NIH HHS P30 AG066508NIA NIH HHS P30 AG066509NIA NIH HHS P30 AG066511NIA NIH HHS P30 AG066512NIA NIH HHS P30 AG066514NIA NIH HHS P30 AG066515NIA NIH HHS P30 AG066518NIA NIH HHS P30 AG066519NIA NIH HHS P30 AG066530NIA NIH HHS P30 AG066546NIA NIH HHS P30 AG072931NIA NIH HHS P30 AG072946NIA NIH HHS P30 AG072947NIA NIH HHS P30 AG072958NIA NIH HHS P30 AG072959NIA NIH HHS P30 AG072972NIA NIH HHS P30 AG072973NIA NIH HHS P30 AG072975NIA NIH HHS P30 AG072976NIA NIH HHS P30 AG072977NIA NIH HHS P30 AG072978NIA NIH HHS P30 AG072979NIA NIH HHS R01 AG017177NIA NIH HHS R01 AG079280NIA NIH HHS U24 AG072122
6 · The paper itself

Abstract

objectiveThis study aims to determine the minimum number of days required to obtain reliable actigraphy-measured sleep metrics in older adults with Mild Cognitive Impairment (MCI).

methodsOne hundred and fourteen older adults (61 with MCI, 53 cognitively unimpaired) wore wrist-worn actigraphy devices for at least 60 days. Total sleep time (TST), sleep efficiency (SE), and wake after sleep onset (WASO) were calculated over cumulative windows (2 - 59) and compared to 60-day reference values using linear mixed-effect regression models. Sensitivity analyses were conducted using 30- and 45-day references.

resultsAcross all participants, reliable estimates required a minimum of 8 days for TST and 6 days for SE and WASO. Participants with MCI required more days than controls (9 vs. 2 days for TST, 7 vs. 4 days for SE, and 6 vs. 2 days for WASO). Sensitivity analyses showed that shorter monitoring periods (30 and 45 days) could still provide reliable metrics.

conclusionsTo obtain reliable sleep metrics, at least 9 days of actigraphy data are needed for older adults with MCI, compared to 4 days for controls, suggesting the need for extended monitoring in cognitively impaired individuals.

Indexed as

ActigraphyCognitive DysfunctionSleepAgedAged, 80 and overFemaleHumansMaleReproducibility of ResultsSleep DurationSleep QualityTime Factors

Identifiers

PMID41736380
PMCPMC13390599

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.