Evidence map›Paper›PMID 38381532›Full record

ArticleSleep2024

Evaluating a novel 24-hour rest/activity rhythm marker of preclinical β-amyloid deposition.

Adam P Spira, Fangyu Liu, Vadim Zipunnikov, Murat Bilgel, Jill A Rabinowitz, Yang An, Junrui Di, Jiawei Bai, Sarah K Wanigatunga, Mark N Wu and 8 more

Open access · greenAbstract read
In one paragraph

Article in Sleep, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Differences in Daily Physical Activity by Alzheimer's Risk Markers Among Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
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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

18 authors at 4 institutions in 1 country.

Adam P SpiraDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0003-1507-0995
Fangyu LiuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Vadim ZipunnikovDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Murat BilgelNational Institute on Aging Intramural Research Program, Baltimore MD, USA.ORCID 0000-0001-5042-7422
Jill A RabinowitzDepartment of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA.ORCID 0000-0002-3674-8032
Yang AnNational Institute on Aging Intramural Research Program, Baltimore MD, USA.
Junrui DiDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Jiawei BaiDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0003-4021-0101
Sarah K WanigatungaDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Mark N WuDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Brendan P LuceyDepartment of Neurology, Washington University School of Medicine, St Louis, MO, USA.ORCID 0000-0001-5400-825X
Jennifer A SchrackJohns Hopkins Center on Aging and Health, Baltimore, MD, USA.ORCID 0000-0001-9244-9267
Amal A WanigatungaJohns Hopkins Center on Aging and Health, Baltimore, MD, USA.ORCID 0000-0002-5763-5184
Paul B RosenbergDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Eleanor M SimonsickNational Institute on Aging Intramural Research Program, Baltimore MD, USA.ORCID 0000-0002-5460-3494
Keenan A WalkerNational Institute on Aging Intramural Research Program, Baltimore MD, USA.
Luigi FerrucciNational Institute on Aging Intramural Research Program, Baltimore MD, USA.ORCID 0000-0002-6273-1613
Susan M ResnickNational Institute on Aging Intramural Research Program, Baltimore MD, USA.
Johns Hopkins University · USNational Institute on Aging · USRutgers, The State University of New Jersey · USWashington University in St. Louis · US

Funding

The Baltimore Longitudinal Study Of AgingZIAAG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI SIMONSICK, ELEANOR MARIE · 2009 to 2025
$116.9M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
Neuroimaging Predictors of Cognitive Decline, Impairment, and ResilienceZIAAG000191 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$26.4M
Early Markers of Alzheimer DiseaseZIAAG000185 · NIA · NATIONAL INSTITUTE ON AGING · PI WALKER, KEENAN · 2009 to 2025
$20.4M
Poor Sleep Altered Circadian Rhythms and Alzheimers DiseaseR01AG050507 · NIA · JOHNS HOPKINS UNIVERSITY · PI SPIRA, ADAM PETER · 2015 to 2019
$2.5M
NIA NIH HHS P30 AG066507NIA NIH HHS R01 AG050507NIA NIH HHS R01AG050507NIH HHS HHSN-260-2004-00012C.
6 · The paper itself

Abstract

STUDY

objectivesTo compare sleep and 24-hour rest/activity rhythms (RARs) between cognitively normal older adults who are β-amyloid-positive (Aβ+) or Aβ- and replicate a novel time-of-day-specific difference between these groups identified in a previous exploratory study.

methodsWe studied 82 cognitively normal participants from the Baltimore Longitudinal Study of Aging (aged 75.7 ± 8.5 years, 55% female, 76% white) with wrist actigraphy data and Aβ+ versus Aβ- status measured by [11C] Pittsburgh compound B positron emission tomography. RARs were calculated using epoch-level activity count data from actigraphy. We used novel, data-driven function-on-scalar regression analyses and standard RAR metrics to cross-sectionally compare RARs between 25 Aβ+ and 57 Aβ- participants.

resultsCompared to Aβ- participants, Aβ+ participants had higher mean activity from 1:00 p.m. to 3:30 p.m. when using less conservative pointwise confidence intervals (CIs) and from 1:30 p.m. to 2:30 p.m. using more conservative, simultaneous CIs. Furthermore, Aβ+ participants had higher day-to-day variability in activity from 9:00 a.m. to 11:30 a.m. and lower variability from 1:30 p.m. to 4:00 p.m. and 7:30 p.m. to 10:30 p.m. according to pointwise CIs, and lower variability from 8:30 p.m. to 10:00 p.m. using simultaneous CIs. There were no Aβ-related differences in standard sleep or RAR metrics.

conclusionsFindings suggest Aβ+ older adults have higher, more stable day-to-day afternoon/evening activity than Aβ- older adults, potentially reflecting circadian dysfunction. Studies are needed to replicate our findings and determine whether these or other time-of-day-specific RAR features have utility as markers of preclinical Aβ deposition and if they predict clinical dementia and agitation in the afternoon/evening (i.e. "sundowning").

Indexed as

ActigraphyAmyloid beta-PeptidesPositron-Emission TomographyAgedAged, 80 and overAniline CompoundsBiomarkersBrainCircadian RhythmCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleRestSleep2-(4'-(methylamino)phenyl)-6-hydroxybenzothiazoleAmyloid beta-PeptidesAniline CompoundsBiomarkersThiazolesactigraphyAlzheimer’sbiomarkerCircadiandementiasleep

Identifiers

PMID38381532
PMCPMC11082462
OpenAlexW4392018176

What OpenQuestion holds

Textmetadata
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.