Evidence map›Paper›PMID 38742659›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2024

Differences in Daily Physical Activity by Alzheimer's Risk Markers Among Older Adults.

Francesca R Marino, Jennifer A Deal, Ryan J Dougherty, Murat Bilgel, Qu Tian, Yang An, Eleanor M Simonsick, Susan M Resnick, Luigi Ferrucci, Adam P Spira and 2 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Objective physical activity and Alzheimer's disease burden in the population-based Rotterdam Study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  5. Review
  6. Review
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

12 authors.

Francesca R MarinoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-9641-052X
Jennifer A DealDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-6985-048X
Ryan J DoughertyDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Murat BilgelIntramural Research Program, National Institute on Aging, Baltimore, Maryland, USA.ORCID 0000-0001-5042-7422
Qu TianIntramural Research Program, National Institute on Aging, Baltimore, Maryland, USA.ORCID 0000-0003-2706-1439
Yang AnIntramural Research Program, National Institute on Aging, Baltimore, Maryland, USA.
Eleanor M SimonsickIntramural Research Program, National Institute on Aging, Baltimore, Maryland, USA.ORCID 0000-0002-5460-3494
Susan M ResnickIntramural Research Program, National Institute on Aging, Baltimore, Maryland, USA.
Luigi FerrucciIntramural Research Program, National Institute on Aging, Baltimore, Maryland, USA.ORCID 0000-0002-6273-1613
Adam P SpiraCenter on Aging & Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0003-1507-0995
Amal A WanigatungaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-5763-5184
Jennifer A SchrackDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-9244-9267

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 JUAN TRONCOSO · 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
CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5M
Research Training in Age-Related Cognitive DisordersT32AG027668 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2007 to 2026
$6.3M
Energy Reserves, Physical Activity, and Alzheimer's Disease in the Baltimore Longitudinal Study of AgingU01AG057545 · NIA · JOHNS HOPKINS UNIVERSITY · PI SCHRACK, JENNIFER ANN · 2017 to 2021
$3.0M
Role and Mechanism of Hearing Impairment in Cognitive Decline and DementiaK01AG054693 · NIA · JOHNS HOPKINS UNIVERSITY · PI DEAL, JENNIFER ANNE · 2017 to 2022
$773k
The START trial: a proof-of-concept sedentary reduction program for prefrail older adultsK01AG076967 · NIA · JOHNS HOPKINS UNIVERSITY · PI Amal Asiri Wanigatunga · 2022 to 2026
$651k
Energy expenditure, cognitive function, and biomarker features of Alzheimer's diseaseK01AG080122 · NIA · RUTGERS, THE STATE UNIV OF N.J. · PI Ryan James Dougherty · 2023 to 2026
$501k
Intramural Research ProgramNHLBI NIH HHS T32 HL007024NIA NIH HHS K01 AG054693NIA NIH HHS K01AG054693NIA NIH HHS K01 AG076967NIA NIH HHS K01 AG080122NIA NIH HHS P30 AG066507NIA NIH HHS T32 AG027668NIA NIH HHS U01 AG057545
6 · The paper itself

Abstract

backgroundDaily physical activity patterns differ by Alzheimer's disease (AD) status and might signal cognitive risk. It is critical to understand whether patterns are disrupted early in the AD pathological process. Yet, whether established AD risk markers (β-amyloid [Aβ] or apolipoprotein E-ε4 [APOE-ε4]) are associated with differences in objectively measured activity patterns among cognitively unimpaired older adults is unclear.

methodsWrist accelerometry, brain Aβ (+/-), and APOE-ε4 genotype were collected in 106 (Aβ) and 472 (APOE-ε4) participants (mean age 76 [standard deviation{SD}: 8.5) or 75 [SD: 9.2] years, 60% or 58% women) in the Baltimore Longitudinal Study of Aging. Adjusted linear and function-on-scalar regression models examined whether Aβ or APOE-ε4 status was cross-sectionally associated with activity patterns (amount, variability, or fragmentation) overall and by time of day, respectively. Differences in activity patterns by combinations of Aβ and APOE-ε4 status were descriptively examined (n = 105).

resultsThere were no differences in any activity pattern by Aβ or APOE-ε4 status overall. Aβ+ was associated with lower total amount and lower within-day variability of physical activity overnight and early evening, and APOE-ε4 carriers had higher total amount of activity in the evening and lower within-day variability of activity in the morning. Diurnal curves of activity were blunted among those with Aβ+ regardless of APOE-ε4 status, but only when including older adults with mild cognitive impairment/dementia.

conclusionsAβ+ in cognitively unimpaired older adults might manifest as lower amount and variability of daily physical activity, particularly during overnight/evening hours. Future research is needed to examine changes in activity patterns in larger samples and by other AD biomarkers.

Indexed as

AccelerometryAlzheimer DiseaseAmyloid beta-PeptidesApolipoprotein E4BiomarkersAgedAged, 80 and overBaltimoreCross-Sectional StudiesExerciseFemaleGenotypeHumansLongitudinal StudiesMaleRisk FactorsAmyloid beta-PeptidesApolipoprotein E4BiomarkersAccelerometryActigraphAmyloid-βDementiaNeuroimaging

Identifiers

PMID38742659
PMCPMC11157965

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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.