Evidence map›Paper›PMID 35599480›Full record

ArticleJournal of Alzheimer's disease : JAD2022

Daily Physical Activity Patterns as a Window on Cognitive Diagnosis in the Baltimore Longitudinal Study of Aging (BLSA).

Amal A Wanigatunga, Fangyu Liu, Hang Wang, Jacek K Urbanek, Yang An, Adam P Spira, Ryan J Dougherty, Qu Tian, Abhay Moghekar, Luigi Ferrucci and 3 more

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. A sensorimotor function construct to assess mild cognitive impairment risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Not just how much, but how it's done: movement activity bout distributions and everyday cognition in older adults with elevated dementia risk.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Article
  4. Article
  5. Article
  6. Every move counts: but some more than others.The international journal of behavioral nutrition and physical activity · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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
  12. Cross-sectional associations between patterns and composition of upright and stepping events with physical function: insights from The Maastricht Study.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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

13 authors.

Amal A WanigatungaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Fangyu LiuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Hang WangDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Jacek K UrbanekCenter on Aging and Health, Johns Hopkins University, Baltimore, MD, USA.
Yang AnIntramural Research Program, National Institute on Aging, Baltimore, MD, USA.
Adam P SpiraCenter on Aging and Health, Johns Hopkins University, Baltimore, MD, USA.
Ryan J DoughertyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Qu TianIntramural Research Program, National Institute on Aging, Baltimore, MD, USA.
Abhay MoghekarDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Luigi FerrucciIntramural Research Program, National Institute on Aging, Baltimore, MD, USA.
Eleanor M SimonsickIntramural Research Program, National Institute on Aging, Baltimore, MD, USA.
Susan M ResnickIntramural Research Program, National Institute on Aging, Baltimore, MD, USA.
Jennifer A SchrackDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

The Baltimore Longitudinal Study Of AgingZIAAG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI SIMONSICK, ELEANOR MARIE · 2009 to 2025
$116.9M
Early Markers of Alzheimer DiseaseZIAAG000185 · NIA · NATIONAL INSTITUTE ON AGING · PI WALKER, KEENAN · 2009 to 2025
$20.4M
Research Training in Age-Related Cognitive DisordersT32AG027668 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2007 to 2026
$6.3M
Contribution of sensorimotor function to risk and pathogenic mechanisms of Alzheimer's disease and related dementiasR01AG061786 · NIA · JOHNS HOPKINS UNIVERSITY · PI AGRAWAL, YURI, LIN, FRANK R · 2019 to 2023
$3.7M
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
NIA NIH HHS R01 AG061786NIA NIH HHS T32 AG027668NIA NIH HHS U01 AG057545
6 · The paper itself

Abstract

backgroundGradual disengagement from daily physical activity (PA) could signal present or emerging mild cognitive impairment (MCI) or Alzheimer's disease (AD).

objectiveThis study examined whether accelerometry-derived patterns of everyday movement differ by cognitive diagnosis in participants of the Baltimore Longitudinal Study of Aging (BLSA).

methodsActivity patterns, overall and by time-of-day, were cross-sectionally compared between participants with adjudicated normal cognition (n = 549) and MCI/AD diagnoses (n = 36; 5 participants [14%] living with AD) using covariate-adjusted regression models.

resultsCompared to those with normal cognition, those with MCI/AD had 2.1% higher activity fragmentation (SE = 1.0%, p = 0.036) but similar mean total activity counts/day (p = 0.075) and minutes/day spent active (p = 0.174). Time-of-day analyses show MCI/AD participants had lower activity counts and minutes spent active during waking hours (6:00 am-5:59 pm; p < 0.01 for all). Also, they had lower activity fragmentation from 12:00-5:59 am (p < 0.001), but higher fragmentation from 12:00-5:59 pm (p = 0.026).

conclusionDifferences in the timing and patterns of physical activity throughout the day linked to MCI/AD diagnoses warrant further investigation into potential clinical utility.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgingBaltimoreCognitionExerciseHumansLongitudinal StudiesAccelerometryAlzheimer’s diseasediurnal patternsmild cognitive impairment

Identifiers

PMID35599480
PMCPMC12276952

What Socratic holds

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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 Socratic graph.