Evidence map›Paper›PMID 40225241›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)

Physical activity complexity, cognition, and risk of cognitive impairment and dementia in the Baltimore Longitudinal Study of Aging.

Yurun Cai, Junhong Zhou, Paul W Scott, Qu Tian, Amal A Wanigatunga, Lewis Lipsitz, Eleanor M Simonsick, Susan M Resnick, Luigi Ferrucci, Dianxu Ren and 2 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. 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

12 authors.

Yurun CaiDepartment of Health and Community Systems University of Pittsburgh School of Nursing Pittsburgh Pennsylvania USA.ORCID https://orcid.org/0000-0001-8264-8158
Junhong ZhouHinda and Arthur Marcus Institute for Aging Research Harvard Medical School Boston Massachusetts USA.
Paul W ScottDepartment of Health and Community Systems University of Pittsburgh School of Nursing Pittsburgh Pennsylvania USA.
Qu TianIntramural Research Program National Institute on Aging Baltimore Maryland USA.
Amal A WanigatungaDepartment of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA.
Lewis LipsitzHinda and Arthur Marcus Institute for Aging Research Harvard Medical School Boston Massachusetts USA.
Eleanor M SimonsickIntramural Research Program National Institute on Aging Baltimore Maryland USA.
Susan M ResnickIntramural Research Program National Institute on Aging Baltimore Maryland USA.
Luigi FerrucciIntramural Research Program National Institute on Aging Baltimore Maryland USA.
Dianxu RenDepartment of Health and Community Systems University of Pittsburgh School of Nursing Pittsburgh Pennsylvania USA.
Jennifer H LinglerDepartment of Health and Community Systems University of Pittsburgh School of Nursing Pittsburgh Pennsylvania USA.
Jennifer A SchrackDepartment of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA.

Funding

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2020 to 2026
$29.3M
Novel application of Digital signals of movement, sleep and heart rhythms for detection of Alzheimer's Disease and Related DementiasR01AG075883 · NIA · JOHNS HOPKINS UNIVERSITY · PI Lin Yee Chen, Ciprian M Crainiceanu · 2022 to 2026
$3.8M
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
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
NIA NIH HHS K01 AG076967NIA NIH HHS P30 AG066507NIA NIH HHS R01 AG075883NIA NIH HHS U01 AG057545
6 · The paper itself

Abstract

introductionStudies on physical activity (PA) and dementia mainly focus on activity quantity or intensity. Yet PA requires neuro-coordination of movement, and it is unclear whether complexity of daily activity varies by cognitive status. Thus, we examined the association between PA complexity, using multiscale entropy, and cognitive function, mild cognitive impairment (MCI), and dementia in older adults in the Baltimore Longitudinal Study of Aging (BLSA).

methodsA total of 637 older adults (age 73.9 ± 11.3 years) in the BLSA completed a 7-day wrist-worn accelerometer assessment and neuropsychological tests from 2015 to 2020. Using logistic regression and structural equation modeling, we examined cross-sectional associations of PA complexity with MCI/dementia and cognition. Cross-lagged panel models (CLPMs) were used to assess bidirectional associations at baseline and 2-year follow-up. Multivariable models were adjusted for age, sex, race, education years, body mass index, and comorbidities.

resultsParticipants in the lowest tertile of PA complexity had over double the odds of MCI/dementia (odds ratio = 2.63, 95% confidence interval [CI]: 1.02 to 6.79, DISCUSSION: Lower complexity of accelerometry-detected movement is associated with poorer cognition and higher risk of MCI/dementia. Future studies should explore whether low PA complexity is an early indicator of dementia. Highlights: Prior studies mainly focused on quantity or intensity of physical activity.Poorer cognitive function was associated with lower complexity of daily activity.Lower complexity of physical activity may be an early indicator of dementia.

Indexed as

cognitive functioncognitive impairmentdementiaphysical activitystructural equation modeling

Identifiers

PMID40225241
PMCPMC11982518

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.