Evidence map›Paper›PMID 40225239›Full record

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

Activity variability: A novel physical activity metric and its association with cognitive impairment.

Patrick T Donahue, Jennifer A Schrack, Johannes Thrul, Michelle C Carlson

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 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. 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
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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

4 authors.

Patrick T DonahueDepartment of Mental Health Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA.ORCID https://orcid.org/0000-0003-3994-7384
Jennifer A SchrackCenter on Aging and Health Johns Hopkins University Baltimore Maryland USA.
Johannes ThrulDepartment of Mental Health Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA.
Michelle C CarlsonDepartment of Mental Health Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA.

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
EPIDEMIOLOGY AND BIOSTATISTICS OF AGINGT32AG000247 · NIA · JOHNS HOPKINS UNIVERSITY · PI Karen J. Bandeen-Roche · 1996 to 2026
$13.2M
NIA NIH HHS P30 AG066507NIA NIH HHS T32 AG000247NIA NIH HHS U01 AG032947
6 · The paper itself

Abstract

introductionEvidence suggests that engaging in a high volume of daily or weekly physical activity may reduce the risk of cognitive impairment due to Alzheimer's disease and related dementias (ADRD). However, activity variability and its associations with cognition are underexplored. We examined whether activity variability, measured at the minute level, may capture movement patterns that provide insight into cognitive impairment risk.

methodsUsing a cross-sectional sample of 711 older adults (mean [standard deviation] age = 79.1 [6.0] years]) from the National Health and Aging Trends Study in 2021, we calculated a novel metric of activity variability, defined as the standard deviation of minute-to-minute changes in accelerometer activity counts across the 7 day wear period. We investigated associations between activity variability and other activity metrics with cognitive impairment using logistic regression models.

resultsLower activity variability was associated with increased odds of cognitive impairment (odds ratio [OR] = 2.23; 95% confidence interval [CI: 1.26-3.97]), even after accounting for total activity counts and other covariates. In receiver operating characteristic curve analyses, activity variability was the strongest predictor of prevalent cognitive impairment compared to other activity metrics (area under the curve = 0.787; 95% CI [0.742-0.832]). DISCUSSION: Activity variability, measured at the minute level, may capture complexity of daily activities and may serve as a novel indicator of cognitive health. Low activity variability may signal underlying neurological processes that contribute to ADRD risk. Further investigation into potential biological mechanisms that may explain the observed associations between activity variability and cognition is warranted. Highlights: We created a novel metric using variability of minute-level changes in activity counts.Low activity variability was associated with a greater prevalence of cognitive impairment.Activity variability outperformed other activity metrics in area under the receiver operating characteristic curve analyses.Future work should examine underlying neurological mechanisms.

Indexed as

accelerometryAlzheimer's disease and related dementiascognitive impairmentcohort studiesNational Health and Aging Trends Studyphysical activity

Identifiers

PMID40225239
PMCPMC11982928

What Socratic holds

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LicenceCC BY-NC
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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.