Evidence map›Paper›PMID 40939123›Full record

Observational studyJournal of medical Internet research2025

Passive Measures of Physical Activity and Cadence as Early Indicators of Cognitive Impairment: Observational Study.

Huitong Ding, Stefaniya Brown, David R Paquette, Taylor A Orwig, Nicole L Spartano, Honghuang Lin

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Observational
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

6 authors.

Huitong DingDepartment of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.ORCID http://orcid.org/0000-0001-6495-3087
Stefaniya BrownThe Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.ORCID http://orcid.org/0009-0004-0062-956X
David R PaquetteMassachusetts AI and Technology Center, Manning College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA, United States.ORCID http://orcid.org/0000-0002-9665-453X
Taylor A OrwigDepartment of Medicine, University of Massachusetts Chan Medical School, S6-755, 55 Lake Avenue North, Worcester, 01655, United States, 1 7744554881.ORCID http://orcid.org/0000-0002-4899-7677
Nicole L SpartanoThe Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.ORCID http://orcid.org/0000-0002-0724-8629
Honghuang LinDepartment of Medicine, University of Massachusetts Chan Medical School, S6-755, 55 Lake Avenue North, Worcester, 01655, United States, 1 7744554881.ORCID http://orcid.org/0000-0003-3043-3942

Funding

Validating novel sleep sensors and devices in older adults with Alzheimer's diseaseP30AG073107 · NIA · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Sudeshna Das · 2021 to 2026
$32.0M
FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · 2019 to 2024
$29.8M
PRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9M
Social and behavioral determinants of health and Alzheimer’s Disease: Cohort study of the US military veteran populationR01AG080670 · NIA · UNIVERSITY OF MASSACHUSETTS LOWELL · PI HONG YU · 2023 to 2026
$4.5M
Assessing Alzheimer disease risk and heterogeneity using multimodal machine learning approachesU01AG068221 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DESTEFANO, ANITA L, LIN, HONGHUANG · 2021 to 2024
$2.5M
Digital Cognitive Assessment of Preclinical Alzheimer's Disease and Related DementiasR01AG083735 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Rhoda Au, Vijaya B. Kolachalama · 2024 to 2026
$2.4M
Sleep pathology and cardiac agingR21HL175584 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LIN, HONGHUANG, THOMAS, ROBERT JOSEPH · 2024 to 2025
$233k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
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NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NHLBI NIH HHS R21 HL175584NIA NIH HHS P30 AG073107NIA NIH HHS R01 AG080670NIA NIH HHS R01 AG083735NIA NIH HHS U01 AG068221NINDS NIH HHS R01 NS017950
6 · The paper itself

Abstract

Background: Emerging research suggests that regular physical activity can reduce the risk of cognitive decline. However, most prior studies rely on self-reported measures, which are subject to recall bias, subjectivity, and limited temporal resolution. Objective: This study aims to investigate whether objectively measured physical activity, captured through passive accelerometry, is associated with incident cognitive impairment and neuropsychological test performance and to evaluate its potential as an early indicator of cognitive decline. Methods: We analyzed data from the Framingham Heart Study (FHS), a community-based cohort with longitudinal surveillance of cognitive impairment. Participants wore an Actical accelerometer for at least 3 days (excluding bathing). A total of 30 accelerometer-derived physical activity measures were categorized into intensity-specific durations, step and cadence summaries, and peak cadence. At FHS, diagnoses of cognitive impairment were established by a review committee based on established criteria. Cox proportional hazard models were used to examine the association with incident cognitive impairment, adjusting for age, gender, education, and accelerometer wear time. Time-dependent area under the receiver operating characteristic curves, derived from random survival forest models, were used to assess predictive performance. Linear regression models were used to evaluate the associations between physical activity measures and 18 neuropsychological test scores. Results: Among 1212 participants from the FHS Offspring cohort (age: mean 70, SD 8 y; women: 651/1212, 53.71%; follow-up period: mean 9, SD 2 y), 10 physical activity measures, including all peak cadence metrics, were nominally associated with incident cognitive impairment. Higher peak 1-minute cadence (steps/min) was significantly associated with lower risk (hazard ratio 0.82; 95% CI 0.69-0.97; P=.02). Incorporating peak 1-minute cadence into the base model (age, gender, education, and accelerometer wear time) improved the 8-year prediction area under the curve by 10.2%. Peak 1-minute cadence and total steps per day were also associated with better performance on trail making tests A and B. Conclusions: This study highlights significant associations between accelerometer-based physical activity metrics and both incident cognitive impairment and cognitive test performance. In particular, moderate-intensity movement, as reflected by cadence measures, may serve as a valuable marker for cognitive health and a potential target for early intervention.

Indexed as

Cognitive DysfunctionExerciseAccelerometryAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedNeuropsychological TestsProportional Hazards Modelscognitive impairmentneuropsychological testolder adultspassive physical activityphysical activitywearable device

Identifiers

PMID40939123
PMCPMC12431165

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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.