Evidence map›Paper›PMID 40338438›Full record

ArticleGeroScience2026

Stepping and tapping: combining motor tasks improves cognitive classification.

Kaylee D Rudd, Michele L Callisaya, Katherine Lawler, Alastair J Noyce, James C Vickers, Jane Alty

Abstract read
In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Kaylee D RuddWicking Dementia Research and Education Centre, University of Tasmania, 17 Liverpool Street, Hobart, TAS, 7000, Australia.ORCID 0000-0002-8073-8691
Michele L CallisayaMedical Science Precinct, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.ORCID 0000-0003-2122-1622
Katherine LawlerWicking Dementia Research and Education Centre, University of Tasmania, 17 Liverpool Street, Hobart, TAS, 7000, Australia.ORCID 0000-0002-1484-1113
Alastair J NoyceCentre for Preventive Neurology, Wolfson Institute of Population Health, Mary University of London, London, Queen, UK.ORCID 0000-0003-3027-5497
James C VickersWicking Dementia Research and Education Centre, University of Tasmania, 17 Liverpool Street, Hobart, TAS, 7000, Australia.ORCID 0000-0001-5671-4879
Jane AltyWicking Dementia Research and Education Centre, University of Tasmania, 17 Liverpool Street, Hobart, TAS, 7000, Australia. Jane.Alty@utas.edu.au.ORCID 0000-0002-5456-8676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gait and key-tapping are individually associated with mild cognitive impairment (MCI) and dementia. However, it is unclear if these motor functions are correlated, or whether combining them improves classification of objective (dementia, MCI) and subjective cognitive impairment (SCI). We recruited 73 participants with dementia, 106 MCI, 57 SCI, and 83 cognitively healthy controls (HC). Consensus diagnosis was made after gold-standard interdisciplinary assessment. Fast-paced gait was assessed on an electronic walkway and fast-paced key-tapping on a computer keyboard. Correlations between gait and key-tapping measures (speed, frequency, variability and contact) were tested using Pearson's correlation. Classification accuracy was calculated using area under receiver-operating-characteristic curves (AUC) and compared to the null model comprising age, sex and education. Gait and key-tapping measures correlated moderately. Combined gait and key-tapping speed improved classification accuracy of dementia (.97), and MCI (.91), from HC, but not SCI, compared to gait (dementia: .94, MCI: .87) or the null model (dementia: .89, MCI: .79). Gait and key-tapping measures were associated with Alzheimer's disease and vascular dementia, but the effect size for key-tapping variability was larger in vascular dementia (β: 225.71) compared to Alzheimer's disease (β: 38.30). Gait and key-tapping variability was associated with non-amnestic MCI. Measures of gait were correlated with corresponding key-tapping measures, but their association with cognitive impairment was not the same. Combining gait and key-tapping motor measures improved classification accuracy of MCI and dementia. This suggests gait and key-tapping measures provide information about different aspects of motor-cognitive association worth further investigation.

Indexed as

Cognitive DysfunctionDementiaGaitPsychomotor PerformanceAgedAged, 80 and overCase-Control StudiesCognitionFemaleHumansMaleDementiaDigital biomarkerGaitISLANDMild cognitive impairmentSubjective cognitive impairment

Identifiers

PMID40338438
PMCPMC12972407

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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.