Evidence map›Paper›PMID 40858783›Full record

ArticleScientific reports2025

The individuality of plantar pressure indices enables the reduction of descriptive gait data required for diagnostic purposes.

Ewa Latour, Emilia E Latour, Jarosław Arlet

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ewa LatourDepartment of Physiotherapy, Poznan University of Physical Education, 61-871, Poznań, Poland. ewalatour@o2.pl.
Emilia E Latour *Department of Physiotherapy, Poznan University of Physical Education, 61-871, Poznań, Poland.
Jarosław Arlet *Department of Physiotherapy, Poznan University of Physical Education, 61-871, Poznań, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnostic utility of gait analysis requires reducing the amount of measurement data while ensuring minimal loss of assessment accuracy, which in turn necessitates selection of gait descriptors that can capture unique gait characteristics with the greatest effectiveness. As changes in movement are more apparent in the spatial distribution of forces, we started from the assumption that kinetic indices can capture gait variation more clearly than kinematic indices. We juxtaposed the individuality of barographic indices across foot regions for force, pressure, plantar area, and contact time. We captured pressure distributions during free gait from 19 individuals in a highly homogeneous group of young healthy women who participated 200 walking trials. Time presented the highest individuality, the lowest regional differentiation, and the lowest variation. Force, pressure, and surface area exhibited comparably high individuality for certain parts of the foot. Intraindividual variation constituted a more individual feature than did the values themselves. Since the temporal domain proved to be more informative for individual gait patterns, it should be prioritised in diagnostic assessment. Regional differentiation was found to be the most informative data for gait variation and can be used to increase the diagnostic utility of gait descriptive data.

Indexed as

FootGaitGait AnalysisAdultBiomechanical PhenomenaFemaleHumansIndividualityPressureWalkingYoung Adult

Identifiers

PMID40858783
PMCPMC12381014

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.