Evidence map›Paper›PMID 42071033›Full record

ArticleScientific reports2026

Associations between knee extensor strength and gait characteristics derived from shoe-based wearable sensors in older women.

Takuma Inai, Shoma Kudo, Wakako Tsuchida, Masahiro Fujimoto

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Takuma InaiIntegrated Research Center for Self-Care Technology, National Institute of Advanced Industrial Science and Technology (AIST), Takamatsu, Kagawa, Japan. takuma.inai@aist.go.jp.
Shoma KudoIntegrated Research Center for Self-Care Technology, National Institute of Advanced Industrial Science and Technology (AIST), Takamatsu, Kagawa, Japan.
Wakako TsuchidaIntegrated Research Center for Self-Care Technology, National Institute of Advanced Industrial Science and Technology (AIST), Takamatsu, Kagawa, Japan.
Masahiro FujimotoIntegrated Research Center for Self-Care Technology, National Institute of Advanced Industrial Science and Technology (AIST), Takamatsu, Kagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Declining knee extensor strength (KES) is a recognized risk factor for musculoskeletal disorders including knee osteoarthritis. Regular self-assessment of knee extensor strength in older women is essential for prevention of the progression. This study aimed to clarify the relationship between the KES and parameters derived from shoe-based wearable sensors during natural walking. Thirty-seven older women participated in this study. Insole force sensors and shoe-mounted IMU sensors were used to obtain spatiotemporal, ground reaction force (GRF), and foot pitch angle parameters. The maximal isometric KES was measured, and simple and partial correlations (controlling for gait speed and age) were calculated. KES was significantly correlated with (1) percentages of the stance and double-stance phases (r = -0.58 to -0.46), (2) timing of the first peak of the vertical GRF (r = -0.57), and (3) foot pitch angle at toe-off (r = -0.56). Furthermore, these parameters remained significantly associated with the KES after controlling for gait speed and age. These findings may contribute to the development of wearable sensor-based systems to estimate and quantify knee extensor strength using daily walking data.

Indexed as

GaitKneeKnee JointMuscle StrengthShoesWearable Electronic DevicesAgedBiomechanical PhenomenaFemaleHumansWalkingGround reaction forceInertial measurement unitInsole force sensorIsometric knee extensor strengthWalking

Identifiers

PMID42071033
PMCPMC13332041

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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.