Evidence map›Paper›PMID 40790061›Full record

ArticleScientific reports2025

Relationships between hand grip strength and gait parameters measured using a foot-mounted sensor in non-laboratory settings in older women.

Takuma Inai, Tomoya Takabayashi

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Takuma InaiIntegrated Research Center for Self-Care Technology, National Institute of Advanced Industrial Science and Technology (AIST), 2217-14 Hayashi-cho, Takamatsu, Kagawa, 761-0395, Japan. takuma.inai@aist.go.jp.
Tomoya TakabayashiInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Niigata, Niigata, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscle weakness is a significant concern in older women, as it increases the risk of falls and fractures. To develop practical tools for early detection, it is important to understand how hand grip strength relates to gait parameters in non-laboratory settings. This study examined the relationship between hand grip strength and gait characteristics in older women, using a foot-mounted sensor during natural walking. Publicly available data from 55 women aged > 70 years were analyzed. Each woman wore an inertial measurement unit attached to their shoe and completed a 30-min walking task. Hand grip strength was used as a general indicator of muscle strength. The mean and coefficient of variation (CV) were calculated for 18 gait parameters, including spatiotemporal parameters and foot pitch angles. Hand grip strength showed significant correlations with several mean gait parameters, including the percentage of the stance phase (r = -0.57) and the timing of the minimum foot pitch angle (r = -0.59). While hand grip strength was significantly correlated with the CV of several gait parameters, the strongest r value was -0.34. These findings suggest that mean gait parameters may better reflect hand grip strength than their CV.

Indexed as

FootGaitHand StrengthAgedAged, 80 and overFemaleHumansWalkingFootGaitHand grip strengthOlder womenWearable sensor

Identifiers

PMID40790061
PMCPMC12340058

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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.