Evidence map›Paper›PMID 40666086›Full record

ArticleOpen access journal of sports medicine2025

Exploration of Inertial Sensor-Derived Kinematic Predictors for Dynamic Balance Assessment in the Active Adult.

Chairat Phuaklikhit, Vaibhav R Shah, Satoshi Muraki, Philippe C Dixon, Ping Yeap Loh

Abstract read
In one paragraph

Article in Open access journal of sports medicine, 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

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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chairat PhuaklikhitGraduate School of Design, Faculty of Design, Kyushu University, Fukuoka, Japan.ORCID 0000-0003-0454-6572
Vaibhav R ShahInstitute of Biomedical Engineering, Faculty of Medicine, University of Montreal, Quebec, Canada.ORCID 0000-0002-2275-8678
Satoshi MurakiDepartment of Health Life Design and Science, Faculty of Design, Kyushu University, Fukuoka, Japan.ORCID 0000-0002-7912-9012
Philippe C DixonInstitute of Biomedical Engineering, Faculty of Medicine, University of Montreal, Quebec, Canada.ORCID 0000-0003-3581-7259
Ping Yeap LohDepartment of Health Life Design and Science, Faculty of Design, Kyushu University, Fukuoka, Japan.ORCID 0000-0003-3821-3039

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The modified Star Excursion Balance Test (mSEBT) is a clinical tool for dynamic balance assessment. While researchers have examined individual joint kinematic predictors of dynamic balance performance, limited data exist on body and joint sway during the test execution. Further investigation of kinematic predictors' influence on dynamic balance is needed to improve assessment methodologies. This study aimed to examine the relationship between the center of mass and lower limb kinematics as predictors of mSEBT performance. Patients and Methods: Twenty-seven participants with no history of lower limb joint instability were recruited for this study. The inertial sensors were positioned on the non-dominant leg: trunk, thigh, shank, and foot. The participants completed the mSEBT barefoot following standardized practice trials with three test trials per direction. The reach distance and lower limb kinematic data were recorded. Spearman rank's correlation and stepwise multiple regression analyses identified key predictors of dynamic balance performance. Results: Ankle dorsiflexion was a strong predictor of normalized reach distance in the anterior direction Conclusion: This study highlights the key biomechanical factors that influence dynamic balance, focusing on the interaction between joint mobility and segmental control. Ankle dorsiflexion is critical for anterior balance, whereas hip flexion and body center of mass displacement are essential for posterior balance.

Indexed as

accelerometrybiomechanical phenomenalower extremitypostural balance

Identifiers

PMID40666086
PMCPMC12262066

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LicenceCC BY-NC
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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.