Evidence map›Paper›PMID 40933808›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Biomechanical impacts of 3D arch-support insoles on countermovement jumps: a statistical parametric mapping analysis.

Qiu-Qiong Shi, Kit-Lun Yick, Rui-Feng Huang, Chu-Hao Li, Jin Long Wu

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Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qiu-Qiong ShiSchool of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong, China.
Kit-Lun YickSchool of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong, China.
Rui-Feng HuangSchool of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong, China.
Chu-Hao LiSchool of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong, China.
Jin Long WuCollege of Physical Education, Southwest University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Despite the widespread use of arch-support insoles in sports, their time-dependent biomechanical effects on dynamic movements like countermovement jumps (CMJs) remain poorly understood. This study investigated the biomechanical impacts of three-dimensional (3D) arch-support insoles with varying degrees of stiffness on CMJs by using a statistical parametric mapping (SPM) analysis. Design: Randomized crossover study. Method: Twelve active male university students tested three different polyurethane 3D arch-support insoles (i.e., soft, semi-rigid, and rigid insoles). A total of 16 reflective markers were placed on the lower limbs of the participants according to the Vicon Plug-in Gait marker set protocols. The lower limb kinematics and kinetics were captured by using two synchronized force plates and an eight-camera motion analysis system. SPM was used to statistically compare the biomechanical changes across the different 3D insoles during six continuous key phases of CMJs. Results: With the 3D arch-support insoles donned, supra-threshold clusters of the ankle kinematics in the sagittal and frontal planes exceeded the critical thresholds during propulsion-flight ( Conclusion: Rigid and semi-rigid 3D arch-support insoles significantly altered the biomechanics of the ankle joint, primarily in the frontal and transverse planes during propulsion-flight, and the landing phases. The rigid 3D insole most effectively enhanced ankle joint stability, which is crucial for maintaining balance and preventing injuries. SPM provided a time-dependent analysis of the biomechanical impacts during CMJ.

Indexed as

3D insolearch-supportjumpingorthosesstatistical parametric mapping

Identifiers

PMID40933808
PMCPMC12417533

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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.