Evidence map›Paper›PMID 34900206›Full record

ArticleJournal of healthcare engineering2021

Effectiveness of Insole Colour on Impact Loading and Lower-Limb Kinematics When Running at Preferred and Nonpreferred Speeds.

Yi Wang, Wing-Kai Lam, Lok-Yee Pak, Charis K-W Wong, Mohammad F Tan, Aaron K-L Leung

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2021. 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
–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

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

6 authors.

Yi WangDepartment of Physical Education, Renmin University of China, Beijing 100872, China.ORCID 0000-0001-9629-5947
Wing-Kai LamLi Ning Sports Science Research Center, Li Ning (China) Sports Goods Co. Ltd., Beijing 101111, China.ORCID 0000-0001-8692-2206
Lok-Yee PakDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Charis K-W WongDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Mohammad F TanLi Ning Sports Science Research Center, Li Ning (China) Sports Goods Co. Ltd., Beijing 101111, China.ORCID 0000-0002-1781-8672
Aaron K-L LeungDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.ORCID 0000-0001-5992-1566

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While colour of red can play a significant role in altering human perception and performances, little is known about its perceptual-motor effect on running mechanics. This study examined the effects of variations in insole colours on impact forces, ankle kinematics, and trial-to-trial reliability at various running speeds. Sixteen male recreational runners ran on instrumented treadmill at slow (90%), preferred (100%), and fast (110%) running speeds when wearing insoles in red, blue, and white colours. We used synchronized force platform and motion capturing system to measure ground reaction force, ankle sagittal and frontal kinematics, and movement variability. A two-way (colour x speed) ANOVA with repeated measures was performed with Bonferroni adjusted post hoc comparisons, with alpha set at 0.05. Data analyses indicated that participants demonstrated higher impact and maximum loading rate of ground reaction force, longer stride length, shorter contact time, and smaller touchdown ankle inversion as well as larger ankle sagittal range of motion (RoM), but smaller frontal RoM in fast speed as compared with preferred (

Indexed as

RunningShoesBiomechanical PhenomenaColorHumansMaleReproducibility of Results

Identifiers

PMID34900206
PMCPMC8654554

What OpenQuestion holds

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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.