Evidence map›Paper›PMID 33842444›Full record

ArticleFrontiers in bioengineering and biotechnology2021

Principal Component Analysis of the Running Ground Reaction Forces With Different Speeds.

Lin Yu, Qichang Mei, Liangliang Xiang, Wei Liu, Nur Ikhwan Mohamad, Bíró István, Justin Fernandez, Yaodong Gu

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Review
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  8. Fatigue state and external load effects on firefighter sprinting biomechanics.Frontiers in bioengineering and biotechnology · 2025
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  19. Study on Two Typical Progressive Motions in Tai Chi (Bafa Wubu) Promoting Lower Extremity Exercise.International journal of environmental research and public health · 2023
    Article
  20. 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

8 authors.

Lin YuLoudi Vocational and Technical College, Loudi, China.
Qichang MeiFaculty of Sports Science, Ningbo University, Ningbo, China.
Liangliang XiangFaculty of Sports Science, Ningbo University, Ningbo, China.
Wei LiuFaculty of Sports Science, Ningbo University, Ningbo, China.
Nur Ikhwan MohamadFaculty of Sports Sciences and Coaching, Sultan Idris Education University, Tanjong Malim, Malaysia.
Bíró IstvánFaculty of Engineering, University of Szeged, Szeged, Hungary.
Justin FernandezResearch Academy of Grand Health, Ningbo University, Ningbo, China.
Yaodong GuFaculty of Sports Science, Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ground reaction force (GRF) is a key metric in biomechanical research, including parameters of loading rate (LR), first impact peak, second impact peak, and transient between first and second impact peaks in heel strike runners. The GRFs vary over time during stance. This study was aimed to investigate the variances of GRFs in rearfoot striking runners across incremental speeds. Thirty female and male runners joined the running tests on the instrumented treadmill with speeds of 2.7, 3.0, 3.3, and 3.7 m/s. The discrete parameters of vertical average loading rate in the current study are consistent with the literature findings. The principal component analysis was modeled to investigate the main variances (95%) in the GRFs over stance. The females varied in the magnitude of braking and propulsive forces (PC1, 84.93%), whereas the male runners varied in the timing of propulsion (PC1, 53.38%). The female runners dominantly varied in the transient between the first and second peaks of vertical GRF (PC1, 36.52%) and LR (PC2, 33.76%), whereas the males variated in the LR and second peak of vertical GRF (PC1, 78.69%). Knowledge reported in the current study suggested the difference of the magnitude and patterns of GRF between male and female runners across different speeds. These findings may have implications for the prevention of sex-specific running-related injuries and could be integrated with wearable signals for the in-field prediction and estimation of impact loadings and GRFs.

Indexed as

gait biomechanicsgender differenceground reaction forcemachine learningrunning velocity

Identifiers

PMID33842444
PMCPMC8026898

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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.