Evidence map›Paper›PMID 36497998›Full record

ArticleInternational journal of environmental research and public health2022

Kinematics Analysis of Male Runners via Forefoot and Rearfoot Strike Strategies: A Preliminary Study.

Chao-Fu Chen, Hui-Ju Wu, Chao Liu, Soun-Cheng Wang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Chao-Fu ChenPhysical Education College, Huaibei Normal University, Huaibei 235000, China.ORCID 0000-0002-9154-7516
Hui-Ju WuPhysical Education College, Huaibei Normal University, Huaibei 235000, China.
Chao LiuPhysical Education College, Huaibei Normal University, Huaibei 235000, China.
Soun-Cheng WangDepartment of Athletic Sports, National Chung Cheng University, Minxiong 621301, Taiwan.ORCID 0000-0002-9522-4802

Funding

This work was partially supported by the PhD Research Funding Project of Huaibei Normal University. (03106066).This work was supported by the School-level laboratory open project of Huaibei Normal Uni-versity. [2021sykf040]
6 · The paper itself

Abstract

This study aimed to explore the kinematic characteristics of males using various foot landing strategies. The participants were fifteen male students from Physical Education College, Huaibei (non-professional runners, who did not have a fixed running landing strategy mode) (mean height = 178.20 cm; mean weight = 67.60 kg; mean age = 19.40 years). In this experiment, the running model of different foot landing strategies (forefoot strike, FFS and rearfoot strike, RFS) were analyzed using two high-speed cameras captured simultaneously at a sampling rate of 100 Hz. According to the results, the runners with better sports performance have shorter contact time, longer flight time, lower duty factor, larger stride angle, faster V COG, greater A COG, and knee and ankle angles which were crucial kinematics factors to enhance the running. Therefore, this study recommends that coaches or researchers can use photography to analyze novice runners who do not have a fixed landing pattern when running with RFS, the characteristics of running style was closely related to the flight times, and running with FFS was closely related to the stride angle.

Indexed as

AnkleFootAdultAnkle JointBiomechanical PhenomenaGaitHumansLower ExtremityMaleYoung Adultbiomechanicsexerciseforefoot strikekinematicsrearfoot strike

Identifiers

PMID36497998
PMCPMC9736039

What OpenQuestion holds

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LicenceCC BY
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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.