Evidence map›Paper›PMID 34069061›Full record

ArticleSensors (Basel, Switzerland)2021

Ankle Muscle Activations during Different Foot-Strike Patterns in Running.

Jian-Zhi Lin, Wen-Yu Chiu, Wei-Hsun Tai, Yu-Xiang Hong, Chung-Yu Chen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Jian-Zhi LinDepartment of Physical Education, National Taiwan University of Sport, Taichung 40404, Taiwan.ORCID 0000-0003-1564-8136
Wen-Yu ChiuDepartment of Physical Education, National Taiwan University of Sport, Taichung 40404, Taiwan.
Wei-Hsun TaiSchool of Physical Education, Quanzhou Normal University, Quanzhou 362000, China.ORCID 0000-0002-5891-6279
Yu-Xiang HongDepartment of Physical Education, National Taiwan University of Sport, Taichung 40404, Taiwan.
Chung-Yu ChenDepartment of Physical Education, National Taiwan University of Sport, Taichung 40404, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analysed the landing performance and muscle activity of athletes in forefoot strike (FFS) and rearfoot strike (RFS) patterns. Ten male college participants were asked to perform two foot strikes patterns, each at a running speed of 6 km/h. Three inertial sensors and five EMG sensors as well as one 24 G accelerometer were synchronised to acquire joint kinematics parameters as well as muscle activation, respectively. In both the FFS and RFS patterns, according to the intraclass correlation coefficient, excellent reliability was found for landing performance and muscle activation. Paired t tests indicated significantly higher ankle plantar flexion in the FFS pattern. Moreover, biceps femoris (BF) and gastrocnemius medialis (GM) activation increased in the pre-stance phase of the FFS compared with that of RFS. The FFS pattern had significantly decreased tibialis anterior (TA) muscle activity compared with the RFS pattern during the pre-stance phase. The results demonstrated that the ankle strategy focused on controlling the foot strike pattern. The influence of the FFS pattern on muscle activity likely indicates that an athlete can increase both BF and GM muscles activity. Altered landing strategy in cases of FFS pattern may contribute both to the running efficiency and muscle activation of the lower extremity. Therefore, neuromuscular training and education are required to enable activation in dynamic running tasks.

Indexed as

AnkleFootAnkle JointBiomechanical PhenomenaGaitHumansMaleMuscle, SkeletalReproducibility of Resultsbiarticular musclejoint motionlanding patternneuromuscular training

Identifiers

PMID34069061
PMCPMC8156102

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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.