Evidence map›Paper›PMID 39913367›Full record

ArticlePloS one2025

Influences of footstrike patterns and overground conditions on lower extremity kinematics and kinetics during running: Statistical parametric mapping analysis.

Yifang Zhuang, Wenxing Zhou, Ziwei Zeng, Shiwei Mo, Lin Wang

Abstract read
In one paragraph

Article in PloS one, 2025. 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
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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.

Yifang ZhuangSchool of Exercise and Health, Shanghai University of Sport, Shanghai, China.ORCID https://orcid.org/0009-0000-3371-1157
Wenxing ZhouSchool of Exercise and Health, Shanghai University of Sport, Shanghai, China.
Ziwei ZengDepartment of Sports Science and Physical Education, The Chinese University of Hong Kong (CUHK), Hong Kong, China.ORCID https://orcid.org/0000-0001-8541-1842
Shiwei MoDivision of Sports Science and Physical Education, Shenzhen University, Shenzhen, Guangdong, China.ORCID https://orcid.org/0000-0001-8400-1032
Lin WangSchool of Exercise and Health, Shanghai University of Sport, Shanghai, China.ORCID https://orcid.org/0000-0003-3057-3742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated lower extremity biomechanics when running on different surfaces among runners with different footstrike patterns. Thirty rearfoot strikers (RFSs) and non-rearfoot strikers (nRFSs) ran at 3.3 m/s on a specially designed indoor track covered with three surfaces: artificial grass, synthetic rubber, and concrete. A motion capture system with ten cameras combined a force plate was used to collect marker trajectory and ground reaction force (GRF) during the running stance phase. A two-way analysis of variance with statistical parametric mapping was employed to evaluate differences in the biomechanics of the lower extremities between footstrike patterns and among running surfaces. The nRFSs exhibited significantly greater ankle inversion angles and increased inversion and internal rotation moments at midstance compared to the RFSs. Conversely, the RFSs demonstrated significantly greater knee abduction moments in late stance. Running on stiffer surfaces was associated with greater vertical GRF in late stance, as well as increased knee and hip extension moments during midstance. Furthermore, running on stiffer surfaces was associated with increased knee abduction moments, hip abduction moments, and hip external rotation moments during late stance. These findings suggested that nRFSs endure more ankle loads, while RFSs face increased knee loads. However, regardless of the footstrike pattern, runners may benefit from selecting softer surfaces to reduce the risk of injury.

Indexed as

Lower ExtremityRunningAdultBiomechanical PhenomenaFemaleFootGaitHumansKineticsMaleYoung Adult

Identifiers

PMID39913367
PMCPMC11801536

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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.