Evidence map›Paper›PMID 42594300›Full record

ArticleEuropean journal of sport science2026

Movement Dynamics of Treadmill Running Within the Different Exercise Intensity Domains in Male Runners.

Ben Hunter, Bettina Karsten, Mark Burnley, Andrew Greenhalgh, Daniel Muniz-Pumares

Abstract read
In one paragraph

Article in European journal of sport science, 2026. 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

5 authors.

Ben HunterSchool of Human Sciences, London Metropolitan University, London, UK.ORCID https://orcid.org/0000-0003-4190-4543
Bettina KarstenCBS University of Applied Sciences, Faculty of Health & Education, Cologne, Germany.ORCID https://orcid.org/0000-0001-7336-9472
Mark BurnleySchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.ORCID https://orcid.org/0000-0003-3407-561X
Andrew GreenhalghSchool of Health, Medicine and Life Sciences, University of Hertfordshire, Hatfield, UK.
Daniel Muniz-PumaresSchool of Health, Medicine and Life Sciences, University of Hertfordshire, Hatfield, UK.ORCID https://orcid.org/0000-0002-6748-9870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aetiology of fatigue differs between exercise intensity domains, but limited research has explored non-linear gait dynamics across them. To address this, this study aimed to investigate movement variability and stability in moderate, heavy, and severe intensity domains, and to examine how these dynamics evolve over time. Twenty-one male runners performed treadmill trials at speeds corresponding to these domains, with lower limb joint angles and centre of mass displacement recorded using 3D motion analysis and analysed at the start, middle, and end of each trial. Non-linear dynamics of joint angles and centre of mass displacement including local dynamic stability, dimensionality, and variability were assessed using Lyapunov exponent (LyE), correlation dimension (CoD), and MeanSD, respectively. Repeated-measures ANOVAs revealed a significant effect of intensity across most parameters, including CoD and LyE at the ankle, knee, and hip (all p < 0.05), as well as MeanSD at the hip (p < 0.05). Furthermore, a significant effect of intensity was observed in 6 out of the 9 parameters measured at the centre of mass. Effects of time were sparse, with interaction effects largely confined to centre of mass variability. Post hoc analyses indicated that higher intensity domains were associated with reduced local dynamic stability, lower dimensionality, and increased variability at some sites. Changes over time were not exclusive to the severe intensity domain, suggesting that metabolic stress does not play an exclusive role in regulating movement dynamics during running. Collectively, these findings suggest that between-domain differences in gait dynamics were more consistent with speed-related task constraints than with cumulative fatigue or metabolic stress alone.

Indexed as

GaitRunningAdultBiomechanical PhenomenaExercise TestHumansMaleMovementNonlinear DynamicsYoung Adultcorrelation dimensionendurance runninggait variabilitylocal dynamic stabilitylyapunov exponentnon‐linear dynamics

Identifiers

PMID42594300
PMCPMC13472544

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.