The effect of physiologically determined intensity on running variability in healthy men

Running patterns present non-random fluctuations in their temporal structure that represent a system's adaptability and result from the dynamic interaction between the central nervous system, body and environment. Changes in one would lead to readjustment of the others to preserve adaptability. Running speed was shown to affect these fluctuations when determined through self-selected speed. Because the locomotor system adapts to changing demands while preserving its functional organisation, we hypothesised that running at different physiologically defined intensities would not alter running variability. Thirteen males visited the laboratory twice. First, they completed an incremental test to determine the domains of physiological intensity. Then, participants ran two 8-min long trials on a treadmill at their moderate and heavy intensities. Stride time variability was determined through coefficient of variation (i.e. magnitude of variability) and detrended fluctuations analysis (i.e. temporal structure of variability). Paired samples t-tests were used to assess differences between intensity domains. We found no differences between intensities for the magnitude or temporal structure of variability. Differences were found in mean stride time, oxygen uptake and ventilation. This study showed the presence of complex, non-random fluctuations, regardless of running intensity. Moreover, it shows that running variability of healthy male runners remains unaltered at different running intensities.

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Publication Details

Journal
Sports Biomechanics
Published
2026-10-30
DOI
https://doi.org/10.1080/14763141.2026.2752415
Primary Topic
Lower Extremity Biomechanics and Pathologies
Type
article
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article

The effect of physiologically determined intensity on running variability in healthy men

Bryndan Lindsey, João Sá Gomes, Nelson Cortés, Joana F. Reis et al.
3 links
Sports Biomechanics
Lower Extremity Biomechanics and Pathologies
article

The effect of physiologically determined intensity on running variability in healthy men

Bryndan Lindsey, João Sá Gomes, Nelson Cortés, Joana F. Reis, João Rocha Vaz
article en

Abstract

Running patterns present non-random fluctuations in their temporal structure that represent a system's adaptability and result from the dynamic interaction between the central nervous system, body and environment. Changes in one would lead to readjustment of the others to preserve adaptability. Running speed was shown to affect these fluctuations when determined through self-selected speed. Because the locomotor system adapts to changing demands while preserving its functional organisation, we hypothesised that running at different physiologically defined intensities would not alter running variability. Thirteen males visited the laboratory twice. First, they completed an incremental test to determine the domains of physiological intensity. Then, participants ran two 8-min long trials on a treadmill at their moderate and heavy intensities. Stride time variability was determined through coefficient of variation (i.e. magnitude of variability) and detrended fluctuations analysis (i.e. temporal structure of variability). Paired samples t-tests were used to assess differences between intensity domains. We found no differences between intensities for the magnitude or temporal structure of variability. Differences were found in mean stride time, oxygen uptake and ventilation. This study showed the presence of complex, non-random fluctuations, regardless of running intensity. Moreover, it shows that running variability of healthy male runners remains unaltered at different running intensities.

Sports Biomechanics
University of Essex (GB), University of Lisbon (PT), George Mason University (US), Shanghai Jiao Tong University (CN), Escola Superior de Saúde Egas Moniz (PT)
Good health and well-being
Openalex Percentile: Top 24%
Lower Extremity Biomechanics and Pathologies
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The effect of physiologically determined intensity on running variability in healthy men — Bryndan Lindsey, João Sá Gomes, et al. · Sports Biomechanics (2026) | TGRS Research Map | TGRS