Using statistical parametric mapping to assess the association of duty factor and step frequency on running kinetic
Duty factor (DF) and step frequency (SF) were previously defined as the key running pattern determinants. Hence, this study aimed to investigate the association of DF and SF on 1) the vertical and fore-aft ground reaction force signals using statistical parametric mapping; 2) the force related varia...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2022.1044363/full |
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| author | Aurélien Patoz Aurélien Patoz Thibault Lussiana Thibault Lussiana Thibault Lussiana Bastiaan Breine Bastiaan Breine Eliott Piguet Jonathan Gyuriga Cyrille Gindre Cyrille Gindre Davide Malatesta |
| author_facet | Aurélien Patoz Aurélien Patoz Thibault Lussiana Thibault Lussiana Thibault Lussiana Bastiaan Breine Bastiaan Breine Eliott Piguet Jonathan Gyuriga Cyrille Gindre Cyrille Gindre Davide Malatesta |
| author_sort | Aurélien Patoz |
| collection | DOAJ |
| description | Duty factor (DF) and step frequency (SF) were previously defined as the key running pattern determinants. Hence, this study aimed to investigate the association of DF and SF on 1) the vertical and fore-aft ground reaction force signals using statistical parametric mapping; 2) the force related variables (peaks, loading rates, impulses); and 3) the spring-mass characteristics of the lower limb, assessed by computing the force-length relationship and leg stiffness, for treadmill runs at several endurance running speeds. One hundred and fifteen runners ran at 9, 11, and 13 km/h. Force data (1000 Hz) and whole-body three-dimensional kinematics (200 Hz) were acquired by an instrumented treadmill and optoelectronic system, respectively. Both lower DF and SF led to larger vertical and fore-aft ground reaction force fluctuations, but to a lower extent for SF than for DF. Besides, the linearity of the force-length relationship during the leg compression decreased with increasing DF or with decreasing SF but did not change during the leg decompression. These findings showed that the lower the DF and the higher the SF, the more the runner relies on the optimization of the spring-mass model, whereas the higher the DF and the lower the SF, the more the runner promotes forward propulsion. |
| first_indexed | 2024-04-10T06:11:41Z |
| format | Article |
| id | doaj.art-4cb6e28a7cae4fb986a0f21b90948b95 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-04-10T06:11:41Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-4cb6e28a7cae4fb986a0f21b90948b952023-03-02T12:24:46ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2022-12-011310.3389/fphys.2022.10443631044363Using statistical parametric mapping to assess the association of duty factor and step frequency on running kineticAurélien Patoz0Aurélien Patoz1Thibault Lussiana2Thibault Lussiana3Thibault Lussiana4Bastiaan Breine5Bastiaan Breine6Eliott Piguet7Jonathan Gyuriga8Cyrille Gindre9Cyrille Gindre10Davide Malatesta11Institute of Sport Sciences, University of Lausanne, Lausanne, SwitzerlandResearch and Development Department, Volodalen Swiss Sport Lab, Aigle, SwitzerlandResearch and Development Department, Volodalen Swiss Sport Lab, Aigle, SwitzerlandResearch and Development Department, Volodalen, FranceResearch Unit EA3920 Prognostic Markers and Regulatory Factors of Cardiovascular Diseases and Exercise Performance, Health, Innovation Platform, University of Franche-Comté, Besançon, FranceResearch and Development Department, Volodalen Swiss Sport Lab, Aigle, SwitzerlandDepartment of Movement and Sports Sciences, Ghent University, Ghent, BelgiumInstitute of Sport Sciences, University of Lausanne, Lausanne, SwitzerlandInstitute of Sport Sciences, University of Lausanne, Lausanne, SwitzerlandResearch and Development Department, Volodalen Swiss Sport Lab, Aigle, SwitzerlandResearch and Development Department, Volodalen, FranceInstitute of Sport Sciences, University of Lausanne, Lausanne, SwitzerlandDuty factor (DF) and step frequency (SF) were previously defined as the key running pattern determinants. Hence, this study aimed to investigate the association of DF and SF on 1) the vertical and fore-aft ground reaction force signals using statistical parametric mapping; 2) the force related variables (peaks, loading rates, impulses); and 3) the spring-mass characteristics of the lower limb, assessed by computing the force-length relationship and leg stiffness, for treadmill runs at several endurance running speeds. One hundred and fifteen runners ran at 9, 11, and 13 km/h. Force data (1000 Hz) and whole-body three-dimensional kinematics (200 Hz) were acquired by an instrumented treadmill and optoelectronic system, respectively. Both lower DF and SF led to larger vertical and fore-aft ground reaction force fluctuations, but to a lower extent for SF than for DF. Besides, the linearity of the force-length relationship during the leg compression decreased with increasing DF or with decreasing SF but did not change during the leg decompression. These findings showed that the lower the DF and the higher the SF, the more the runner relies on the optimization of the spring-mass model, whereas the higher the DF and the lower the SF, the more the runner promotes forward propulsion.https://www.frontiersin.org/articles/10.3389/fphys.2022.1044363/fullbiomechanicsrunning patternspring-mass modelleg stiffnessground reaction force |
| spellingShingle | Aurélien Patoz Aurélien Patoz Thibault Lussiana Thibault Lussiana Thibault Lussiana Bastiaan Breine Bastiaan Breine Eliott Piguet Jonathan Gyuriga Cyrille Gindre Cyrille Gindre Davide Malatesta Using statistical parametric mapping to assess the association of duty factor and step frequency on running kinetic Frontiers in Physiology biomechanics running pattern spring-mass model leg stiffness ground reaction force |
| title | Using statistical parametric mapping to assess the association of duty factor and step frequency on running kinetic |
| title_full | Using statistical parametric mapping to assess the association of duty factor and step frequency on running kinetic |
| title_fullStr | Using statistical parametric mapping to assess the association of duty factor and step frequency on running kinetic |
| title_full_unstemmed | Using statistical parametric mapping to assess the association of duty factor and step frequency on running kinetic |
| title_short | Using statistical parametric mapping to assess the association of duty factor and step frequency on running kinetic |
| title_sort | using statistical parametric mapping to assess the association of duty factor and step frequency on running kinetic |
| topic | biomechanics running pattern spring-mass model leg stiffness ground reaction force |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2022.1044363/full |
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