Effects of treadmill running velocity on lower extremity coordination variability in healthy runners

Bailey, Joshua P.; Silvernail, Julia Freedman; Dufek, Janet S.; Navalta, James W.; Mercer, John A.

doi:10.1016/j.humov.2018.07.013

Cited by 19 publications

(12 citation statements)

References 16 publications

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“…Whereas Bailey et al (2018) and Mehdizadeh et al (2015) observed changes in the pattern coordination only in specific joints couples after a speed variation of 45% and 20% respectively.…”

Section: Discussionmentioning

confidence: 91%

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The effect of running speed on joint coupling coordination and its variability in recreational runners

Floría

Sánchez-Sixto

Harrison

et al. 2019

Human Movement Science

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The purpose of this study was to examine the effect of speed on coordination and its variability in running gait using vector coding analysis. Lower extremity kinematic data were collected for thirteen recreational runners while running at three different speeds in random order: preferred speed, 15% faster and 15% lower than preferred speed. A dynamical systems approach, using vector coding and circular statistics, were used to quantify coordination and its variability for selected hip-knee and knee-ankle joint couplings. The influence of running speed was calculated from the continuous data sets of the running cycle, allowing for the identification of time percentages where differences existed. Results indicate that increases in running speed produced moderate alterations in the frequency of movement patterns which were not enough to alter classification of coordination. No effects of speed on coordination variability were observed. This study has demonstrated that coordination and coordination variability is generally stable in the range of ±15% around of preferred speed in recreational runners.

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“…Whereas Bailey et al (2018) and Mehdizadeh et al (2015) observed changes in the pattern coordination only in specific joints couples after a speed variation of 45% and 20% respectively.…”

Section: Discussionmentioning

confidence: 91%

“…Contradictory results have been found regarding the effect (Bailey, Silvernail, Dufek, Navalta, & Mercer, 2018) or non-effect (Mehdizadeh et al, 2015;Seay et al, 2011) of speed on coordination variability. These conflicting results could be due to the differences in the jointcouplings and speed ranges examined.…”

Section: Introductionmentioning

confidence: 96%

The effect of running speed on joint coupling coordination and its variability in recreational runners

Floría

Sánchez-Sixto

Harrison

et al. 2019

Human Movement Science

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“…While professional athletes tend to modulate their pace tactically while running overground in competitions (Dierks et al, 2010), studies in this review typically used constant speed exercises on treadmills to analyze the effects of fatigue. Running speed has a direct influence on spatiotemporal parameters (Bailey et al, 2018a), and forcing a specific treadmill speed prevents fatigued athletes from modulating their running mechanics naturally. While non-motorized treadmills allow the athletes to run at selfselected speeds, they can lead to an increased metabolic demand as compared with overground running at the same speed (Edwards et al, 2017); higher metabolic demands can accelerate the development of fatigue.…”

Section: Influence Of Protocolsmentioning

confidence: 99%

Biomechanical Response of the Lower Extremity to Running-Induced Acute Fatigue: A Systematic Review

et al. 2021

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Objective: To investigate (i) typical protocols used in research on biomechanical response to running-induced fatigue, (ii) the effect of sport-induced acute fatigue on the biomechanics of running and functional tests, and (iii) the consistency of analyzed parameter trends across different protocols.Methods: Scopus, Web of Science, Pubmed, and IEEE databases were searched using terms identified with the Population, Interest and Context (PiCo) framework. Studies were screened following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and appraised using the methodological index for non-randomized studies MINORS scale. Only experimental studies with at least 10 participants, which evaluated fatigue during and immediately after the fatiguing run were included. Each study was summarized to record information about the protocol and parameter trends. Summary trends were computed for each parameter based on the results found in individual studies.Results: Of the 68 included studies, most were based on in-lab (77.9%) protocols, endpoint measurements (75%), stationary measurement systems (76.5%), and treadmill environment (54.4%) for running. From the 42 parameters identified in response to acute fatigue, flight time, contact time, knee flexion angle at initial contact, trunk flexion angle, peak tibial acceleration, CoP velocity during balance test showed an increasing behavior and cadence, vertical stiffness, knee extension force during MVC, maximum vertical ground reaction forces, and CMJ height showed a decreasing trend across different fatigue protocols.Conclusion: This review presents evidence that running-induced acute fatigue influences almost all the included biomechanical parameters, with crucial influence from the exercise intensity and the testing environment. Results indicate an important gap in literature caused by the lack of field studies with continuous measurement during outdoor running activities. To address this gap, we propose recommendations for the use of wearable inertial sensors.

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“…The speed, step length, step frequency and slope of the ground have different effects on the kinematics, dynamics and muscle forces of lower extremity during walking. [3][4][5][6][7][8][9][10] For instance, the continuous relative phase (CRP) value of thigh flexion/extensionshank flexion/extension is sensitive to the speed of human movement, and the coordination of the lower extremity will decrease with the increase of the walking speed. In addition, the decrease of CRP is due to the movement of mass center of the body vertically, not knee flexion angles.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the decrease of CRP is due to the movement of mass center of the body vertically, not knee flexion angles. 3 The effect of the length difference between two legs on the mechanics of the lower extremity can be ignored when the length difference is 5-10 mm, while, the lower extremity movements will have obvious deformity if the difference of the legs' length is greater than 10 mm. 11 Resende et al 12 analyzed the lower extremity injury caused by unilateral foot pronation, which provided a basis for lower extremity rehabilitation and correction.…”

Section: Introductionmentioning

confidence: 99%

Effects of Single Crouch Walking Gaits on Fatigue Damages of Lower Extremity Main Muscles

Wang

Zhao

et al. 2019

J. Mech. Med. Biol.

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Single crouch walking gait (SCWG) is one of the main walking gaits when one of the legs is injured. However, the research on movement biomechanical characteristics (MBC) of lower extremity in SCWG has not been reported. So, the aim of this study is to analyze kinematics and main muscle fatigue damages of lower extremity in SCWG. Gaits data were collected with functional assessment biomechanics (FAB) system which applies the real-time wireless gait phase detection system, the movement function relations of joints of lower extremity were obtained by fitting the collected data in normal walking gait (NWG) and SCWG with Fourier series, the fitted movement functions were input to 3D human musculoskeletal model as driving functions for human movement to analyze the differences of MBC between SCWG and NWG. Finally, the muscle contractions were used to evaluate muscle fatigue damage. Compared with NWG, the result shows that the movement range of the joint angles of lower extremity are reduced in SCWG, the change law of hip internal/external rotation angle (IERA) has a significant difference, and the change laws of other joint angles are similarly between SCWG and NWG. The muscle contractions of Gluteus maximum (GMAX) 2, Gluteus meddle (GMED) 1, GMED2, Iliacus (ILI), Rectus femoris (RFEM), Soleus (SOL), Gastrocnemius (GAS) and Vastus lateralis (VLAT) are significantly larger in SCWG than in NWG (except GlutMed2 which is about 20–40% and VLAT which is about 63.8–76.1% of gait cycle), namely, these muscles easily cause muscle damages in SCWG. The contraction change of Adductor magnus (AMAG) is dispersed, so AMAG is prone to muscle fatigue in SCWG. The study results will fill in the gaps in the MBC of lower extremity in SCWG and provide data for Rehabilitation Medical Technology (RMT) and development of rehabilitation equipment of lower extremity.

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Effects of treadmill running velocity on lower extremity coordination variability in healthy runners

Cited by 19 publications

References 16 publications

The effect of running speed on joint coupling coordination and its variability in recreational runners

The effect of running speed on joint coupling coordination and its variability in recreational runners

Biomechanical Response of the Lower Extremity to Running-Induced Acute Fatigue: A Systematic Review

Effects of Single Crouch Walking Gaits on Fatigue Damages of Lower Extremity Main Muscles

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