Changes in spatiotemporal parameters, joint and CoM kinematics and leg stiffness in novice runners during a high-intensity fatigue protocol

Möhler, Felix; Fadillioglu, Cagla; Stein, Thorsten

doi:10.1371/journal.pone.0265550

Cited by 8 publications

(5 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our previous study [ 20 ], we showed that novice runners had a lower CoM position around the heel strike and increased RoM of the CoM in the medio-lateral direction in the POST state. Combined with the results from this study, it may be concluded that the decreased control of the CoM might be the reason for the changes in the CoM trajectory.…”

Section: Discussionmentioning

confidence: 98%

“…This study reanalyzes the data of a previously published study [ 20 ]. The details of the participants, experimental protocol and data collection are repeated in the following subsections.…”

Section: Methodsmentioning

confidence: 99%

“…Recently, it has been shown that running-induced fatigue does not affect the spatiotemporal parameters or their variability in novice runners, although the position of the CoM is affected [ 20 ]. This is in contrast to findings in expert runners, which have shown that a high-intensity run with a similar time to exhaustion affects the spatiotemporal parameters and their variabilities [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Running-Induced Fatigue Changes the Structure of Motor Variability in Novice Runners

Möhler

Fadillioglu

Scheffler

et al. 2022

Biology

Self Cite

View full text Add to dashboard Cite

Understanding the effects of fatigue is a central issue in the context of endurance sports. Given the popularity of running, there are numerous novices among runners. Therefore, understanding the effects of fatigue in novice runners is an important issue. Various studies have drawn conclusions about the control of certain variables by analyzing motor variability. One variable that plays a crucial role during running is the center of mass (CoM), as it reflects the movement of the whole body in a simplified way. Therefore, the aim of this study was to analyze the effects of fatigue on the motor variability structure that stabilizes the CoM trajectory in novice runners. To do so, the uncontrolled manifold approach was applied to a 3D whole-body model using the CoM as the result variable. It was found that motor variability increased with fatigue (UCMꓕ). However, the UCMRatio did not change. This indicates that the control of the CoM decreased, whereas the stability was not affected. The decreases in control were correlated with the degree of exhaustion, as indicated by the Borg scale (during breaking and flight phase). It can be summarized that running-induced fatigue increases the step-to-step variability in novice runners and affects the control of their CoM.

show abstract

Section: Discussionmentioning

confidence: 98%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Running-Induced Fatigue Changes the Structure of Motor Variability in Novice Runners

Möhler

Fadillioglu

Scheffler

et al. 2022

Biology

Self Cite

View full text Add to dashboard Cite

show abstract

“…A total of 28 studies assessed running, 13 involving treadmill running and 15 surface running. Among these studies, ten focused on the effects of different shoes on running biomechanics, [9][10][11][12][13][14][15][16][17][18] three studies examined specific physical interventions, [19][20][21] three studies assessed various gait modifications, [22][23][24] three evaluated foot biomechanics, [25][26][27] two explored the effects of fatigue, 28,29 and two investigated studies the effects of sex. 30,31 Additionally, single studies examined the effects of different surfaces, 32 hamstring flexibility, 33 pertubations, 34 running with different loads, 35 and the differences between transition running and isolated running in triathlon Table 1).…”

Section: Runningmentioning

confidence: 99%

Scoping Review of One-Dimension Statistical Parametric Mapping in Lower Limb Biomechanical Analysis

Yona,

Kamel,

Cohen-Eick

et al. 2023

Preprint

View full text Add to dashboard Cite

BackgroundBiomechanics is crucial in enhancing sports performance and preventing injury. Traditionally, discrete point analysis is used to analyze important kinetic and kinematic data points, reducing continuous data to a single point. One-dimensional Statistical Parametric Mapping (spm1d) offers a more comprehensive approach by assessing entire movement curves instead of isolated peak values. Nevertheless, spm1d is still underutilized in various sports and sports-related injuries.PurposeTo summarize the existing literature on the application of spm1d in sports biomechanics, including the kinetics and kinematics of the hip, knee, and ankle joints, as well as to identify gaps in the literature that may require further research.MethodsA scoping review was conducted, searching PubMed, Embase, Web of Science, and ProQuest databases. English peer-reviewed studies using SPM to assess lower limb kinetics or kinematics in different sports or sports-related injuries were included. In contrast, reviews, meta-analyses, conference abstracts, grey literature, and studies focusing on non-kinetic or kinematic outcomes were excluded.ResultsThe review yielded 129 papers, with an increased number of studies published in the last three years. Of these studies, 81 examined healthy individuals (63%), and 48 focused on injured populations (37%). Running (n=28), cutting (n=21), and jumping/landing (n=14) were the most common activities. The most prevalent sport-related injuries examined were anterior cruciate ligament rupture (n=21), chronic ankle instability (n=16), and hip-related pain (n=9). Research gaps include the underrepresentation of common sports and movements, small sample size, lack of studies in non-laboratory settings and varied active age groups, and absence of evaluations on the effects of protective sports gear other than shoes.ConclusionThe application of spm1d in sports biomechanics demonstrates diverse uses in sports performance, injury reduction, and rehabilitation. While spm1d shows promise in improving our understanding of sports biomechanics, there are still significant gaps in the literature that present future research opportunities.

show abstract

“…Analyzing the variability characteristics of biomechanical parameters may help to understand which parameters are of high priority for the CNS [ 27 , 32 ]. Despite its relevancy, only a few studies have analyzed the variability in running kinematics [ 22 , 33 , 34 , 35 , 36 ].…”

Section: Introductionmentioning

confidence: 99%

Changes in Key Biomechanical Parameters According to the Expertise Level in Runners at Different Running Speeds

et al. 2022

Self Cite

View full text Add to dashboard Cite

Running has become increasingly popular worldwide. Among runners, there exists a wide range of expertise levels. Investigating the differences between runners at two extreme levels, that is novices and experts, is crucial to understand the changes that occur as a result of multiple years of training. Vertical oscillation of center of mass (CoM), stride frequency normalized to the leg length, and duty factor, which describes the step time relative to the flight time, are key biomechanical parameters that have been shown to be closely related to the running economy and are used to characterize the running style. The variability characteristics of these parameters may reveal valuable information concerning the control of human locomotion. However, how the expertise level and running speed affect the variability of these key biomechanical parameters has not yet been investigated. The aim of this study was to analyze the effects of expertise level (novice vs. expert) and running speed (10 km/h vs. 15 km/h) on these parameters and their variability. It was hypothesized that expert runners would have lower vertical oscillation of CoM, normalized stride frequency, and duty factor and show less variability in these parameters. The parameters’ variability was operationalized by the coefficient of variation. The mean values and variability of these key biomechanical parameters according to expertise level and running speed were compared with rmANOVAs. The results showed that the experts had a lower duty factor and less variable vertical oscillation of CoM and normalized stride frequency, independently of the running speed. At a higher running speed, the variability of vertical oscillation of CoM was higher, whereas that of normalized stride frequency and duty factor did not change significantly. To the best of our knowledge, this is the first study analyzing the effects of expertise level and running speed on the variability of key biomechanical parameters.

show abstract

Changes in spatiotemporal parameters, joint and CoM kinematics and leg stiffness in novice runners during a high-intensity fatigue protocol

Cited by 8 publications

References 47 publications

Running-Induced Fatigue Changes the Structure of Motor Variability in Novice Runners

Running-Induced Fatigue Changes the Structure of Motor Variability in Novice Runners

Scoping Review of One-Dimension Statistical Parametric Mapping in Lower Limb Biomechanical Analysis

Changes in Key Biomechanical Parameters According to the Expertise Level in Runners at Different Running Speeds

Contact Info

Product

Resources

About