Physical Predictors of Elite Skeleton Start Performance

Colyer, Steffi L.; Stokes, Keith; Bilzon, James L. J.; Cardinale, Marco; Salo, Aki

doi:10.1123/ijspp.2015-0631

Cited by 18 publications

(20 citation statements)

References 16 publications

(18 reference statements)

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“…19 A similar data reduction process has recently been undertaken to identify key performance variables in an elite sport setting. 20 Variables within a given principal component are correlated with each other, while the principal components themselves do not correlate and so explain distinct information. 21 The PCA was performed using IBM SPSS Statistics for Windows (Version 20.0, Armonk, NY, USA).…”

Section: Resultsmentioning

confidence: 99%

Monitoring What Matters: A Systematic Process for Selecting Training-Load Measures

Williams

Trewartha²,

Cross³

et al. 2017

International Journal of Sports Physiology and Performance

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Purpose: Numerous derivative measures can be calculated from the simple session rating of perceived exertion (sRPE), a tool for monitoring training loads (eg, acute:chronic workload and cumulative loads). The challenge from a practitioner's perspective is to decide which measures to calculate and monitor in athletes for injury-prevention purposes. The aim of the current study was to outline a systematic process of data reduction and variable selection for such training-load measures. Methods: Training loads were collected from 173 professional rugby union players during the 2013-14 English Premiership season, using the sRPE method, with injuries reported via an established surveillance system. Ten derivative measures of sRPE training load were identified from existing literature and subjected to principal-component analysis. A representative measure from each component was selected by identifying the variable that explained the largest amount of variance in injury risk from univariate generalized linear mixed-effects models. Results: Three principal components were extracted, explaining 57%, 24%, and 9% of the variance. The training-load measures that were highly loaded on component 1 represented measures of the cumulative load placed on players, component 2 was associated with measures of changes in load, and component 3 represented a measure of acute load. Four-week cumulative load, acute:chronic workload, and daily training load were selected as the representative measures for each component. Conclusions: The process outlined in the current study enables practitioners to monitor the most parsimonious set of variables while still retaining the variation and distinct aspects of "load" in the data.

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Section: Resultsmentioning

confidence: 99%

Monitoring What Matters: A Systematic Process for Selecting Training-Load Measures

Williams

Trewartha²,

Cross³

et al. 2017

International Journal of Sports Physiology and Performance

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“…In the correlational analysis with performance, special attention was given to the variables most strongly related to each component extracted from the PCA (Colyer et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…The use of PCA helps in the analysis of the large amount of information obtained from the measurement of many variables in attempts to find possible relationships with sports performance (Colyer et al, 2017), but attention must be paid to the conditions of application of statistical procedures. To continue with the determination of predictive variables of performance in CrossFit, it would be necessary to include new variables or more specific tests and new capacities (e.g.…”

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confidence: 99%

Analysis of Morphofunctional Variables Associated with Performance in Crossfit^® Competitors

Gómez-Landero

Frías-Menacho

2020

Journal of Human Kinetics

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CrossFit® is a competitive sport and fitness modality characterized by multiple physical capabilities and multi-joint movements. This study aimed to analyse and classify variables related to CrossFit® competitors’ specific performance. Fifteen male CrossFit® competitors were selected (n = 15; 30.57 ± 5.5 years; 1.76 ± 0.06 m; 78.55 ± 9.12 kg). Mean values were obtained for body mass index (25.3 ± 2.14 kg/m2), 4 skinfolds, 1 repetition maximum in the squat (137.60 ± 19.65 kg) and the bench press (101.67 ± 10.64 kg), maximum pull-ups (18.87 ± 5.05), sit-ups in 60 s (46.60 ± 4.22), peak power in the countermovement jump (3908.04 ± 423.68 W), VO2max with a shuttle run test (47.70 ± 4.79 ml kg-1·min-1), and time in the Workout of the Day (WOD) “Fran” (337.13 ± 119.19 s) and “Donkey Kong” (417.47 ± 98.44 s) components. Principal component analysis was conducted to classify variables and to select those most related to each new component (“strength and muscle mass”, “adiposity” and “aerobic capacity”). The correlation matrix was analysed, indicating significant correlations between “Donkey Kong” and VO2max (r = -.675; p “ .01), suprailiac skinfold (r = .713; p “ .01) and sit-ups (r = -.563; p “ .05); and between “Fran” and squat (r = -.528; p “ .05). Three important components characterizing CrossFit® competitors were identified: “strength and muscle mass”, low “adiposity” and “aerobic capacity”. Significant relationships between morphofunctional variables and Crossfit® performance were found in Crossfit® competitors.

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“…Acceleration and high speed at the end of the start phase are crucial for high bob speed during a race and a better overall result [50,51]. At the start phase, athletes must start the race by pushing the bob within 60 seconds after the start signal and run at full speed about 55 m. The start and push phases last for only 6 seconds, but they are the most important for the final result [52]. To perform a push-start, leg extensors must generate high mechanical power in the hip, knee and ankle joints to create significant horizontal propulsive force that propels the athlete's body and bob forward.…”

Section: Bobsleighingmentioning

confidence: 99%

“…Previous studies reporting the electromyographic (EMG) activity in sprinters in the acceleration phase have shown that biceps femoris (RF) is one of the most important muscles for developing maximum speed [53]. Similar as at the start of a sprint run, the longer running distance increased workload of the plantar ankle flexors [52].…”

Section: Bobsleighingmentioning

confidence: 99%

Peculiarities of Muscle-Tendon Mechanics and Energetics in Elite Athletes in Various Sports

Shestakov¹,

Zubkova²

2021

Contemporary Advances in Sports Science

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The article presents results of the research on jumping strategies applied by elite athletes in various sport disciplines. Research hypothesis: to perform the same motor task athletes employ different ways of organizing the movement and different features of MTU functioning. The choice of a mechanism to enhance muscle contraction depends on sport discipline, in particular specific features of the sport movement. The study involved members of the Russian national teams in alpine skiing, bobsleighing, mogul skiing and ski jumping. The athletes performed drop jumps from the heights of 0.1, 0.3, and 0.5 m with no arm swing. Experimental data were obtained online from 24 cameras using the Qualisys motion capture system (400 frames per second) and the two force plates AMTI 6000. Data was processed using the OpenSim package. The authors calculated the amount of accumulation and utilization of elastic strain energy and assessed metabolic energy expenditures in MTU. The authors concluded that employment of different strategies of movement organization in drop jumps could be explained by the transfer of motor skills specific to the athlete’s sport discipline. The results of the study may help coaches develop individual training plans for athletes, in particular strength training exercises targeting specific muscle groups.

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Physical Predictors of Elite Skeleton Start Performance

Cited by 18 publications

References 16 publications

Monitoring What Matters: A Systematic Process for Selecting Training-Load Measures

Monitoring What Matters: A Systematic Process for Selecting Training-Load Measures

Analysis of Morphofunctional Variables Associated with Performance in Crossfit^® Competitors

Peculiarities of Muscle-Tendon Mechanics and Energetics in Elite Athletes in Various Sports

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Physical Predictors of Elite Skeleton Start Performance

Cited by 18 publications

References 16 publications

Monitoring What Matters: A Systematic Process for Selecting Training-Load Measures

Monitoring What Matters: A Systematic Process for Selecting Training-Load Measures

Analysis of Morphofunctional Variables Associated with Performance in Crossfit® Competitors

Peculiarities of Muscle-Tendon Mechanics and Energetics in Elite Athletes in Various Sports

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Product

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Analysis of Morphofunctional Variables Associated with Performance in Crossfit^® Competitors