The Influence of Functional Flywheel Resistance Training on Movement Variability and Movement Velocity in Elite Rugby Players

Fernández-Valdés, Bruno; Sampaio, Jaime; Exel, Juliana; González, Julián; Tous-Fajardo, Julio; Jones, Ben; Moras, Gerard

doi:10.3389/fpsyg.2020.01205

Cited by 14 publications

(28 citation statements)

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“…Overall, forwards present the lower movement variability in all blocks than backs. Previous research suggests that movement variability might be reduced by different factors; on the one hand as a function of practice or experience [ 51 , 62 ], and on the other hand because of aging [ 27 ], disease [ 27 ], injury [ 63 ] or fatigue [ 64 ]. Therefore, since forwards perform more collisions during the course of a match [ 12 ] this might suggest that forwards adjust better to tackle actions.…”

Section: Discussionmentioning

confidence: 99%

“…Within the past 20 years, entropy analysis has gained popularity in movement sciences in sports to describe changes in postural control [ 35 – 38 ], assessment of running [ 39 , 40 ], human walking data [ 41 – 43 ], tactical behaviour in soccer [ 44 , 45 ], force production [ 46 – 48 ] and as a measure of system complexity in sports [ 49 ]. Recently, it has also been validated for detecting increases in movement variability in elite rugby players during resistance training when a ball is included [ 50 , 51 ].…”

Section: Introductionmentioning

confidence: 99%

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A novel application of entropy analysis for assessing changes in movement variability during cumulative tackles in young elite rugby league players

Fernández-Valdés¹,

Jones²,

Hendricks³

et al. 2023

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The aim of this study was to identify between-position (forwards vs. backs) differences in movement variability in cumulative tackle events training during both attacking and defensive roles. Eleven elite adolescent male rugby league players volunteered to participate in this study (mean ± SD, age; 18.5 ± 0.5 years, height; 179.5 ± 5.0 cm, body mass; 88.3 ± 13.0 kg). Participants performed a drill encompassing four blocks of six tackling (i.e. tackling an opponent) and six tackled (i.e. being tackled by an opponent while carrying a ball) events (i.e. 48 total tackles) while wearing a micro-technological inertial measurement unit (WIMU, Realtrack Systems, Spain). The acceleration data were used to calculate sample entropy (SampEn) to analyse the movement variability during tackles performance. In tackling actions SampEn showed significant between-position differences in block 1 (p = 0.0001) and block 2 (p = 0.0003). Significant between-block differences were observed in backs (block 1 vs 3, p = 0,0021; and block 1 vs 4, p = 0,0001) but not in forwards. When being tackled, SampEn showed significant between-position differences in block 1 (p = 0.0007) and block 3 (p = 0.0118). Significant between-block differences were only observed for backs in block 1 vs 4 (p = 0,0025). Movement variability shows a progressive reduction with cumulative tackle events, especially in backs and when in the defensive role (tackling). Forwards present lower movement variability values in all blocks, particularly in the first block, both in the attacking and defensive role. Entropy measures can be used by practitioners as an alternative tool to analyse the temporal structure of variability of tackle actions and quantify the load of these actions according to playing position.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel application of entropy analysis for assessing changes in movement variability during cumulative tackles in young elite rugby league players

Fernández-Valdés¹,

Jones²,

Hendricks³

et al. 2023

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“…However, the relationship of MV and performance is unclear ( Urbán et al, 2019 ) and it might depend on the nature of the intrinsic dynamics of the system and the task constraints, as suggested by Newell and Vaillancourt (2001) . Nevertheless, it seems that after a period of training, an adaptation process occurs, leading to an improvement in performance and a reduction in MV ( Fernández-Valdés et al, 2020 ; Bashford et al, 2022 ), indicating that motor learning takes place ( Newell et al, 1989 ).…”

Section: Introductionmentioning

confidence: 99%

Decision making influences movement variability and performance of high-level female football players in an elastic resistance task

Tuyà Viñas,

Fernández-Valdés Villa,

Pérez-Chirinos Buxadé

et al. 2023

Front. Psychol.

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IntroductionThe inclusion of sport-specific constraints in resistance training promotes the development of player abilities in an integrated way, which maximises the effectiveness of player adaptations induced by training. Considering that perceptual-cognitive abilities play a fundamental role in football, decision making could be introduced to enhance the cognitive similarity of resistance tasks to sport actions. However, it is unknown how decision making as a constraint could affect the player during an elastic resistance task. Therefore, the aim of this study was to investigate the effects of decision making of high-level female football players on movement variability and performance during an elastic band resistance task.MethodsTwenty-three high-level female football players performed the elastic resistance task with a ball, both as attackers and as defenders without decision making (NDM) and with decision making (DM). The movement variability was quantified using the sample entropy derived from the acceleration recorded with an accelerometer placed at the lower back of each player. The passing accuracy of the attacker was quantified using a scoring scale.ResultsResults revealed that adding decision making to an elastic resistance task increased the movement variability of the defender but did not affect the movement variability of the attacker. In contrast, the passing accuracy of the attacker was reduced. Overall, the attacker had a higher movement variability compared to the defender.DiscussionThese findings suggest that decision making, as a football-specific constraint, can enhance the potential of an elastic resistance task in training. This is due to the fact that it reduces control and regularity of movement for the defensive role player and increases technical difficulty for the attacking role player. Furthermore, these effects are beneficial, as they can promote the adaptive processes necessary to optimise the performance of the players.

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“…Although it remains unclear if flywheel training is, in terms of strength indicators, superior to gravitational based programs [ 12 ], predominantly eccentric resistance training has been suggested to elicit significant gains in strength, muscle mass and power [ 13 ], helping to avoid the appearance of injuries [ 14 ]. Added to this, sport specific performance indicators seem thoroughly improved by these approaches to training [ 14 , 15 ]. Also, some investigations have concluded greater gains in functional performance variables such as jump ability or speed in training groups using flywheel-based programs compared to traditional procedures [ 14 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of isoinertial or machine-based strength training on performance in tennis players

Canós¹,

Corbi²,

Colomar³

et al. 2022

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The objective of this study was to analyze the effects of two 8-week neuromuscular training (NMT) interventions on selected physical indicators in young tennis players. Twenty-four junior male tennis players were assigned to a machine-based (MG) (n = 8), flywheel (FG) (n = 8) or a control training group (CG) (n = 8). Tests at baseline, week 4 and 8 included: countermovement jump (CMJ); speed (S; 5, 10, 15 m); agility (right [AR] and left [AL]); serve velocity (SV) and medicine ball throws (MBT; overhead [O], forehand [FH], backhand [BH]). MG and FG attained large positive effects at week 4 in CMJ, S 10 m; AR, AL and MBT FH only in FG. Regarding inter- to post-test, MG achieved large positive effects in MBT O, FH and both groups in BH. Large negative effects appeared for FG in S 5 and 10 m and AR and AL. Both NMT interventions led to positive effects from baseline to week 4 measures in CMJ, S 5 m, 10 m and agility and at week 8 in MBT. Conducting the same NMT for a longer period of time did not lead to the same improvements and other negative effects in FG appeared. Results indicate that performing these interventions with little exercise variability or load management, especially after technical-tactical sessions, could interpose further beneficial outcomes and initial gains could be impaired.

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The Influence of Functional Flywheel Resistance Training on Movement Variability and Movement Velocity in Elite Rugby Players

Cited by 14 publications

References 50 publications

A novel application of entropy analysis for assessing changes in movement variability during cumulative tackles in young elite rugby league players

A novel application of entropy analysis for assessing changes in movement variability during cumulative tackles in young elite rugby league players

Decision making influences movement variability and performance of high-level female football players in an elastic resistance task

Effects of isoinertial or machine-based strength training on performance in tennis players

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