Acute effects of in-step and wrist weights on change of direction speed, accuracy and stroke velocity in junior tennis players

Colomar, Joshua; Baiget, Ernest; Corbi, Francisco; Muñoz, Joshua

doi:10.1371/journal.pone.0230631

Cited by 10 publications

(17 citation statements)

References 28 publications

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“…The discrete gradient method uses a generalized finite difference method to calculate the gradient of a function at discrete points. Compared with the classical finite difference method based on regular grid, the discrete gradient method can approximate the differential in a differential manner on an irregular grid or any discrete point cloud [ 16 ]. The specific derivation process of the discrete gradient method and the accuracy, stability, and convergence of the method have been described in detail in the literature.…”

Section: Methodsmentioning

confidence: 99%

Biomechanical Analysis of Touch Ball Movements in Tennis Forehand Strokes

Luo

2022

Computational Intelligence and Neuroscience

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In order to improve the effect of certain theoretical basis for tennis coaches to correct technical movements and teaching training, a method oriented towards discrete gradient methods that can be used for computational solid mechanics is presented. The biggest feature of this method is that it can directly perform numerical simulation analysis on any point cloud model, without relying on any structured or unstructured grid model. Experimental results show that about 80% of the shots in the game are within 2.5 m of the athlete’s moving distance, and the athlete needs to have 300 to 500 high-intensity exercises; the total running distance of the competition is 1 100–3 600 m. The average VO2 of athletes during the competition is 20–30 mL/min/kg (45%–55% V.O2max), the average heart rate is 135–155 beats/min (70%–85% HRmax), the mean blood lactate was <4 mmol/L, the subjective fatigue was 12–14 (moderate intensity), and the mean metabolic equivalent was 5–7 METs. It is proved that the discrete gradient method can effectively solve the biomechanical analysis problem of tennis forehand hitting the ball. Make up for the lack of action details in the differentiation stage. Improve the effect of certain theoretical basis for tennis coaches to correct technical movements and teaching training.

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Section: Methodsmentioning

confidence: 99%

Biomechanical Analysis of Touch Ball Movements in Tennis Forehand Strokes

Luo

2022

Computational Intelligence and Neuroscience

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“…Despite the medicine ball group showing further improvements (11%) than the overloaded group (5%) in forehand velocity, this last design did not have a detrimental effect on precision as happened when performing MBT. Following this idea, Colomar et al (8) found that the use of light weights around the wrist did not negatively affect accuracy or SV, suggesting it may be a valid option for improvement in the long-term. Although literature is scarce regarding interventions with overweighted implements or limbs in tennis, investigations in other overhead sports may support the previously mentioned idea.…”

Section: Plyometrics Stretch Shortening Cycle Enhanced and Serve-spec...mentioning

confidence: 99%

Improving Tennis Serve Velocity: Review of Training Methods and Recommendations

Colomar

Corbi

Baiget

2022

Strength &Amp; Conditioning Journal

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One of the essential components to success in tennis is serve velocity (SV). Coaches and practitioners aim to maximize performance and results by increasing this determinant aspect. Concentrically or eccentrically predominant conventional resistance training programs have been used to raise SV, obtaining moderate increases in experienced populations. Nevertheless, indirect improvements in other components, such as asymmetry reductions and increased neural adaptations following these designs, could interest the young competitor. Other methodologies such as medicine ball throws and explosive or power-based programs that mimic the serve kinetic chain seem to obtain greater gains in young players, because the implication and body structures involved seem more specific to the action. More recent methodologies such as flywheel-based training or weighted implements or limbs also could be of interest, although further studies are needed to confirm the effectiveness of these programs and specific load prescriptions. However, data suggest that heavier or lighter load exercises seem valid options to improve SV if the athlete performs maximal intended execution velocity. Added to the currently available literature on training methods to increase SV, exercise prescription examples are provided to help the strength and conditioning coach improve this key variable.

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“…7 Using wearable loads may enhance stride frequency, resulting into a better agility performance. 8 Extra weights inclusion during specific training exercise report improvements in biomechanical parameters and performance values. 9 Developing strength and resistance gains in specific running movements could cause better training-performance transference, 3,10 improvements also recorded in other sports as tennis, 8 based on performance changes including forces' direction (lateral and horizontal), unilateral propulsion, full range and speed performance, cyclic movements, and multi-planar field.…”

Section: Introductionmentioning

confidence: 99%

“…8 Extra weights inclusion during specific training exercise report improvements in biomechanical parameters and performance values. 9 Developing strength and resistance gains in specific running movements could cause better training-performance transference, 3,10 improvements also recorded in other sports as tennis, 8 based on performance changes including forces' direction (lateral and horizontal), unilateral propulsion, full range and speed performance, cyclic movements, and multi-planar field. 3 Several mechanical determinants that are overloaded by lower-limb wearable resistance may be influenced over time to produce positive speed adaptations.…”

Section: Introductionmentioning

confidence: 99%

“…14 Instep weight use combined with running training changes race's mechanical parameters (horizontal-force velocity, impulse, 15 support time, suspension, flight time, frequency, step length), modifying muscle activity 16 and conditioning running biomechanical modifications and foot's plantar support on the ground; 17 feet support biomechanical modifications could reduce the risk of lower limb impairments produced by anomalous supports during the race. 8 Preliminary studies using video-graphic measurement on a 1% slope treadmill showed step frequency significant increase (+0.96%), Ankle dorsiflexion and maximum Ankle dorsiflexion during the second gait phase or swing phase, from toe to heel floor contact, especially when using a 200gram (g) weight. 18 In a small pilot test in triathletes (n=3) biomechanical parameters were analyzed during the race without instep weights and with 100g and 200g instep weights, on a 1% slope treadmill.…”

Section: Introductionmentioning

confidence: 99%

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Short-Term Influence Analysis of Different Instep Weights on 50 Meters Speed and Running Time

Caussa¹,

Morera²,

Riu³

et al. 2022

Preprint

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Instep weights cause mechanical changes, modifying muscle activity and changing ground plantar support. 30 semi-professional sprinters, randomized in 3 groups [no-weight, Ascending (50, 100, 150 and 200g), Descending (200, 150, 100 and 50g)] run 6 consecutive 50-meter series at maximum speed (first and sixth without weights); partial, total times and speed were analyzed. Instep weights were safe and well tolerated. 6th series speed decreased except in men’s ascending group, who achieved a lower time in sixth compared to first series. Weights presented in ascending order in men during warm-up could improve running time. Instep weights neuromuscular effects could compensate men’s tiredness in last series; weights could be included in training methodologies. Men training weights presented in ascending order may provide better results.

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Acute effects of in-step and wrist weights on change of direction speed, accuracy and stroke velocity in junior tennis players

Cited by 10 publications

References 28 publications

Biomechanical Analysis of Touch Ball Movements in Tennis Forehand Strokes

Biomechanical Analysis of Touch Ball Movements in Tennis Forehand Strokes

Improving Tennis Serve Velocity: Review of Training Methods and Recommendations

Short-Term Influence Analysis of Different Instep Weights on 50 Meters Speed and Running Time

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