Cluster-Set vs. Traditional-Set Plyometric Loading in Tennis Players (TENNIS_CLS-TRD)
Acute Effects of Cluster-Set vs. Traditional-Set Plyometric Loading on Countermovement Jump and Reactive Strength Index in Young Tennis Players
The present study aimed to compare the acute effects of cluster-set (CS) and traditional-set (TS) plyometric loading protocols on countermovement jump (CMJ) performance and reactive strength index (RSI-mod) in young tennis players.
Twenty-eight male tennis players (age: 16.7 ± 1.3 years) were randomly assigned to either a CS or TS group. Following a familiarization session, participants completed an experimental session including pre-tests (CMJ and drop jump), a plyometric loading protocol (CS: 3 × [5 × 2 repetitions, 15 s intra-set rest, 2 min between sets]; TS: 3 × 10 repetitions, 3 min between sets), and post-tests at 15 s, 3 min, and 6 min. CMJ height and RSI-mod were assessed using the My Jump 2 application. Borg Scale, Total Quality Recovery (TQR) were apply after post-tests at 15 s, 3 min, and 6 min.
調査の概要
詳細な説明
The present study aimed to compare the acute effects of cluster-set (CS) and traditional-set (TS) plyometric loading protocols on countermovement jump (CMJ) performance and reactive strength index (RSI-mod) in young tennis players. It was hypothesized that the CS method would elicit superior acute improvements in jump parameters and recovery due to reduced fatigue compared to the TS method. A total of 28 male adolescent tennis players, aged 13-17 years, voluntarily participated. Volunteers were randomly allocated into two experimental groups: Cluster Set Group (CS) and Traditional Set Group (TS). ). Participants were eligible if they met the following criteria.
i. Engaged in tennis training for ≥2 years, with a frequency of ≥3 sessions/week and participation in ≥4 tournaments annually.
ii. Had ≥6 months of experience with resistance and plyometric training. iii. No history of lower extremity muscle or joint injuries within the last three months.
iv. No regular use of drugs or stimulants for at least six months prior to the study.
The study consisted of two sessions: a familiarization session and an experimental session involving either the Cluster Set (CS) or Traditional Set (TS) protocol. Participants refrained from any exhaustive exercise for at least 48 hours prior to the familiarization session, and a 48-hour passive recovery period was observed between sessions. During the familiarization session, anthropometric measurements (height, body mass, body fat %) were recorded, and participants completed the Physical Activity Readiness Questionnaire (PAR-Q+). Following this, subjects performed a standardized warm-up and familiarization with the testing procedures. The experimental session included the following sequence: (i) Pre-test measurements: Countermovement Jump (CMJ) and Drop Jump (DJ), (ii) execution of either CS or TS plyometric protocol, (iii) immediate Post-15s): CMJ and DJ, (iv) passive recovery (3 min) followed by CMJ and DJ, and assessment using the Total Recovery Quality Scale (TQR), (v) additional passive recovery (3 m) followed by CMJ and DJ and TQR, (vi) final post-test (6 min): CMJ and DJ. Total workout 7 minutes and passive rest 6 minutes (Table 2). Participants were instructed to sleep at least 8 hours the night before testing. Maintain a normal diet and avoid medications, stimulants, ergogenic aids, or performance-enhancing substances. Before testing, all participants completed a 10-minute standardized warm-up, consisting of jogging, galloping, multidirectional running and jumping, calisthenic exercises for joint mobility, static and dynamic stretching. The procedure of the study is shown in Figure 1. All interventions were conducted between 15:00 and 17:00 in a synthetic-floored gym under controlled conditions (temperature: 18-24°C; humidity: 40-60%). Two Way ANOVA repeated measures analysis of variance, 2 groups (CS and TS) x 4 time (Pre, Post-15s; Post-3m and Post-6m) test was performed to compare the data and determine the differences. Bonferroni test was used for pairwise time and group comparisons.
研究の種類
入学 (実際)
段階
- 適用できない
連絡先と場所
研究場所
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Bursa、トルコ(Türkiye)、16059
- Bursa uludag University, Faculty of Sport Sciences
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参加基準
適格基準
就学可能な年齢
- 子
健康ボランティアの受け入れ
説明
Inclusion Criteria:
- Engaged in tennis training for ≥2 years, with a frequency of ≥3 sessions/week and participation in ≥4 tournaments annually.
- Had ≥6 months of experience with resistance and plyometric training.
- No history of lower extremity muscle or joint injuries within the last three months.
- No regular use of drugs or stimulants for at least six months prior to the study.
Exclusion Criteria:
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研究計画
研究はどのように設計されていますか?
デザインの詳細
- 主な目的:他の
- 割り当て:ランダム化
- 介入モデル:並列代入
- マスキング:なし(オープンラベル)
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
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実験的:Cluster Set Plyometric Loading
Cluster set: plyometric jumping 3 set , each set consist of 2 repetition x 5.
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Cluster Set: Vertical Jumping 3 set, 2 minute rest/set, in 1 set 5 x 2 repetition, 15 sec rest after each 2 repetition.
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アクティブコンパレータ:Traditional Set Plyometric Loading
Traditional set: pluometric jumping 3 set, each set consist of 10 repetition.
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Traditional set: Vertical jumping 3 set, 3 minute rest / set, in 1 set 10 repetition/set
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この研究は何を測定していますか?
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Vertical Jump
時間枠:From enrollment to the end of treatment at 15 days
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The counter movement jump (CMJ) test was used to determine vertical jump height.
CMJ is widely used to monitor neuromuscular status (i.e.
fatigue, performance, strength, and muscle overcompensation) from the analysis of bilateral mechanics and the ability to generate and the ability to generate and absorb ground reaction forces by the lower extremity.
The My Jump 2 (Copyright©Carlos Balsalobre Fernández) application of the My Jump Lab tools, based on artificial intelligence (AI) used to measure CMJ.
An iPad Pro 11-inch Model Air M2 (Apple Inc.
Cupertino, CA) used to capture each trial.
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From enrollment to the end of treatment at 15 days
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Vertical Jump
時間枠:From enrollment to the end of treatment at 15 days
|
The counter movement jump (CMJ) test was used to determine vertical jump high.
The My Jump 2 (Copyright©Carlos Balsalobre Fernández) application of the My Jump Lab tools, based on artificial intelligence (AI) used to measure CMJ.
An iPad Pro 11-inch Model Air M2 (Apple Inc.
Cupertino, CA) used to capture each trial.
|
From enrollment to the end of treatment at 15 days
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Reactive Strength Index (RSI-mod)
時間枠:From enrollment to the end of treatment at 15 days
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The Drop Jump (DJ) test was used to determine the RSI-mod.
The DJ can be used to determine the intensity of plyometric exercises, measure lower body reactive strength, monitor neuromuscular fatigue and test lower extremity stiffness.
The DJ is a frequently analyzed metric for determining the RSI.
It assesses an athlete's ability to rapidly transition from eccentric to concentric contraction and how much force the athlete can produce in the shortest possible time.
There are multiple calculations available to measure the RSI-mod, but the most used is jump height (meters) ÷ ground contact time (seconds).
Participants were asked to perform the DJ test by dropping to the ground from a 40 cm frame height with their hands on their hips and jumping upwards with maximal effort in the shortest time.
Vertical jump distance and RSI were determined using the My Jump 2 app.
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From enrollment to the end of treatment at 15 days
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Body composition
時間枠:From enrollment to the end of treatment at 15 days
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Participants' body weight and body fat percentage were assessed using a Tanita BC-418 bioelectrical impedance analyzer (Tanita Corp., Tokyo, Japan).
Height was measured with a Seca stadiometer (Seca Instruments Ltd., Hamburg, Germany).
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From enrollment to the end of treatment at 15 days
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Recovery
時間枠:From enrollment to the end of treatment at 15 days
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Recovery perception was evaluated using the Turkish version of the Total Quality Recovery (TQR) scale.
This scale ranges from 6 points ("very poor recovery") to 20 points ("very good recovery").
Participants completed the TQR at the end of each 3-minute passive rest period following Post-15s and Post-3m jump tests.
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From enrollment to the end of treatment at 15 days
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協力者と研究者
スポンサー
捜査官
- 主任研究者:Ramiz ARABACI, Prof.Dr.、Bursa uludag University, Faculty of Sport Sciences
出版物と役立つリンク
一般刊行物
- Deng N, Soh KG, Huang D, Abdullah B, Luo S, Rattanakoses W. Effects of plyometric training on skill and physical performance in healthy tennis players: A systematic review and meta-analysis. Front Physiol. 2022 Nov 24;13:1024418. doi: 10.3389/fphys.2022.1024418. eCollection 2022.
- Chen L, Zhang Z, Huang Z, Yang Q, Gao C, Ji H, Sun J, Li D. Meta-Analysis of the Effects of Plyometric Training on Lower Limb Explosive Strength in Adolescent Athletes. Int J Environ Res Public Health. 2023 Jan 19;20(3):1849. doi: 10.3390/ijerph20031849.
- Dello Iacono A, Beato M, Halperin I. The Effects of Cluster-Set and Traditional-Set Postactivation Potentiation Protocols on Vertical Jump Performance. Int J Sports Physiol Perform. 2019 Oct 15;15(4):464-469. doi: 10.1123/ijspp.2019-0186. Print 2020 Apr 1.
- Feng D, Yang W, Li L. Countermovement jump and reactive strength index of artistic gymnasts improve more with cluster-based plyometric training than with traditional methods. Sci Rep. 2024 Oct 21;14(1):24700. doi: 10.1038/s41598-024-76150-1.
- Salonikidis K, Zafeiridis A. The effects of plyometric, tennis-drills, and combined training on reaction, lateral and linear speed, power, and strength in novice tennis players. J Strength Cond Res. 2008 Jan;22(1):182-91. doi: 10.1519/JSC.0b013e31815f57ad.
- Hernandez-Davo JL, Loturco I, Pereira LA, Cesari R, Pratdesaba J, Madruga-Parera M, Sanz-Rivas D, Fernandez-Fernandez J. Relationship between Sprint, Change of Direction, Jump, and Hexagon Test Performance in Young Tennis Players. J Sports Sci Med. 2021 Mar 5;20(2):197-203. doi: 10.52082/jssm.2021.197. eCollection 2021 Jun.
- Zhang F, Liu Y, Liu J, Yeremenko O, Shi L. The effects of plyometric training on physical fitness in adolescent team sports: a systematic review and meta-analysis. Front Physiol. 2026 Jan 21;17:1760239. doi: 10.3389/fphys.2026.1760239. eCollection 2026.
- Vuong JL, Fett J, Ulbricht A, Ferrauti A. Physical determinants, intercorrelations, and relevance of movement speed components in elite junior tennis players. Eur J Sport Sci. 2022 Dec;22(12):1805-1815. doi: 10.1080/17461391.2021.2005150. Epub 2022 Jan 6.
- Kozinc Z, Sarabon N. Bilateral deficit in countermovement jump and its association with change of direction performance in basketball and tennis players. Sports Biomech. 2024 Oct;23(10):1370-1383. doi: 10.1080/14763141.2021.1942965. Epub 2021 Jun 16.
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研究開始 (実際)
一次修了 (実際)
研究の完了 (実際)
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キーワード
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その他の研究ID番号
- Date10.01.2025, Approval No460
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