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BADMINTON-SPECIFIC-MOVEMENT-AGILITY-TESTING-SYSTEM
... There are very limited studies in the related literature on reactive agility in badminton. Similar to the current study, Frederick et al. (2014), investigated differences between preplanned change of direction and reactive agility test protocol developed for badminton players. They placed a total of six interactive sensor LEDs in the four corners and midpoint of the badminton play area, with a mat in the half area. ...
Many laboratory and field tests are used in the literature to measure agility. The aim of the present study was to investigate the reliability and validity of a new Reactive Agility Test developed for badminton. A total of fourty male [ 20 elites (age: 20.8 ± 2.98 year, height: 174.55 ± 12.03 cm, weight: 65.70 ± 14.41 kg) and 20 sub-elites (age: 22.20±1,51, height: 170.01 ± 05.80 cm, weight: 62.45 ± 6,45 kg)] badminton players took part in the present study. For validity, the difference and relationship between newly developed reactive agility and planned changing direction tests in terms of elit and sub-elit players was examined. In the reliability measurements of test-retest, The Reactive Agility Test at same route was performed twice. Independent sample t test was carried out in order to detect the difference among the groups in the search for validity. The identification of the relations between the two different tests was performed with linear regression analysis. The reliability of test-retest was tried to be estimated with the coefficient of variances and intraclass correlation coefficient, and the Bland Altman method. In addition, a systematic difference between the test and the retest was estimated with the paired t test. At the end of the study, while there was not a significant difference found in the rates of planned changing direction of the elit and sub-elit players, it was detected that reactive agility rates were better in the elit players (7.14±4.85 sec and 9.87±5.07 sec, respectively). Moreover, a high coefficient determination was revealed between two tests (r2: 0.63, p<0.01). In the comparison of test-retest, a high intraclass correlation coefficient (0.930) and a very low coefficient of variances (4.7) were found. Furthermore, it was observed in the Bland Altman graph that a 95% of concordance range of the data obtained between two measurements was a good and narrow concordance. In conclusion, it was determined that the new developed badminton specific Reactive Agility Test is a valid and reliable measurement method and it is suggested that this test protocol can be used to enhance and monitor reactive agility ability of badminton players.Extended English summary is in the end of Full Text PDF (TURKISH) file. ÖzetLiteratürde çevikliğin ölçülmesi amacıyla birçok laboratuvar ve saha testi kullanılmaktadır. Bu çalışmanın amacı badminton sporuna göre düzenlenmiş Reaktif Çeviklik Testinin güvenirlik ve geçerliğinin araştırılmasıdır. Araştırmaya toplam kırk erkek [20 elit (yaş: 20,8±2,98 yıl, boy uzunluğu: 174,55±12,03 cm, vücut ağırlığı:65,70±14,41 kg) ve 20 sub-elit (yaş: 22,20±1,51 yıl, boy uzunluğu: 170,01±05,80 cm, vücut ağırlığı:62,45±6,45 kg)] badminton oyuncusu katılmıştır. Geçerlik için yeni geliştirilen reaktif çeviklik ile planlı yön değiştirme testlerinin elit ve sub-elit katılımcılar arasındaki istatistiksel karşılaştırması ve ilişkisi analiz edilmiştir. Test-tekrar test güvenirlik ölçümlerinde aynı rotadaki reaktif çeviklik testi birer gün arayla iki kez uygulanmıştır. Geçerlik çalışmasında gruplar arası farkın belirlenmesi için bağımsız değişken t testi ve testler arası ilişkinin fonksiyonel olarak açıklanması ve bu ilişkinin bir modelle tanımlanması için basit doğrusal regresyon analizi yapılmıştır. Test-tekrar test güvenirliği varyasyon katsayısı, sınıf içi korelasyon katsayısı ve Bland Altman metodu ile kestirim edilmiştir. Ayrıca test- tekrar test arasında sistematik bir farkın olup olmadığı eşleştirilmiş t testi ile sınanmıştır. Çalışma sonunda elit ve sub-elit oyuncuların planlı yön değiştirme bulguları anlamlı bir fark bulunmazken, reaktif çeviklik derecelerinin elit oyuncularda istatistiksel olarak anlamlı farklı (sırasıyla 7,14±4.85 sn ve 9,87±5,07 sn) şekilde düşük olduğu tespit edilmiştir. Bununla beraber her iki test arasında yüksek düzeyde bir açıklayıcılık katsayısı tespit (r2: 0,63, p<0.01) edilmiştir. Test- tekrar test karşılaştırılmasında yüksek bir sınıf içi korelasyon katsayısı (0,930) ve çok düşük varyasyon katsayısı (4,7) belirlenmiştir. Ayrıca Bland-Altman grafiğinde iki ölçüm arasında elde edilen tüm verilerin %95 uyum aralığının dar ve iyi bir uyum gösterdiği gözlenmiştir. Sonuç olarak, badminton sporuna göre düzenlenmiş Reaktif Çeviklik Testinin geçerli ve güvenilir bir ölçüm yöntemi olduğu tespit edilmiştir ve badminton oyuncularının reaktif çeviklik becerilerinin geliştirilmesinde ve gelişimlerinin takibinde kullanılabileceği önerilmektedir.
Introduction: To study the effects of Pilates exercise and conventional exercise on trunk and postural stability in collegiate basketball players. Objectives: To determine the effects of pilates exercise on trunk and postural stability in collegiate basketball players. To determine the effects of conventional exercise on trunk and postural stability in collegiate basketball players. Methods: This is a quasi-experimental design of pre and post-test type. The study duration was for 6 weeks, age between 18-25 years and the study conducted on university players. The modified star excursion balance test and double leg lowering test was used as the outcome measures to evaluate the postural control and core muscle strength. Subjects were explained about the training protocols. Procedure: Subjects in Group-A underwent Pilates exercise and Group-B underwent conventional exercise. The data was collected prior to the training program as well at the end of the training program. A combination of mobility and stability is required by active people for optimal functional performance and for the correction of poor posture, muscle imbalances and poor biomechanics. The concept of trunk mobility and stability contributing to improved performance was used in training and rehabilitating athletes today. Conclusions: The Pilates exercise shows better improvement than the conventional exercise in trunk and postural stability. So, it is concluded that Pilates exercise training is recommended to improve trunk and postural stability of collegiate basketball players.
Purpose: The study aimed to find the association between ankle muscle strength and agility in competitive badminton players. Method: Thirty-two competitive badminton players (age 21.1 ± 2.9 years and competition experience 4.8 ± 1.9 years) participated in the study. The maximum isometric strength for the ankle dorsiflexor, plantar flexor, invertor, and evertor was tested with the Baseline Push-Pull Dynamometer per the standard method. Agility data were collected by using the modified badminton-specific agility testing protocol. Analysis: Karl Pearson’s correlation coefficient was used to determine the correlations, and one-way ANOVA (F) was used to compare the agility and ankle muscle strength in different players’ competitiveness levels. P -value ≤ 0.05 was considered statistically significant. Results: Agility was significantly correlated to the playing years’ experience ( r = 0.43; P = 0.01) and competitiveness ( r = 0.55; P = 0.001). Agility significantly varied among the different competitive levels ( F = 7.49; P = 0.002). There was no significant correlation between ankle muscle strength and agility. Conclusion: Our study shows that ankle muscle strength did not significantly affect the agility of competitive badminton players. However, the agility was significantly different with the level of competitiveness and was correlated to the playing experience years of the players.
The aims of this study were to establish the physical and physiological attributes of elite and sub-elite Malaysian male badminton players and to determine whether these attributes discriminate elite players from sub-elite players. Measurements and tests of basic anthropometry, explosive power, anaerobic recovery capacity, badminton-specific movement agility, maximum strength, and aerobic capacity were conducted on two occasions, separated by at least one day. The elite (n = 12) and sub-elite (n = 12) players' characteristics were, respectively: mean age 24.6 years (s = 3.7) and 20.5 years (s = 0.7); mass 73.2 kg (s = 7.6) and 62.7 kg (s = 4.2); stature 1.76 m (s = 0.07) and 1.71 m (s = 0.05); body fat 12.5% (s = 4.8) and 9.5% (s = 3.4); estimated VO(2max) 56.9 ml . kg(-1) . min(-1) (s = 3.7) and 59.5 ml . kg(-1) . min(-1) (s = 5.2). The elite players had greater maximum absolute strength in one-repetition maximum bench press (P = 0.015) compared with the sub-elite players. There were significant differences in instantaneous lower body power estimated from vertical jump height between the elite and sub-elite groups (P < 0.01). However, there was no significant difference between groups in shuttle run tests and on-court badminton-specific movement agility tests. Our results show that elite Malaysian male badminton players are taller, heavier, and stronger than their sub-elite counterparts. The test battery, however, did not allow us to discriminate between the elite and sub-elite players, suggesting that at the elite level tactical knowledge, technical skills, and psychological readiness could be of greater importance.
While studies have investigated change of direction speed in rugby league players, no study has investigated the reactive agility of these athletes. The purpose of this study was to investigate the reactive agility of rugby league players, to determine if this quality discriminated higher and lesser skilled players. Twenty-four elite (mean+/-S.D. age, 24.5+/-4.2 years) and 42 sub-elite (23.6+/-5.3 years) rugby league players completed a game-specific test of reactive agility. Elite players had better response accuracy (93.2+/-1.9% vs. 85.5+/-2.5%; p<0.05, effect size=0.58) and faster decision (89.5+/-5.8ms vs. 111.5+/-6.4ms; p<0.05, effect size=0.62) and movement times (2.35+/-0.03s vs. 2.56+/-0.03s; p<0.05, effect size=1.39) on the reactive agility test than sub-elite players. The reactive agility test was able to distinguish four distinct classifications. Specifically, players were classified as requiring either (1) decision-making and change of direction speed training to further consolidate good physical and perceptual abilities, (2) decision-making training to develop below average perceptual abilities, (3) change of direction speed training to develop below average physical attributes or (4) a combination of decision-making and change of direction speed training to develop below average physical and perceptual abilities. The results of this study demonstrate that a test of reactive agility discriminates higher and lesser skilled rugby league players. In addition, these findings highlight the important contribution of perceptual skill to agility in rugby league players.
The aim of this study was to test the reliability and construct validity of a reactive agility test (RAT), designed for Australian Football (AF).
Study I tested the reliability of the RAT, with 20 elite junior AF players (17.44 +/- 0.55 y) completing the test on two occasions separated by 1 wk. Study II tested its construct validity by comparing the performance of 60 participants (16.60 +/- 0.50 y) spread over three aged-matched population groups: 20 athletes participating in a State Under-18 AF league who had represented their state at national competitions (elite), 20 athletes participating in the same league who had not represented their state (subelite), and 20 healthy males who did not play AF (controls).
Test-retest reliability reported a strong correlation (0.91), with no significant difference (P = .22) between the mean results (1.74 +/- 0.07 s and 1.76 +/- 0.07 s) obtained (split 2+3). Nonparametric tests (Kruskal-Wallis and Mann-Whitney) revealed both AF groups performed significantly faster on all measures than the control group (ranging from P = .001 to .005), with significant differences also reported between the two AF groups (ranging from P = .001 to .046). Stepwise discriminant analyses found total time discriminated between the groups, correctly classifying 75% of the participants.
The RAT used within this study demonstrates evidence of reliability and construct validity. It further suggests the ability of a reactive component within agility test designs to discriminate among athletes of different competition levels, highlighting its importance within training activities.
The purpose of this study was to present a new methodology for the measurement of agility for netball that is considered more ecologically valid than previous agility tests. Specifically, the agility performance of highly-skilled (n = 12), moderately-skilled (n = 12) and lesser-skilled players (n = 8) when responding to a life-size, interactive video display of a netball player initiating a pass was compared to a traditional, pre-planned agility movement where no external stimulus was present. The total movement times and decision times of the players were the primary dependent measures of interest. A second purpose of the research was to determine the test-retest reliability of the testing approach. Results revealed significant differences existed between the 2 test conditions demonstrating that they were measuring different types of agility. The highly-skilled group was significantly faster in both the reactive and planned test conditions relative to the lesser-skilled group, while the moderately-skilled group was significantly faster than the lesser-skilled group in the reactive test condition. The decision time component within the reactive test condition revealed that the highly-skilled players made significantly faster decisions than the lesser-skilled players. It is reasoned that it is this decision-making component of reactive agility that contributes to the significant differences between the two test conditions. The testing approach was shown to have good test-retest reliability with an intra-class correlation of r = .83.
Linked Research
Conference Paper
October 2014