- Detalles de la revista
- Formato
- Revista
- eISSN
- 1899-7562
- Primera edición
- 13 Jan 2009
- Calendario de la edición
- 5 veces al año
- Idiomas
- Inglés
Badminton is an interceptive, fast racket sport in terms of shuttle velocity with an average velocity reaching up to 70 m/s (Phomsoupha and Laffaye, 2014, 2015). On average six strokes are played during rallies of seven seconds and the average stroke frequency is high with approximately one shot per second (Phomsoupha and Laffaye, 2015). To keep up with the high game speed, a fast reaction time is utmost important to achieve elite performance (Loureiro and Freitas, 2012). The unpredictability of the opponent’s actions and the usage of feint strokes in elite badminton indicate inhibitory control as crucial for elite performance as well. Although it is recognised that a combination of excellence in technical, tactical, anthropometrical, physical and mental skills is needed for elite sports performance (Elferink-Gemser et al., 2011), fast reaction time and outstanding inhibitory control are suggested to be indispensable for expertise in badminton. However, due to limited available literature, the importance of reaction time and inhibitory control to reach and perform on the elite level in badminton can only be speculated.
Reaction time is a measure of processing speed and reflects response efficiency in information processing tasks. A fast reaction time is thought to be necessary for quick and accurate reactions in fast paced sports (Voss et al., 2010). Reaction time is considered a lower-level cognitive function that supports basic information processing (Wetherell, 1997). Inhibitory control refers to the ability to stop a planned or dominant motor response and is a higher-level cognitive function (Williams et al., 1999). Higher-level cognitive functions are often called executive functions and are important in tasks that demand among others concentration, coordination, change and overriding a strong internal or external pull (Diamond, 2006).
The relation between lower-level cognitive performance and sports performance is described in the reviews of Voss and Kramer (2010) and Mann et al. (2007). The review of Voss and Kramer (2010) examined domain-general reaction time by means of the component skills approach, that measures cognitive performance in a context outside sports (Alves et al., 2013). Mann et al. (2007) examined context-specific reaction time and included studies that applied the expert performance approach. This approach makes use of a test-setting that reflects the demands of a specific sport. Despite of the different approach, both reviews showed that a fast reaction time was important for elite performance, especially in interceptive sports like badminton (Mann et al., 2007; Voss et al., 2010). This suggests that elite badminton players are able to react faster than non-elite badminton players.
Recent studies focusing on higher-level cognitive performance in soccer revealed that elite or talented soccer players outscored non-elite players on domain-general inhibitory control tasks (Huijgen et al., 2015; Verburgh et al., 2014; Vestberg et al., 2012). Kida et al. (2005) assessed the context-specific inhibitory control of baseball players and were not only able to discriminate elite players from non-elite, but also from sub-elite ones. In summary, measures of domain-general and context-specific inhibitory control seem to be able to distinguish players from different performance levels (Huijgen et al., 2015; Kida et al., 2005; Verburgh et al., 2014; Vestberg et al., 2012).
Up to now, literature on reaction time and inhibitory control in badminton players of various performance levels has been limited. As an exception, Loureiro and Freitas (2012) presented that elite badminton players had a significantly faster badminton-specific reaction time than non-elite players. However, this study provided no evaluation of reproducibility and validity of the used test and did not include the assessment of inhibitory control. For an accurate examination of reaction time and inhibitory control in badminton players of various performance levels, both domain-general and badminton-specific reaction time as well as inhibitory control should be assessed. Considering that, to our knowledge, no such a test existed (Faber et al., 2016), a test was developed measuring four components: domain-general reaction time, badminton-specific reaction time, domain-general inhibitory control and badminton-specific inhibitory control. For the assessment of domain-general reaction time and inhibitory control, a procedure similar to the Stop Signal Task was included in the test (Williams et al., 1999). The ‘stop signal task’ is a reproducible measure of domain-general reaction time (split-half reliability = 0.97) and inhibitory control (split-half reliability = 0.91, ICC = 0.86) (Congdon et al., 2012; Williams et al., 1999). Badminton-specific reaction time and inhibitory control were assessed in a procedure based on the badminton-specific test used by Loureiro and Freitas (2012), completed with badminton-specific match play characteristics. These badminton-specific characteristics include reaching movements of the arm to simulate stroke execution, a semi-squat central position (Loureiro and Freitas, 2012), rapid whole body movements to the forehand and backhand side (i.e. lunges) (Hong et al., 2014; Kuntze et al., 2010) and visual cues (Lees, 2003; Phomsoupha and Laffaye, 2015).
The aim of the current study was to evaluate the newly developed test on 1) the reproducibility for the assessment of badminton-specific reaction time and inhibitory control, and 2) the validity for the assessment of all four components of the test, and as such containing both domain-general and badminton-specific reaction time as well as inhibitory control in elite and non-elite badminton players. Validity was investigated by comparing the test results of elite badminton players with non-elite badminton players and by examining the relationship between the test results and the national ranking for elite and non-elite players, separately. Reproducibility of the badminton specific part was hypothesized to be at an acceptable level, since the procedures were similar to those used in the ‘stop signal task’. Moreover, regarding the evaluation of validity, it was hypothesized that elite badminton players would outscore non-elite players on measures of reaction time and inhibitory control and that there would be moderate relationships between reaction time and the national ranking as well as between inhibitory control and the national ranking.
In total 24 Dutch male badminton players divided into two groups participated in the study. The elite group (n = 15; 25 ± 4 years) included male badminton players who took part in the Dutch national competition in the season of 2015-2016 and were ranked within the top 100 on the Dutch national men’s singles badminton ranking list at the moment of test execution. The non-elite group (n = 9; 24 ± 4 years) included players who participated in the Dutch regional competition in one of the nine regions in the season of 2015-2016 and had a ranking exceeding 100 on the Dutch national men’s singles badminton ranking list at the moment of test execution. The characteristics of the elite and non-elite groups are presented in Table 1. Elite players trained significantly more hours per week (
Characteristics of the elite and non-elite badminton players (mean ± SD)N Elite N Non-elite t df Age (years) 15 25 ±4 9 24 ±4 0.643 22 0.527 Body Height (cm) 9 190 ±8 8 185 ±3 2.013 11 0.069 Badminton training (h/wk) 11 7±3 7 2±1 5.656 11 <0.001 Starting age (years) 11 8±2 7 11±4 -1.912 16 0.074 Ranking 15 39 ±24 9 2753 ±1586 U< Z = -4.50 <0.001 Median = 35 Median = 3184 0.001
A two-fold design was used to evaluate the reproducibility and validity of the test. First, the reproducibility of the assessment of badminton-specific reaction time and inhibitory control was examined by means of a test-retest design. The time between the initial test and retest ranged from two to three weeks. In the second part of the study, the validity of all four components of the test was evaluated. The test was examined on its ability to discriminate between elite and non-elite players and on the relationship between test results and the national ranking.
The newly developed Badminton Reaction Inhibition Test (BRIT) consisted of four components: domain-general reaction time, badminton-specific reaction time, domain-general inhibitory control and badminton-specific inhibitory control. The domain-general components were measured with the domain-general stop signal task, of which procedure is similar to the Stop Signal Task of Logan and Cowan (1984). The badminton-specific components were measured with the badminton-specific stop signal task.
The task involved go-trials and stop-trials. During a go-trial, a cartoon cyclist (go-stimulus) appeared for 1000 ms in the centre of the computer screen either facing the left or right side. The players had to respond to the go-stimulus as fast as possible by pressing a key on the keyboard with the spatially corresponding index finger. In 25% of all trials a red cross appeared at the former location of the go-stimulus after a certain stop signal delay (SSD). These were the so called stop-trials. Whenever the stop-stimulus was presented, the motor response should be stopped immediately (i.e. inhibitory control). The initial SSD was set at 175 ms and increased with 50 ms when the player succeeded to inhibit the response and decreased with 50 ms when the player failed to do so, resulting in a success rate around 50% to inhibit the response (Verbruggen and Logan, 2009). In every trial a fixation point preceded the go-stimulus for 500 ms and the inter-trial delay was 1000 ms.
The task consisted of two practice blocks and four experimental blocks. The first practice block included 16 go-trials and no stop-trials and the second practice block included 32 trials with 25% of stop-trials. After the two practice blocks, four test blocks of 32 trials with 25% of stop-trials followed. Reaction time was the time in milliseconds between go-stimulus appearance and pushing of the corresponding key during go-trials. The following outcome variables were generated: DGRT (Domain General Reaction Time) which was the average reaction time during the four test blocks and DGIC (Domain General Inhibitory Control) which was calculated by subtracting the mean SSD from the DGRT. Reaction times faster than 200 ms or slower than 1000 ms were referred to as anticipation errors or omission errors and were not included in the analysis (Kida et al., 2005). For the Stop Signal Test, high reliability for domain general reaction time and domain general inhibitory control had been reported (split-half reliability = 0.91 and 0.93, respectively) (Williams et al., 1999).
The badminton-specific stop signal task made use of the fitLight Trainer™ (fitLight Sports Corp., Canada). The fitLight Trainer™ is a wireless reaction training system consisting of LED powered lights controlled by a tablet. The lights can be deactivated by touch. During the test, the players were positioned in front of a wall on which three lights of the fitLight Trainer™ were placed as depicted in Picture 1. The main task was to deactivate the correct light as fast as possible as soon as it lit up. The following features were added to resemble badminton match play: 1) all lights had to be deactivated with the players’ preferred hand (the hand in which players normally hold their racket), 2) the horizontal distance between the centre light and the two outer lights was 130 cm and therefore afforded the use of a small lunge to either the forehand side (side of the preferred hand) or the backhand side (side opposite to the preferred hand) to reach them (Hong et al., 2014; Kuntze et al., 2010) and 3) the lights were placed at a height of 110 cm, affording the players to bent through their knees to deactivate the lights in an easy manner and this position reflected the central position during badminton play (Loureiro and Freitas, 2012).
Test setting of the badminton-specific stop signal task: frontal view of the wall with three lights of the fitLight Trainer™
Test setting of the badminton-specific stop signal task: frontal view of the wall with three lights of the fitLight Trainer™
The task included go-trials and stop-trials. During a go-trial, the centre light lit up (yellow or pink) and it had to be deactivated, directly followed by deactivating the corresponding outer light; the yellow light corresponded with the left outer light and the pink light with the right outer light. After deactivating the outer light, the player returned to the central position and another trial started. A stop-trial was identical to a go-trial, except that after deactivation of the centre light, all three lights turned red after a certain amount of time called the stop signal delay (SSD). As a consequence, the player was already moving from the recently deactivated centre light to the corresponding outer light once the lights turned red. The red lights reflected the stop-stimuli, indicating that the motor response had to be stopped immediately and the outer light should not be deactivated. After correctly inhibiting the motor response or (by error) deactivating the outer light, the player returned to the central position again. All blocks consisted of 12 trials. The time between centre light deactivation and appearance of the next trial was set at 2150 ms for all trials and before each trial the centre light turned blue for 500 ms as a fixation stimulus.
The test consisted of two conditions presented in the following order: the go condition and the go-stop condition. Both conditions started with one practice block followed by the test block(s). The go condition was comprised of merely go-trials and included one test block, while the go-stop condition included go-trials and 25-33% of stop-trials per block. During the practise block, the SSD was set at 100 ms and the players were told that the red lights were only a visual distraction and that they should still react as fast as possible to get used to the stop-stimuli (Williams et al., 1999). All players started with the first test block characterised by a stop signal delay (SSD) of 100 ms. Whenever the success rate (% of correctly inhibited stop-trials in the current block) was 50% or higher, the following block consisted of a SSD increased by 50 ms. Whenever the success rate was lower than 50%, a second test block with the same SSD was performed. The test finished when two consecutive blocks with a success rate lower than 50% appeared. The SSD of these last two blocks was called the End SSD.
Reaction time was determined as the time in milliseconds between deactivation of the centre light and deactivation of the outer light. Go BSRT (Badminton Specific Reaction Time of the Go condition) and Go-stop BSRT (Badminton Specific Reaction Time of the Go-stop condition) represented the average reaction time during go-trials for the go and go-stop condition, respectively. This was further subdivided into Go/Go-stop forehand BSRT (BSRT to the side of the players’ preferred hand) and go/go-stop backhand BSRT (BSRT to the side opposite to the players’ preferred hand). BSIC (Badminton Specific Inhibitory Control) was calculated by subtracting the End SSD from the Go-stop BSRT. Shorter BSIC reflected better inhibitory control. Reaction times faster than 200 ms or slower than 1000 ms were referred to as anticipation error or omission error and were not included in the analysis (Kida et al., 2005).
The study was conducted in compliance with the Declaration of Helsinki and approved by the Ethics Committee of the Medical Faculty of the University of Groningen (January, 2016). Written informed consent was obtained prior to testing.
Testing was conducted under supervision of one researcher with help of two other experienced test leaders and took place during the Dutch National Championships or prior to a training session. During the testing session, the players executed the BRIT and filled in a questionnaire about badminton related activities over the past eight years, including hours of training per week and starting age. Not all players completed all test components of the BRIT and the questionnaire due to limited time or unwillingness to do a physically demanding test (badminton-specific component BRIT) prior to match play.
IBM SPSS Statistics 23 (IBM Corp. Somers, NY) was used for data analysis. All test variables were checked for normality by examining normality plots, z-scores of skewness and kurtosis. The ranking was considered as ordinal data. For both the elite and non-elite groups, the mean and standard deviation of every outcome variable was determined.
First, the reproducibility of badminton-specific reaction time and inhibitory control during the go-stop condition (respectively go-stop BSRT and go-stop BSIC) was examined by measures of absolute and relative test-retest reliability and measures of agreement. Absolute reliability was examined by means of paired t-tests and relative reliability by means of the intraclass correlation coefficient (ICC, model oneway random). An ICC lower than .40 reflected poor reliability, between .40 and .75 fair to good reliability and above .75 excellent reliability (Fleiss, 1999). Measure of agreement was determined by the coefficient of variation (CV) (de Vet et al., 2006).
Second, the construct validity of all four components of the BRIT was evaluated. This was done by examining the between group difference (elite versus non-elite) for all test variables separately by means of a one-way analysis of variance, supported by the Cohen’s d effect-size. Finally, concurrent validity was investigated by examining the relationship between the national ranking and all test variables. This was examined for the elite and non-elite players separately due to the spread in the ranking between the two participant groups. The Spearman’s rho correlation coefficient supported by the coefficient of determination as an effect-size was calculated for examination of concurrent validity. Alpha was set at .05 for all analyses.
Reproducibility outcomes for badminton-specific reaction time (BSRT) showed a mean difference between the initial test and retest of 1 ms (95% CI: -78 - 80) and met the criteria of good relative reliability (ICC = 0.626,
The results of the construct validity analyses are presented in Table 2. Elite and non-elite players did not differ in domain-general reaction time (DGRT). Elite players outscored non-elite players on measures of badminton-specific reaction time during the go condition (Go BSRT) and on measures of badminton-specific backhand reaction time during the go condition (Go backhand BSRT) (
Results on the BRIT for the elite and non-elite badminton players (mean ± SD) and analysis of variance results for comparisons of means between groupsANOVA Elite Non-elite F(df) d Reaction time Domain-general n= 13 n = 9 DGRT (ms) 336 ± 41 346 ± 56 0.239 (1,20) 0.630 0.21 Badminton-specific n = 10 n = 7 Go BSRT (ms) 433 ± 93 538 ± 64 6.650 (1,15) 0.021 1.27 Go forehand BSRT (ms) 427 ±107 487 ± 71 1.674 (1,15) 0.215 0.64 Go backhand BSRT (ms) 438 ±100 544 ± 65 6.082 (1,15) 0.026 1.22 Go-stop BSRT (ms) 455 ± 92 513 ± 80 1.811 (1,15) 0.198 0.66 Go-stop forehand BSRT (ms) 451 ± 94 482 ± 95 0.465 (1,15) 0.506 0.34 Go-stop backhand BSRT (ms) 460 ± 94 543 ± 70 3.955 (1,15) 0.065 0.98 Inhibitory control Domain-general n = 13 n = 9 DGIC (ms) 207 ± 28 209 ± 17 -0.205 (1,20) 0.840 0.09 Badminton-specific n = 10 n = 7 BSIC (ms) 235 ± 83 234 ± 75 0.001 (1,15) 0.981 -0.01
Results on concurrent validity analyses are presented in Table 3 for the elite and non-elite players separately. The national ranking accounted for half of the variance in DGRT in elite and non-elite players. In Figure 1, the relationship between the national ranking and DGRT is depicted for both the elite and non-elite groups. No significant correlation was revealed between the ranking, BSRT and DGIC. The ranking was significantly negatively correlated with ΒSIC in non-elite players, but not in elite players.
Spearman’s rho correlation coefficient for ranking vs. all test variables for the elite and non-elite separatelyElite Non-Elite ϱ R2 (%) ϱ R2 (%) Reaction time Domain-general n= 13 n = 9 DGRT (ms) 0.70 50 0.70 49 Badminton-specific n= 10 n = 7 Go BSRT (ms) 0.32 10 -0.07 1 Go forehand BSRT (ms) 0.27 7 -0.25 6 Go backhand BSRT (ms) 0.27 7 -0.57 33 Go-stop BSRT (ms) 0.48 23 -0.21 5 Go-stop forehand BSRT (ms) 0.58 33 -0.21 5 Go-stop backhand BSRT (ms) 0.38 15 -0.25 6 Inhibitory control Domain-general n= 13 n = 9 DGIC (ms) -0.27 7 <0.01 <1 Badminton-specific n= 10 n = 7 BSIC (ms) 0.58 33 -0.89 80
Ranking vs. DGRT for elite and non-elite players
Ranking vs. DGRT for elite and non-elite players
This study evaluated the reproducibility and validity of the newly developed Badminton Reaction Inhibition Test (BRIT) for the assessment of domain-general and badminton-specific reaction time as well as inhibitory control in elite and non-elite badminton players. Acceptable reproducibility outcomes for badminton-specific reaction time and badminton-specific inhibitory control were presented. Good construct validity was shown for badminton-specific reaction time as it discriminated between elite and non-elite players. No differences between elite players and non-elite players were found in domain-general reaction time or in both components of inhibitory control. Concurrent validity for domain-general reaction time was good, as it was associated with the national ranking for both elite and non-elite players. No relationship was found between the national ranking and badminton-specific reaction time or both components of inhibitory control.
The domain-general stop signal task was used for the assessment of domain-general cognitive performance (Logan and Cowan, 1984). The difference between the elite and non-elite group in domain-general reaction time of 10 ms was not statistically significant. However, in elite badminton match play average shuttle velocity lies around 19 m/s (Phomsoupha and Laffaye, 2014, 2015), meaning that the shuttle travels 19 cm in 10 ms. This could make the difference between a perfect or a poor return of the shuttle. A significant relationship between domain-general reaction time and the national ranking was revealed, which indicates the need of a fast reaction time for elite performance. This finding does underscore the validity of the domain-general stop signal task for the assessment of domain-general reaction time in badminton players.
The BRIT was assumed to be valid for the assessment of badminton-specific reaction time as elite players were found to outscore non-elite players. However, this was only true for measures of badminton-specific (backhand) reaction time, but not for badminton-specific forehand reaction time. The difference between the assessment of badminton-specific backhand and forehand reaction time was the direction in which the player had to move to deactivate the outer light. In addition, players had to cover extra distance during the assessment of backhand reaction time as the outer light was positioned further away from the preferred hand than during the assessment of forehand reaction time. These findings question the validity of the badminton-specific component of the BRIT as a measure of solely reaction time and suggest that the test results are partly determined by movement ability, especially to the backhand side. Importance of movement ability in elite badminton is supported by research of Madsen et al. (2015) who showed that elite badminton players outscored sub-elite players in a badminton-specific movement speed test. Since both reaction time and movement ability seem important for elite badminton performance, the assessment of badminton-specific reaction time of the BRIT can still be called a valid measure as it discriminates between elite and non-elite players with regard to characteristics important for badminton match play.
Reproducibility of the domain-general stop signal task used for the assessment of domain-general inhibitory control had been already confirmed (Congdon et al., 2012; Williams et al., 1999). The current study presented poor to fair relative reliability for the assessment of badminton-specific inhibitory control by means of the badminton-specific stop signal task. However, relative reliability is strongly dependent on sample size and as the current study included only five test-retest measures, future research including a larger sample size is needed to provide an accurate view on the relative reliability of the badminton-specific stop signal task (Weir, 2005). Measures of agreement showed a reasonable coefficient of variation of 13% for the assessment of badminton-specific inhibitory control. This is in agreement with the coefficient of variation ranging from 3 to 19% presented in reproducibility studies on the assessment of perceptuo-motor skills (Faber et al., 2014, 2015).
No differences between elite and non-elite players were revealed in domain-general and badminton-specific inhibitory control. A possible explanation is that the BRIT was not able to detect existing differences. Another explanation for the finding that elite and non-elite players did not significantly differ in inhibitory control could be that the participant group was too homogeneous. The current study included elite Dutch badminton players. It can be doubted whether the included participants really reflected badminton elite performance as the players had a ranking higher than 1000 on the Badminton World Federation Men’s Singles Ranking. To achieve elite performance in badminton, one must excel in different dimensions (Elferink-Gemser et al., 2011). Perhaps in the current study the elite players outscored the non-elite on tactical or physical measures, but not on cognitive performance. However, at badminton’s world elite level a player must excel in multiple domains and compensation of a less developed domain seems not possible. Therefore, future research is recommended to include world class elite players to give an accurate evaluation of the need of inhibitory control in badminton elite performance.
The BRIT gives a valid indication of reaction time and could be used by coaches and players for monitoring training progress and players’ development, it may also provide input for training programs aiming to improve players’ badminton performance. Furthermore, it can be applied to address questions whether a highly developed reaction time is innate, causing that the players with better innate reaction abilities have a higher chance to achieve elite badminton performance, or whether elite players have a faster reaction time due to their badminton experience, which means that a faster reaction time can be developed by training and match play. A review of Smith et al. (2010) who examined the effects of aerobic exercise on neurocognitive performance in healthy adults presented a faster reaction time in subjects that had followed aerobic interventions of more than one month duration. Although this provides evidence for trainability of reaction time, literature on the topic is still scarce. Future research should monitor the development of reaction time in talented badminton players longitudinally to find out if the development of reaction time of the players who finally achieve elite performance differs from that of non-elite players. Insight into the development of reaction time could help coaches in the process of talent identification and development by designing specific training programs.
The present study has several limitations. One of them is the small number of participants in the reproducibility part of the study. Future research including a larger sample size and world elite players should be conducted to get a better view on the reproducibility and validity for the assessment of inhibitory control. Furthermore, the validity and reproducibility of the BRIT were only assessed in a population of adults. It is recommended to perform a similar study in children of different age and performance levels to examine the value of the BRIT for monitoring badminton performance in different age groups.
The current study focused on the evaluation of the reproducibility and validity of a newly developed test for the assessment of domain-general and badminton-specific reaction time as well as inhibitory control in badminton players. In conclusion, reproducibility and validity of inhibitory control assessment were not confirmed, however, the BRIT appears a reproducible and valid measure of reaction time in badminton players. Reaction time measured with the BRIT may provide input for training programs aiming to improve badminton players’ performance.
Spearman’s rho correlation coefficient for ranking vs. all test variables for the elite and non-elite separately
| Elite | Non-Elite | |||
|---|---|---|---|---|
| ϱ | R2 (%) | ϱ | R2 (%) | |
| Reaction time | ||||
| Domain-general | n= 13 | n = 9 | ||
| DGRT (ms) | 0.70 | 50 | 0.70 | 49 |
| Badminton-specific | n= 10 | n = 7 | ||
| Go BSRT (ms) | 0.32 | 10 | -0.07 | 1 |
| Go forehand BSRT (ms) | 0.27 | 7 | -0.25 | 6 |
| Go backhand BSRT (ms) | 0.27 | 7 | -0.57 | 33 |
| Go-stop BSRT (ms) | 0.48 | 23 | -0.21 | 5 |
| Go-stop forehand BSRT (ms) | 0.58 | 33 | -0.21 | 5 |
| Go-stop backhand BSRT (ms) | 0.38 | 15 | -0.25 | 6 |
| Inhibitory control | ||||
| Domain-general | n= 13 | n = 9 | ||
| DGIC (ms) | -0.27 | 7 | <0.01 | <1 |
| Badminton-specific | n= 10 | n = 7 | ||
| BSIC (ms) | 0.58 | 33 | -0.89 | 80 |
Characteristics of the elite and non-elite badminton players (mean ± SD)
| N | Elite | N | Non-elite | t | df | ||
|---|---|---|---|---|---|---|---|
| Age (years) | 15 | 25 ±4 | 9 | 24 ±4 | 0.643 | 22 | 0.527 |
| Body Height (cm) | 9 | 190 ±8 | 8 | 185 ±3 | 2.013 | 11 | 0.069 |
| Badminton training (h/wk) | 11 | 7±3 | 7 | 2±1 | 5.656 | 11 | <0.001 |
| Starting age (years) | 11 | 8±2 | 7 | 11±4 | -1.912 | 16 | 0.074 |
| Ranking | 15 | 39 ±24 | 9 | 2753 ±1586 | U< | Z = -4.50 | <0.001 |
| Median = 35 | Median = 3184 | 0.001 |
Results on the BRIT for the elite and non-elite badminton players (mean ± SD) and analysis of variance results for comparisons of means between groups
| ANOVA | |||||
|---|---|---|---|---|---|
| Elite | Non-elite | F(df) | d | ||
| Reaction time | |||||
| Domain-general | n= 13 | n = 9 | |||
| DGRT (ms) | 336 ± 41 | 346 ± 56 | 0.239 (1,20) | 0.630 | 0.21 |
| Badminton-specific | n = 10 | n = 7 | |||
| Go BSRT (ms) | 433 ± 93 | 538 ± 64 | 6.650 (1,15) | 0.021 | 1.27 |
| Go forehand BSRT (ms) | 427 ±107 | 487 ± 71 | 1.674 (1,15) | 0.215 | 0.64 |
| Go backhand BSRT (ms) | 438 ±100 | 544 ± 65 | 6.082 (1,15) | 0.026 | 1.22 |
| Go-stop BSRT (ms) | 455 ± 92 | 513 ± 80 | 1.811 (1,15) | 0.198 | 0.66 |
| Go-stop forehand BSRT (ms) | 451 ± 94 | 482 ± 95 | 0.465 (1,15) | 0.506 | 0.34 |
| Go-stop backhand BSRT (ms) | 460 ± 94 | 543 ± 70 | 3.955 (1,15) | 0.065 | 0.98 |
| Inhibitory control | |||||
| Domain-general | n = 13 | n = 9 | |||
| DGIC (ms) | 207 ± 28 | 209 ± 17 | -0.205 (1,20) | 0.840 | 0.09 |
| Badminton-specific | n = 10 | n = 7 | |||
| BSIC (ms) | 235 ± 83 | 234 ± 75 | 0.001 (1,15) | 0.981 | -0.01 |
Relationship among the Change of Direction Ability, Sprinting, Jumping Performance, Aerobic Power and Anaerobic Speed Reserve: A Cross-Sectional Study in Elite 3x3 Basketball Players Construct Validity and Applicability of a Team-Sport-Specific Change of Direction Test Change of Direction Deficit: A Promising Method to Measure a Change of Direction Ability in Adolescent Basketball Players Effects of Arm Dominance and Decision Demands on Change of Direction Performance in Handball Players Effectiveness and Kinematic Analysis of Initial Step Patterns for Multidirectional Acceleration in Team and Racquet Sports Change of Direction Ability as a Sensitive Marker of Adaptation to Different Training Configurations, and Different Populations: Results from Four Experiments Lower Limb Skeletal Robustness Determines the Change of Directional Speed Performance in Youth Ice Hockey Reactive Agility in Competitive Young Volleyball Players: A Gender Comparison of Perceptual-Cognitive and Motor Determinants The Relationship among Acceleration, Deceleration and Changes of Direction in Repeated Small Sided Games Change of Direction Performance and its Physical Determinants Among Young Basketball Male Players Training to Improve Pro-Agility Performance: A Systematic Review Relationships between Sprint, Acceleration, and Deceleration Metrics with Training Load in Division I Collegiate Women’s Soccer Players