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Agility and change of direction speed are independent skills: Implications for agility in invasion sports

Agility and Change-of-Direction Speed are
Independent Skills: Implications for Agility in
Invasion Sports
Warren Young, Brian Dawson and Greg Henry
Reprinted from
International Journal of
Sports Science
& Coaching
Volume 10 · Number 1 · 2015
International Journal of Sports Science & Coaching Volume 10 · Number 1 · 2015 159
Agility and Change-of-Direction Speed are
Independent Skills: Implications for Training
for Agility in Invasion Sports
Warren B. Young1, Brian Dawson2and Greg J. Henry2
1School of Health Sciences, Federation University Australia, Australia
2School of Sport Science, Exercise and Health,
University of Western Australia, Australia.
This review explores the differences between agility in invasion sports
(defined as including reactive decision-making) and change-of-direction
speed (CODS), and highlights the implications for training. Correlations
between agility tests and CODS tests indicate that they represent
independent skills. Agility tests discriminate higher- from lower-standard
athletes better than CODS tests, indicating that the cognitive element of
agility is important to performance. Training studies have shown that the
development of strength qualities can transfer to gains in CODS, but this
has never been shown for agility. There is some evidence that the
importance of physical qualities is greater for CODS than for agility. It was
concluded that the reactive element should be included in agility training,
testing and research. While there appears to be no research evidence for
the benefits of strength and power training, there is some support for the
use of small-sided games for improving agility.
Key words: Agility Tests, Decision Making, Perceptions, Reactive
Strength, Small-Sided Games, Sprint Training
Agility is important for combat sports such as boxing, court sports such as tennis and team
sports such as volleyball or baseball. However this review will be limited to a category of
sports described as “invasion” or “territorial” sports, which have common characteristics.
These sports involve opposing teams attempting to invade their opponent’s territory to
enhance scoring opportunities [1]. Gaining and maintaining possession of the ball is crucial
for attack, and defending is important to prevent the opposition from scoring [1]. Invasion
sports include all football codes, basketball, netball, European handball, lacrosse and field-
hockey. Although sports played in an aquatic environment such as water polo or sports
played on ice such as ice-hockey are also examples of invasion sports, only agility relating
Reviewers: Lee Brown (California State University, Fullerton, USA)
Tim Gabbett (Australian Catholic University, Australia)
to land-based sports involving locomotion by walking or running will be discussed in this
review. In invasion sports, agility skill is beneficial to attackers to evade their opponent’s
pressure or tackles, and for defenders to reduce space on the field or court to limit attacking
movements, or potentially achieve a turnover.
Unfortunately there is no universally accepted definition of agility [2]. While earlier
definitions referred exclusively to a change-of-direction element [3, 4], agility has more
recently been defined as “a rapid whole-body movement with change of velocity or direction
in response to a stimulus” [2], and this definition has been adopted by several authors [5-8].
A change of direction task that is pre-planned has been described as “change-of-direction”
speed [2], and this phrase has become increasingly common to distinguish this closed skill
from agility involving a reaction [9-12]. Apart from the change of direction, it is important
to acknowledge two other elements in the above agility definition. First, “change in velocity”
indicates that an agility game-scenario could include deceleration only, where an attacking
player decides to suddenly reduce speed to create space between him or herself and the
opponent. The second important element of this definition is that a change in velocity or
direction is in response to an external stimulus provided by an opponent’s actions. This
recognises that players do not randomly change velocity or direction; rather they typically do
so in response to external stimuli to either evade a defender or place pressure on an attacker.
There are also situations in many sports where players need to change velocity or direction
to get into the desired position on the field or court, but if they are not performed at
maximum effort, they are not usually considered as agility manoeuvres [13]. Therefore, the
stimulus to change velocity or direction is typically the actions of opponents. However, one
rather unique invasion-sport example where a change-of-direction movement is pre-planned
rather than a response to a stimulus is in American football, where an eligible receiver sprints
forward and attempts to cut laterally after a pre-determined distance. There are many
situations in invasion sports that involve set-plays, such as a free kick just outside the penalty
box in soccer. In these cases, the pre-planned team strategy may be to advance the ball to a
particular location, but typically the player in possession of the ball is still required to
perform unpredictable evasive agility manoeuvres in response to a defender’s actions. For
example, if a basketball attacker notices that a defender is moving to the left to block forward
progression, the player with the ball might cut to the right. Similarly, a defender will watch
the attacker’s movements carefully in order to quickly react to any evasive action.
In 2002, a model was published [14] indicating that agility was comprised of two main
components; perceptual and decision-making factors and change-of-direction speed
(CODS). CODS was in-turn determined by technical factors such as stride adjustments,
physical elements such as straight sprinting speed and leg muscle qualities, which include
strength, power and reactive strength. CODS activities are closed skills that involve pre-
planned movements. An example of a CODS activity in sport is base-running in baseball or
softball, where the batter runs a pre-determined distance before changing direction at an
angle governed by the diamond. It is important to recognise that apart from the American
football example mentioned above, CODS is very rare in invasion sports [5]. For the
purposes of this review, the term “agility” will always refer to changes of velocity or
direction in response to a stimulus provided by an opposition player’s actions. The phrase
“reactive agility” has previously been used in the literature [11,15-17] to acknowledge that
agility is reactive in nature, but this will not be used here because, according to the definition
of agility, the word “reactive” is redundant. The purpose of this review is to explore the
factors that determine CODS and agility in invasion sports and provide practical applications
for training and testing athletes to improve sports performance. While the review will
160 Agility and Change-of-Direction Speed in Invasion Sports
provide insights into the role of strength and power training as well as cognitive factors for
CODS and agility, it is beyond the scope of the review to discuss the technical factors
relating to agility.
The different definitions for CODS and agility are not just semantic, as there is evidence to
support the distinction. There is limited research that has used tests of agility in invasion
sports, and even less that has compared both agility and CODS tests with the same athletes.
To the authors knowledge, there are only five studies that have assessed athletes with an
agility test as well as a comparable planned CODS test involving the same movement pattern
[6,15,16,18,19]. Two of the studies were conducted with male Australian Rules footballers
[15,16], one with rugby league [19], one with basketball [6] and one with female netballers
[18]. To provide the necessary stimulus when assessing agility, three of these studies used a
video-based display of an attacker [15, 18, 19] and the others used a live tester who
performed side-steps as if evading a defender [6,16]. In all of these studies, the correlation
between the agility and CODS test yielded Pearson coefficient’s of r=0.68 [15], r=0.321 [16],
r=0.434 [6], r=0.70 [18], and a Spearman correlation of -0.08 [19]. The common variance (r2
x 100) from the first four studies varied from 10-49% (mean=29%), and since this value is
clearly below 50%, indicates that agility and CODS are independent skills [20]. In agreement
with this conclusion, the Spearman’s correlation was very low [19]. Therefore, since the
main difference between the agility and CODS tests in these studies was the cognitive
component involving a reaction to an “opponent”, this appears to dramatically change the
character of the agility tests, a concept that will be discussed in more detail later.
Having established that agility and CODS are specific skills, the critical question that
follows is which of these skills is more important for performance? This issue can be
addressed by comparing higher- and lower-standard groups of athletes. If a superior-skilled
group is better on a particular test, the quality assessed by that test can be said to be important
for performance in the sport [21]. Conversely, if a higher-level group is not better on a test,
the quality assessed by that test would appear to have little relevance to superior sports
performance. Using such a research-design, several studies have shown the higher-skilled
group to be superior (p<0.05) in an agility test but not (p>0.05) in a CODS test in Australian
football [15, 16, 22] and rugby league [11, 19]. These results clearly indicate that agility is
more related to performance in these invasion sports than CODS tests, and provides evidence
for the importance of the perceptual and decision-making element of agility.
Whether attacking or defending, agility skill requires the ability to perceive relevant
information about opponent’s movements and react quickly and accurately. Some agility
tests have been able to isolate the decision-making time from the total agility action. This is
typically done by using high-speed video to determine the time from the stimulus (attacker’s
initial change of direction movement) to the tested athlete’s first response [6, 11, 15, 17, 18,
19, 23]. In one study [17], the decision time only represented 3.6% of the total agility time,
but the correlation between decision time and total agility time was r=0.77. The correlation
coefficient between the responding movement time and total agility time was r=0.59,
indicating that the decision-making time was even more influential to agility performance
than the movement that followed. More recently, Scanlon et al. [6] reported that decision
time was significantly correlated (r=0.577, p<0.05) with an agility test in basketball players,
International Journal of Sports Science & Coaching Volume 10 · Number 1 · 2015 161
and concluded that cognitive qualities are important to develop agility in basketball.
Some studies that have reported decision-making time have also compared a higher- and
lower-standard group of athletes. The higher-standard group was typically found to produce
faster decisions (p<0.05) than the lower-standard group in netball [18] and rugby league [24,
25], although the difference between the groups is not always statistically significant [11,15].
One study measured decision-making time only by requiring participants to react to video
footage of an attacker changing direction by pressing a switch in the hand to indicate as
quickly and accurately as possible whether the movement was to the left or right [26]. It was
found that professional Australian Rules football players were slightly faster (p>0.05, effect
size=0.26) than elite junior players, but were significantly more accurate (p=0.034, effect
size=0.60) in their decisions, indicating better overall decision-making skill. Further, it has
been found that higher-standard players are less susceptible to deceptive actions of attackers,
such as a fake pass in rugby union [27] and a fake side-step in Australian football [28].
A study with rugby league [29] required a group of sub-elite players to perform six
sessions of agility training by viewing and reacting to 10 video-clips of an attacker changing
direction in each session. After the brief training period, the training group reduced their
decision time from 340 to 40 ms (p<0.05), whereas a control group from the same squad
showed no meaningful change (p>0.05). In addition, a recent study on elite junior Australian
football players [8] showed that decision-making time in an agility test improved by 31%
(p<0.001) following 11 sessions of small-sided games designed to overload agility skill.
Accordingly, these studies indicate that cognitive skill relating to agility is highly trainable,
even in experienced athletes.
Research on cognitive skill in soccer has focussed on the defender observing video-
footage of an attacker dribbling, or a goalkeeper reacting to a penalty kick. For example,
Williams and Davids [30] compared elite and recreational soccer players and found the more
skilled players were faster and more accurate (p<0.05) in anticipating the pass direction in a
one-on-one situation. Based on eye-tracking analysis, the better players were shown to fixate
longer on the hip region of the attacker, indicating that this provided an important cue about
the pass direction. A later study [31] showed that elite junior soccer players were 6% more
accurate (p>0.05) in anticipating pass direction than a sub-elite group in a one-on-one
scenario, but 12% more accurate (p<0.05) in a 11 v 11 situation, indicating the anticipatory
skill was more pronounced in the elite players when the task was complex with more
possible passing options. Furthermore, studies of goalkeepers viewing a penalty shot have
shown that more experienced or higher-standard players are superior to lower-standard
players in predicting the correct direction of the kick [32-34]. Results from one of these
studies showed that the more successful goalkeepers employed a different visual search
strategy [33], indicating that the ability to extract and interpret relevant visual information is
important for fast and accurate responses.
The above soccer research shows that better performers can identify important postural
cues which serve as the visual stimulus to make their decisions about opponent’s actions. It
has also been shown that elite soccer players were not superior (p>0.05) to inexperienced
players in a reaction time test using a flashing circle as a stimulus [30]. This finding
highlights the point that the cognitive skill required to react quickly and accurately is based
on a sport-specific stimulus rather than a generic one. This conclusion is supported by two
studies indicating that while higher-standard Australian football players were better (p<0.05)
than their lower-standard counterparts when reacting to a video-display of an attacker
changing direction, they were not better (p>0.05) reacting to a generic stimulus of a flashing
arrow [22] or light [15].
162 Agility and Change-of-Direction Speed in Invasion Sports
Determining the relative importance of a trainable quality to either CODS or agility is
necessary for a coach to know how much training time and effort to devote to development
of that quality. The following section will discuss the importance of strength qualities and
sprinting speed for the development of CODS and agility. There is a plethora of research that
has reported the correlations between physical qualities and CODS [9,10,14,35,36], and
while a strong relationship between two qualities indicates they possess common
characteristics, it does not prove a cause-and-effect relationship. Ultimately, the issue that
coaches are interested in is the effectiveness of a particular training approach for enhancing
performance, and therefore more convincing evidence comes from training studies, which
will be discussed below.
When evaluating the evidence relating to the importance of physical factors for CODS, a
major difficulty is the huge variety of CODS tests used to assess this quality. This is expected
because different invasion sports require a range of movement patterns and footwork. For
example, some sports involve lateral shuffling such as basketball, while other sports such as
rugby union or league commonly require side-stepping or cutting movements. One element
that is common to all of these tests is that the athlete is required to complete a pre-planned
course defined by obstacles such as cones in the shortest possible time, usually assessed with
an electronic timing system.
CODS tests also vary greatly due to differences in the angle of directional change and the
number of changes of direction, which may be as little as one [16] to as many as eleven [37].
One study that compared six different CODS tests used for assessing soccer players reported
low to moderate inter-correlations ranging from -0.028 to 0.554, indicating a common
variance of no more than 31% [38]. The authors concluded that the CODS tests were all
specific due to their complexity and the different agility movement patterns. Therefore, there
is no “gold-standard” generic CODS test that can be used for all invasion sports.
A study involving eight weeks of jump squat training with a heavy load (80% 1 repetition
maximum - RM) produced a 10.2 % gain in 1RM squat strength (p<0.05), and this was
accompanied by a 2.4% (p<0.05) improvement in T-test CODS [39]. In contrast, when three
sets of three repetitions of heavy squats with 90 % 1 RM were performed five times per week
for 3 weeks in addition to CODS training by professional soccer players, no benefits in a
CODS test were realized [40]. The authors concluded that the added strength training did not
offer a greater advantage over change-of-direction and coordination training. One
explanation for the lack of benefit to CODS in this study could be the short three-week
training period, which may have resulted in modest strength gains (not reported). A recent
study [41] investigated the effects of two years of strength training with parallel squats in
addition to normal soccer training in elite-junior soccer players. The supplementary strength
training produced large gains in leg strength and this transferred to significant (p<0.05)
improvements in a CODS test. However, two years of strength training in developing athletes
is likely to result in meaningful gains in any physical quality utilising the leg muscles [42],
and therefore the relevance of general strength training for enhancing CODS remains
International Journal of Sports Science & Coaching Volume 10 · Number 1 · 2015 163
Jump squat training for eight weeks with an additional load of 30% of 1 RM has been found
to produce a 10% greater peak power (p<0.05) in a jump squat with that load [39] and a 1.7%
improvement (p<0.05) in the T-test of CODS, indicating that power development can
transfer to enhanced CODS. When a drop jump (DJ) is performed with the intention of
maximising rebound height and minimising ground contact time, it imposes high eccentric
loads and can be described as a test of reactive strength [43]. Since the correlation between
this type of DJ and a countermovement jump (CMJ) was only r=0.37, representing only 14%
common variance [44], reactive strength is considered an independent form of power [43].
Reactive strength may be expected to correlate highly with CODS because changing
direction (such as during a side-step) involves a relatively small knee flexion with a short
ground contact time, and high eccentric loads during the leg extensor muscle stretch-
shortening cycle [14]. This idea was supported by an investigation that showed that pure
concentric leg power produced relatively low correlations with CODS, but a DJ test of
reactive strength correlated more highly [14]. Since plyometric exercise can specifically
target reactive strength, it is useful to determine the potential benefits of training with this
exercise modality on CODS.
Two studies [45,46] have demonstrated that 6 weeks of plyometric training was effective
for improving CODS. For example, training with the drop jump exercise induced significant
improvements (p<0.05) in the 505 CODS test [46], and a range of multi-directional
plyometric exercises produced improvements (p<0.05) in both the T-test and Illinois CODS
tests [45]. Another study [37] required a group of 12 physical education students to perform
a training program combining half squats (4 sets of 6 repetitions) with bilateral and unilateral
plyometric exercises for eight weeks. In contrast to the previous two studies, while the
training induced a significant gain (p<0.05) in both strength (1 RM squat) and power (CMJ),
no significant improvement (p>0.05) in a CODS test involving three sharp changes of
direction was observed. It was concluded that the CODS task was relatively complex, and
may have been more influenced by motor control factors than strength qualities.
Although there is a large body of work correlating straight sprint performance over various
distances with CODS, there are few training studies relating to the possible benefits of
straight sprint training to CODS or agility. In one of those, when linear sprint training was
performed over six weeks, significant mean improvements in sprint time (p<0.05) of 2.9%
were reported [47]. This was accompanied by an improvement of 2.3% (p<0.05) in a test that
involved two slight changes of direction. However, when the COD tests became more
complex by increasing the angle and number of changes of direction, the transfer was
diminished. Indeed, in the most complex test involving five relatively sharp changes of
direction, the straight speed gains had no transfer at all [47]. These findings indicate that the
benefit of straight sprinting speed to CODS decreases as the CODS task becomes more
complex. Therefore, since CODS activities involve decelerations, re-accelerations and
constant adjustments of steps and body posture, the potential to improve CODS speed by
linear sprint training is limited [47].
The above discussion is based on considerable research using various CODS tests to measure
performance. Unfortunately, evidence for the importance of physical qualities for agility
development is extremely rare, with some correlational research [6,11,16]. These studies
164 Agility and Change-of-Direction Speed in Invasion Sports
reported correlations between sprint tests with both COD and agility tests, and are shown in
Table 1. These data indicate that while sprint speed and CODS can share some common
characteristics (19-55% common variance), the shared variance drops considerably for
agility (11-17%). This is likely explained by the inclusion of the cognitive component of
agility, which has been found to possess 59% common variance with agility performance
[17]. The relatively low correlations between speed and agility suggest sprint training would
be unlikely to transfer well to agility performance. Unfortunately, there is minimal research
indicating the relationships between strength, power and reactive strength to agility. One
study [48] correlated vertical, forward and lateral jump tests with an agility task requiring
Australian football players to pursue a video-projected attacker from a rear view. The
negative correlations ranged between -0.12 to -0.28 (p>0.05), and the authors suggested that
agility performance was more likely to be influenced by cognitive rather than strength
factors. Likewise, there is no research evidence for the specific effects of training sprint,
strength, power and reactive strength on agility performance.
Table 1. Correlations between 10 m sprint performance with CODS and
agility. the common variance (r2x 100) is in brackets
Authors CODS Agility
Gabbett et al [11] “505” test 0.57 (32) 0.41 (17)
“L Run” test 0.64 (41)
Sheppard et al [16] 0.74 (55) 0.33 (11)
Scanlon et al [6] 0.439 (19) 0.406 (16)
Small-sided games (SSG) have become a popular training method for invasion sports because
they have the potential to develop multiple fitness components together with sport-specific
skills and tactics [49]. Two studies have specifically examined the value of SSG in improving
CODS and agility performance. One of these compared six weeks of training with either CODS
drills or soccer SSG in untrained men and women [50]. The CODS training was effective
(5.9%) for improving performance on the CODS T-test, whereas the SSG had little effect
(2.1%, p>0.05). Another recent study on elite junior Australian football players also compared
CODS training with SSG designed to overload agility skill [8]. However, this study also
assessed players on both a CODS test (“Planned Australian Football League agility test”) and
a video-based agility test, which was previously validated for Australian football [22]. After 11
sessions of training over a seven-week period, the CODS group experienced no significant
changes (p>0.05) in either CODS or agility. The SSG group also achieved a trivial change in
CODS (p>0.05), but agility performance improved by approximately 4% (P=0.008). This gain
was accompanied by a 31% improvement (p<0.001) in the time taken to react to the attacker’s
change of direction movement (decision time), and a 1% change (p>0.05) in movement time.
Therefore, these results indicate that SSG designed to encourage agility skill may provide a
powerful agility training stimulus due to improvements in decision-making speed.
A case study of four rugby union players [51] involved testing agility before and after 18
training sessions which included SSG and other reactive drills. Each player demonstrated
some improvement in agility performance, with a mean gain of 3%. Although other forms of
training were performed such as speed and strength training which may have influenced
agility performance, the authors recommended the use of open-skill training modalities such
as SSG and reactive drills.
International Journal of Sports Science & Coaching Volume 10 · Number 1 · 2015 165
Invasion sports require offensive and defensive agility, but rarely CODS. Agility and CODS
are different tasks due to the unpredictability and cognitive elements of agility, which are
absent in CODS tasks. Evidence exists that agility tests are better able to discriminate higher-
standard from lower-standard athletes than CODS tests, and therefore training and
assessment of athletes should focus on agility. However, the majority of past research that
has recommended physical training and testing, has been restricted to CODS tasks, and
therefore may have limited application to agility in invasion sports. Accordingly, coaches and
sport scientists are advised to develop training programs and tests that target the multi-
dimensional nature of agility as required in sport, which includes a reactive element. In
relation to testing, the challenge is to develop reliable tests that use sport-specific agility
scenarios that capture the complexity of movement and decision-making aspects of on-field
agility. This requires the inclusion of a ball or other sport-specific equipment, a variety of
views (not just front-on), multiple players, different movements and some deceptive actions.
Current agility tests have been restricted to the defensive role, and it is not known whether
offensive agility is unique.
In relation to training, there is evidence that a carefully designed strength and
conditioning program can enhance CODS, but there is no evidence that such programs are
also beneficial for agility. Plyometric training using multi-directional exercises can
potentially be specific to the change-of-direction movements used in agility tasks, but it is
still not known whether it transfers to agility performance. It is possible that the importance
of training various strength qualities for agility is diminished due to the relative importance
of the cognitive component of agility. Accordingly, it could be speculated that athletes are
not able to express their athleticism on the field or court because the decision-making
requirement of agility dominates, but this needs to be examined further.
There is good evidence that the perceptual and decision-making element is important to
agility performance and as such, training should be prescribed to include this component.
One option is to use one-on-one activities where one player is designated an attacker, and the
other player takes on the defensive role. The attacker should be encouraged to use evasive
skill (sometimes including deception), while the defender should try to pick up cues from the
attacker’s movements to react as quickly and accurately as possible. Another training method
that has some research support [8] is the use of sport-specific SSG, and coaches are
encouraged to be creative with game design (e.g., field dimensions, rules, number of players)
to maximise agility-skill demands. If the games can duplicate the skills of competition and
also overload agility, change-of-direction technique and cognitive demands should be
enhanced. Since the perceptual and decision-making component of agility is highly trainable
[8,29], another option is to perform video-based cognitive training involving decision-
making alone, without the subsequent sprint. Such a program has been shown to be effective
for developing anticipation skill in softball fielders [52]. A potential advantage of this is the
possibility of enhancing agility without applying a physical load, which could be especially
valuable for injured players who are not able to participate in intense physical activity.
Based on the discussion above, a new model of agility of invasion sports is proposed
(Figure 1). This is intended to show the main factors that contribute to agility performance.
A significant difference between this model and a previously reported model [14] is that the
proposed version excludes CODS, which is not a component of agility, but a different skill.
It is important to acknowledge that the relative importance or contribution to performance
from these factors is variable, with some exerting a large influence (e.g., cognitive factors),
some having a minor influence (e.g., straight speed), and many others exerting an unknown
166 Agility and Change-of-Direction Speed in Invasion Sports
influence. Therefore, to prescribe a holistic training program for the development of agility,
the coach can use the model to check that all the contributing elements are targeted.
However, future research is needed to provide evidence to coaches about the most important
factors and the training methods that are most effective for enhancing agility performance.
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International Journal of Sports Science & Coaching Volume 10 · Number 1 · 2015 169
... However, further research clearly identifies added complexities for determining and measuring agility within larger complex game situations, indicating that agility has relationships with many trainable physical qualities such as technique, strength and power, as well as cognitive components such as visual-scanning, cognitive components and anticipation ( Figure 2) (Lloyd, 2015;Lundvall, 2015;Young, 2015). Under each of these qualities, are further important elements that are fundamental to improving children's PL, being associated with strength, speed, power, body positioning/coordination and recognition of decision-making accuracy. ...
... It reflects ongoing changes integrating physical, psychological, cognitive and social capabilities. It is vital in helping us lead healthy and fulfilling lives through movement and physical activity Figure 2. Model of main factors that determine agility in invasion sports (Young, 2015). ...
... There is also an existing critique, towards making PL an idealistic neutral concept or synonym with fundamental movement skills (agility, balance and coordination) or sports talent identification (Lundvall, 2015;Scanlon, Humphries, Tucker, & Dalbo, 2013). In describing the modern understanding of PL, Whitehead's (2012) categorisation of movement (simple to complex) aligns with Young et al (2015) identified multifaceted nature of agility (and vice versa), whereby combined movement capabilities enable the development of coordination (bilateral, inter-limb and hand-eye), speed (control of acceleration/deceleration), technical (body awareness, turning/twisting), and decision-making qualities (anticipation, knowledge, visual scanning); all of which are inherent properties of agility. ...
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Objective: Given the increasing importance being placed on levels of youths’ physical literacy (PL), physical activity (PA) and sport involvement (SI), it would seem plausible to investigate a common physical activity outcome (PAO) that would go to predict success throughout these domains. The impact of various demographic variables, on physical performance, is of interest. This study hypothesised that levels of agility predict the success in a number of PAOs. Design: A variance (ANOVA), with repeated measures, was conducted to determine if the physical performance responses differed significantly from each other for selected PAO. Setting: Two hundred and thirty-four (234) school-aged students (11–17+ years) had data (quantitative) collected across six PAOs, which were selected based on their inherent connections to domains. Method: Correlation matrices and Structural Equation Modelling (SEM) were further used to examine and diagrammatically represent the significance (p < 0.05—p < 0.000) of associations and relationships (r) between levels of agility and each PAO. Results: Strength of the direct effect identifies that higher levels of agility, being male (r = .208**, p < 0.001) and a light—moderate BMI (r = .223**, p < 0.05), significantly moderates the pathways between all PAOs. The SEM indicated that the approach fits the data set very well (p < .05, Chi Square/DF<3, and other fit values in the .95–1.00 region). Conclusion: Findings suggest that more attention should be directed towards promoting the inherent benefits of improving school-aged students’ agility levels, with an aim to developing reciprocating positive impacts on domains.
... The case of our protocol aimed to examine the player's ability to coordinate his movements in real time compared to changes imposed in traditional test environment. From the background, which concluded that, the reactive element should be included in agility training, testing and research, according to Young, Dawson & Henry, (2015). Supported by János, József & Levente, (2016) in the importance of cognitive factors in reactive agility performance and suggest that specific methods may be required for training and testing reactive agility and change of direction speed. ...
... As much as a real gaming situation to examine the player's ability to coordinate his movements in real time compared to changes in the environment (timing and space). From the background, which concluded that, the reactive element should be incorporated into agility training, testing and research, according to Young, Dawson & Henry, (2015). Our results show significant differences between the proposed situations (A v's B), in the benefit of situation A. Indicating to author the influence of dynamic environment in the credibility of test of agility case situation B. Confirmed by Sheppard et al., (2006) in the inclusion of anticipation and decisionmaking components through response to the movements of a tester. ...
... The speedy movement of the whole body with alteration in the stimulus like when a badminton player hit the shuttlecock is termed agility [2]. A study by Young, Dawson, and Henry, 2013 [3] stated that agility depends on various factors such as leg muscle strength, straight sprint, and running practice indicating that agility needs muscle power for quick movements. Similarly, another study by Okada, Huxel, and Nesser, (2011) [4] described that an athlete should involve in a training exercise that is like the body movement of sports-related motion and movement during competition. ...
... Increased levels of testosterone and developing hormones [15], better intermuscular coordination [2], the maturity of neuromuscular system with better motor units recruitment [28], improvement of anaerobic ability during high intensity exercises [14,24] and also the extra years of training compared to previous ages [24] probably contribute to better CoD performance in older ages. Young et al [30], also, mention that straight line sprinting, leg muscle strength and running technique are identified as factors that may contribute to CoD speed. ...
... Agility has been defined as a rapid whole-body movement with change of velocity or direction in response to a stimulus (Sheppard & Young, 2006). Change-of-direction speed (CODS) ability refers to a movement where no immediate reaction to a stimulus is required, so the direction change is pre-planned and is affected by strength, power, and speed (Sheppard & Young, 2006;Young et al., 2015). In most team sports, such as rugby, soccer, American football, Australian football, European handball, the vast majority of actions require high CODS ability when players attempt to closely mark opponents, evade opposition defenders, and gain positional advantages (Spencer et al., 2004;Spiteri et al., 2013). ...
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This study systematically reviewed and quantified evidence regarding the effectiveness of eccentric overload training (EOT) on change-of-direction speed (CODS) performance. A keyword search was performed in 30 April 2020 in eight electronic bibliographic databases: SPORTDiscus, PubMed, Web of Science, Academic Search Complete, Cochrane Library, Scopus, CINAHL and Google Scholar. A meta-analysis was conducted to estimate the pooled effect size of EOT interventions on CODS performance compared to the control group. Study heterogeneity was assessed by the I ² index. Publication bias was assessed by the Begg’s and Egger’s tests. Eleven studies, including nine randomized controlled trials, one randomized crossover trial, and one non-randomized controlled trial met the eligibility criteria and were included in the review. Time of overall change-of-direction task completion among the EOT group was 1.35 standard deviations (95% confidence interval [CI] = 0.18, 2.52) shorter than that in the control group. In conclusion, EOT was found effective in improving CODS performance compared to the control group. Future studies should adopt a randomized experimental design, recruit large and representative samples from professional team sports, and examine the effect of EOT on various measures of CODS performance among population subgroups.
... One limitation of this study is the closed settings of the zigzag agility test that was used, which may not directly respond to game-related demands of volleyball. A player who changes direction quickly and efficiently is not necessarily effective in the game, for example, in his/her reaction to a ball flying at high speed (Young, 2015). However, as in previous studies, there was no significant difference between selected and unselected players in test results based on planned change-of-direction (Gabbett et al., 2007;Tsoukos et al., 2019). ...
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Previous studies in team sports have not reported evidence regarding the relative age effect (RAE) in relation to the talent identification (TI) process in volleyball, which is organized and controlled by a national federation. Volleyball is a non-contact team sport in which a player’s physique does not directly affect other players in the game but is considered one of the most critical factors in the TI process. The aims of the present study were (1) to determine the differences in the quarterly distribution of age between Polish youth volleyball players from the Olympic Hopes Tournament (OHT) and the general population, (2) to investigate the quarterly differences in anthropometric characteristics and motor test results in OHT participants, and (3) to identify the criteria that determine selection for the National Volleyball Development Program (NVDP). The present study identified the RAE in young male (n = 2,528) and female (n = 2,441) Polish volleyball players between 14 and 15 years of age who competed in the elite OHT in 2004–2015. The study included anthropometric characteristics, motor test results, and selection for the NVDP. The multivariate analysis of covariance demonstrated no significant main effect for birth quarter or calendar age in any of the OHT female players or in male players selected for the NVDP. In the group of non-selected NVDP male players, the analysis demonstrated significant differences by birth quarter as a covariate for body height (F = 0.01, p < 0.001), spike reach (F = 7.33, p < 0.05), and block jump (F = 0.02, p < 0.001). Significant differences by calendar age as a covariate were observed for body mass (F = 0.53, p < 0.01), spike jump (F = 2.64, p < 0.05), block jump (F = 0.4, p < 0.01), and zigzag agility test results (F = 0.01, p < 0.01). The results showed a significant overrepresentation of early-born participants in the OHT and NVDP subsamples. The classification model demonstrated that a combination of four characteristics optimally discriminated between players selected for the NVDP and those who were not selected. This combination of variables correctly classified 77.7% of the female players and 71.8% of the male players in terms of their selection for the NVDP. The results of this study show that jumping ability and body height are crucial in the TI and selection process in youth volleyball.
Background: : Rugby league involves repeated, complex, and high intensity change-of-direction (COD) movements with no existing test protocols that specifically assesses these multiple physical fitness components simultaneously. Thus, the current study examined the convergent validity of a repeated Illinois Agility (RIA) protocol with the repeated T-agility protocol, and the repeatability of the RIA protocol in adolescent Rugby League players. Furthermore, aerobic capacity and anaerobic and COD performance were assessed to determine whether these physical qualities were important contributors to the RIA protocol. Methods: Twenty-two junior Rugby League players completed 4 sessions with each separated by 7 days. Initially, physical fitness characteristics at baseline (i.e., Beep test,, countermovement jump, 30-m sprint, single-effort COD and repeated sprint ability [RSA]) were assessed. The second session involved a familiarisation of RIA and repeated T-agility test (RTT) protocols. During the third and fourth sessions, participants completed the RIA and RTT protocols in a randomised, counterbalanced design to examine the validity and test-retest reliability of these protocols. Results: For convergent validity, significant correlations were identified between RIA and RTT performances (r= >0.80; p<0.05). For contributors to RIA performance, significant correlations were identified between all baseline fitness characteristics and RIA (r = >0.71; p < 0.05). Reliability of the RIA protocol was near perfect with excellent intra-class correlation coefficient (0.87-0.97), good ratio limits of agreement (×/÷ 1.05-1.06) and low coefficient of variations (1.8-2.0%). Conclusions: The current study has demonstrated the RIA to be a simple, valid and reliable field test for RL athletes that can provide coaches with information about their team’s ability to sustain high intensity, multi-directional running efforts.
Background: Rugby league involves repeated, complex, change-of-direction movements, although there are no test protocols that specifically assesses these physical fitness profiles. Thus, the current study examined the convergent validity and reliability of a repeated Illinois Agility (RIA) protocol in adolescent Rugby League players. Methods: Twenty-two junior Rugby League players completed 4 sessions with each separated by 7 days. Initially, physical fitness characteristics at baseline (i.e., multi-stage fitness, countermovement jump, 30-m sprint, single-effort agility and repeated sprint ability [RSA]) were assessed. The second session involved a familiarisation of RIA and repeated T-agility test (RTT) protocols. During the third and fourth sessions, participants completed the RIA and RTT protocols in a randomised, counterbalanced design to examine the validity and test-retest reliability of these protocols. Results: For convergent validity, significant correlations were identified between RIA and RTT performances (r= >0.80; p<0.05). For contributors to RIA performance, significant correlations were identified between all baseline fitness characteristics and RIA (r = >0.71; p < 0.05). Reliability of the RIA protocol was near perfect with excellent intra-class correlation coefficient (0.87-0.97), good ratio limits of agreement (×/÷ 1.05-1.06) and low coefficient of variations (1.77-1.97%). Conclusions: The current study has demonstrated the RIA to be a simple, valid and reliable field test that can provide coaches with information about their athlete’s ability to sustain high intensity, multi-directional running efforts.
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This study examined the relative contribution of visual, perceptual, and cognitive skills to the development of expertise in soccer. Elite and sub-elite players, ranging in age from 9 to 17 years, were assessed using a multidimensional battery of tests. Four aspects of visual function were measured: static and dynamic visual acuity; stereoscopic depth sensitivity; and peripheral awareness. Perceptual and cognitive skills were assessed via the use of situational probabilities, as well as tests of anticipation and memory recall. Stepwise discriminant analyses revealed that the tests of visual function did not consistently discriminate between skill groups at any age. Tests of anticipatory performance and use of situational probabilities were the best in discriminating across skill groups. Memory recall of structured patterns of play was most predictive of age. As early as age 9, elite soccer players demonstrated superior perceptual and cognitive skills when compared to their sub-elite counterparts. Implications for training perceptual and cognitive skill in sport are discussed.
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We investigated the anticipatory skill of rugby league players using a video-based test that encompassed game-specific scenarios (and more than one attacking player). Rugby league players from one of three different skill levels (high-skilled, intermediate-skilled, and low-skilled), and drawn from three different age levels (senior, under 20, and under 16 years) participated in this study. Video images of various rugby league-specific scenarios, presented from the perspective of a particular player, were projected on to a wall. Players were instructed to react to these plays as they would in a game situation. The test was performed under single-task (i.e., anticipation test in isolation) and dual-task (i.e., the anticipation test while also performing a secondary verbal tone recognition task) conditions. No significant dual-task decrements were observed for primary task performance in any of the playing levels or age groups. However, reductions in performance on the secondary tone recognition task were evident in the form of decreased tone response accuracy and increased verbal response times. Greater response accuracy and faster response times were observed with increases in age and playing level, highlighting the centrality of anticipation to skilled performance in rugby league. The differences in anticipatory skill between playing levels and age groups suggest that the accumulation of a high volume of sport-specific experience may facilitate the development of perceptual expertise in rugby league players. (PsycINFO Database Record (c) 2013 APA, all rights reserved)
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The purpose of the study was to determine if six weeks of plyometric training can improve an athlete's agility. Subjects were divided into two groups, a plyometric training and a control group. The plyometric training group performed in a six week plyometric training program and the control group did not perform any plyometric training techniques. All subjects participated in two agility tests: T-test and Illinois Agility Test, and a force plate test for ground reaction times both pre and post testing. Univariate ANCOVAs were conducted to analyze the change scores (post - pre) in the independent variables by group (training or control) with pre scores as covariates. The Univariate ANCOVA revealed a significant group effect F2,26 = 25.42, p=0.0000 for the T-test agility measure. For the Illinois Agility test, a significant group effect F2,26 = 27.24, p = 0.000 was also found. The plyometric training group had quicker posttest times compared to the control group for the agility tests. A significant group effect F2,26 = 7.81, p = 0.002 was found for the Force Plate test. The plyometric training group reduced time on the ground on the posttest compared to the control group. The results of this study show that plyometric training can be an effective training technique to improve an athlete's agility. Key PointsPlyometric training can enhance agility of athletes.6 weeks of plyometric training is sufficient to see agility results.Ground reaction times are decreased with plyometric training.
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Abstract The purpose of this study was to determine the effects of training change-of-direction speed and small-sided games on performance in the Planned-AFL agility test and reactive agility. Twenty-five elite-standard U-18 Australian Rules football players were randomly allocated either to a change-of-direction group or a small-sided games group. Players participated in one or two 15-min sessions per week with 11 sessions conducted over a 7-week period during the season. Tests conducted immediately before and after the training period included the Planned-AFL agility test and a video-based reactive agility test specific to Australian Rules football. The reactive agility test variables were total time, decision time and movement response time. The small-sided games group improved total time (P = 0.008, effect size = 0.93), which was entirely attributable to a very large reduction in decision time (P < 0.001, effect size = 2.32). Small-sided games produced a trivial change in movement response time as well as in the Planned-AFL agility test (P > 0.05). The change-of-direction training produced small to trivial changes in all of the test variables (P > 0.05, effect size = 0-0.2). The results suggest that small-sided games improve agility performance by enhancing the speed of decision-making rather than movement speed. The change-of-direction training was not effective for developing either change-of-direction speed as measured by the Planned-AFL test or reactive agility.
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The requirement profiles of sports such as soccer, football, tennis and rugby demonstrate the importance of strength and speed-strength abilities, in addition to other conditional characteristics. During a game, these athletes complete a large number of strength and speed-strength actions. In addition to the linear sprint, athletes perform sprints while changing direction (COD). Therefore, this study aims to clarify the extent to which there is a strength-training intervention effect on COD. Further, this investigation analyzes possible correlations between the One Repetition Maximum / Body Mass (SREL) in the front and back squat and COD. The subjects (n = 112) were at pretest between 13 and 18 years old and were divided into two groups with four subgroups (A = under 19-years-old, B = under 17-years-old, C = under 15-years-old). For approximately 2 years, one group (CG) only participated in routine soccer training, and the other group (STG) participated in an additional strength-training program with the routine soccer training. Additionally, the performances in COD of 34 professional soccer player of the 1st and 2nd division in Germany were measured as a standard of high-level COD. For the analysis of the performance development within a group and pairwise comparisons between two groups, an analysis of variance with repeated measures was calculated with the factors group and time. Relationships between COD and SREL were calculated for the normal distributed data using a plurality of bivariate correlations by Pearson. Our data show that additional strength training over a period of 2 years significantly affects the performance in COD. The STG in all subcohorts reached significantly (p < 0.05) faster times in COD than CG. The STG amounted up to 5% to nearly 10% better improvements in the 10 meter sprint times compared to the CG. Furthermore, our data show significant (p < 0.05) moderate to high correlations (r = -0.388 to -0.697) between SREL and COD. Our data show that a long-term strength training improve the performance of the COD. Therefore, a long-term resistance training is recommended as early as childhood and adolescence.
Developed by the American College of Sports Medicine, this text offers a comprehensive introduction to the basics of strength training and conditioning based on the latest research findings. ACSM's Foundations of Strength Training and Conditioning is divided into four parts: Foundations, Physiological Responses and Adaptations, Strength Training and Conditioning Program Design, and Assessment. The text focuses on practical applications, enabling students to develop, implement, and assess the results of training programs that are designed to optimize strength, power, and athletic performance. Moreover, the text's clear, straightforward writing style makes it easy to grasp new concepts. © 2012 by American College of Sports Medicine. All rights reserved.
Abstract This study explored the influence of physical and cognitive measures on reactive agility performance in basketball players. Twelve men basketball players performed multiple sprint, Change of Direction Speed Test, and Reactive Agility Test trials. Pearson's correlation analyses were used to determine relationships between the predictor variables (stature, mass, body composition, 5-m, 10-m and 20-m sprint times, peak speed, closed-skill agility time, response time and decision-making time) and reactive agility time (response variable). Simple and stepwise regression analyses determined the individual influence of each predictor variable and the best predictor model for reactive agility time. Morphological (r = -0.45 to 0.19), sprint (r = -0.40 to 0.41) and change-of-direction speed measures (r = 0.43) had small to moderate correlations with reactive agility time. Response time (r = 0.76, P = 0.004) and decision-making time (r = 0.58, P = 0.049) had large to very large relationships with reactive agility time. Response time was identified as the sole predictor variable for reactive agility time in the stepwise model (R (2) = 0.58, P = 0.004). In conclusion, cognitive measures had the greatest influence on reactive agility performance in men basketball players. These findings suggest reaction and decision-making drills should be incorporated in basketball training programmes.
This study compared reactive agility movement time and unilateral (vertical, horizontal and lateral) jump performance and kinetics between dominant and non-dominant legs in Australian rules footballers (n = 31) to investigate the role of leg strength characteristics in reactive agility performance. Jumps involved jumping forward on one leg, then for maximum height or horizontal or lateral distance. Agility and movement time components of reactive agility were assessed using a video-based test. Correlations between each of the jumps were strong (r = -0.62 - -0.77) but between the jumps and agility movement time the relationships were weak (r = -0.25 - -0.33). Dominant leg performance was superior in reactive agility movement time (4.5%; p = 0.04), lateral jump distance (3%; p = 0.008) and lateral reactive strength index (4.4%; p = 0.03) compared to the non-dominant leg. However, when the subjects were divided into faster and slower performers (based on their agility movement times) the movement time was significantly quicker in the faster group (n = 15; 12%; p < 0.001), but no differences in jump performance or kinetics were observed. Therefore, although the capacity for jumps to predict agility performance appears limited, factors involved in producing superior lateral jump performance in the dominant leg may also be associated with advantages in agility performance in that leg. However, since reactive strength as measured by unilateral jumps appears to play a limited role in reactive agility performance and other factors such as skill, balance and coordination, as well as cognitive and decision-making factors, are likely to be more important.