Agility performance in athletes of different sport specializations

Abstract

Background: Data on agility skills in different populations using pre-planned, change of direction speed tests have previously been reported. However, there are no available data on the agility times of athletes specializing in different sports obtained from Reactive agility tests.
Objective: The study compares agility time in groups of athletes of different sports where agility is one of the limiting factors of performance.
Methods: Altogether 282 athletes of 14 sport specializations performed the Agility test. Their task was to touch, as fast as possible, with either the left or the right foot, one of four mats located outside each of the four corners of a 0.8 m square. The mats had to be touched in accordance with the location of a stimulus in one of the corners of a screen. The test consisted of 60 visual stimuli with random generation of their location on the screen and a time of generation of 500 to 2,500 ms. The result was a sum of the 32 best agility times.
Results: The Agility test has been found to be sensitive in distinguishing groups of athletes of different sport specializations. Table tennis players, badminton players, fencers, tae-kwon-do competitors and karate competitors showed the best agility times (< 350 ms), followed by ice-hockey, tennis, soccer, volleyball, basketball, and hockeyball players (350-400 ms), then aikidoists (400-450 ms), and finally judoists and wrestlers (450-500 ms).
Conclusions: The best agility times are in athletes of racquet sports, followed by competitors of combat sports with reactions to visual stimuli, then players of ball sports, and finally competitors of combat sports with reactions to tactile stimuli. Since this is the first study testing agility skills using the Reactive agility test in athletes of different sport specializations, data obtained can be used for comparison of athletes within particular sports.

Full text

Agility performance in athletes of different sport specializations
Erika Zemková* and Dušan Hamar
Faculty of Physical Education and Sports, Comenius University, Bratislava, Slovak Republic
Copyright: © 2014 E. Zemková and D. Hamar. This is an open access article licensed under the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0/).
Background: Data on agility skills in different populations using pre-planned, change of direction speed tests have
previously been reported. However, there are no available data on the agility times of athletes specializing in different
sports obtained from Reactive agility tests. Objective: The study compares agility time in groups of athletes of differ-
ent sports where agility is one of the limiting factors of performance. Methods: Altogether 282 athletes of 14sport
specializations performed the Agility test. Their task was to touch, as fast as possible, with either the left or the right
foot, one of four mats located outside each of the four corners of a 0.8 m square. The mats had to be touched in
accordance with the location of a stimulus in one of the corners of a screen. The test consisted of 60 visual stimuli
with random generation of their location on the screen and a time of generation of 500 to 2,500 ms. The result was
a sum of the 32 best agility times. Results: The Agility test has been found to be sensitive in distinguishing groups of
athletes of different sport specializations. Table tennis players, badminton players, fencers, tae-kwon-do competitors
and karate competitors showed the best agility times (< 350 ms), followed by ice-hockey, tennis, soccer, volleyball,
basketball, and hockeyball players (350–400 ms), then aikidoists (400–450 ms), and finally judoists and wrestlers
(450–500 ms). Conclusions: The best agility times are in athletes of racquet sports, followed by competitors of com-
bat sports with reactions to visual stimuli, then players of ball sports, and finally competitors of combat sports with
reactions to tactile stimuli. Since this is the first study testing agility skills using the Reactive agility test in athletes of
different sport specializations, data obtained can be used for comparison of athletes within particular sports.
Keywords: agility test, agility time, combat sports, sports games
performance. However, many sports (soccer, basket-
ball, tennis, ice hockey, badminton, racquetball/squash,
volleyball, baseball/softball, lacrosse, american foot-
ball, wrestling, boxing, fencing) which are ranked high-
est for agility require changes of direction in response
to a stimulus (e.g., movement of the ball or a player).
Another general feature of field and court sports is that
actions are performed alongside the offensive player’s
movements; thus they involve some sort of competi-
tion. Therefore, testing and training conditions should
mimic these sport-specific demands.
Recently, agility has been defined as a rapid whole-
body movement with a change of velocity or direction
in response to a stimulus (Sheppard & Young, 2006).
The use of tests of agility that combine changes of
direction and/or speed with cognitive measures is
encouraged in practice. Such new Reactive agility tests
also include anticipation and decision-making compo-
nents in response to the movements of a tester. Shep-
pard, Young, Doyle, Sheppard, and Newton (2006)
have found that the Reactive agility test distinguishes
between players of different performance levels in
Australian football, while traditional closed skill sprint
Introduction
For many years, agility has been considered to be
the ability to execute fast movements and to stop
and restart rapidly. As a result, the majority of agility
research has been devoted to pre-planned, change of
direction speed tests. These tests (Illinois Agility Run,
Shuttle Run test, Zig Zag Test, 505 Agility test, Hexa-
gon test, Quadrant Jump Test, T-Test, 10 meter shuttle,
Quick Feet Test, Side-step Test, 20 Yard Shuttle, Agility
Cone Drill, 3-Cone Drill, Box Drill, AFL Agility Test,
Arrowhead Drill, 20 Yard Agility, Balsom Agility Run,
Lane Agility Drill, Shuttle Cross Pick-Up, etc.) have
been proposed to measure speed and agility. Although
there is great variation among the tests used, most of
them do not involve reactions to stimuli, and therefore
do not evaluate the cognitive component of agility
* Address for correspondence: Erika Zemková, Depart-
ment of Sports Kinanthropology, Faculty of Physical Educa-
tion and Sports, Comenius University in Bratislava, Nábr.
arm. gen. L. Svobodu 9, 814 69 Bratislava, Slovak Republic.
E-mail: zemkova@fsport.uniba.sk
Acta Gymnica, vol. 44, no. 3, 2014, 133–140
doi: 10.5507/ag.2014.013

134 E. Zemková and D. Hamar
and sprint with direction change tests do not. Simi-
larly, Farrow, Young, and Bruce (2005) showed that
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 only.
Indeed, agility skills that involve three information-
processing stages (i.e., stimulus perception, response
selection, and movement execution) represent a crucial
part of performance in many sports. Therefore, their
assessment should be considered an integral part of
functional testing in young beginners and professional
athletes alike.
In practice, Reactive agility tests that can be carried
out in the playing field or gym are preferred. A com-
puter-based portable system consisting of four contact
switch mats connected by means of an interface to the
computer can be used for this purpose. The system gen-
erates stimuli and measures total agility time (AT) and
AT in each direction of movement. There are a number
of test settings varying in the time of generation (con-
stant or random), the number of stimuli, their forms
and colors, as well as the color of the background.
The task of the subject is to touch, as fast as pos-
sible, with either the left or right lower limb, one of the
four mats located outside the four corners of a 0.8 m
square. Mats have to be touched in accordance with
the location of the stimulus in one of the corners of the
screen. Besides reacting from a position in the middle
of the square, subjects may respond from the location
of the last stimulus.
This test has been found to be sensitive in distin-
guishing subjects of different ages (Zemková, 2007;
Zemková & Hamar, 2014). However, its ability to
discriminate subjects of different performance levels
has not yet been determined. It may be assumed that
agility time differs significantly between athletes with
different demands on agility skills, and is specific to
those responding to visual stimuli. Verification of
this hypothesis was accomplished by comparison of
agility times in groups of athletes of different sport
specializations.
Methods
Participants
Altogether 282 (male and female) athletes of different
sport specializations volunteered to participate in the
study (Table 1). They were required to be active in a par-
ticular sport. Only participants who met the inclusion
criteria were included in the study. They were asked to
avoid any strenuous exercises during the study. All of
them were informed of the procedures and the main
purpose of the study. The procedures presented were
in accordance with the ethical standards on human
experimentation as stated in the Helsinki Declaration.
Procedure
Prior to the study, participants attended a familiariza-
tion session during which the testing conditions were
explained and trial sets carried out. Afterwards they
performed the Agility test (Figure 1). Their task was
to touch, as fast as possible, with either the left or the
Table 1
Characteristics of groups of athletes (mean ± SD)
Group nAge (years) Height (cm) Weight (kg)
Wrestlers 13 26.2 ± 3.1 175.0 ± 4.8 85.7 ± 7.8
Judo competitors 14 24.1 ± 3.8 173.9 ± 5.6 80.2 ± 8.8
Hockeyball players 22 22.7 ± 2.8 177.1 ± 5.4 76.7 ± 6.5
Aikido competitors 18 25.3 ± 4.1 173.8 ± 4.5 73.9 ± 5.5
Basketball players 32 20.4 ± 1.8 187.5 ± 6.1 78.9 ± 7.7
Volleyball players 21 21.3 ± 2.6 186.9 ± 6.2 74.0 ± 5.4
Soccer players 26 22.7 ± 2.9 179.7 ± 4.7 70.8 ± 4.9
Tennis players 17 20.7 ± 3.2 175.4 ± 5.1 71.1 ± 5.1
Ice-hockey players 16 22.9 ± 3.7 177.0 ± 5.4 77.8 ± 6.4
Karate competitors 27 23.9 ± 3.7 175.9 ± 5.7 68.4 ± 7.2
Tae-kwon-do competitors 23 21.9 ± 2.6 172.8 ± 3.8 68.7 ± 6.5
Fencers 11 20.8 ± 2.4 175.4 ± 4.1 65.1 ± 6.6
Badminton players 15 21.8 ± 2.0 176.5 ± 3.8 64.7 ± 5.7
Table tennis players 27 24.6 ± 4.5 172.8 ± 2.9 64.1 ± 5.4

135
Agility performance in athletes of different sport specializations
right foot, one of four mats located outside the four
corners of a 0.8 m square. The mats had to be touched
in accordance with the location of a stimulus in one of
the corners of a screen. The test consisted of 60 visual
stimuli with random generation of their location on the
screen and the time of generation of 500 to 2,500 ms.
The result was a sum of the 32 best agility times.
Agility testing
Agility time was measured by means of the computer
based FiTRO Agility check system (FiTRONiC s.r.o.,
Bratislava, Slovak Republic). The reliability of the test
procedure had been verified previously, and the test-
ing protocol had been standardized by the examination
of 196 participants (Zemková & Hamar, 1998a). The
analysis of repeated measurements showed a measure-
ment error of 7.1%, which is within a range comparable
to common motor tests. The mean of the best 8 agility
times in each direction has been found to be the most
reliable parameter of the test consisting of 3 sets of 60
stimuli (15 in each direction) with random generation
of their location. However, when the same protocol
(i.e., the same location of stimuli in each trial) was
used repeatedly, agility time significantly decreased
after each trial. Participants were most likely able to
remember the position of the initial stimuli, which
contributed to better results in successive trials. There-
fore, the result of the Agility test is a sum of the 32
best multi-choice agility times in four directions as a
response to stimuli generated by the computer in one
of the corners of the screen.
Statistical analysis
Data analysis was performed using the SPSS statistical
program for Windows (Version 18; SPSS, Inc., Chicago,
IL, USA). The calculation of the sample size was car-
ried out with α = 0.05 (5% chance of type I error) and
1 – β = .80 (power 80%) and using the results from our
preliminary studies that showed differences in agility
time between athletes of different sports (Zemková &
Hamar, 1998b; Zemková & Hamar, 1998c; Zemková
& Hamar, 1999). This provides a sample size of 16
subjects for this study. However, the sample size in
four groups was below this limit (from 11 to 15) as the
inclusion criteria required participants to be active in
a particular sport. Therefore, the statistical power for a
group of size n ranged from .76 to .85.
A series of one-factor ANOVA with a Bonferroni
post hoc test was used to determine differences in agil-
ity time between groups of athletes of different sport
specializations. The criterion level for significance was
set at p ≤ .05. Sex data, determined to be normally dis-
tributed, were analyzed in previous studies using the
independent samples t-test and showed no significant
differences in agility time between men and women
(Zemková & Hamar, 1998b; Zemková & Hamar,
1998c; Zemková & Hamar, 1999). Data on agility time
for all examined groups are presented as the mean ±
the standard deviation.
Results
The Agility test has been found to be sensitive in
distinguishing groups of athletes of different sport
specializations and has shown that some differences
do exist among the mean values for the examined
groups at p ≤ .05. The mean values of agility time and
the standard deviations for each group of athletes
a
b
Figure 1. The Agility test (a), summary report of the test (b)

136 E. Zemková and D. Hamar
Table 2
Agility time (mean±SD) and interdifference matrix between agility times of examined groups of athletes of different sport specializations
Sport Agility time (ms) Wrestling Judo Aikido Hockeyball Basketball Volleyball Soccer Tennis Ice-hockey Karate Tae-kwon-do Fencing Badminton
Wrestling 497.6 ± 44.4 —            
Judo 454.6 ± 44.9 .039 —
Aikido 409.1 ± 38.0 .008 .036 —
Hockeyball 392.4 ± 36.1 .007 .024 .091 —
Basketball 380.6 ± 35.4 .006 .021 .066 .098 —
Volleyball 369.3 ± 29.9 .005 .008 .042 .072 .099 —
Soccer 364.0 ± 34.7 .004 .008 .036 .066 .091 .119 —
Tennis 362.2 ± 27.0 .004 .008 .034 .063 .088 .114 .129 —
Ice-hockey 352.1 ± 29.4 .003 .007 .029 .042 .066 .090 .098 .105 —
Karate 339.4 ± 25.6 .002 .006 .009 .030 .041 .065 .070 .074 .096 —
Tae-kwon-do 338.7 ± 23.9 .002 .006 .009 .031 .040 .063 .068 .072 .095 .131 —
Fencing 336.6 ± 26.1 .002 .006 .009 .028 .038 .061 .067 .069 .092 .124 .126 —
Badminton 314.8 ± 23.9 .001 .004 .008 .009 .026 .031 .033 .034 .055 .070 .071 .075 —
Table tennis 306.1 ± 22.2 < .001 .003 .007 .009 .009 .026 .029 .028 .035 .060 .061 .063 .111

137
Agility performance in athletes of different sport specializations
are presented in Table 2. In addition, the variability
among subjects showed high F values for agility time
(F1,280 = 34.48, p < .001) indicating that the subjects
differed significantly in their performance.
As shown in Figure 2, the best agility times have
been found in table tennis players, badminton players,
fencers, tae-kwon-do competitors and karate com-
petitors (< 350 ms), followed by ice-hockey, tennis,
soccer, volleyball, basketball, and hockeyball players
(350–400 ms), then aikidoists (400–450 ms), and
finally judoists and wrestlers (450–500 ms).
Accordingly, these sports were divided into four
basic categories (Figure 3) that can be used for the
comparison of individual athlete data and changes in
the data during training.
0
50
100
150
200
250
300
350
400
450
500
550
Table tennis
Badminton
Fencing
Tae-kwon-do
Karate
Ice hockey
Tennis
Socce
r
Volleyball
Basketball
Hockeyball
A
ikido
Judo
Wrestling
A
gility time (ms)
Figure 2. Agility time in groups of athletes of different sport specializations
Figure 3. Agility time (± SD) in different sports divided in four basic categories

138 E. Zemková and D. Hamar
Discussion
The study showed that the Agility test discriminates
between groups of athletes with different demands on
their agility skills. The results are in agreement with
preliminary findings which showed better agility times
in athletes responding to visual rather than tactile
stimuli (Zemková & Hamar, 1998b, 1998c, 1999).
Moreover, differences in agility time have reflected
the actual ranking of athletes, for instance, at different
playing positions (center, forward, guard) in basketball
players (Zemková & Hamar, 2013), between hockey-
ball players and hockeyball goalkeepers (Divald, 2012),
in different corners of the hockey goal in ice-hockey
goalkeepers (Tóth et al., 2010), and in different move-
ment directions in badminton players (Štefániková &
Zemková, 2011). The data obtained in these studies
form the basis for the design of training programs spe-
cifically focused on the improvement of agility skills in
a particular movement direction.
Similar to strength and speed abilities, assessment
of agility also requires a sport-specific approach. In
order to obtain parameters of agility skills relevant to a
particular sport, the test closest to the one used during
training or competition should be preferred. In recent
years, several sport-specific versions of the Agility test
have been developed. These tests vary in: a) number
of contact mats (2 or 4), b) the distance between mats
and subject (0.4 m, 0.8 m, 1.6 m or 3.2 m), c) their
alignment (square or semi-circular), d) positioning
(underfoot or at the height of the thorax), and e) size
(6.5 × 6.5 cm or 35 × 35 cm) (Zemková & Hamar,
2009). The number of stimuli, their time of generation
and their colour have also been modified according to
the requirements of particular sports. The most used
versions of the Agility test are as follows: a) using two
mats for forehand and backhand movements in tennis
players, b) moving shorter distances for karate com-
petitors and longer distances for basketball players, c)
responding to the same stimulus located in four corners
for ice-hockey players and to stimuli of different forms
or colors located in a semi-circle for ice-hockey goalies,
d) touching the mats with the lower limbs for soccer
players and with upper limbs for basketball players, and
e) using a smaller target for karate competitors and big-
ger target for basketball players (Zemková & Hamar,
2013). Another example is the test for goalkeepers con-
sisting of two stimuli for the upper limbs and two stim-
uli for the lower limbs. Experience has shown that the
assessment of agility performance under sport-specific
conditions represents a more appropriate alternative
than the original version of the Agility test.
Measurements of simple and multi-choice reaction
times and of movement time may provide additional
information on the components of agility performance.
In the Reaction test, the participant may respond to
either one (simple reaction time) or more stimuli of
different forms or colors (multi-choice reaction time).
Decision time has a strong influence on total agility
time and therefore perceptual skill should be addressed
in agility testing and training. Young and Willey (2009)
found that of the three components that make up the
total time, decision time had the highest correlation
(r = .77, p < .001) with the total time. This correlation
with total time was greater than for response move-
ment time (r = .59) or tester time (r = .37), indicating
that decision time was the most influential of the test
components for explaining the variability in total time.
The decision time component within the reactive test
condition also revealed that the highly-skilled players
made significantly faster decisions than the lesser-
skilled players (Farrow, Young, & Bruce, 2005). The
results of Gabbett and Benton (2009) also demonstrate
that the decision and movement times on the Reactive
agility test were faster in higher-skilled players, with-
out compromising response accuracy. It is therefore of
practical significance to assess the perceptual compo-
nents of agility performance.
A new approach in the functional assessment of
athletes is the testing of agility skills under simulated
competitive conditions. It has been found that agility
time is better when the Agility test is performed in sim-
ulated competitive (Agility dual), rather than non-com-
petitive (Agility single) conditions (Zemková, Vilman,
Kováčiková, & Hamar, 2013). An Agility test in the
form of simulated competition should be preferred for
children and young athletes in order to enhance their
arousal level and motivation. Such an exercise may also
represent an appropriate means for agility training, par-
ticularly in young athletes (Zemková, 2012).
Recently, Kováčiková (2012) evaluated the changes
in reaction and speed abilities after 8 weeks of agility
training under simulated competitive and non-compet-
itive conditions. A group of 22 fit young men, divided
into two experimental groups, underwent the same agil-
ity training (two times a week for 30 minutes). How-
ever, while experimental group 1 performed the train-
ing in the form of simulated competition (i.e., either in
pairs or in a group), experimental group 2 performed
the same training under non-competitive conditions.
Prior to and after the training, agility times in the tests
of Agility single and Agility dual were measured. Addi-
tionally, simple reaction time, multi-choice reaction
time, maximal velocity of step initiation, frequency of
movement of the lower limbs, power in the concentric
phase of take off in a 10 second test of repeated jumps,
jump height, and contact time after drop jump were
measured. After 8 weeks of agility training, a more

139
Agility performance in athletes of different sport specializations
pronounced improvement of agility time was found in
the test of Agility dual in the group trained in the form
of simulated competition than in the group that carried
out the same training, but without competitive compo-
nents (18% and –0.6%, respectively). However, there
were no significant differences in the changes of other
parameters of reaction and speed abilities after train-
ing under simulated competitive and non-competitive
conditions. These findings indicate that agility training
performed in the form of simulated competition rep-
resents a more effective means for the improvement
of agility skills than the same training under non-com-
petitive conditions. However, such a training does not
contribute to more pronounced improvement of other
reaction or speed abilities.
Since agility skills represent a crucial part of per-
formance in many sports, their assessment should be
considered an integral part of the functional testing of
athletes. Data on agility skills in different populations
using pre-planned, change-of-direction speed tests have
been reported. However, there were no available data
on agility times in different sports obtained from Reac-
tive agility tests. This is the first study that provides
data on the agility time in the Reactive agility test of
athletes of different sport specializations.
Conclusions
The Agility test discriminates between groups of ath-
letes with different demands on their agility skills. The
best agility times have been found in athletes of racquet
sports, followed by competitors of combat sports with
reactions to visual stimuli, then players of ball sports,
and finally competitors of combat sports with reactions
to tactile stimuli. These data on agility times in different
sports can be used for the decision making process in
related sports, enabling comparisons to be made with
individual athlete data and changes in the data during
training. Taking into account significantly better agility
time in athletes responding to visual rather than tactile
stimuli, the Agility test may be recommended primar-
ily for athletes used to responding to various forms of
visual stimuli (e.g., the ball).
Acknowledgment
This study was supported through a Scientific Grant
Agency of the Ministry of Education of Slovak Republic
and the Slovak Academy of Sciences (No. 1/0373/14).
References
Divald, P. (2012). Rýchlosť reakcie hráčov a brankárov v hoke-
jbale [Speed of reactions of players and goalies in hockey-
ball]. Bratislava: Comenius University, Faculty of Physical
Education and Sports.
Farrow, D., Young, W., & Bruce, L. (2005). The development
of a test of reactive agility for netball: A new methodology.
Journal of Science and Medicine in Sport, 8, 52–60.
Gabbett, T., & Benton, D. (2009). Reactive agility of rugby
league players. Journal of Science and Medicine in Sport,
12, 212–214.
Kováčiková, Z. (2012). Zmeny reakčno-rýchlostných schop-
ností po rôznych formách agility tréningu [Changes of reac-
tion-speed abilities after different forms of agility training]
(Doctoral dissertation). Comenius University, Faculty of
Physical Education and Sports, Bratislava.
Sheppard, J. M., & Young, W. B. (2006). Agility literature
review: Classifications, training and testing. Journal of
Sports Sciences, 24, 919–932.
Sheppard, J. M., Young, W. B., Doyle, T. L., Sheppard, T.
A., & Newton, R. U. (2006). An evaluation of a new test
of reactive agility and its relationship to sprint speed and
change of direction speed. Journal of Science and Medicine
in Sport, 9, 342–349.
Štefániková, G., & Zemková, E. (2011). Posudzovanie
disjunktívnych reakčno-rýchlostných schopností do jed-
notlivých smerov pohybu v bedmintone [Assessment of
disjunctive reaction-speed abilities in each movement
direction in badminton]. In J. Suchý a kol. (Eds.), Pro-
ceedings of the Scientific Conference “Sciencia movens” (pp.
117–121). Prague: Charles University.
Tóth, I., Bielik, V., Bínovský, A., Duchoslav, L., Duvač, I.,
Filc, J., … Žák, F. (2010). Ľadový hokej: vysokoškolská
učebnica aplikovaných predmetov pre trénerov špecializácie
v ľadovom hokeji [Ice-hockey]. Bratislava: TO-MI Ice
Hockey Agency.
Young, W. B., & Willey, B. (2009). Analysis of a reactive
agility field test. Journal of Science and Medicine in Sport,
13, 376–378.
Zemková, E. (2007). Agility in children. Tělesná výchova a
sport mládeže, 73(2), 38–39.
Zemková, E. (2012). Assessment of agility skills in sport
and physical education. In Proceedings of the International
Forum of Physical Education and Sports Science (p. 15).
Chandigarh: Panjab University.
Zemková, E., & Hamar, D. (1998a). Test disjunktívnych
reakčno-rýchlostných schopností dolných končatín [Test
of disjunctive reaction-speed abilities of lower limbs]. In
M. Janura (Ed.), Sborník referátů z celostátní studentské
vědecké konference v oboru kinantropologie (pp. 178–181).
Olomouc: Palacký University.
Zemková, E., & Hamar, D. (1998b). Disjunktívne reakčno-
rýchlostné schopnosti u športovcov rôznych špecializácií
[Disjunctive reaction-speed abilities in athletes of differ-
ent specializations]. In Proceedings of the Scientific Confer-
ence “37. východoslovenské lekárske dni pri príležitosti 50.
výročia založenia Lekárskej fakulty a Fakultnej nemocnice
v Košiciach” (p. 13). Nový Smokovec: Slovak Society of
Sports Medicine.

140 E. Zemková and D. Hamar
Zemková, E., & Hamar, D. (1998c). Disjunktívne reakčno-
rýchlostné schopnosti v úpolových športoch [Disjunctive
reaction-speed abilities in combat sports]. In Proceedings of
the scientific conference “Súčasný stav a perspektívy Sokola”
(pp. 112–117). Košice: Technical University.
Zemková, E., & Hamar, D. (1999). Disjunktívne reakčno-
rýchlostné schopnosti u športovcov rôznych špecializácií
[Disjunctive reaction-speed abilities in athletes of different
specializations]. Slovenský lekár, 9, 145–146.
Zemková, E., & Hamar, D. (2009). Toward an understanding
of agility performance. Boskovice: Albert.
Zemková, E., & Hamar, D. (2013). Assessment of agility per-
formance under sport-specific conditions. Asian Journal of
Exercise and Sports Science, 10, 47–60.
Zemková, E., & Hamar, D. (2014). Age-related changes in
agility time in children and adolescents. International Jour-
nal of Science and Research, 3(11), 280–285.
Zemková, E., Vilman, T., Kováčiková, Z., & Hamar, D.
(2013). Reaction time in the Agility test under simulated
competitive and non-competitive conditions. Journal of
Strength and Conditioning Research, 27, 3445–3449.