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DETERMINANTS ANALYSIS OF CHANGE-OF-DIRECTION
ABILITY IN ELITE SOCCER PLAYERS
ANIS CHAOUACHI,
1
VINCENZO MANZI,
2,5
ANIS CHAALALI,
1
DEL P. WONG,
3
KARIM CHAMARI,
1,4
AND CARLO CASTAGNA
5,6
1
Tunisian Research Laboratory ‘‘Sport Performance Optimization,’’ National Center of Medicine and Science in Sports, Tunis,
Tunisia;
2
Fiorentina Football Club, Florence, Italy;
3
Department of Health and Physical Education, The Hong Kong Institute of
Education, Hong Kong, China;
4
Higher Institute of Sport and Physical Education of Ksar-Saı
¨
d, University of Manouba, Tunis,
Tunisia;
5
Football Training and Biomechanics Lab, Technical Department, Italian Football Federation, Florence, Italy; and
6
Marche Regional School of Sport, Italian Olympic Committee, Ancona, Italy
A
BSTRACT
Chaouachi, A, Manzi, V, Chaalali, A, Wong, DP, Chamari, K, and
Castagna, C. Determinants analysis of change-of-direction
ability in elite soccer players. J Strength Cond Res 26(10):
2667–2676, 2012—In this study, we examined the components
of 2 change-of-direction (COD) ability (CODA) tests in elite-
level male soccer players (n = 23, age 19 6 1 years, height
181 6 5.7 cm, body mass 73.2 6 4.1 kg, % body fat 11 6 2.4).
As CODA paradigms, the T-test and 5-m shuttle run-sprint
(5mSS) test assumed as describing the opposing ends of
the COD complexity in soccer (i.e., general and specific tests,
respectively) were considered. Results showed that the anthro-
pometric and muscular performance variables were able to
account for ;45% (p , 0.04) of the common variance of
CODA. The T-test performance was explained by 8 variables
(adjusted R
2
= 0.45, p = 0.026), with 5mSS, height, knee
extensors isokinetic concentric strength at 60°per second,
and right-to-left knee extensors eccentric strength deficit
reaching a level of significance in the provided model (p #
0.02). The best-fitting equation for 5mSS performance included
10 variables (adjusted R
2
= 0.48, p = 0.036) of which T-test
performance, height, percentage of body fat, and peak power
during the countermovement jump resulted significantly
affecting the common shared variance (p # 0.03). This study
finding showed that the affecting variables of CODA differ
according to the test characteristics. Furthermore, the magni-
tude of the reported associations suggests that currently
CODA should be regarded mainly as a task-specific fitness
attribute. Further studies are warranted to detect more relevant
performance variables to describe CODA. Meanwhile, soccer
coaches and fitness trainers are advised to improve players’
CODA using training drills that mimic crucial match actions.
KEY WORDS team sports, fitness training, power, strength,
agility, eccentric training
INTRODUCTION
S
occer like other team sports is considered as
a casually intermittent activity involving sudden
variation in directional modes that parallel game-
related changes in intensity (45). As a consequence,
the ability to perform sudden changes of direction (CODs) is
considered as a logically valid criterion for fitness detection in
soccer players of different age, competitive level, and gender
(38–40,45). The premises that support the logical relevance
of COD ability (CODA) in soccer come from the observation
of only a limited amount of match time spent by players
with ball possession (37,45). Consequently, most of the
;1,300 changes in activity are deemed to be undertaken
in off-the-ball conditions (37,45). This reasoning has been
recently supported by observational studies that showed
frequent variation in directional changes during a competitive
match in elite soccer players (8,9).
Despite the perceived and provided evidence of CODA
relevance, only few studies have been published with the aim
to examine the nature of this fitness component in soccer
(12,42). Furthermore, no soccer-specific CODA test has been
developed so far based on observational studies; conse-
quently, the tests used to assess this ability possess at best
only logical validity or are general in nature (12,38,42,45).
This should be considered an important limitation to
soccer physical fitness assessment and development because
CODA has been reported to be task specific in observational
and training studies (12,13,31,38,42,45,48,52).
In the absence of a gold standard for CODA, soccer players
are evaluated with a number of tests aiming to capture a
range of neuromuscular abilities that may cover the causal
requirements imposed by the match (i.e., tactical strategies,
opponent levels, and fatigue development) (13,31,38–40,48).
Address correspondence to Dr. Carlo Castagna, castagnac@libero.it.
26(10)/2667–2676
Journal of Strength and Conditioning Research
Ó 2012 National Strength and Conditioning Association
VOLUME 26 | NUMBER 10 | OCTOBER 2012 | 2667
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Copyright © National Strength and Conditioning Association Unauthorized reproduction of this article is prohibited.
As a result, the used CODA tests may possess a different
degree of association with game activities and they spread
along the test specificity spectrum according to their
relevance to soccer (12,45).
The tests aiming to assess CODA may be grouped
according to the number and type of the directional changes
involved in the trial (12). These features may result in
differences in the neuromuscular prerequisites necessary to
sustain test performance (12,42). In this regard, Sheppard and
Young (42) proposed a universal agility multicomponent
model in which CO DA was supposed as a systematic
module. However, to the best of our knowledge, this model
was not tested as per estimation power with relevant
variables in soccer (12,42). Information about the compo-
nents of CODA may discover the important issues in guiding
training prescription and intervention studies in soccer.
Therefore, the aim of this study was to examine the general
and specific CODA performance (i.e., logical constructs) and
to evaluate the neuromuscular determinants (i.e., determin-
istic constructs) of CODA in elite soccer players. As a work
hypothesis, we assumed the logical validity of the deter-
ministic model provided by Sheppard and Young (42,43) for
CODA in soccer.
METHODS
Experimental Approach to the Problem
In this observational-deterministic research, a group of
well-trained elite soccer players were studied for general
and specific CODA (i.e., logical constructs) (46). As general
CODA test was assumed, players’ performance over the
T-test reported to be a reliable and valid test in team sports
and physical education (7,12,16,24,33,41,42). The T-test
involving sudden CODs and directional modes with
a duration of ;10 seconds can be considered as mainly
involving neuromuscular performance components, thus
limiting the influence of metabolic fatigue on the final score
(12,16,24,41).
Shuttle running has been extensively reported to be a team
sports–relevant directional mode (12,30,35,42). In a study
carried out with Norwegian top-level soccer players, shuttle
running-sprinting (i.e., 10 m) was reported to be a soccer-
specific ability (48). More recently, shuttle running-sprinting
showed to be associated with match physical activities
performed at high intensity in elite-level professional soccer
players (i.e., English Premier League) (35). This provides
direct validity (14) for this COD mode in elite-level soccer.
In this study, the specific CODA was represented by the
5-m shuttle run-sprint test (5mSS; 5-m go-and-back = 10 m)
involving only 1 COD (i.e., 180° turn) according to the
general information provided by Barnes et al. (6). These
authors reported that in team sports, players are mostly
subjected to sharp COD (i.e., 180° turn) during sprints of
;5 m (6). Consequently, COD tests involving these
characteristics would likely be ideal for specific CODA
assessment in team sports. Specifically, in competitive soccer,
functional shuttle running takes the form of very short sprints
supporting the relevance (i.e., logical specificity) of the 5mSS
for soccer CODA assessment (8,9,45,48).
These 2 short-duration (i.e., ,10 seconds) tests were
considered with the preplanned aim to represent the upper
and lower end of the complexity spectrum of CODA with
respect to the concepts of generality and specificity (i.e., T-test
and 5mSS, respectively) for soccer (42).
In an attempt to describe agility, Sheppard and Young (42)
proposed a universal multifactorial deterministic model
supposing logical validity. In this universal deterministic
model of agility, CODA assumed a key role and was
considered as the interplay of a number of physical and
neuromuscular components (42). However, to the best of our
knowledge, no investigation has been carried out so far to
examine the supposed association between independent
variables (i.e., neuromuscular and anthropometric variables)
and the afferent dependent variable (i.e., CODA perfor-
mance). According to the deterministic model for agility
proposed by Sheppard and Young (42), test scores for
straight sprinting speed, lower-limb reactive strength,
concentric strength and power, and left-right strength
balance were included in the systematic module of CODA.
In addition to the proposed model, measures of lower-limb
eccentric strength were considered in this study (42). This is
because in COD, eccentric strength is deemed to be involved
to maintain joint congruence and to exert braking actions to
allow directional changes (12,23,29,44). As neuromuscular
components of the universal model for agility proposed by
Sheppard and Young (42), 5-m sprinting, countermovement
jumping, and 5-jump test (5JT) were considered for their
reported relevance to soccer performance and fitness
(3,15,45,48). According to its reported diagnostic importance
in soccer, muscular strength (eccentric and concentric) was
reported as isokinetic strength (1,2,19).
Subjects
Twenty-three elite-level male soccer players (age 19 6 1
years, height 181 6 5.7 cm, body mass 73.2 6 4.1 kg, % body
fat 11 6 2.4) were randomly chosen among members of
a successful first division professional soccer club of the
Tunisian National League 1 (Club Africain, Tunis, Tunisia).
The club is considered as one of the top 3 ranked teams in
Tunisia for the past 15 years. All players involved in this study
had competed at national and international level for their
respective age-groups. Twelve players were members of
the Tunisian national under-21 team, and the remaining
11 belonged to the under-19 team that ranked first during the
2007–08 season (i.e., assessment year). Players possessed at
least 6 years of experience in soccer training and competitions
at elite level, and took part in national or international
championships at the time of the investigation. Players
trained 5–6 times a week (;90 minutes per session) with
a competitive match taking place during the weekend.
Training sessions consisted mainly of technical and tactical
2668
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Change-of-Direction Ability in Elite Soccer Players
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skill development (80% of the training time). Physical
conditioning was performed twice a week and was aimed
toward anaerobic and aerobic performance development (5).
Anaerobic training consisted of plyometrics and sprint
training drills (5). Aerobic fitness was developed using
small-sided games (36) and short-interval or long-interval
running (26).
Testing procedures were performed during the last stage
of the competitive season (February to March 2007). During
the 48 hours preceding testing, players refrained from
heavy training and kept their usual daily activities. To avoid
dehydration, players were advised to drink ‘‘ad libitum’’
during the testing procedures and to remain in a high-
carbohydrate diet the day before and during the time of
the investigation.
Written informed consent was obtained from all players
after verbal and written explanation of the experimental design
and potential risks of the study. The study was conducted
according to the Declaration of Helsinki and the protocol
fully approved by the Clinical Research Ethics Committee
and the Ethic Committee of the National Center of Medicine
and Science in Sports of Tunis before the commencement of
the assessments. All players were informed that they could
withdraw from the study at any time without penalty.
Procedures
All the players were well accustomed to the procedures
involved in this study because they were part of their testing
follow-up during this study and preceding seasons. To
re-arouse testing procedure, players performed a familiariza-
tion session during the week preceding testing, with test
leaders (first authors) providing a procedural advice when
necessary. To limit circadian effect on performance, the
testing procedures were performed during the first hours of
the afternoon (3–5
PM) when team practice usually took place.
Each subject completed testing over 3 separate sessions
with at least 48 hours of recovery in-between. The period
between the first and the last tests was within 2 weeks to avoid
any change in the physical fitness of the subjects during the
testing period. The tests included the 5mSS and T-test for
agility, vertical and horizontal jump tests, 30-m sprint, and
isokinetic testing (concentric and eccentric contractions) of
the knee extensors and flexors. Vertical and horizontal jumps
were assessed during the first session, whereas the sprinting
ability and CODA were assessed during the second testing
session. The third session was dedicated to the isokinetic
tests. The week before testing, subjects attended 2 practice
sessions, during which they became familiar with the testing
equipment and procedures. All anthropometric measure-
ments were obtained during the familiarization sessions.
Anthropometry. Body mass was obtained to the nearest 0.1 kg
using an electronic scale (Seca Instruments Ltd., Hamburg,
Germany). Height was measured to the nearest 0.1 cm using
a stadiometer (Holtain Ltd., Crymych, United Kingdom).
Skinfold thickness at 4 sites (biceps, triceps, subscapular, and
suprailiac) was measured using a Harpenden calliper (Lange,
Cambridge, MA, USA). To increase measurement reliability,
the skinfold sites were measured 3 times by the same
investigator, with the average value used for data analysis.
Percentage of body fat was estimated using the equations
described by Durnin and Womersley (21).
Jump Testing. Vertical jump performance was assessed using
a portable force platform (Quattro Jump; Kistler, Winterthur,
Switzerland). Players performed a countermovement jump
(CMJ) according to the protocol described by Bosco et al.
(10). Before testing, players performed self-administered
submaximal CMJs (2–3 repetitions) as a practice and specific
additional warm-up. Subjects were asked to keep their hands
on their hips to prevent any influence of arm movements on
the vertical jumps and to avoid coordination as a confounding
variable in the assessment of the leg extensors neuromuscular
performance (16). Each subject performed 3 maximal CMJs,
with ;2 minutes recovery in-between. Players were asked to
jump as high as possible and the highest jump was used for
analysis. Reliability of the CMJ has been shown in previous
studies from our laboratory to be very high (16–18).
A quintuple horizontal jump test (5JT) was also performed
by each player (15). The 5JT required the subject attempting
to cover the greatest horizontal distance possible by per-
forming a series of 5 forward jumps with alternated left and
right foot contacts. Immediately before the 5JT, players were
instructed to begin and end with their feet parallel. The
participants were instructed to move forward using their
preferred leg. The 5JT performance was measured, with
a measuring tape, as the distance from the front edge of the
player’s feet at the starting position to the rear edge of the
feet at the final landing position. The assessor at landing had
to focus on the last stride of the player to determine exactly
the last footprint because the players could not always stay
on their feet at landing. The starting position was settled
on a fixed point. Subjects were allowed 3 trials, with the
longest distance used for analysis. The intraclass correlation
coefficient (ICC) and SEM for the 5JT were reported to be
0.96 and 0.2, respectively (17), in a population similar to that
considered in this study.
Sprint and Change of Direction Testing. All sprint and COD
times were recorded to the nearest 0.01 second using the same
electronic timing system (Brower Timing Systems, Salt Lake
City, UT, USA). The running speed of players was evaluated
with 30-m sprints (with 5- and 10-m split times also recorded).
The subjects performed 3 maximal 30-m sprints on an indoor
synthetic track. During the recovery period between 30-m
sprints (2–3 minutes), the subjects walked back to the starting
line and then waited for their next sprint bout. When ready,
the subjects began the sprint from a standing start 0.5 m
behind the first timing gate. Stance for the start was consistent
for each subject. The run with the shortest 30-m time (and
VOLUME 26 | NUMBER 10 | OCTOBER 2012 | 2669
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corresponding 5- and 10-m split times) was selected for
analysis. Data from our laboratory for 2 4 soccer players (with
similar characteristics to the sample of this study), who
performed sprint test on 2 separate occasions, yielded an ICC
and SEM of 0.96 and 0.0 2, respectively.
The T-test was administered using the protocol outlined by
Semenick (41). Four cones were arranged in a T-shape, with
a cone placed 9.14 m from the starting cone (photocell gates
2 m apart) and 2 further cones placed 4.57 m on either side
of the second cone. Subjects were asked to sprint forward
9.14 m from the start line to the first cone and touch the tip
with their right hand, shuffle 4.57 m left to the second cone
and touch it with their left hand, then shuffle 9.14 m right
to the third cone and touch it with their right hand, and
shuffle 4.57 m back left to the middle cone and touch it with
their left hand before finally back pedaling to the start line.
Trials were deemed unsuccessful if participants failed to
touch a designated cone, crossed their legs while shuffling,
or failed to face forward at all times. Only 1 timing gate
placed on the start-finish line was used for timing the T-test.
Subjects performed 3 trials and the fastest time from 3 trials
was used as the T-test score. Previous research from our
laboratory showed T-test to be highly reliable, with an ICC
and SEM of 0.96 and 0.1, respectively (17).
For the 5mSS, 2 lines (start line and 5-m line) were marked
on the ground, 5 m apart. The subject sprinted from the start
line and then turned 180° on the front line 5 m apart, to sprint
back crossing the starting line again. One timing gate placed
on the start-finish line was used for timing the 5mSS. Only
trials that had players stepping on the front line at the 180°
turn were considered valid. Players performed 2 valid 5mSS
trials, with the fastest retained for calculations (2-minute
recovery between trials). Change of direction was performed
freely with the preferred foot of the subject. The ICC and
SEM for the 5mSS (i.e., test-retest design, n = 24) were
0.91 and 0.05, respectively.
Isokinetic Testing. Isokinetic concentric and eccentric knee
extensor (quadriceps) and flexor (hamstrings) strength of
both limbs was assessed at an angular velocity of 60°per
second using an isokinetic Cybex II Norm dynamometer
(Cybex NORM; Henley Healthcare, Cybex International,
Inc., Medway, MA, USA), according to Chamari et al. (15).
The concentric strength of the quadriceps and hamstrings
was assessed during continuous (bidirectional) knee exten-
sion-flexion movements. A pause of 1 second was allowed
between extension-flexion movements to avoid a contribu-
tion to hamstring torque from the previous quadriceps
action. Eccentric muscle strength was measured during dual
concentric-eccentric actions of the same muscle group. The
order of tests was concentric extensor, concentric flexor,
eccentric extensor, and eccentric flexor. Testing was pre-
ceded by a standardized warm-up procedure including
cycling and hamstring and quadriceps dynamic stretching
exercises. As part of the warm-up, the subjects sat on the
Cybex Norm dynamometer and were secured to both the
dynamometer and the corresponding chair according to
the manufacturer’s specifications to minimize extraneous
movements and to maintain a constant hip joint angle (90°).
After height, limb mass, gravity correction, and individu-
al-specific full range of knee motion were recorded, subjects
performed a set of 4–5 submaximal leg extension and flexion
contractions on the isokinetic dynamometer at 18 0°per
second as a specific warm-up. After a 3-minute rest, the
participants were asked to perform 5 maximal concentric and
eccentric repetitions with a rest period of 3 minutes between
sets, and the highest peak torque values of the flexors and
extensors of each leg were used for the analysis. Five
repetitions were chosen because it is acknowledged in the
literature that no more than 5 repetitions are necessary when
assessing strength (11). The limb tested first was randomly
chosen for each participant. After testing, the participants
completed a 5-minute cool-down period on a cycle ergom-
eter. Bilateral muscle strength imbalance was calculated using
the formulae (right leg 2 left leg/right leg 3 100).
Statistical Analyses
Data are presented as mean 6 SD and confidence intervals at
95% level (95% CIs). Before any parametric statistic was
performed, the assumption of normality was tested with the
Shapiro-Wilk test on each variable. Association between
variables was assessed using Pearson’s correlation coefficient.
Magnitude of correlation was qualitatively ranked according
to Hopkins (25) as follows: trivial r ,0.1, small 0.1 , r , 0.3,
moderate 0.3 , r , 0.5, large 0.5 , r , 0.7, very large
0.7 , r , 0.9, nearly perfect r . 0.9, and perfect r =1.
The Sheppard and Young (42) deterministic model for
CODA was tested using a linear model (i.e., forward stepwise
multiple regression). The model assumed as constructs of
CODA the 5mSS or T-test (i.e., dependent variables).
According to Sheppard and Young (42), the following
variables were considered as components of the universal
agility model proposed: (a) body mass, percentage of body fat
(% body fat), height, leg length, and body mass index as
representatives of anthropometry; (b) 5-m sprint perfor-
mance as straight sprinting speed factor; (c) CMJ peak power
(CMJ-PP) as power factor; (d) 5JT performance as a reactive
strength measure (15); (e) quadriceps and hamstring con-
centric (QuadConc and HamConc, respectively) and eccen-
tric (QuadEcc and HamEcc, respectively) isokinetic strength
at 60° per second (mean of the right and left limbs) as
dynamic strength factors (19,28); and (f) percentage of dif-
ference of right versus left concentric and eccentric isokinetic
strength (60° per second) of quadriceps (QuadCImb% and
QuadEImb%, respectively) and hamstrings (HamCImb%
and HamEImb%, respectively) muscles as representative of
left-right muscle imbalance.
Median-split technique was used to assess the likelihood
of difference between pla yers scoring high or low with
respect t o CO DA performance (i.e., T-test and 5mSS test).
2670
Journal of Strength and Conditioning Resear ch
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Change-of-Direction Ability in Elite Soccer Players
Copyright © National Strength and Conditioning Association Unauthorized reproduction of this article is prohibited.
Copyright © National Strength and Conditioning Association Unauthorized reproduction of this article is prohibited.
Multivariate analysis of variance with a between-group
design was used assuming as d ependent variables T-test and
5mS S performances split into 2 groups according to the
median score (i.e., best and worst performers groups ).
Preliminary assumption t esting was conducted to check for
normality, line arity, univariate and multivariate outliers,
homogeneity of variance-covaria nce matrices, an d multi-
collinearity. The same te st scores as dependent variables
were used as per the multiple regression analysis. The
independent variables were group differen ce in T- test and
5mS S scores.
Practical significance was
assessed by calculating the
Cohen’s d effect size (0.1 =
trivial, 0.2 = small, 0.5 =
medium, 0.8 = large) and eta
square (h
2
; small = 0.01,
medium = 0.06, large =
0.14). The reliability of the
tests used in this study was
assessed with ICCs before the
commencement of the study
in a population of soccer
players and ranged from 0.91
to 0.96 (47).
RESULTS
Using T-test as a dependent
variable (15 model independent
variables), the forward stepwise
multiple regression showed
best fit after 8 steps (R = 0.81,
R
2
= 0.65, adjusted R
2
= 0.45, F
8,14
= 3.25, p = 0.026). The best
fit for the 5mSS performance was achieved with a 10-step
model (R = 0.85, R
2
= 0.72, adjusted R
2
= 0.48, F
10,12
= 3.03,
p = 0.036). Details of the forward stepwise multiple
regressions are reported in Tables 1 and 2.
Significant effects (p , 0.05) were obtained for 5mSS,
height, QuadConc, and QuadEImb% for the T-test model,
and for T-test, height, % body fat, and CMJ-PP for the 5mSS
model. Using the ‘‘median-split’’ technique, the soccer
players were divided into 2 groups (best and worst)
according to the median T-test (T-test
best
and T-test
worst
)
and the 5mSS (5mS S
best
and
5mSS
worst
) scores. The player
with the median time value was
excluded to obtain 2 subgroups
with the same number of
participants (n = 11).
T here was a statistically signif-
icant difference between T-test
best
and T-test
worst
on the combined
dependent variables (F
4,17
= 4.65,
p = 0.01, h
2
=0.52).Whenthe
results for the dependent varia-
bles were considered separately,
statistically significant differences
were observed in sprint time
over 5 m (F
1,20
= 7.52, p =
0.0013, h
2
= 0.273), CMJ-PP
(F
1,20
= 5.20, p = 0.034, h
2
=
0.206), 5mSS (F
1,20
= 4.99, p =
0.037, h
2
= 0.200), and ham-
string peak eccentric torque
(F
1,20
= 5.49, p = 0.030, h
2
=
0.215) (Table 3). No significant
TABLE 1. Multiple correlation summary of the deterministic model assuming T-test as
a dependent variable.*
T-test Beta (SE) B (SE) pR
2
Step
5mSS 0.64 (0.20) 1.32 (0.41) 0.006 0.15 1
Height 0.93 (0.27) 0.05 (0.01) 0.003 0.29 2
QuadConc 20.88 (0.30) 20.01 (0.01) 0.011 0.37 3
QuadEImb% 20.44 (0.18) 20.01 (0.01) 0.029 0.43 4
QuadEcc 20.55 (0.28) 20.04 (0.01) 0.066 0.50 5
5-m sprint 0.29 (0.18) 0.96 (0.62) 0.145 0.55 6
CMJ-PP 0.38 (0.22) 0.02 (0.01) 0.104 0.59 7
% Body fat 0.40 (0.26) 0.05 (0.03) 0.139 0.65 8
*Step = forward stepwise regression variable inclusion step; 5mSS = 5-m shuttle
run-sprint; QuadConc = quadriceps concentric isokinetic strength at 60° per second;
QuadEImb% = percentage of difference of right vs. left eccentric isokinetic strength of
quadriceps muscles; QuadEcc = quadriceps eccentric isokinetic strength at 60° per second;
CMJ-PP = countermovement jump peak power.
TABLE 2. Multiple correlation summary of the deterministic model assuming 5mSS
test as a dependent variable.*
5mSS Beta (SE) B (SE) pR
2
Step
T-test 0.59 (0.18) 0.29 (0.09) 0.008 0.15 1
QuadCImb% 0.15 (0.21) 0.01 (0.01) 0.489 0.29 2
Height 21.43 (0.40) 20.04 (0.01) 0.004 0.35 3
% Body fat 20.62 (0.23) 20.04 (0.01) 0.020 0.44 4
CMJ-PP 20.48 (0.19) 20.01 (0.01) 0.027 0.50 5
Leg length 0.75 (0.43) 0.03 (0.02) 0.109 0.58 6
QuadEImb% 0.41 (0.21) 0.01 (0.01) 0.074 0.63 7
QuadConc 0.66 (0.35) 0.01 (0.01) 0.081 0.66 8
QuadEcc 0.42 (0.30) 0.01 (0.01) 0.182 0.69 9
5JT 20.26 (0.25) 20.05 (0.05) 0.331 0.72 10
*Step = forward stepwise regression variable inclusion step; QuadCImb% = percentage of
difference of right vs. left concentric isokinetic strength of quadriceps muscles; CMJ-PP =
countermovement jump peak power; QuadEImb% = percentage of difference of right vs. left
eccentric isokinetic strength of quadriceps muscles; QuadConc = quadriceps concentric
isokinetic strength at 60° per second; QuadEcc = quadriceps eccentric isokinetic strength at
60° per second; 5JT = 5-jump test.
VOLUME 26 | NUMBER 10 | OCTOBER 2012 | 2671
Journal of Strength and Conditioning Research
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difference between the variables of interest was found when
the groups were formed according to the 5mSS score.
DISCUSSION
This is the first study that has examined the components of
CODA in elite-level soccer players using the Sheppard and
Young (42) universal model components for agility. The main
finding of this study was the existence of explanatory models
that were moderately successful in describing the determin-
ing variables of the CODA tests considered here in elite
soccer players.
Change-of-direction ability is considered as a relevant
fitness variable in team sports (12,42). However, despite the
supposed importance of CODA, no universal gold standard is
currently available for its assessment (12,16,42). Furthermore,
there are several constructs that have been proposed in the
international literature to define CODA (6,12,42).
Recently, Sheppard and Young (42) proposed CODA as
a systematic component of agility considered as a physical
performance attribute possessing a strong cognitive compo-
nent. The CODA was defined by Brughelli et al. (12) as the
ability to change direction while sprinting over a preplanned
course. Despite the logical validity of this definition, no
universal test is currently available in team sports and the
attempts to develop specific tests provided protocols that at
best possess logical validity (12,16,42,43). The CODA tests
may be successfully classified according to the number of
CODs considered in the test protocol and complexity of
variation in movements (12).
In this study to assess the CODA in elite-level soccer
players, 2 tests were used that differed for CODs number and
exercise modes involved (i.e., 5mSS and T-test). The T-test
initially developed for CODA assessment in basketball pro-
gressively acquired team sports interest for its feasibility,
validity, and reliability (7,12,16,33,41). Indeed, the T-test,
involving lateral and backward running switching from short
sprinting, mimics the movement pattern considered as
relevant in most of the team sports (12).
Shuttle run-sprinting performance is considered as a perti-
nent activity in elite soccer and descriptive studies suggested
to consider it as a ‘‘per se’’ ability (22,27,31,35,45,48). In this
study, we used the T-test and the 5mSS test, as logical
representative of general and specific CODA test paradigms
in soccer, respectively. The independence of the 2 tests used
as agents of the ideal CO DA spectrum ends (i.e., universality
vs. specificity) was supported by the moderate and non-
significant correlation between 5mSS and T-test (n =23,r
2
=
0.14, 95% CI 20.03 to 0.69, p = 0.07).
The CO DA is commonly considered as a multifactorial
fitness attribute of team sport players. Sheppard and Young
(42) proposed a universal multicomponent model to describe
the supposed determinant of CODA. However, they did
not provide information about the specific nature of the
components proposed. In this study, the logically valid
framework of the universal multicomponent model was
challenged using a number of performance variables that
were considered relevant to soccer physical performance and
assumed as representative of the component constructs
(19,40,45,48). Differently from what originally proposed by
Sheppard and Young (42), the deterministic model was fed
with variables describing lower limb eccentric strength as
well (28). This was undertaken because C ODA involves
fast acceleration that converts into sudden decelerations
requiring high–eccentric strength gradients (12,42).
Multiple correlation analyses showed that 8 and 10
variables determined the best-fitting model for the T-test
and 5mSS test, respectively (Tables 1 and 2). Interestingly, in
both models, CODA performance, anthropometry, strength,
and muscular imbalance provided significant effect in the
predicting equations. However, the adjusted R
2
resulting
from best fitting ranged from 0.45 to 0.48, showing that the
explanatory strength of the models was moderate.
These findings are similar to those recently reported by
Jones et al. (28) who studied the physical determinants of
COD speed in a population (n = 38) of university students
who were involved in recreational sport activities. These
authors reported that the explanatory terms (i.e., short-term
TABLE 3. Summary of the multivariate analysis of variance statistics (significant differences, p # 0.01) using the median-
split technique for T-test score.*
T-test
best
(mean 6 SD)
T-test
worst
(mean 6 SD)
Mean
difference
95% Confidence
interval
Magnitude of the difference
Effect size Interpretation
CMJ-PP (W) 34.38 6 5.73 30.02 6 2.76 4.36 0.26 to 8.47 0.206 Large effect
5-m sprint (s) 1.07 6 0.07 1.16 6 0.08 20.93 20.16 to 20.02 0.284 Large effect
Time 180° (s) 2.82 6 0.09 2.95 6 0.13 20.13 20.24 to 20.03 0.200 Large effect
HamEcc 60° (Ns
21
) 2174 6 22 2148 6 28 225.36 247.95 to 22.78 0.215 Large effect
*CMJ-PP = countermovement jump peak power; HamEcc = hamstring eccentric isokinetic strength at 60° per second.
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Change-of-Direction Ability in Elite Soccer Players
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linear sprinting and isokinetic eccentric strength) used were
able to explain ;67% (using R
2
) of the common variance of
COD (i.e., 505 test) performance (42). Unfortunately, Jones
et al. (28) did not report the adjusted R
2
to characterize the
population goodness of fit, and consequently, the general-
ization of their findings is doubtful.
In this study, the considered line-sprint component (i.e.,
5-m sprinting) showed only a marginal effect on the pre-
dictive model differently from what was reported by Jones
et al. (28). Indeed, in the Jones et al. (28) study, the flying 5-m
sprint accounted for ;58% of the COD variance.
The difference found between the studies may be because
of the populations assessed and may suggest specific training
adaptations in soccer players (45). Interestingly, the effect of
linear sprinting was detected by the proposed model only for
the general CODA test in this study (i.e., T-test) and in
recreational athletes in the Jones et al. (2 8) study. This finding
challenges the consideration of straight sprinting speed (i.e.,
5 m) as a factor in the soccer-specific component model of
CODA. It could be argued that the sprint distance considered
in this study may have had an impact on the explanatory
strength of the straight sprinting speed component in the
model. In this study, player’s sprint performance was also
assessed for the 10 and 30 m according to what was
suggested by Cometti et al. (19). Results showed that the 5-m
sprint time was almost perfectly and very largely correlated
with the 10 m (r = 0.97, p , 0.0001, 95% CI 0.94–0.99, n =23)
and 30 m (r = 0.74, p , 0.0001, 95% CI 0.46–0.88, n =23)
sprint scores, respectively. Furthermore, the 10-m sprint
performance was very largely associated with the 30-m
scores (r = 0.85, p , 0.0001, 95% CI 0.67–0.93, n = 23). The
resulting high collinearity and the evidence-based soccer
sprinting pattern suggested the introduction of the 5-m test
as representative of linear sprinting performance in the
predicting model considered (19,45,48).
The findings of this study are in line with other research
reports that suggested CODA as not being influenced by
forward sprinting ability in soccer (12,45,48). It is of interest to
note that the CODA tests employed in this study showed
a mutual influence on the relative explanatory models despite
absence of collinearity. This suggests that simple CODA,
as represented by 5mSS performance, may play a role in
the more articulated CODA test (i.e., T-test) performance
when associated with ideal anthropometric and muscular
conditions and vice versa.
Muscle power and strength variables only marginally
explained the CODA performances. Despite the supposed
effect in either deterministic model, the quadriceps and
hamstring eccentric strength played a marginal role. Spe-
cifically, eccentric strength yielded a significant support to
CODA determinism only in T-test model when assumed as
eccentric strength imbalance between the right and left
legs. However, the models’ best fitting showed to be
optimized by the introduction of eccentric strength variables
(Tables 1 and 2).
It could be speculated that probably the considered
expression of eccentric strength (i.e., isokinetic strength at
60°) was the cause of the resulting marginal effect of this
type of contraction regimen on CODA. Consequently, future
studies using more functional eccentric strength variables (i.e.,
assessed at higher angular velocities) are warranted.
These results are different from those reported by Jones et al.
(28) who showed a significant effect of hamstring isokinetic
eccentric strength at 60° on a CODA test similar to 5mSS.
These differences may be partly explained by difference in
training background (recreational athletes vs. elite soccer
players) and the nature of the explanatory variables used.
Reactive strength is considered as a measure of the ability
to change rapidly from an eccentric to a concentric action
(42). In C O DA and agility studies, measures of reactive
strength have been performed using a depth jump (DJ) from
various drop heights (6,12,2 0,2 8,51). Despite the supposed
effect of reactive strength, the studies that examined the
association between C O DA and DJ performance only
reported moderate associations (i.e., correlation coefficient)
(6,12,20,28,51). Indeed, in the reported studies, the shared
variance (i.e., r
2
) between CODA and DJ performance
ranged from 0.13 to 0.22, an effect that was dramatically
lower than the critical 0.50 threshold that should b e
exceeded to justify generality (46). According to these
findings, the use of DJ as a measure of reactive strength in
CO DA studies is questioned.
In this study, the 5JT was considered as testimonial of
reactive strength (15). Recent studies showed that 5JT was
a valid and reliable test in elite-level soccer players (15).
Furthermore, 5JT performance showed large association (i.e.,
r = 20.61, p = 0.02) with T-test in elite-level male basketball
players (16). The rationale that informed the introduction of
the 5JT in the predictive models was its greater functional
relevance to CODA performance compared with classic
variables of reactive strength such as DJ performance
(12,15,16,42,49). Despite the supposed relevance to COD
performance, results showed only a marginal effect of 5JT in
5mSS performance.
This finding and those of others do not provide evidence to
justify the inclusion of reactive strength in the specific model
of CODA in soccer (6,12,20,28,51). However, it could be
speculated that at the moment, a functional measure of
reactive strength has yet to be found in soccer (45). In this
regard, training and descriptive studies using several mea-
sures of reactive strength are warranted.
Muscle power has been suggested to be an explanatory
variable of CODA (42). According to Young et al. (50), CMJ-
PP was considered as a variable representing muscle power
in this study. Peak power during CMJ showed to be sig-
nificantly (p = 0.027) associated with 5mSS performance
(Table 3) only. This finding was different from what was
previously reported in other studies that showed trivial and
nonsignificant relationship between CMJ power or height
and CODA test performance (12,42). The selective
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association of CMJ-PP and CODA (i.e., 5mSS vs. T-test) may
be explained with CODA test complexity (42). Sheppard and
Young (42) suggested that probably CO DA test complexity
(i.e., distance covered and number of change in directions)
was related to variability in acceleration and deceleration
before changing in direction and in technique, which may
have affected the magnitude in association between CMJ
performance and CODA test results. Indeed, in the only
study reporting significant association between CMJ and
CODA performance, the considered test involved only 1
COD like in this study (32).
In this study, the effect of muscle imbalance on CODA was
examined considering the right-to-left difference in concen-
tric and eccentric strength of knee extensors and flexors.
Although measures of muscle imbalance were entered in both
the T-test and 5mSS explanatory models, the association
resulted significant only for the former test. Specifically, the
higher the player right-to-left imbalance (QuadEImb%), the
better the T-test performance. This is quite an unexpected
finding that suggests that eccentric asymmetry of knee
extensors should be considered as an advantage in multi-
direction agility tasks (i.e., forward, sideward, and backward
running). It could be speculated that players during T-test
performance used as pivoting leg their right lower limb. The
studies that examined muscular imbalance effect on CODA
performance reported no supporting evidence; consequently,
this study finding was quite unexpected. With the descriptive
nature of this study, it was not possible to explain the reason
underpinning this finding and this warrants further studies.
Future research should focus on more functional strength
imbalance measures to evaluate its relationship with COD
technique (4 2).
Anthropometry was proposed to have potential in affecting
COD speed (12,16,42). Body composition (i.e., body mass
and percentage of body fat) has been reported to affect T-test
performance in elite male professional basketball players (16).
Indeed, Chaouachi et al. (16) found very large (i.e., r = 0.80,
p , 0.001) and large (i.e., r = 0.58, p , 0.05) associations
between T-test performance and percentage of body fat in
elite male basketball players. In this study, percentage of
body fat significantly contributed to the 5mSS prediction
model suggesting that in 180° CODA tests, the amount of
body fat may result detrimental.
Other anthropometric factors that may potentially be
related to CODA are players’ height, lower limb length, and
center of gravity height (42). In this study, players’ height
accounted significantly to the explained variance of T-test
and 5mSS models. Leg length only marginally contributed to
the 5mSS variance (Table 2).
These findings suggest that shorter height and or a lower
center of mass may be an advantage in soccer players when
attempting sharp COD and more complex COD tasks. A
possible explanation of this result may be that players with
lower center of mass could be conceivably able to apply
horizontal forces more effectively than taller players, with
shorter time required to lower the center of gravity to perform
a quick lateral COD (12,42).
The within-group cross-sectional designs enable tracking of
independent variables that are associated with the partition-
ing construct (i.e., dependent variable) (17). This analysis
method constitutes an explorative strategy useful to gain
information to guide training interventions through de-
scriptive (i.e., time independent) studies (i.e., static screening)
(46). In this study, with the aim to simulate training effects,
players were grouped according to their CODA performance
(i.e., discriminative construct, T-test, and 5mSS test) using the
median-split technique (17). Players possessing greater-than-
median T-test performance reported better performance also
in some of the supposed attributes of the multicomponent
model (42). Specifically, soccer players scoring high in the
T-test showed superior performance also in CMJ-PP, 5-m
sprinting, and 5mSS performance. Furthermore, they showed
higher eccentric strength of hamstrings. Interestingly, the
same statistical procedure (i.e., median-split technique) was
not successful in discriminating model component variables
when grouping players according to their 5mSS perfor-
mance. These findings may be considered as evidence of the
supposed different nature of the CODA tests used. The more
complex protocol of T-test, involving superior demand on
balanced movement skill, may partly explain the reported
differences.
The 5mS S performance paralleled difference in T-test
performance sugge sting that sho rt-term shuttle running
ability can favorably affect more complex CO D tasks as
those involved i n the T-test. This provides support to the
resultsobtainedbytheforwardstepwiseregressionanalysis
when challenging the T-test universal CO DA model.
However, this was not a biunivocal occurrence because
T-test was not able to discriminate betwee n best and
worst performance groups when 5mSS was considered as
a dependent variable.
Unfortunately, with this research design (i.e., descriptive
correlational design), it was not possible to disclose the
reasons underpinning this difference. However, it could be
speculated that movement or protocol complexity played
a role in the discriminative ability of the performance
components considered here.
Interestingly, eccentric strength level of hamstrings showed
to discriminate between T-test performance groups. These
results are in line with those reported by Jones et al. (28)
that showed association between CODA performance and
hamstring isokinetic eccentric strength in recreational
athletes. Findings of descriptive studies in association with
enhancement of short-sprint performance in soccer players
as a consequence of eccentric strength hamstring improve-
ment suggest the importance of eccentric hamstring strength
in complex CODA tasks (4,28). It could be speculated that
this was the result of hamstrings acting as mediators of the
breaking forces occurring during sudden change of move-
ment and directions (12).
2674
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In light of the findings of this study, the CODA universal
proposed model failed to fully explain the performance in the
5mSS test and T-test. Indeed, a number of the variables used
to represent the supposed explanatory model constructsdid
not affect the estimation of the CODA tests. Acceleration
ability, muscular strength, and body makeup showed to be
predictors of CODA in this population of elite-level soccer
players. Further studies using more relevant CODA tests to
soccer performance and functional representative of model
constructs are warranted. In this context, lower limb internal
and external rotational peak torque and abductors/adductors
power may be considered in further studies. Even though not
currently and widely assessed, these 2 functional perform-
ances are involved in most, if not all, CODA tasks. We
therefore hypothesize that including such functional perform-
ances could empower the COD explanatory model.
PRACTICAL APPLICATIONS
When acceleration abilities are required such as in team sports,
the body composition of players should be considered. Elite
soccer players should get rid of excess of body fat to optimize
their ability to perform sudden COD with large angles (from
90 to 180°). This can be favorably achieved as soccer is not
a collision sport and players different from football and team
handball do not require fat to dampen opponent impacts
during crucial part of the game (34). Eccentric strength
training should be considered for improving maximal
dynamic strength of knee extensor and flexor muscles.
The information provided by this study results support
the already reported notion of training prescription specificity
for CODA (12,42). With the current gained evidence, soccer
strength and conditioning coaches should elaborate CODA
drills that replicate the most frequent and challenging action
of the match (45). In this regard, sport scientists interested
in soccer should carry out descriptive studies (i.e., match
and time-motion analyses) to better detect movement pat-
tern during soccer competitions. Studies aiming to develop
soccer-specific CODA tests are warranted.
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Copyright © National Strength and Conditioning Association Unauthorized reproduction of this article is prohibited.