ArticlePDF AvailableLiterature Review

Abstract

In elite soccer, players are frequently required to play consecutive matches interspersed by 3 days and complete physical performance recovery may not be achieved. Incomplete recovery might result in underperformance and injury. During congested schedules, recovery strategies are therefore required to alleviate post-match fatigue, regain performance faster and reduce the risk of injury. This article is Part I of a subsequent companion review and deals with post-match fatigue mechanisms and recovery kinetics of physical performance (sprints, jumps, maximal strength and technical skills), cognitive, subjective and biochemical markers. The companion review will analyse recovery strategies used in contemporary professional soccer. Soccer involves many physically demanding activities including sprinting, changes in running speed, changes of direction, jumps and tackles, as well as technical actions such as dribbling, shooting and passing. These activities lead to a post-match fatigue that is linked to a combination of dehydration, glycogen depletion, muscle damage and mental fatigue. The magnitude of soccer match-induced fatigue, extrinsic factors (i.e. match result, quality of the opponent, match location, playing surface) and/or intrinsic factors (i.e. training status, age, gender, muscle fibre typology), potentially influence the time course of recovery. Recovery in soccer is a complex issue, reinforcing the need for future research to estimate the quantitative importance of fatigue mechanisms and identify influencing factors. Efficient and individualized recovery strategies may consequently be proposed.
Recovery in Soccer
Part I Post-Match Fatigue and Time Course of Recovery
Mathieu Ne
´de
´lec,
1,2
Alan McCall,
1,2
Chris Carling,
2
Franck Legall,
1,2
Serge Berthoin
1
and
Gregory Dupont
1,2
1 Universite
´Lille Nord de France, Lille, France
2 LOSC Lille Me
´tropole Football Club, Camphin-en-Pe
´ve
`le, France
Contents
Abstract................................................................................. 997
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 998
2. Post-Match Fatigue . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 998
2.1 Dehydration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 999
2.2 Glycogen Depletion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 999
2.3 Muscle Damage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 999
2.4 Mental Fatigue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1000
2.5 Summary........................................................................ 1001
3. Time Course of Recovery Markers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1001
3.1 Magnitude of Fatigue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1001
3.2 Relevance of Recovery Markers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1003
3.2.1 Physical Performance Markers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1005
3.2.2 Cognitive Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1008
3.2.3 Subjective Markers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1008
3.2.4 Biochemical Markers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1008
4. Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1010
Abstract In elite soccer, players are frequently required to play consecutive matches
interspersed by 3 days and complete physical performance recovery may not
be achieved. Incomplete recovery might result in underperformance and in-
jury. During congested schedules, recovery strategies are therefore required
to alleviate post-match fatigue, regain performance faster and reduce the risk
of injury. This article is Part I of a subsequent companion review and deals
with post-match fatigue mechanisms and recovery kinetics of physical per-
formance (sprints, jumps, maximal strength and technical skills), cognitive,
subjective and biochemical markers. The companion review will analyse re-
covery strategies used in contemporary professional soccer. Soccer involves
many physically demanding activities including sprinting, changes in running
speed, changes of direction, jumps and tackles, as well as technical actions
such as dribbling, shooting and passing. These activities lead to a post-match
fatigue that is linked to a combination of dehydration, glycogen depletion,
muscle damage and mental fatigue. The magnitude of soccer match-induced
fatigue, extrinsic factors (i.e. match result, quality of the opponent, match
location, playing surface) and/or intrinsic factors (i.e. training status, age,
REVIEW ARTICLE Sports Med 2012; 42 (12): 997-1015
0112-1642/12/0012-0997/$49.95/0
Adis ª2012 Springer International Publishing AG. All right s reserved.
gender, muscle fibre typology), potentially influence the time course of re-
covery. Recovery in soccer is a complex issue, reinforcing the need for future
research to estimate the quantitative importance of fatigue mechanisms and
identify influencing factors. Efficient and individualized recovery strategies
may consequently be proposed.
1. Introduction
In elite soccer, the number of competitive match-
es per season, including domestic, continental
and international matches, is very high. During
the 200910 season ending with the Fe
´de
´ration
Internationale de Football Association (FIFA)
World Cup in South Africa, several Spanish
players played up to 70 competitive matches.
Participation in a single match leads to acute fa-
tigue characterized by a decline in physical per-
formance over the following hours and days.
[1,2]
Several studies have reported that more than
72 hours are required to achieve pre-match values
for physical performance, as well as normalizing
muscle damage and inflammation among elite,
[1,2]
first- and second-division players.
[3-5]
During peri-
ods where the schedule is particularly congested
(i.e. two matches per week over several weeks),
the recovery time allowed between two successive
matches lasts 34 days, which may be insufficient
to restore normal homeostasis within players. As
a result, players may experience acute and chronic
fatigue potentially leading to underperformance
and/or injury. Ekstrand et al.
[6]
showed that
players who ‘underperformed’ at the 2002 FIFA
World Cup had played a mean of 12.5 matches
during the 10 weeks before the event. In compar-
ison, those who performed above expectations had
only played nine matches over the same period.
In addition, Dupont et al.
[7]
reported a 6.2-fold
higher injury rate in players who played two
matches per week compared with those who played
only one match per week. During congested
schedules, recovery strategies are commonly used
in an attempt to regain performance faster and
reduce the risk of injury.
A soccer match leads to a physical perfor-
mance decrement associated with the disturbance
of psychophysiological parameters that progres-
sively return to initial values during the recovery
process. This article is Part I of a subsequent
companion review and deals with (i) post-match
fatigue mechanisms; and (ii) recovery kinetics of
physical performance, subjective and biochemical
markers. The companion review will analyse re-
covery strategies used by professional soccer teams.
This review is justified, given the requirements to
recover quickly in order to play mid-week match-
es or to train hard quicker. It aims to present a
pertinent synthesis of research on the fatigue ac-
cumulated in elite players following a soccer match
and the subsequent recovery process, including
the influence of intrinsic and extrinsic factors on
the time course of recovery. It also aims to iden-
tify relevant markers for future research.
2. Post-Match Fatigue
Soccer involves many physically demanding
activities including sprinting, changes in direction
and running speed, jumps and tackles, as well as
technical actions such as dribbling, shooting and
passing. In performing these activities, a decline
in performance known as fatigue can occur. Gen-
erally, fatigue is defined as any decline in muscle
performance associated with muscle activity.
[8]
In
soccer, fatigue occurs temporarily after short-
term intense periods in both halves; towards the
end of the match
[9]
and after the match. Rampinini
et al.,
[10]
for example, observed reductions in knee
extensor maximal voluntary activation and elec-
tromyographical activity (-8%;p<0.001 and
-12%;p=0.001, respectively) and knee extensor
peak torque responses to paired stimulations at
10 Hz (-9%;p<0.001) after a match. As mechan-
isms that cause fatigue during a match have already
been reviewed,
[9,11]
this section focuses mainly on
the potential mechanisms that contribute to post-
998 Ne
´de
´lec et al.
Adis ª2012 Springer International Publishing AG. All rights reserved. Sports Med 2012; 42 (12)
match fatigue. Match-related fatigue is deter-
mined by a combination of central and peripheral
factors.
[10,12]
The decline in performance observ-
ed at the end of a match arises from a combina-
tion of several factors involving mechanisms
from the central nervous system to the muscle cell
itself and energy production.
[13]
2.1 Dehydration
A negative fluid balance is a common feature
observed after soccer matches, given that the soccer
rules limit the opportunity for players to rehy-
drate. The level of dehydration depends upon
climatic and atmospheric conditions (weather,
wind, temperature, humidity and altitude). After
a match played in a hot environment (31.2
31.6C), Mohr et al.
[14]
reported a net fluid loss of
mean standard error of mean (SEM) 1.5 0.1 l
or more than 2%of the initial body mass. In ad-
dition, a significant correlation (r =0.73; p <0.05)
was observed between the net fluid loss during the
match and the fatigue index in a post-match
sprint test. Moderate fluid deficits corresponding
to ~2%of body mass are common even in soccer
matchesplayedinthermoneutral conditions.
[1,15]
Although moderate dehydration does not impair
anaerobic performance,
[16,17]
technical ability
[17]
and cognitive performance,
[18,19]
some studies have
shown that moderate fluid loss is detrimental to
endurance exercise performance.
[20-22]
As dehy-
dration is associated with impaired endurance
performance, the time to rehydrate appears cru-
cial. After intermittent cycling exercise leading to
a dehydration of 2%of body mass, the main
factors that influenced post-exercise rehydration
processes were the volume (150%of sweat loss)
and composition of the fluid consumed (sodium
concentration: 61 mmol/L).
[23]
It is likely that
dehydration plays a limited role in post-soccer
match fatigue, as the time to rehydrate is rela-
tively short (6 hours) as long as guidelines are
respected.
[23]
Nevertheless, rehydration appears a
determinant factor during the post-match re-
covery process, as loss of intracellular fluid volume
reduces rates of glycogen and protein synthesis,
while high-cell volume contributes to stimulate
these processes.
[24,25]
2.2 Glycogen Depletion
In a soccer player, muscle glycogen is probably
the most important substrate for energy produc-
tion and the decrement in high-intensity distance
frequently observed at the end of a match
[26,27]
may be related to depletion of glycogen in some
muscle fibres.
[11,28-30]
Krustrup et al.
[29]
reported
that before three matches played by 31 fourth divi-
sion Danish players, most of all fibres (mean
SEM 73 6%) were rated as full with glycogen,
whereas this value was lower (p <0.05) after match
(mean SEM 19 4%). According to these au-
thors, it is possible that such a depletion of gly-
cogen in some fibres does not allow for a maximal
effort in single and repeated sprints. The time
course of muscle glycogen repletion after a high-
level soccer match is between 2 and 3 days. Jacobs
et al.
[28]
showed that muscle glycogen concentra-
tion with eight Swedish top-level players was about
50%of the pre-match value 2 days after a match.
Krustrup et al.
[30]
observed that even when seven
first- and second-division Danish players ingested
a diet high in carbohydrates, muscle glycogen
contents immediately and 24 hours after a match
were 43%(p <0.001) and 27%(p <0.001) lower
than pre-match values, respectively. Forty-eight
hours after the match, the glycogen level was not
significantly different (-9%;p=0.096) to pre-
match values.
2.3 Muscle Damage
During a soccer match, intense activities, such
as sprints with short distances of deceleration in
order to stop or change direction,
[31]
kick ball,
[32]
shots on goal,
[32]
tackles,
[32]
maximal jumps
[32,33]
or direct contacts with opposing players,
[32]
are
repetitively performed. These activities involve
many eccentric muscle contractions and have the
potential to induce muscle damage.
[34-36]
Indeed,
changes in direction, accelerations and decelera-
tions are particularly damaging to muscle. In a
comparison of the impact of the soccer-specific
Loughborough Intermittent Shuttle Test (LIST)
[37]
versus a soccer match on muscle damage, Magalha
˜es
et al.
[5]
explained the absence of additional signs
of muscle damage in the match when compared
Soccer Recovery: Part I Post-Match Fatigue 999
Adis ª2012 Springer International Publishing AG. All rights reserved. Sports Med 2012; 42 (12)
with LIST by the number of turns, including ac-
celerations and decelerations in the LIST. Ec-
centric muscle contractions during these activities
are considerable and may explain the marked
increase in both muscle soreness and markers
of muscle damage observed after the LIST.
[38]
A topic of interest for future studies may be the
comparison of the impact of a soccer match and
simulated soccer exercise
[12,39,40]
on muscle damage
markers. Because simulated soccer exercises do
not include activities such as contact, jumps,
tackles and shots present during a match, these
comparisons may help to identify activities that
are particularly damaging to muscles. More in-
dividualized recovery strategies could be devised
on the basis of muscle-damaging activities per-
formed during the match.
[41]
Exercises to which
players are unaccustomed can also induce muscle
damage.
[42]
Consequently, when players stop or
reduce practice during off-season or during an
injury period, the restart is likely to be characterized
by higher muscle damage.
Muscle damage is ascribed to mechanical dis-
ruption of the fibre, including membrane dam-
age, myofibrillar disruptions characterized by
myofillament disorganization and loss of Z-disk
integrity,
[43]
while subsequent damage is linked to
inflammatory processes and to changes in ex-
citation-contraction coupling within muscles.
[42]
The severity of the muscle damage varies from
microinjury of a small number of fibres to disrup-
tion of a whole muscle. Muscle damage is char-
acterized by a temporary decrease in muscle
function, an increase in intracellular proteins in
blood, increased muscle soreness and an in-
creased swelling of the involved muscle group.
[44]
Consequently, the main following markers are
currently used to study muscle damage: maximal
voluntary contraction strength, blood markers such
as creatine kinase (CK) and myoglobin concentra-
tions, muscle pain, range of motion and swelling.
Muscle damage can also disturb the time course
of mechanisms linked to performance recovery
after a soccer match. Asp et al.
[45]
observed that
2 days after eccentric exercise, the glycogen con-
tent of damaged muscle was lower compared with
control muscle (mean SEM 402 30 mmoL/kg
dry weight [dw] vs 515 26 mmoL/kg dw; p <0.05)
with a predominant effect on fast-twitch fibres.
The mechanisms for the impaired glycogen
synthesis following eccentric exercise remain un-
known but the time course of muscle glycogen
synthesis after eccentric exercise might be re-
lated to the inflammatory cell response to muscle
damage.
[46]
In summary, the repetition of changes of di-
rection, accelerations and decelerations through-
out a soccer match induces muscle damage leading
to a marked inflammatory response and asso-
ciated upregulated oxidative stress during recovery.
The resulting structural changes in proteins im-
portant for force production may cause reduced
maximal force-generating capacity and impaired
physical performance during the hours and days
following the match. Any delay in the repair of
muscle damage may additionally impact the out-
come of several mechanisms taking place during
recovery. As a consequence, muscle damage is
likely a major factor to consider in an attempt to
explain post-soccer match fatigue.
2.4 Mental Fatigue
Participating in a soccer match leads to a
physiological disturbance but also induces psy-
chological stress on players due to the need for
sustained concentration, perceptual skills and
decision making combined with opponent pressure
during the match. During a match, the playing
environment is constantly changing, players must
pick up information regarding the ball, team-
mates and opponents before deciding on an ap-
propriate response based upon current objectives
(e.g. strategy, tactics) and action constraints (e.g.
technical ability, physical capacity).
[47]
Working
on cognitively demanding tasks for a consider-
able time often leads to mental fatigue, which can
impact performance. Numerous studies
[48-50]
re-
ported that fatigued participants are still able to
perform highly over-learned, automatic skills,
whereas their performance significantly deterio-
rates when tasks require the voluntary allocation
of attention. Greig et al.
[51]
examined the cumu-
lative effect of completing a continuous vigilance
task on the physiological responses to soccer-
specific intermittent activity. They observed that
1000 Ne
´de
´lec et al.
Adis ª2012 Springer International Publishing AG. All rights reserved. Sports Med 2012; 42 (12)
performance of a vigilance task, quantified as the
number of errors, deteriorated significantly dur-
ing the final 30 minutes of the second half. Mental
fatigue may also impact physical performance.
Marcora et al.
[52]
measured tolerance to high-
intensity cycling exercise (i.e. time-to-exhaustion
test at 80%peak power output) after 90 minutes
of a demanding cognitive task or 90 minutes of
watching emotionally neutral documentaries act-
ing as a control. They showed that the cognitive
task induced a state of mental fatigue that sig-
nificantly (p <0.01) reduced time to exhaustion
compared with the control condition (-15%).
Studies examining the influence of soccer exercise
on cognitive performance have demonstrated
conflicting results.
[18,22,51,53,54]
Discrepancies be-
tween studies may be explained by physiological
changes occurring during exercise (e.g. plasma
glucose levels, core temperature and level of
hydration) that may all affect cognitive perfor-
mance
[18]
and/or the effect of exercise-induced
physical arousal on cognitive performance.
[51,54]
Moreover, these studies selected different cogni-
tive tests with varying sensitivity to test different
aspects of the cognitive function. Finally, the in-
fluence of learning processes with the task pro-
cedures on results should not be excluded.
[53]
It is
important that future studies take into account
all these parameters to accurately evaluate the
influence of soccer match-induced mental fatigue
on the recovery time course of both cognitive and
physical performance.
The inconvenience and stress of travel is an-
other factor that may increase mental fatigue in
players. Reported detrimental effects of travel on
team-sport performance may be explained by the
disruption of circadian rhythms (jet lag or arrival
during the night) and/or the process of travel,
along with the associated stress, restricted mo-
tion, unfamiliar sleeping surroundings leading to
sleep disturbances
[55]
and poorer quality of sleep.
[56]
When the competitive fixture list is congested,
there may be insufficient time in between matches
for participants to recover their psychological
resources,
[57]
potentially leading to lack of moti-
vation and mental burnout. In a literature review,
Nederhof et al.
[58]
stated that chronic fatigue af-
fects cognitive performance.
Match outcome (win vs loss) may also influ-
ence mood state and affect mental fatigue post-
match. Further study could investigate the effect
of match result on the mental recovery process
and also be included in the studies focusing on the
theme of mental fatigue. Future studies are also
needed to determine how acute mental fatigue
induced by a soccer match and/or chronic fatigue
induced by congested calendar and travel impact
post-match fatigue.
2.5 Summary
Post-soccer match fatigue has many potential
causes (dehydration, glycogen depletion, muscle
damage, mental fatigue). Because recovery of muscle
function is chiefly a matter of reversing the major
cause of fatigue, focus for the future may be to
identify the mechanism(s) that contribute(s) to
post-soccer match fatigue and estimate their quan-
titative importance. Recovery strategies may con-
sequently be targeted against the major cause of
fatigue.
3. Time Course of Recovery Markers
Post-soccer match fatigue is characterized by
a decline in physical performance during the hours
and days following the match (tables I to IV).
Recovery is considered complete when the player
is able to reach or exceed his benchmark perfor-
mance in a particular activity.
[70]
During congested
periods, the recovery time between two successive
matches lasts 72 hours, which may be insufficient
to normalize physical performance.
[1,3-5]
In this
section, the magnitude of fatigue induced by soccer
match and the relevance of markers to track the
recovery process is reviewed.
3.1 Magnitude of Fatigue
The time course of physical performance re-
covery following competitive match, friendly
match and simulated soccer exercise is presented
in tables IIV. Sprint performance is impaired
immediately after exercise by -2%to -9%(table I).
Thereafter, the recovery of sprint performance
differs largely between studies with completed
recovery occurring between 5
[1]
and 96 hours.
[2]
Soccer Recovery: Part I Post-Match Fatigue 1001
Adis ª2012 Springer International Publishing AG. All rights reserved. Sports Med 2012; 42 (12)
When tested immediately after exercise, jump
performance decrement ranges from no decre-
ment to -12%(table II). Jump performance
completely recovered from 48 hours
[2,4]
to more
than 72 hours after the exercise.
[1,5]
Several stud-
ies have used the maximal voluntary strength
of knee flexors/extensors as a recovery mark-
er.
[1,3,5,40,59,63,67,68]
Irrespective of contraction
mode (concentric/eccentric) and speed of assess-
ment, the strength decrement of knee flexors im-
mediately after exercise ranges from no decrement
to -36%(table III); and the strength decrement of
knee extensors immediately after exercise ranges
from no decrement to -25%(table IV).
Several extrinsic/intrinsic causes are suscep-
tible to explain differences between studies in the
magnitude of acute exercise-induced performance
decrement and the subsequent recovery time course
of performance. First, several studies have pointed
out the high variability and poor reliability of
physical performance such as high-intensity run-
ning distance during soccer matches.
[7,27,71]
Phys-
ical performance depends not only on the fitness
level but also on match contextual factors, such
as match status (i.e. whether the team is winning,
losing or drawing),
[72]
quality of the opponent
(strong or weak)
[72]
and match location (i.e. play-
ing at home or away).
[72]
The nature of the match
(i.e. friendly, domestic, continental or interna-
tional) may similarly influence the number and
intensity of runs, collisions carried out by players
during the match, as well as the intensity of sus-
tained concentration. Other extrinsic factors po-
tentially influencing the work rate of players are
the climatic conditions and type of terrain (e.g.
grassy, muddy, snowy, artificial).
[73]
Differences
in the pattern of soccer activities such as accel-
erations and decelerations, changes of direction
[74]
and type of playing surface may possibly influ-
ence the match-induced strain on muscles and the
time course of recovery. Collectively, all these
factors contribute to an amount of fatigue that
Table I. Recovery time course for single sprint and repeated-sprint ability following soccer-specific exercise
a
Study Subjects Soccer-specific
exercise
Performance
task
Time (hours after soccer-specific exercise)
b
0 5 21 24 27 45 48 51 69 72
Sprint
Andersson et al.
[1]
9 elite F Soccer match 20 m 3.0 NS NS NS NS NS
Ascensa
˜o et al.
[3]
16 trained M Soccer match 20 m ~7.0 ~6.0 ~5.0 ~5.0
Fatouros et al.
[4]
20 m ~8.0 ~5.0 ~3.0
Ispirlidis et al.
[2]
14 elite M Soccer match
(68 min)
20 m 2.0 2.5 1.6
Magalha
˜es et al.
[5]
16 trained M Soccer match 20 m ~9.0 ~7.0 ~6.0 ~5.0
Rampinini et al.
[10]
20 elite M Soccer match 40 m ~3.0 ~1.0 NS
Ingram et al.
[59]
11 trained M Simulated team
sport exercise
[60]
20 m 1.7
Magalha
˜es et al.
[5]
16 trained M LIST
[37]
20 m ~5.0 ~1.0 ~1.0 ~1.0
RSA
Krustrup et al.
[29]
11 trained M Soccer match 5 ·30 m 2.8
Krustrup et al.
[61]
14 elite F Soccer match 3 ·30 m 4
Mohr et al.
[62]
16 trained M Soccer match 3 ·30 m 2
Bailey et al.
[63]
10 trained M LIST
[37]
11 ·15 m NS
Ingram et al.
[59]
11 trained M Simulated team
sport exercise
[60]
10 ·20 m NS
a Blank cells indicate no data reported.
b Data presented are means (%).
F=female; LIST =Loughborough Intermittent Shuttle Test
[37]
;M=male; NS =non-significant; RSA =repeated-sprint ability; indicates
increase.
1002 Ne
´de
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may greatly vary from one match to another.
Second, intrinsic causes such as training status,
age,
[75]
gender and muscle fibre typology
[76]
may
explain inter-individual differences in recovery
potential among players in the same team. Iden-
tifying these intrinsic factors is a prelude to the
development of individualized recovery proto-
cols. Finally, the physical tests (volume, intensity,
order) performed during the recovery process
could also explain the discrepancies between
studies on recovery time courses and will be stud-
ied in the next section.
3.2 Relevance of Recovery Markers
The battery of tests performed during the re-
covery process can affect the recovery time
course. Numerous hard and long physical tests
performed at frequent intervals could induce a
cumulative fatigue altering the recovery kinetics
of the initial exercise. In this respect, a control
group with players performing physical tests but
not the initial exercise should be implemented in
studies.
[2]
An appropriate battery of tests should
not affect the initial recovery process caused by
the experimental condition (i.e. the match).
A balance has to be found between the number,
the frequency and the order of the tests to make
sure these do not affect the following results.
Familiarization with both the experimental con-
dition and the battery of tests is another essential
step to analyse recovery kinetics. In addition, in-
vestigators should check the fatigue induced by
their test battery during the pre-test in order to
make sure it does not lead to additional fatigue,
as well as the reliability of the tests selected. The
balance between validity of the recovery marker
and its relevance to track the recovery process is
another issue to be resolved. For example, 20 m
sprint performance is the most ecologically
valid
[77]
recovery marker of sprint ability, since the
mean duration of a sprint during an elite soccer
match is 2 seconds or about 17 m.
[78]
However,
sprinting over 20 m is insufficient to achieve maxi-
mal speed. Conversely, the isolation of muscle
groups during maximal voluntary strength assess-
ment reduces the validity of the measurements in
regard to the performance of multijoint movements,
Table II. Recovery time course for jump performance following soccer-specific exercise
a
Study Subjects Soccer-specific exercise Performance
task
Time (hours after soccer-specific exercise)
b
0 5 21 24 27 45 48 51 69 72
Andersson et al.
[1]
9 elite F Soccer match CMJ 4.4 ~2.0 ~4.0 ~2.0 ~2.0 ~2.0 ~3.0
Fatouros et al.
[4]
20 trained M Soccer match CMJ 10.0 NS NS
Ispirlidis et al.
[2]
14 elite M Soccer match (68 min) CMJ 9.3 NS NS
Krustrup et al.
[61]
15 elite F Soccer match CMJ NS
Magalha
˜es et al.
[5]
16 trained M Soccer match CMJ ~12.0 ~8.0 ~8.0 ~8.0
Thorlund et al.
[64]
9 elite M Soccer match CMJ NS
Bailey et al.
[63]
10 trained M LIST
[37]
SJ ~2.8 ~5.6
Magalha
˜es et al.
[5]
16 trained M LIST
[37]
CMJ ~12.0 ~10.0 ~9.0 ~10.0
Oliver et al.
[65]
10 trained M NMT CMJ 10.4
SJ 4.9
Robineau et al.
[12]
8 trained M Soccer match modelling CMJ NS
Robineau et al.
[12]
8 trained M Soccer match modelling SJ 8.0
a Blank cells indicate no data reported.
b Data presented are means (%).
CMJ =countermovement jump; F=female; LIST =Loughborough Intermittent Shuttle Test
[37]
;M=male; NMT =non-motorized treadmill; NS =nonsignificant; SJ =squat jump;
indicates decrease.
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Table III. Recovery time course for knee flexor maximal voluntary strength following soccer-specific exercise
a
Study Subjects Soccer-specific
exercise
Performance
task (/sec)
Time (hours after soccer-specific exercise)
b
0 5 21 24 27 45 48 51 69 72
Andersson et al.
[1]
9 elite F Soccer match K FL CON (60) 9.4 ~4.0 ~4.0 ~6.5 NS NS
Ascensa
˜o et al.
[3]
16 trained M Soccer match K FL CON (90) ~15.0 ~14.0 ~10.0 ~8.0
Magalha
˜es et al.
[5]
16 trained M Soccer match K FL CON (90) ~15.0 ~15.0 ~11.5 ~7.0
Thorlund et al.
[64]
9 elite M Soccer match K FL (0) 7.0
Bailey et al.
[63]
10 trained M LIST
[37]
K FL (0) 21.0 14.0
Delextrat et al.
[66]
8 trained M LIST
[37]
K FL CON (60) 17.7
K FL CON (180) 36.4
K FL ECC (60) 31.4
K FL ECC (180) 26.2
Delextrat et al.
[39]
14 trained F LIST
[37]
+shots K FL ECC (120) NS
Greig
[67]
10 elite M MT K FL CON (60) NS
K FL CON (180) NS
K FL CON (300) NS
K FL ECC (180) 19.0
K FL ECC (300) 24.0
Ingram et al.
[59]
11 trained M Simulated team
sport exercise
[60]
K FL (0) 8.4
Magalha
˜es et al.
[5]
16 trained M LIST
[37]
K FL CON (90) ~17.5 ~16.0 ~13.7 ~8.7
Rahnama et al.
[68]
13 trained M MT K FL CON (60) 17.3
K FL CON (120) 15.2
K FL CON (300) 15.0
K FL ECC (120) 16.8
Robineau et al.
[12]
8 trained M Soccer match
modeling
K FL (0) 8.2
K FL CON (60) 12.3
Small et al.
[40]
16 trained M SAFT90
[69]
K FL CON (120) NS
K FL ECC (120) 16.8
a Blank cells indicate no data reported.
b Data presented are means (%).
CON =concentric; ECC =eccentric; F=female; KFL=knee flexors; LIST =Loughborough Intermittent Shuttle Test
[37]
;M=male; MT =motorized treadmill; NS =nonsignificant;
SAFT90 =90 min soccer-specific aerobic field test;
[69]
indicates decrease.
1004 Ne
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but it increases the reliability of the assessment.
In this section, physical performance and sub-
jective and biochemical markers frequently used
in studies related to soccer are reviewed, with em-
phasis on their relevance for tracking the recovery
process.
3.2.1 Physical Performance Markers
A computerized literature search was per-
formed in PubMed in April 2012. The following
keywords were used in different combinations:
‘soccer’, ‘football’, ‘recovery’, ‘test’, ‘sprint’, ‘jump’,
‘flexibility’, ‘range of motion’, ‘stiffness’, ‘endur-
ance’, ‘aerobic’, ‘passing’, ‘shooting’, ‘dribbling’,
‘juggling’, ‘skill’ and ‘technical’. The physical per-
formance markers proposed were retrieved for
review on the basis of their relevance in respect to
soccer performance and their reliability.
Sprints, Repeated-Sprint Ability and Agility
Short-sprinting performance is an important
determinant of match-winning actions. A dis-
tance of 20 m is most commonly used to assess the
ability of players to sprint during recovery after a
soccer match (table I). The energy provision dur-
ing a single sprint is different to that in repeated
sprints performed in an intermittent exercise
pattern.
[79]
Significant correlations were found
Table IV. Recovery time course for knee extensor maximal voluntary strength following soccer-specific exercise
a
Study Subjects Soccer-specific
exercise
Performance
task (/sec)
Time (hours after soccer-specific exercise)
b
0 5 21 24 27 45 48 51 69 72
Andersson et al.
[1]
9 elite F Soccer match K EX CON (60) 7.1 ~2.5 ~6.5 NS NS NS
Ascensa
˜o et al.
[3]
16 trained M Soccer match K EX CON (90) ~10.0 ~10.0 ~6.5 ~4.0
Magalha
˜es et al.
[5]
16 trained M Soccer match K EX CON (90) ~7.3 ~7.3 ~6.1 ~4.7
Rampinini et al.
[10]
20 elite M Soccer match K EX (0) ~11.0 ~6.0 NS
Thorlund et al.
[64]
9 elite M Soccer match K EX (0) 11.0
Bailey et al.
[63]
10 trained M LIST
[37]
K EX (0) NS NS
Delextrat et al.
[66]
8 trained M LIST
[37]
K EX CON (60) 16.6
K EX CON (180) 13.7
Delextrat et al.
[39]
14 trained F LIST
[37]
+shots K EX CON (120) NS
Greig
[67]
10 elite M MT K EX CON (60) NS
K EX CON (180) NS
K EX CON (300) NS
Ingram et al.
[59]
11 trained M Simulated
team sport
exercise
[60]
K EX (0) 5.2
Magalha
˜es et al.
[5]
16 trained M LIST
[37]
K EX CON (90) ~9.5 ~10.5 ~8.5 ~7.0
Rahnama et al.
[68]
13 trained M MT K EX CON (60) 15.5
K EX CON (120) 8.2
K EX CON (300) 8.5
K EX ECC (120) 6.8
Robineau et al.
[12]
8 trained M Soccer match
modelling
K EX (0) 18.5
K EX CON (60) 12.2
K EX ECC (60) 25.4
Small et al.
[40]
16 trained M SAFT90
[69]
K EX CON (120) NS
a Blank cells indicate no data reported.
b Data presented are means (%).
CON =concentric; ECC =eccentric; F=female; KEX=knee extensors; LIST =Loughborough Intermittent Shuttle Test
[37]
;M=male;
MT =motorized treadmill; NS =nonsignificant; SAFT90 =90 min soccer-specific aerobic field test;
[69]
indicates decrease.
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between repeated-sprint ability test mean time, and
very high-intensity running (p <0.01) and sprint-
ing distance (p <0.01) quantified during official
matches using a computer-aided motion analysis
system.
[80]
Repeated-sprint ability tests may con-
sequently be used during the recovery process to
verify if a player is able to meet the high intermittent
demands of a soccer match after play. Various
repeated-sprint ability tests have been proposed
in the literature: six 20 m maximal sprints on a
15-second cycle;
[81]
the repeated-shuttle-sprint ability
(6 ·40 m sprints with 20 seconds of recovery be-
tween sprints);
[82]
the Bangsbo sprint test (7 ·34.2 m
sprints with 25 seconds of active recovery periods
between sprints);
[83]
Baker’s 8 ·40 m sprint test;
[84]
the Intermittent Anaerobic Running Test (IAnRT;
10 ·20 m sprints with 20-second recovery periods
between the sprints);
[85]
the Carminatti’s test (re-
peated bouts of 5 ·12-second shuttle running at
progressively faster speeds until volitional ex-
haustion)
[86]
were all found to be reliable with
coefficients of variation (CV) inferior to 10%and
intraclass correlation coefficients (ICC) superior
to 0.80.
[87]
However, a repeated-sprint ability test
is a more reliable method when results are ex-
pressed as the total sprint time rather than fatigue
data.
[81,88,89]
Repeated-sprint ability tests are physi-
cally exhausting, which may explain the paucity
of studies investigating the recovery time course
of repeated-sprint ability (table I).
[59,63]
The use of
repeated-sprint tests with fewer sprints
[61,62]
may
be easier to implement during the recovery pro-
cess. Further studies are still required to compare
the recovery time course of repeated-sprint ability
and single sprint in professional soccer players.
Analysis of the time-recovery course of agility
would also be pertinent.
[90]
Jumps
Jumping performance is an important deter-
minant of success in soccer.
[91]
Squat jump (SJ)
and countermovement jump (CMJ) are the main
jumps generally assessed after a soccer match
(table II) and are easy and quick to implement in
order to test anaerobic qualities. Vertical jumping
height correlates well with maximal strength in half
squats (r =0.78; p <0.02), 10 m (r =0.72; p <0.001)
and 30 m sprint time (r =0.60; p <0.01).
[92]
Moir
et al.
[93]
reported that the test-retest reliability for
SJ and CMJ was high: ICC ranged from 0.89 to
0.95, while CV ranged from 1.9%to 2.6%. For
measurement accuracy this test has to be assessed
by a portable force plate and, to a lesser extent,
by a contact mat;
[94]
jump testing procedures
have to be standardized
[95]
and a standardized
warm-up before CMJ testing should not include
static stretching.
[96-98]
An SJ test uses a concentric-
only action while a CMJ test uses a stretch-
shortening cycle (SSC), with differences in the
recovery kinetics between conditions.
[99,100]
Stretch-
shortening-cycle recruitment is strongly implicated
with exercise fatigue.
[101]
As soccer match play
involves many SSC actions, CMJ performance
may be more appropriate to verify if a player is
ready to meet the demands of the match. Other
jump tests have been proposed in the literature.
The five-jump test (five forward jumps with al-
ternating left- and right-leg contacts)
[102]
may be
an explosive strength diagnostic tool to estimate
changes in neuromuscular fatigue in athletes
who complete substantial ‘on legs’ training.
[103,104]
Triple-hop distance test (three maximal hops
forward on the dominant limb) and the test pro-
posed by Bosco et al.
[105]
(maximal number of
jumps performed during a certain period of time)
are also useful and reliable tests to predict an
athlete’s lower limb strength and power.
[106,107]
Maximal Voluntary Strength
Match-related fatigue that induces impairment
of maximal voluntary strength is determined by a
combination of central and peripheral factors
both immediately after the match and during the
recovery process.
[10,12]
Central fatigue appears to
be the main cause of the decline in maximal vol-
untary strength, while peripheral fatigue seems
to be more related to muscle damage and inflam-
mation.
[10]
Repetition of changes of direction, ac-
celerations and decelerations throughout a soccer
match induces muscle damage. Warren et al.
[108]
stated that measurement of maximal voluntary
contraction torque provides the best method for
quantifying muscle damage as it is accurate and
reliable. Many authors have reported a greater
loss of strength in the knee flexors, compared
with the knee extensors after fatigue induced by
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soccer-specific exercise.
[39,40,66-68]
The fact that
knee flexors are particularly prone to fatigue in
soccer may explain why these muscles are com-
monly strained in soccer (12%of the total in-
juries),
[109]
with the greatest injury rate occurring
in the two 15-minute periods at the end of both
halves.
[110]
Many authors performed the isokinetic
test on the dominant leg only.
[1,3,5,40,59,63,67]
A justification may be that a greater number of in-
juries are sustained to the players’ dominant side
compared with the non-dominant side (50%vs
37%;p<0.01).
[110]
Greig
[67]
reported the test-retest
reliability of peak concentric knee extensor/flexor
torque and peak eccentric knee flexor torque at
isokinetic speeds of 60, 180and 300/second.
The reliability was good (ICC >0.75) to excel-
lent (ICC >0.90) with low-velocity measures (i.e.
60/second) proven to be the most reliable. How-
ever, these velocities are still far away from mul-
tijoint movement velocities, with velocity as high
as 970/second reported for knee flexion during
sprinting.
[111]
Differences in reliability also exist
between flexion and extension. In a meta-analytic
review, Hopkins et al.
[112]
reported a higher CV
for flexion than extension isokinetic tests leading
to a ratio of CV for flexion/extension equal to 1.3.
Extension is consequently a more reliable mode
of isokinetic movement than flexion. The func-
tional ratio between the eccentric strength of the
knee flexors and the concentric strength of the
knee extensor muscles has been considered to be
indicative of the joint-stabilizing effect of the
knee flexors during knee extension.
[113]
Simulated
soccer exercise results in significant reductions in
the functional hamstrings-to-quadriceps ratio
ranging from 8.0%to 29.8%between the start
and end of the exercise.
[39,40,66-68]
This ratio could
be used to estimate the player’s injury risk during
recovery from a soccer match.
Flexibility
Contradictory findings have been reported in
the literature concerning the effect of flexibility
on performance and injury rate.
[114]
However, as
range of motion provides a reliable means of
quantifying the functional decrements resulting
from muscle damage,
[108]
the use of various reliable
flexibility tests (i.e. sit and reach, back-against-
the-wall v-seat and reach test, leg lift from supine
position, backward leg lift from a prone position,
straddle in supine position and lateral leg lift
while lying on the side) should be encouraged in
future studies.
[115]
There is currently a paucity of
data in the literature regarding the recovery time
course of flexibility after a soccer match. Ispirlidis
et al.
[2]
used knee range of motion as a recovery
marker. They reported that the knee range of
motion was decreased within the 48-hours post-
match. Cone et al.
[116]
did not find time-related
changes in lower extremity vertical stiffness in
jumping after a soccer match simulation.
Aerobic Performance
As a result of the match duration, soccer is
mainly dependent upon aerobic metabolism with
the maximal oxygen uptake in male outfield players
varying from about 5075 mL/kg/min.
[117]
The
assessment of aerobic performance during the
recovery process after a soccer match requires
careful consideration due to the fatigue induced
by such tests. Future studies are required to propose
indirect evaluation of aerobic fitness using other
protocols such as repeated-sprint tests.
[118-120]
A topic of interest may also be to determine if
aerobic fitness can influence the recovery time
course of anaerobic markers during the hours
and days following a match.
Technical Skills
Success in soccer match play is associated
with performance in skill-related actions, such as
dribbling, passing and shooting.
[121,122]
Russell
and Kingsley
[122]
extensively reviewed soccer skill
tests, which can be categorized into tests that as-
sess ball control and tests that measure ball ac-
curacy. Ali et al.
[123]
assessed the reliability of the
Loughborough Soccer Passing Test (LSPT) and
the Loughborough Soccer Shooting Test (LSST)
two common tests that measure ball accuracy
among elite players. They reported that shooting
is the most variable skill since the LSST exhibited
ICC from 0.31 to 0.64 and CV from 3.5%to 49.4%,
depending on the variable whereas the LSPT ex-
hibited an ICC of 0.42 and a CV of 11.2%. The
high variability in shooting performance has also
been confirmed by other authors.
[124]
However,
shooting performance appears most susceptible
Soccer Recovery: Part I Post-Match Fatigue 1007
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to deterioration after exercise
[122,125-127]
than
dribbling
[126-128]
and passing for which equivocal
findings are reported.
[10,126,129-133]
These equivo-
cal findings may be linked to differences in the
standard of soccer players.
[10,129]
Fatigued play-
ers may actually be less likely to use the correct
technique and thus more likely to sustain a more
serious injury while performing poorly executed
actions.
[134]
The restoration of soccer-specific
skills during the recovery process and especially
shooting should be followed in future studies to
ensure that the recovery of players is adequate.
Summary
A battery of tests to track the recovery process
should include measures of physical performance.
[70]
The order of the tests is an important factor to
take into account: a battery of tests beginning
with brief anaerobic tests (e.g. CMJ, SJ) and fin-
ishing with exhausting tests (e.g. repeated sprints
or aerobic performance) seems appropriate. Evalua-
tion of other recovery markers (i.e. cognitive,
subjective and biochemical markers) is required
to investigate the underlying physiology and
mental component of the recovery process.
3.2.2 Cognitive Function
Perceptual abilities (such as reaction time,
decision making, visual scanning, spatial aware-
ness and anticipation) are required to execute
soccer-specific skills. Nederhof et al.
[58]
proposed
that demanding tasks of psychomotor speed (e.g.
the Vienna Determination Test performed under
time pressure) might be a relevant variable for the
early detection of disturbed stress regeneration
balance. Fatigue led to an increased number of
errors and an increase in reaction time.
[49]
Future
studies may investigate the influence of soccer
match-induced mental fatigue on the recovery
time course of psychomotor speed performance.
Consequently, psychomotor speed may poten-
tially be used as an additional recovery marker to
track the recovery process. However, steps to en-
sure familiarization should be carefully followed
so that the results can be considered stable and
reliable. Reliability of the tests should also be
checked before starting the experimentation.
3.2.3 Subjective Markers
Assessment of changes in subjective feelings of
muscle soreness also constitutes a pertinent mark-
er of recovery. It is important that subjects
are fully familiarized with any perceptual rating
scale. Since this is a highly individualized mea-
surement, it should be used primarily to detect
intra-individual changes. Studies related to recovery
from a soccer match measured the recovery time
course of subjective muscle soreness with em-
phasis on lower body muscles i.e. knee extensors
and flexors.
[2,4,38,59]
Soccer players exhibit pro-
nounced muscle soreness immediately post-
exercise. Muscle soreness usually peaks 2448 hours
after exercise, an exercise-induced phenomenon
referred to as delayed onset muscle soreness
(DOMS).
[135]
To account for the multifactorial
aspects of the recovery process, subjective ratings
of quality of sleep, fatigue and stress may be ad-
ditionally assessed.
[136]
Kentta
¨and Hassme
´n
[137]
developed the total quality of recovery scale to
measure psychophysiological recovery (i.e. mood
states and body signals such as sensations of
soreness or heaviness). The daily analysis of life
demands for athletes questionnaire is also a use-
ful non-fatiguing measure that can be used to
monitor general changes in the fatigue and re-
covery states.
[104]
3.2.4 Biochemical Markers
Muscle proteins CK and myoglobin leak into
the plasma from skeletal muscle fibres when they
are damaged. Immediately after exercise, rises in
CK concentration range from +70%to +250%,
peak at 2448 hours after the match and return to
baseline between 48 and 120 hours after depend-
ing on the magnitude of the peak: the higher the
peak, the longer the time to return to baseline
(table V). Discrepancies between studies may be
due to the nature of the protocol (i.e. contact or
noncontact exercise).
[139]
Although the validity of
CK as a marker of muscle damage is question-
able,
[38,108,140]
CK is used widely as the magnitude
of increase is so great relative to other proteins.
Moreover, CK remains elevated for several days
in comparison to other proteins such as myoglobin
that normalizes before 24 hours post-exercise.
[3,5,63]
Professional soccer players participating in daily
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training have persistent high-resting CK values
that make the establishment of baseline values
difficult. In this respect, Mougios
[141]
introduced
valuable reference intervals for CK assayed
spectrophotometrically in male soccer players
(831492 U/Lat37C). Gender affects the refer-
ence interval for CK, with males having higher
reference limits than females but age (range 744)
does not seem to affect the reference interval.
[141]
Muscle damage initiates a local inflammatory
response involving the production of cytokines.
These cytokines facilitate a rapid and sequential
invasion of muscle by inflammatory cell popula-
tions that can persist for days to weeks while muscle
repair, regeneration and growth occur.
[142,143]
The
local production of cytokines is accompanied by
a systemic response known as the acute phase
response. Interleukin (IL)-6 is produced in larger
amounts than any other cytokine and has been
shown to precede that of other cytokines sug-
gesting that IL-6 plays an initial role in the cyto-
kine cascade.
[2,142,144,145]
IL-6 peaks immediately
after the match, rapidly declines towards pre-
exercise levels and is normalized 24-hours post-
match.
[2,146]
The increase in the acute phase
c-reactive protein (CRP) is more persistent with
elevation reported up to 48-hours post-exercise.
[59]
CRP may be more sensitive than CK, myoglobin
and lactate dehydrogenase to evaluate muscle dam-
age induced by contacts.
[147]
During a soccer match, high absolute levels of
mitochondrial oxygen consumption combined with
ischaemia-reperfusion events in skeletal muscle
lead to the generation of reactive oxygen species
Table V. Recovery time course for biochemical markers following soccer-specific exercise
a
Study Subjects Soccer-specific
exercise
Time (hours after soccer-specific exercise)
b
0 1 21 24 45 48 69 72 96 120 144
Creatine kinase
Andersson et al.
[1]
17 elite F Soccer match 152 ~190 ~70 NS
Ascensa
˜o et al.
[3]
16 trained M Soccer match ~75 ~300 ~300 ~200
Fatouros et al.
[4]
20 trained M Soccer match 200 350 600 500
Ispirlidis et al.
[2]
14 elite M Soccer match
(68 min)
154 400 710 637 358 NS NS
Magalha
˜es et al.
[5]
16 trained M Soccer match ~250 ~750 ~500 ~350
Rampinini et al.
[10]
20 elite M Soccer match 110 124 63
Bailey et al.
[63]
10 trained M LIST
[37]
~70 ~130 ~200 NS
Ingram et al.
[59]
11 trained M Simulated team
sport exercise
[60]
147 310 136
Magalha
˜es et al.
[5]
16 trained M LIST
[37]
~225 ~600 ~450 ~250
Thompson et al.
[38]
7 trained M LIST
[37]
108 283 94 NS
Uric acid
Andersson et al.
[1]
9 elite F Soccer match 11 NS NS NS
Andersson et al.
[138]
16 elite F Soccer match 11 NS NS NS
Ascensa
˜o et al.
[3]
16 trained M Soccer match ~50 ~15 ~15 ~20
Fatouros et al.
[4]
20 trained M Soccer match NS 34 47 NS
Ispirlidis et al.
[2]
14 elite M Soccer match
(68 min)
NS ~20 ~25 ~40 ~25 NS NS
Magalha
˜es et al.
[5]
16 trained M Soccer match ~75 NS NS NS
LIST
[37]
~25
a Blank cells indicate no data reported.
b Data presented are means (%).
F=female; LIST =Loughborough Intermittent Shuttle Test
[37]
;M=male; NS =nonsignificant; indicates increase.
Soccer Recovery: Part I Post-Match Fatigue 1009
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(ROS).
[3]
The inflammatory response to exercise-
induced muscle injury also enhances ROS gen-
eration.
[3]
The increase in ROS production may
overwhelm antioxidant capacity causing oxida-
tive stress. Uric acid is largely used as an oxida-
tive stress marker because it accounts for nearly
one-third of the total antioxidant capacity increase
during exercise.
[2]
Rises in uric acid concentra-
tions range from no increase to +75%immed-
iately after exercise and remain elevated up to
96 hours post-exercise (table V). In addition to
uric acid, changes in many oxidative stress mark-
ers and antioxidants have been studied following
a soccer match.
[2-5,138]
However, comparisons
across studies are difficult as the markers studied
are different.
Changes in hormones have also been studied
following a soccer match. In respect to cortisol,
conflicting results are present in the literature,
[2,148]
which may be explained by the large intraindividual
and interindividual variability in responses.
[148]
Testosterone concentrations among young soc-
cer players are still reduced 72 hours after play-
ing full competitive matches on consecutive
days whereas reductions in cortisol concentra-
tions were unclear.
[149]
Maso et al.
[150]
found that
it is more useful to follow variations in testoster-
one (an anabolic hormone) than variations in
cortisol (a catabolic hormone) to determine the
degree of tiredness in young international rugby
players.
In conclusion, biochemical markers are use-
ful to investigate the underlying physiology of
the recovery process. An ideal biochemical mark-
er should detect a major part of muscle damage,
inflammatory response or oxidative stress; the
CV between different assays of the same sample
should be small in comparison with the differ-
ence between subjects; its levels should not vary
widely in the same subjects under the same con-
ditions at different times; it must employ chemi-
cally robust measurement technology; it must
not be confounded by diet; and it should ideally
be stable on storage.
[151]
Since no single bio-
chemical marker can meet all these requirements,
the use of a variety of biochemical markers is im-
portant to monitor the recovery process after a
soccer match.
4. Conclusion
Fatigue following a soccer match is multifactorial
and related to dehydration, glycogen depletion,
muscle damage and mental fatigue. The recovery
process of fatigue mechanisms is highly variable
and depends on several confounding factors such
as the magnitude of fatigue induced by a soccer
match, as well as extrinsic and intrinsic factors.
Markers used to study the recovery process must
be reliable. Another parameter to take into ac-
count for studies on this theme concerns the bal-
ance between monitoring the recovery process
after a real match or that after soccer-specific ex-
ercise simulating match-play. As a consequence
of the unpredictable changes that occur during
a real match, the recovery process can present
a high interindividual variability. Variability of
physical performance is high and is linked to
many factors that are sometimes unpredictable
such as scoring one or two goals during the first
15 minutes, which could reduce the high-intensity
distance in the assessed team. Thus, tracking the
recovery process after a real match appears to be
valid but limited in practice as the results can
change according to the match. Tracking the re-
covery process after exercise that simulates cer-
tain conditions of the match is interesting to both
control and manipulate some variables. However,
the applicability of findings arising from laboratory
settings can be questioned in relation to the real-
match context. Recovery in soccer is a complex
issue reinforcing the need for future research to
(i) estimate the quantitative importance of
mechanism(s) that contribute(s) to post-match
soccer fatigue; and (ii) identify influencing fac-
tors, targeting the major cause of fatigue at a
specific timepoint, which should provide valuable
information on what recovery strategies may be
the most effective to be administered at that spe-
cific timepoint. Part II of this review will deal with
recovery strategies used by professional soccer
teams.
Acknowledgements
No sources of funding were used to assist in the prepara-
tion of this review. The authors have no conflicts of interest
that are directly relevant to the content of this review.
1010 Ne
´de
´lec et al.
Adis ª2012 Springer International Publishing AG. All rights reserved. Sports Med 2012; 42 (12)
References
1. Andersson H, Raastad T, Nilsson J, et al. Neuromuscular
fatigue and recovery in elite female soccer: effects of active
recovery. Med Sci Sports Exerc 2008 Feb; 40 (2): 372-80
2. Ispirlidis I, Fatouros IG, Jamurtas AZ, et al. Time-course
of changes in inflammatory and performance responses
following a soccer game. Clin J Sport Med 2008 Sep;
18 (5): 423-31
3. Ascensa
˜o A, Rebelo A, Oliveira E, et al. Biochemical im-
pact of a soccer match-analysis of oxidative stress and
muscle damage markers throughout recovery. Clin Bio-
chem 2008 Jul; 41 (10-11): 841-51
4. Fatouros IG, Chatzinikolaou A, Douroudos II, et al. Time-
course of changes in oxidative stress and antioxidant sta-
tus responses following a soccer game. J Strength Cond
Res 2010 Dec; 24 (12): 3278-86
5. Magalha
˜es J, Rebelo A, Oliveira E, et al. Impact of
Loughborough Intermittent Shuttle Test versus soccer
match on physiological, biochemical and neuromuscular
parameters. Eur J Appl Physiol 2010 Jan; 108 (1): 39-48
6. Ekstrand J, Walde
´nM,Ha
¨gglund M. A congested football
calendar and the wellbeing of players: correlation between
match exposure of European footballers before the World
Cup 2002 and their injuries and performances during that
World Cup. Br J Sports Med 2004 Aug; 38 (4): 493-7
7. Dupont G, Nedelec M, McCall A, et al. Effect of 2 soccer
matches in a week on physical performance and injury
rate. Am J Sports Med 2010 Sep; 38 (9): 1752-8
8. Allen DG, Lamb GD, Westerblad H. Skeletal muscle fati-
gue: cellular mechanisms. Physiol Rev 2008 Jan; 88 (1):
287-332
9. Mohr M, Krustrup P, Bangsbo J. Fatigue in soccer: a brief
review. J Sports Sci 2005 Jun; 23 (6): 593-9
10. Rampinini E, Bosio A, Ferraresi I, et al. Match-related
fatigue in soccer players. Med Sci Sports Exerc 2011 Nov;
43 (11): 2161-70
11. Bangsbo J, Mohr M, Krustrup P. Physical and metabolic
demands of training and match-play in the elite football
player. J Sports Sci 2006 Jul; 24 (7): 665-74
12. Robineau J, Jouaux T, Lacroix M, et al. Neuromuscular
fatigue induced by a 90-minute soccer game modeling.
J Strength Cond Res 2012 Feb; 26 (2): 555-62
13. Bigland-Ritchie B, Woods JJ. Changes in muscle con-
tractile properties and neural control during human
muscular fatigue. Muscle Nerve 1984 Nov-Dec; 7 (9): 691-9
14. Mohr M, Mujika I, Santisteban J, et al. Examination of
fatigue development in elite soccer in a hot environment: a
multi-experimental approach. Scand J Med Sci Sports
2010 Oct; 20 Suppl. 3: 125-32
15. Edwards AM, Noakes TD. Dehydration: cause of fatigue or
sign of pacing in elite soccer? Sports Med 2009; 39 (1): 1-13
16. Cheuvront SN, Carter 3rd R, Haymes EM, et al. No effect
of moderate hypohydration or hyperthermia on anaero-
bic exercise performance. Med Sci Sports Exerc 2006 Jun;
38 (6): 1093-7
17. Hoffman JR, Stavsky H, Falk B. The effect of water re-
striction on anaerobic power and vertical jumping height
in basketball players. Int J Sports Med 1995 May; 16 (4):
214-8
18. Bandelow S, Maughan R, Shirreffs S, et al. The effects of
exercise, heat, cooling and rehydration strategies on cog-
nitive function in football players. Scand J Med Sci Sports
2010 Oct; 20 Suppl. 3: 148-60
19. Cian C, Barraud PA, Melin B, et al. Effects of fluid inges-
tion on cognitive function after heat stress or exercise-
induced dehydration. Int J Psychophysiol. 2001 Nov;
42 (3): 243-51
20. Armstrong LE, Costill DL, Fink WJ. Influence of diuretic-
induced dehydration on competitive running perfor-
mance. Med Sci Sports Exerc 1985 Aug; 17 (4): 456-61
21. Cheuvront SN, Carter 3rd R, Sawka MN. Fluid balance
and endurance exercise performance. Curr Sports Med
Rep 2003 Aug; 2 (4): 202-8
22. Edwards AM, Mann ME, Marfell-Jones MJ, et al. Influ-
ence of moderate dehydration on soccer performance:
physiological responses to 45 min of outdoor match-play
and the immediate subsequent performance of sport-
specific and mental concentration tests. Br J Sports Med
2007 Jun; 41 (6): 385-91
23. Shirreffs SM, Taylor AJ, Leiper JB, et al. Post-exercise re-
hydration in man: effects of volume consumed and drink
sodium content. Med Sci Sports Exerc 1996 Oct; 28 (10):
1260-71
24. Keller U, Szinnai G, Bilz S, et al. Effects of changes in
hydration on protein, glucose and lipid metabolism in man:
impact on health. Eur J Clin Nutr 2003 Dec; 57 Suppl. 2:
S69-74
25. Waller AP, Heigenhauser GJ, Geor RJ, et al. Fluid and
electrolyte supplementation after prolonged moderate-
intensity exercise enhances muscle glycogen resynthesis
in standardbred horses. J Appl Physiol 2009 Jan; 106 (1):
91-100
26. Mohr M, Krustrup P, Bangsbo J. Match performance of
high-standard soccer players with special reference to de-
velopment of fatigue. J Sports Sci 2003 Jul; 21 (7): 519-28
27. Di Salvo V, Gregson W, Atkinson G, et al. Analysis of high
intensity activity in premier league soccer. Int J Sports
Med 2009 Mar; 30 (3): 205-12
28. Jacobs I, Westlin N, Karlsson J, et al. Muscle glycogen and
diet in elite soccer players. Eur J Appl Physiol Occup
Physiol 1982; 48 (3): 297-302
29. Krustrup P, Mohr M, Steensberg A, et al. Muscle and
blood metabolites during a soccer game: implications for
sprint performance. Med Sci Sports Exerc 2006 Jun; 38 (6):
1165-74
30. Krustrup P, Ortenblad N, Nielsen J, et al. Maximal
voluntary contraction force, SR function and glycogen
resynthesis during the first 72 h after a high-level compe-
titive soccer game. Eur J Appl Physiol 2011 Dec; 111 (12):
2987-95
31. Osgnach C, Poser S, Bernardini R, et al. Energy cost and
metabolic power in elite soccer: a new match analysis ap-
proach. Med Sci Sports Exerc 2010 Jan; 42 (1): 170-8
32. Rahnama N, Reilly T, Lees A. Injury risk associated with
playing actions during competitive soccer. Br J Sports
Med 2002 Oct; 36 (5): 354-9
33. De Baranda PS, Ortega E, Palao JM. Analysis of goal-
keepers’ defence in the world cup in Korea and Japan in
2002. Eur J Sport Sci 2008; 8 (3): 127-34
Soccer Recovery: Part I Post-Match Fatigue 1011
Adis ª2012 Springer International Publishing AG. All rights reserved. Sports Med 2012; 42 (12)
34. Byrne C, Twist C, Eston R. Neuromuscular function after
exercise-induced muscle damage: theoretical and applied
implications. Sports Med 2004; 34 (1): 49-69
35. Howatson G, Milak A. Exercise-induced muscle damage
following a bout of sport specific repeated sprints.
J Strength Cond Res 2009 Nov; 23 (8): 2419-24
36. Chatzinikolaou A, Fatouros IG, Gourgoulis V, et al. Time
course of changes in performance and inflammatory re-
sponses after acute plyometric exercise. J Strength Cond
Res 2010 May; 24 (5): 1389-98
37. Nicholas CW, Nuttall FE, Williams C. The Loughborough
Intermittent Shuttle Test: a field test that simulates the
activity pattern of soccer. J Sports Sci 2000 Feb; 18 (2):
97-104
38. Thompson D, Nicholas CW, Williams C. Muscular sore-
ness following prolonged intermittent high-intensity
shuttle running. J Sports Sci 1999 May; 17 (5): 387-95
39. Delextrat A, Baker J, Cohen DD, et al. Effect of a simu-
lated soccer match on the functional hamstrings-to-
quadriceps ratio in amateur female players. Scand J Med
Sci Sports. Epub 2011 Nov 23
40. Small K, McNaughton L, Greig M, et al. The effects of
multidirectional soccer-specific fatigue on markers of
hamstring injury risk. J Sci Med Sport 2010 Jan; 13 (1):
120-5
41. Young WB, Hepner J, Robbins DW. Movement demands
in Australian rules football as indicators of muscle dam-
age. J Strength Cond Res 2012 Feb; 26 (2): 492-6
42. Clarkson PM, Nosaka K, Braun B. Muscle function after
exercise-induced muscle damage and rapid adaptation.
Med Sci Sports Exerc 1992 May; 24 (5): 512-20
43. Raastad T, Owe SG, Paulsen G, et al. Changes in calpain
activity, muscle structure, and function after eccentric
exercise. Med Sci Sports Exerc 2010 Jan; 42 (1): 86-95
44. Howatson G, van Someren KA. The prevention and
treatment of exercise-induced muscle damage. Sports
Med 2008; 38 (6): 483-503
45. Asp S, Daugaard JR, Kristiansen S, et al. Exercise metab-
olism in human skeletal muscle exposed to prior eccentric
exercise. J Physiol 1998 May 15; 509 (Pt 1): 305-13
46. Jentjens R, Jeukendrup A. Determinants of post-exercise
glycogen synthesis during short-term recovery. Sports
Med 2003; 33 (2): 117-44
47. Williams AM. Perceptual skill in soccer: implications for
talent identification and development. J Sports Sci 2000
Sep; 18 (9): 737-50
48. Boksem MA, Meijman TF, Lorist MM. Effects of mental
fatigue on attention: an ERP study. Brain Res Cogn Brain
Res 2005 Sep; 25 (1): 107-16
49. Lorist MM, Boksem MA, Ridderinkhof KR. Impaired cog-
nitive control and reduced cingulate activity during mental
fatigue. Brain Res Cogn Brain Res 2005 Jul; 24 (2): 199-205
50. Sanders AF. Elements of human performance. London:
Lawrence Erlbaum Associates, 1998
51. Greig M, Marchant D, Lovell R, et al. A continuous
mental task decreases the physiological response to soc-
cer-specific intermittent exercise. Br J Sports Med 2007
Dec; 41 (12): 908-13
52. Marcora SM, Staiano W, Manning V. Mental fatigue im-
pairs physical performance in humans. J Appl Physiol
2009 Mar; 106 (3): 857-64
53. Lemmink KA, Visscher C. Effect of intermittent exercise
on multiple-choice reaction times of soccer players. Per-
cept Mot Skills 2005 Feb; 100 (1): 85-95
54. McMorris T, Graydon J. The effect of exercise on cognitive
performance in soccer-specific tests. J Sports Sci 1997 Oct;
15 (5): 459-68
55. Bishop D. The effects of travel on team performance in the
Australian national netball competition. J Sci Med Sport
2004 Mar; 7 (1): 118-22
56. Richmond LK, Dawson B, Stewart G, et al. The effect of
interstate travel on the sleep patterns and performance of
elite Australian rules footballers. J Sci Med Sport 2007
Aug; 10 (4): 252-8
57. Reilly T, Drust B, Clarke N. Muscle fatigue during football
match-play. Sports Med 2008; 38 (5): 357-67
58. Nederhof E, Lemmink KA, Visscher C, et al. Psychomotor
speed: possibly a new marker for overtraining syndrome.
Sports Med 2006; 36 (10): 817-28
59. Ingram J, Dawson B, Goodman C, et al. Effect of water
immersion methods on post-exercise recovery from sim-
ulated team sport exercise. J Sci Med Sport 2009 May;
12 (3): 417-21
60. Bishop D, Spencer M, Duffield R, et al. The validity of
a repeated sprint ability test. J Sci Med Sport 2001 Mar;
4 (1): 19-29
61. Krustrup P, Zebis M, Jensen JM, et al. Game-induced fa-
tigue patterns in elite female soccer. J Strength Cond Res
2010 Feb; 24 (2): 437-41
62. Mohr M, Krustrup P, Nybo L, et al. Muscle temperature
and sprint performance during soccer matches: beneficial
effect of re-warm-up at half-time. Scand J Med Sci Sports
2004 Jun; 14 (3): 156-62
63. Bailey DM, Erith SJ, Griffin PJ, et al. Influence of cold-
water immersion on indices of muscle damage following
prolonged intermittent shuttle running. J Sports Sci 2007
Sep; 25 (11): 1163-70
64. Thorlund JB, Aagaard P, Madsen K. Rapid muscle force
capacity changes after soccer match play. Int J Sports
Med 2009 Apr; 30 (4): 273-8
65. Oliver J, Armstrong N, Williams C. Changes in jump per-
formance and muscle activity following soccer-specific
exercise. J Sports Sci 2008 Jan 15; 26 (2): 141-8
66. Delextrat A, Gregory J, Cohen D. The use of the functional
H:Q ratio to assess fatigue in soccer. Int J Sports Med
2010 Mar; 31 (3): 192-7
67. Greig M. The influence of soccer-specific fatigue on peak
isokinetic torque production of the knee flexors and ex-
tensors. Am J Sports Med 2008 Jul; 36 (7): 1403-9
68. Rahnama N, Reilly T, Lees A, et al. Muscle fatigue induced
by exercise simulating the work rate of competitive soccer.
J Sports Sci 2003 Nov; 21 (11): 933-42
69. Lovell R, Knapper B, Small K. Physiological responses to
SAFT90: a new soccer-specific match simulation. Poster
presented at the Verona-Ghirada Team Sports Con-
ference; 2008 Jun 7-8; Treviso
1012 Ne
´de
´lec et al.
Adis ª2012 Springer International Publishing AG. All rights reserved. Sports Med 2012; 42 (12)
70. Bishop PA, Jones E, Woods AK. Recovery from training:
a brief review. J Strength Cond Res 2008 May; 22 (3):
1015-24
71. Rampinini E, Coutts AJ, Castagna C, et al. Variation in
top level soccer match performance. Int J Sports Med
2007 Dec; 28 (12): 1018-24
72. Lago-Pen
˜as C, Rey E, Lago-Ballesteros J, et al. The influ-
ence of a congested calendar on physical performance in
elite soccer. J Strength Cond Res 2011 Aug; 25 (8): 2111-7
73. Pinnington HC, Dawson B. The energy cost of running on
grass compared to soft dry beach sand. J Sci Med Sport
2001 Dec; 4 (4): 416-30
74. Gains GL, Swedenhjelm AN, Mayhew JL, et al. Compar-
ison of speed and agility performance of college football
players on field turf and natural grass. J Strength Cond
Res 2010 Oct; 24 (10): 2613-7
75. Fell J, Williams D. The effect of aging on skeletal-muscle
recovery from exercise: possible implications for aging
athletes. J Aging Phys Act 2008 Jan; 16 (1): 97-115
76. Magal M, Dumke CL, Urbiztondo ZG, et al. Relationship
between serum creatine kinase activity following exercise-
induced muscle damage and muscle fibre composition.
J Sports Sci 2010 Feb; 28 (3): 257-66
77. Lovell R, Midgley A, Barrett S, et al. Effects of different
half-time strategies on second half soccer-specific speed,
power and dynamic strength. Scand J Med Sci Sports.
Epub 2011 Aug 3
78. Bangsbo J, Nørregaard L, Thorsø F. Activity profile of
competition soccer. Can J Sport Sci 1991 Jun; 16 (2): 110-6
79. Spencer M, Bishop D, Dawson B, et al. Physiological and
metabolic responses of repeated-sprint activities: specific
to field-based team sports. Sports Med 2005; 35 (12):
1025-44
80. Rampinini E, Bishop D, Marcora SM, et al. Validity of
simple field tests as indicators of match-related physical
performance in top-level professional soccer players. Int
J Sports Med 2007 Mar; 28 (3): 228-35
81. Gabbett TJ. The development of a test of repeated-sprint
ability for elite women’s soccer players. J Strength Cond
Res 2010 May; 24 (5): 1191-4
82. Impellizzeri FM, Rampinini E, Castagna C, et al. Validity
of a repeated-sprint test for football. Int J Sports Med
2008 Nov; 29 (11): 899-905
83. Wragg CB, Maxwell NS, Doust JH. Evaluation of the reli-
ability and validity of a soccer-specific field test of repeated
sprint ability. Eur J Appl Physiol 2000 Sep; 83 (1): 77-83
84. Wilkinson M, McCord A, Winter EM. Validity of a
squash-specific test of multiple-sprint ability. J Strength
Cond Res 2010 Dec; 24 (12): 3381-6
85. Psotta R, Blahus P, Cochrane DJ, et al. The assessment of
an intermittent high intensity running test. J Sports Med
Phys Fitness 2005 Sep; 45 (3): 248-56
86. Da Silva JF, Guglielmo LG, Carminatti LJ, et al. Validity
and reliability of a new field test (Carminatti’s test) for
soccer players compared with laboratory-based measures.
J Sports Sci 2011 Dec; 29 (15): 1621-8
87. Atkinson G, Nevill AM, Edwards B. What is an acceptable
amount of measurement error? The application of mean-
ingful ‘‘analytical goals’’ to the reliability of sports science
measurements made on a ratio scale. In: Communications
to the Annual Conference of the British Association of
Sport and Exercise Sciences (BASES); J Sports Sci 1999;
17 (1): 18
88. Fitzsimons M, Dawson B, Ward D, et al. Cycling and
running tests of repeated sprint ability. Aust J Sci Med
Sport 1993; 25 (4): 82-7
89. Glaister M, Howatson G, Lockey RA, et al. Familiariza-
tion and reliability of multiple sprint running performance
indices. J Strength Cond Res 2007 Aug; 21 (3): 857-9
90. Sporis G, Jukic I, Milanovic L, et al. Reliability and fac-
torial validity of agility tests for soccer players. J Strength
Cond Res 2010 Mar; 24 (3): 679-86
91. Arnason A, Sigurdsson SB, Gudmundsson A, et al. Physi-
cal fitness, injuries, and team performance in soccer. Med
Sci Sports Exerc 2004 Feb; 36 (2): 278-85
92. Wisløff U, Castagna C, Helgerud J, et al. Strong correla-
tion of maximal squat strength with sprint performance
and vertical jump height in elite soccer players. Br J Sports
Med 2004 Jun; 38 (3): 285-8
93. Moir G, Button C, Glaister M, et al. Influence of famil-
iarization on the reliability of vertical jump and accelera-
tion sprinting performance in physically active men.
J Strength Cond Res 2004 May; 18 (2): 276-80
94. Dias JA, Dal Pupo J, Reis DC, et al. Validity of two
methods for estimation of vertical jump height. J Strength
Cond Res 2011 Jul; 25 (7): 2034-9
95. Brodt V, Wagner DR, Heath EM. Countermovement ver-
tical jump with drop step is higher than without in col-
legiate football players. J Strength Cond Res 2008 Jul;
22 (4): 1382-5
96. Burkett LN, Phillips WT, Ziuraitis J. The best warm-up for
the vertical jump in college-age athletic men. J Strength
Cond Res 2005 Aug; 19 (3): 673-6
97. Holt BW, Lambourne K. The impact of different warm-up
protocols on vertical jump performance in male collegiate
athletes. J Strength Cond Res 2008 Jan; 22 (1): 226-9
98. Vetter RE. Effects of six warm-up protocols on sprint and
jump performance. J Strength Cond Res 2007 Aug; 21 (3):
819-23
99. Jakeman JR, Byrne C, Eston RG. Lower limb compression
garment improves recovery from exercise-induced muscle
damage in young, active females. Eur J Appl Physiol 2010
Aug; 109 (6): 1137-44
100. Jakeman JR, Byrne C, Eston RG. Efficacy of lower limb
compression and combined treatment of manual massage
and lower limb compression on symptoms of exercise-
induced muscle damage in women. J Strength Cond Res
2010 Nov; 24 (11): 3157-65
101. Nicol C, Avela J, Komi PV. The stretch-shortening cycle :
a model to study naturally occurring neuromuscular fati-
gue. Sports Med 2006; 36 (11): 977-99
102. Paavolainen L, Ha
¨kkinen K, Ha
¨ma
¨la
¨inen I, et al. Ex-
plosive-strength training improves 5-km running time by
improving running economy and muscle power. J Appl
Physiol 1999 May; 86 (5): 1527-33
103. Chamari K, Chaouachi A, Hambli M, et al. The five-
jump test for distance as a field test to assess lower limb
explosive power in soccer players. J Strength Cond Res
2008 May; 22 (3): 944-50
Soccer Recovery: Part I Post-Match Fatigue 1013
Adis ª2012 Springer International Publishing AG. All rights reserved. Sports Med 2012; 42 (12)
104. Coutts AJ, Slattery KM, Wallace LK. Practical tests for
monitoring performance, fatigue and recovery in triath-
letes. J Sci Med Sport 2007 Dec; 10 (6): 372-81
105. Bosco C, Luhtanen P, Komi PV. A simple method for
measurement of mechanical power in jumping. Eur J Appl
Physiol Occup Physiol 1983; 50 (2): 273-82
106. Hamilton RT, Shultz SJ, Schmitz RJ, et al. Triple-hop
distance as a valid predictor of lower limb strength and
power. J Athl Train 2008 Apr-Jun; 43 (2): 144-51
107. Bolgla LA, Keskula DR. Reliability of lower extremity
functional performance tests. J Orthop Sports Phys Ther
1997 Sep; 26 (3): 138-42
108. Warren GL, Lowe DA, Armstrong RB. Measurement
tools used in the study of eccentric contraction-induced
injury. Sports Med 1999 Jan; 27 (1): 43-59
109. Woods C, Hawkins RD, Maltby S, et al. The Football
Association Medical Research Programme: an audit of
injuries in professional football: analysis of hamstring
injuries. Br J Sports Med 2004 Feb; 38 (1): 36-41
110. Hawkins RD, Hulse MA, Wilkinson C, et al. The associa-
tion football medical research programme: an audit of
injuries in professional football. Br J Sports Med 2001
Feb; 35 (1): 43-7
111. Baltzopoulos V, Gleeson NP. Skeletal muscle function. In:
Eston RG, Reilly T, editors. Tests, procedures and data (Vol.
2: Exercise physiology). London: Routledge, 2001: 7-35
112. Hopkins WG, Schabort EJ, Hawley JA. Reliability of
power in physical performance tests. Sports Med 2001;
31 (3): 211-34
113. Aagaard P, Simonsen EB, Magnusson SP, et al. A new con-
cept for isokinetic hamstring: quadriceps muscle strength
ratio. Am J Sports Med 1998 Mar-Apr; 26 (2): 231-7
114. Witvrouw E, Mahieu N, Danneels L, et al. Stretching and
injury prevention: an obscure relationship. Sports Med
2004; 34 (7): 443-9
115. Sporis G, Vucetic V, Jovanovic M, et al. Reliability and
factorial validity of flexibility tests for team sports.
J Strength Cond Res 2011 Apr; 25 (4): 1168-76
116. Cone JR, Berry NT, Goldfarb A, et al. Effects of an in-
dividualized soccer match simulation on vertical stiffness
and impedance. J Strength Cond Res 2012; 26 (8) 2027-36
117. Stølen T, Chamari K, Castagna C, et al. Physiology of
soccer: an update. Sports Med 2005; 35 (6): 501-36
118. da Silva JF, Guglielmo LG, Bishop D. Relationship be-
tween different measures of aerobic fitness and repeated-
sprint ability in elite soccer players. J Strength Cond Res
2010 Aug; 24 (8): 2115-21
119. Aziz AR, Mukherjee S, Chia MY, et al. Relationship be-
tween measured maximal oxygen uptake and aerobic en-
durance performance with running repeated sprint ability
in young elite soccer players. J Sports Med Phys Fitness
2007 Dec; 47 (4): 401-7
120. Dupont G, Millet GP, Guinhouya C, et al. Relationship
between oxygen uptake kinetics and performance in
repeated running sprints. Eur J Appl Physiol 2005 Sep;
95 (1): 27-34
121. Hughes M, Franks I. Analysis of passing sequences, shots
and goals in soccer. J Sports Sci 2005 May; 23 (5): 509-14
122. Russell M, Kingsley M. Influence of exercise on skill pro-
ficiency in soccer. Sports Med 2011 Jul 1; 41 (7): 523-39
123. Ali A, Williams C, Hulse M, et al. Reliability and validity
of two tests of soccer skill. J Sports Sci 2007 Nov; 25 (13):
1461-70
124. Russell M, Benton D, Kingsley M. Reliability and con-
struct validity of soccer skills tests that measure passing,
shooting, and dribbling. J Sports Sci 2010 Nov; 28 (13):
1399-408
125. Kellis E, Katis A, Vrabas IS. Effects of an intermittent
exercise fatigue protocol on biomechanics of soccer kick
performance. Scand J Med Sci Sports 2006 Oct; 16 (5):
334-44
126. Russell M, Benton D, Kingsley M. Influence of carbohy-
drate supplementation on skill performance during a
soccer match simulation. J Sci Med Sport 2012; 15 (4):
348-54
127. Stone KJ, Oliver JL. The effect of 45 minutes of soccer-
specific exercise on the performance of soccer skills. Int
J Sports Physiol Perform 2009 Jun; 4 (2): 163-75
128. McGregor SJ, Nicholas CW, Lakomy HK, et al. The in-
fluence of intermittent high-intensity shuttle running and
fluid ingestion on the performance of a soccer skill.
J Sports Sci 1999 Nov; 17 (11): 895-903
129. Rampinini E, Impellizzeri FM, Castagna C, et al. Effect of
match-related fatigue on short-passing ability in young
soccer players. Med Sci Sports Exerc 2008 May; 40 (5):
934-42
130. Ali A, Williams C, Nicholas CW, et al. The influence of
carbohydrate-electrolyte ingestion on soccer skill perfor-
mance. Med Sci Sports Exerc 2007 Nov; 39 (11): 1969-76
131. Ali A, Gardiner R, Foskett A, et al. Fluid balance, ther-
moregulation and sprint and passing skill performance in
female soccer players. Scand J Med Sci Sports 2011 Jun;
21 (3): 437-45
132. Impellizzeri FM, Rampinini E, Maffiuletti NA, et al. Ef-
fects of aerobic training on the exercise-induced decline in
short-passing ability in junior soccer players. Appl Physiol
Nutr Metab 2008 Dec; 33 (6): 1192-8
133. Lyons M, Al-Nakeeb Y, Nevill A. Performance of soccer
passing skills under moderate and high-intensity localized
muscle fatigue. J Strength Cond Res 2006 Feb; 20 (1): 197-202
134. Brooks JH, Fuller CW, Kemp SP, et al. An assessment of
training volume in professional rugby union and its im-
pact on the incidence, severity, and nature of match and
training injuries. J Sports Sci 2008 Jun; 26 (8): 863-73
135. Cheung K, Hume P, Maxwell L. Delayed onset muscle
soreness : treatment strategies and performance factors.
Sports Med 2003; 33 (2): 145-64
136. Hooper SL, Mackinnon LT. Monitoring overtraining in ath-
letes: recommendations. Sports Med 1995 Nov; 20 (5): 321-7
137. Kentta
¨G, Hassme
´n P. Overtraining and recovery: a con-
ceptual model. Sports Med 1998 Jul; 26 (1): 1-16
138. Andersson H, Karlsen A, Blomhoff R, et al. Active re-
covery training does not affect the antioxidant response to
soccer matches in elite female players. Br J Nutr 2010
Nov; 104 (10): 1492-9
139. Takarada Y. Evaluation of muscle damage after a rugby
match with special reference to tackle plays. Br J Sports
Med 2003; 37 (5): 416-9
1014 Ne
´de
´lec et al.
Adis ª2012 Springer International Publishing AG. All rights reserved. Sports Med 2012; 42 (12)
140. Urhausen A, Kindermann W. Diagnosis of overtrain-
ing: what tools do we have? Sports Med 2002; 32 (2):
95-102
141. Mougios V. Reference intervals for serum creatine kinase
in athletes. Br J Sports Med 2007 Oct; 41 (10): 674-8
142. Pedersen BK. Special feature for the Olympics: effects of
exercise on the immune system: exercise and cytokines.
Immunol Cell Biol 2000 Oct; 78 (5): 532-5
143. Tidball JG. Inflammatory processes in muscle injury and
repair. Am J Physiol Regul Integr Comp Physiol 2005
Feb; 288 (2): R345-53
144. Pedersen BK, Toft AD. Effects of exercise on lymphocytes
and cytokines. Br J Sports Med 2000 Aug; 34 (4): 246-51
145. Fischer CP. Interleukin-6 in acute exercise and training:
what is the biological relevance?. Exerc Immunol Rev
2006; 12: 6-33
146. Andersson H, Bøhn SK, Raastad T, et al. Differences in the
inflammatory plasma cytokine response following two
elite female soccer games separated by a 72-h recovery.
Scand J Med Sci Sports 2010 Oct; 20 (5): 740-7
147. Singh TK, Guelfi KJ, Landers G, et al. A comparison of
muscle damage, soreness and performance following a
simulated contact and non-contact team sport activity
circuit. J Sci Med Sport 2011 Sep; 14 (5): 441-6
148. Moreira A, Arsati F, de Oliveira Lima Arsati YB, et al.
Salivary cortisol in top-level professional soccer players.
Eur J Appl Physiol 2009 May; 106 (1): 25-30
149. Ekblom B. Assessment of fitness and player profiles. In
Dvorak J, Kirkendall DT, editors. International football
and sports medicine: caring for the soccer athlete world-
wide. Proceedings of the International Football and
Sports Medicine Conference; 22-24 March 2002; Beverly
Hills (CA). Rosemont (IL): AOSSM, 2005
150. Maso F, Lac G, Filaire E, et al. Salivary testosterone and
cortisol in rugby players: correlation with psychological
overtraining items. Br J Sports Med 2004 Jun; 38 (3): 260-3
151. Halliwell B, Whiteman M. Measuring reactive species and
oxidative damage in vivo and in cell culture: how should
you do it and what do the results mean? Br J Pharmacol
2004 May; 142 (2): 231-55
Correspondence: Dr Gregory Dupont, Universite
´d’Artois,
UFR STAPS, Chemin du marquage, 62800 Lie
´ven, FRANCE.
E-mail: gregory.dupont@univ-lille2.fr
Soccer Recovery: Part I Post-Match Fatigue 1015
Adis ª2012 Springer International Publishing AG. All rights reserved. Sports Med 2012; 42 (12)
... Furthermore, prolonged exposure to fatigue resulting from insufficient recovery time may increase the risk of injury rate in subsequent matches [12,13]. However, adopting recovery strategies, particularly those aimed at enhancing mobility and strength (i.e., knee flexors) plays a crucial role in mitigating the risk of injuries associated with high training loads and match intensity [13][14][15]. ...
... Moreover, to the best of our knowledge, no studies have evaluated the effectiveness of an active recovery program performed between two consecutive matches in female football players [25] nor have they compared three active recovery strategies in the same sample. Additionally, while many current recovery approaches are adapted from research in male football [11,14,15,[26][27][28][29][30], the potential physiological and biomechanical differences between male and female players underscore the need to tailor evidence-based methods to the specific needs of female athletes [31]. Such adaptations are crucial to ensure effective recovery and meet the growing demands of modern football. ...
... Therefore, recovery is essential for improving performance and preventing injuries, and it can be classified into passive and active strategies [28]. As explained previously, passive recovery techniques aim to reduce muscle soreness and inflammation, while promoting relaxation and recuperation without further physical exertion [14][15][16]31]. On the other hand, active recovery involves low-intensity exercises designed to maintain blood flow and accelerate the removal of metabolic waste products [22][23][24]28]. ...
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This study aimed to assess the effectiveness of various active recovery strategies in youth female soccer players during competitive tournaments with limited recovery periods (i.e., 24-48 h). Twenty-two elite under-17 female football players participated in this randomized controlled trial, which encompassed fourteen 90 min official matches. Participants were randomly allocated to one of three recovery protocols: passive stretching, foam rolling, or lumbopelvic mobility exercises, which were implemented ten minutes after each match. Countermovement jump with free arm (CMJA) height was measured pre-intervention, immediately post-intervention, and 5 h post-intervention. Wellness perception was evaluated 24 h later. Significant enhancements in CMJA height were observed immediately after all recovery protocols and at 5 h post-intervention compared with pre-intervention (p < 0.001). The lumbopelvic mobility protocol yielded the most substantial improvement, significantly surpassing both stretching and foam rolling. Moreover , significant increases in wellness perception were observed following the foam rolling (p < 0.001, ES = 0.95) and mobility (p < 0.05, ES = 0.88) protocols, with the mobility protocol demonstrating a marginally larger effect size than stretching. Active recovery strategies significantly enhanced neuromuscular function and wellness perception in under-17 female soccer players. Lumbopelvic mobility exercises exhibited superior efficacy, suggesting that they should be prioritized in post-match recovery regimens.
... to biochemical changes and structural alterations within skeletal muscle, yielding an attenuated response to neural stimulation (i.e., peripheral fatigue) (9)(10)(11). Peripheral and central fatigue can be investigated non-invasively using electrical nerve or muscle stimulations at rest and superimposed to a maximal voluntary isometric contraction, respectively (12,13). ...
... Moreover, understanding the etiology of neuromuscular fatigue is critical for exercise training. Indeed, neuromuscular fatigue has been identified as a training stimulus to chronic adaptations (22,23), as a risk factor for muscle injuries (24,25), and provides practical insights for the periodization of the training load and recovery (11,26). In order to prepare players for the match, high-intensity interval training (HIIT) and sprints are often part of physical training sessions (27,28) to develop aerobic and anaerobic metabolisms, respectively. ...
Article
Purpose This study investigated the mechanisms of neuromuscular fatigue and recovery in quadriceps and hamstring muscles following soccer match-play and typical training sessions dedicated to the physical development of players. Methods Fifteen male professional academy soccer players completed at different visits a 90-minute simulated soccer match-play (MATCH) and four training sessions modulating the metabolic nature (HIIT vs. SPRINT) and the mechanical load (number of changes of direction [COD]). Neuromuscular fatigue was evaluated via changes in pre to postexercise maximal voluntary contraction (MVC), potentiated twitch force (P Tw , peripheral fatigue) and voluntary activation (VA, central fatigue) evoked by electrical stimulation in quadriceps and hamstring muscles. External load was assessed via GPS units. Results Following MATCH, ΔMVC was similar between quadriceps (-18.3 ± 11.6%) and hamstring (-23.2 ± 10.6%) muscles. However, hamstring muscles displayed greater ΔP Tw (-27.2 ± 25.0% vs. -17.2 ± 10.9%), but lower ΔVA (-8.2 ± 14.0% vs. -18.1 ± 12.7%) than quadriceps muscles. Quadriceps and hamstring muscles fatigue recovered 24 h post-match. Increasing the mechanical load (number of COD) increased the magnitude of neuromuscular fatigue in quadriceps but not in hamstring muscles. Modulating the metabolic nature of the session (SPRINT vs. HIIT) did not influence neuromuscular fatigue in either muscle group. No correlation was found between ΔMVC and a fatigue index derived from GPS metrics for any muscle groups ( r ² < 0.06, P > 0.38). Conclusions The magnitude and etiology of neuromuscular fatigue were modulated by the muscle group investigated and the mechanical load of the exercise task. Moreover, the ‘fatigue index’ derived from GPS metrics is not a valid surrogate of neuromuscular fatigue on the field.
... A more practical and commonly used way to assess recovery is to ask athletes to judge their recovery status (i.e., subjective recovery), either informally in daily conversations or formally using specific scales or questionnaires like the Total Quality of Recovery (TQR) scale (Kenttä & Hassmén, 1998). The validity of subjective measures of recovery has been supported by their associations with performance decrements, injury rates, and biochemical markers of recovery (Andersson et al., 2008;Bessa et al., 2016;Brink et al., 2010;Kellmann et al., 2018;Nedelec et al., 2014;Nédélec et al., 2012Nédélec et al., , 2013Nédélec et al., , 2015Rampinini et al., 2011). ...
... Fatigue is an exercise-induced decline in the ability to generate muscular force coupled with increased effort of perception (20) and can significantly disrupt functional capacity, affecting force production (55), sprinting (50), and jumping performance (13). Notably, these performance decrements can last up to 72-96 hours (33,65) or even longer depending on the training stimulus and can negatively impact performance (54). Although fatigue is a crucial mediator of adaptive responses, insufficient recovery may lead to acute performance reductions (39,52), chronic maladaptations (41), or even overtraining (12). ...
Article
Grammenou, M, Kendall, KL, Wilson, CJ, Porter, T, Laws, SM, and Haff, GG. Effect of fitness level on time course of recovery after acute strength and high-intensity interval training. J Strength Cond Res XX(X): 000–000, 2024—The aim was to investigate time course of recovery after acute bouts of strength (STR) and high-intensity interval training (HIIT). A secondary goal was to assess the influence of total fitness score (TFS), composed of handgrip strength and maximum aerobic power on recovery. Twenty-eight resistance-trained individuals completed 8 testing sessions within a 14- to 17-day period. Subjects performed a testing battery comprising isometric midthigh pull (IMTP), countermovement jump (CMJ), and a modified Wingate test (WINmod) at baseline, immediately after exercise, as well as at 6 and 24 hours after the training sessions. A one-way ANOVA was performed to examine time changes after the training sessions. Subjects were then grouped based on their TFS in high, medium, and low groups. To examine the influence of TFS on time course of recovery, we performed a linear mixed-effects model. Statistical significance was set at p < 0.05. Both training sessions resulted in a significant reduction in peak force (PF) that persisted for up to 6 ( p < 0.05) and 24 hours ( p < 0.001). The STR session showed immediate and 24-hour postexercise declines in jump height and reactive strength index modified (RSImod) compared with baseline. The low TFS group exhibited a significant RSImod reduction immediately after HIIT ( p < 0.001), compared with the medium TFS group ( p = 0.0002). In the STR session, the high TFS group displayed an increased eccentric displacement during CMJ 24 hours after exercise compared with baseline ( p = 0.033). Overall, subjects with high TFS may be able to recover CMJ performance at the same rate as other TFS groups, despite performing more work.
... 12 Özellikle, antrenman yoğunluğu, süresi ve tipi gibi değişkenlerin CK seviyeleri üzerindeki etkilerinin daha detaylı incelenmesi, optimal antrenman programlarının geliştirilmesi açısından önem taşımaktadır. 13 Bu çalışmanın amacı, elit futbolcularda fiziksel hazırlık sürecinin CK seviyeleri üzerindeki etkilerini incelemektir. Çalışmada, futbolcuların antrenman programı öncesi ve sonrası CK seviyelerindeki değişimlerin analizi yapılarak, antrenman yüküne verilen biyokimyasal yanıtların anlaşılması hedeflenmektedir. ...
Article
Bu çalışmanın amacı, elit futbolcularda fiziksel hazırlık sürecinin CK seviyeleri üzerindeki etkilerini incelemektir. Bu çalışmada, futbolcu grubunun kısa dönemli takip edilmesiyle elde edilecek bulguların, antrenman programlarının planlanmasında daha geniş bir perspektif sunacağı düşünülmektedir. Araştırmanın evrenini, Türkiye Futbol Federasyonu 2. Liginde bulunan Çorum futbol kulübünde profesyonel futbol oynayan, 18-32 yaş aralığında olan 15 erkek futbolcu oluşturmaktadır. Hazırlık dönem öncesi ve dört haftalık egzersiz programı sonrası katılımcılardan vücut ağırlığı, boy ölçümü ve biyokimyasal verilerden kreatin kinaz alınmıştır. Verilerin analizi SPSS istatistik paket programında p
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Training load is a modifiable risk factor for successive injury in soccer. A systematic review observed the relationship between some sprint GPS variables and non-contact injuries in soccer players. Therefore, an inappropriate sprint workload during the season can increase injury risk and reduce performance. The purpose of this study were to analyse the association between the total distance (TD), high-speed distance (HSD), sprint distance (SD) and repeated sprint (RS) with non-contact injuries in elite soccer players during a season and to observe the injury risk associated between high- (HL) vs. low-load (LL) level for each of sprint variables. Twenty-one male players from professional soccer team participated in the study. External load monitoring was performed by GPS at each training and match session over the whole season. All noncontact injuries (that is, occurring without contact with foreign material or athletes) were recorded. Non-parametric Mann–Whitney U tests were used to compare the median of the load levels of the sprint variables. In order to detect statistically significant inter-group differences between the means of injuries at the HL and LL levels of the mentioned variables. To estimate the risk of having a HL level compared to a LL level, respectively, of each variable, odds ratio (OR) and relative risk (RR) were calculated. Mean injuries were significantly higher in the high load weeks compared to the low load weeks for all sprint variables. The OR and RR of producing some injury without contact was significantly higher in the weeks of high load compared to the weeks of low load in all sprint variables. In addition, significant RR were found for all variables except for RS. The weeks of high-load levels increase the risk of sustaining non-contact injury within elite soccer players. TD, HSD, and SPD variables could potentially track training and may allow exercise prescription to reduce non-contact injuries.
Chapter
Success in sports will always be the main objective of any team. The process to fulfill it must be judicious. Although this has already been studied be several authors, in the Portuguese context, the data are still scarce. Furthermore, there is still a lack of consensus in the specific metrics and actions on field to predict such success. So, this study´s objective was to analyze the most important factors in the processes that led to goal situations, throughout a Portuguese Football Federation team. The sample consisted of 5 senior athletes with the following characteristics: 28.2±0.75 years of age; BMI 22.62±1.13 kg/m2; 16±4.69 years of experience. The instrument used was the GPS Gpexe LT (Version 2.2.8), obtaining the metrics of total distance, high intensity distance, sprint distance, number of accelerations and decelerations. These metrics were analyzed in 24 games in the variables goal/no goal, 1st/2nd half, game home/away, fast attack/positional attack/counter-attack. The results obtained in the 53 shots where superior within the positional attack (n=31), with only 6 resulting in a goal. The means of all actions analyzed were 71.5±22.5m total distance, 9.1±10.8m distance in high intensity, 5.1±12.3m distance in sprint, 0.36±0.5 acceleration and 0.6±0.7 deceleration. Individualizing the attack methods, the counterattack seems to be the method where the greatest high intensity distances (14.2±14.4m) and sprint distances (9.8±14.1m) are present. The 1st half showed superior total distances at all intensities (75.3±22.6m total; 10.8±11.9m high intensity; 8.6±16.3m sprint). Regarding the shots attempts, the distance metrics that did not achieved a goal (72.9±22.7m total; 9.5±11.3m high intensity; 5.6±13.1m sprint) are all higher than those that ended in a goal. However, in the play site, statistically significant differences were found in the accelerations (p=0.025) and decelerations (p=0.024), with home games having an average of 0.52±0.6 accelerations and 0.79±0.7 decelerations. According to the results of this sample, it can be concluded that the most significant physical metrics found are accelerations/decelerations, with the most important variable being the play site, for achieving success in soccer.
Conference Paper
The research aimed to assess the difference in muscle damage between professional and amateur soccer players after a repeated sprint test. Thirty male soccer players (15 amateurs and 15 professionals) underwent a 6x30meter sprint test with 20-second intervals between sprints. The objective was to determine muscle damage based on the concentration of blood enzymes (CK and LDH). Results showed a significant increase in CK and LDH enzyme concentrations after the test, with amateurs exhibiting slightly higher values before the test, but differences decreased after the test. Professional players had similar or slightly lower enzyme values before the test, but post-test levels were comparable or slightly higher compared to amateurs. Analysis also revealed similar trends in CK and LDH enzyme elevation between the two groups, with minimal or insignificant differences. The findings suggest that the repeated sprint test may induce muscle damage in both types of players, but differences between professional and amateur players were not significant. This study provides insight into the potential effects of testing on muscle health in soccer players and indicates the need for further research to better understand the factors influencing muscle damage in this context.
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Los trastornos del sueño son prevalentes en la población general y se considera que son mayores en deportistas, particularmente en los jugadores de soccer, debido a las altas demandas de entrenamiento, los cambios en las reglas del juego y la presión social. Las alteraciones en el ritmo de vigilia y sueño generan alteraciones en los jugadores en su concentración, la ejecución en las jugadas, deserción temprana de jugadores y potencialmente alteraciones en su salud. A pesar de su importancia, no existen suficientes estudios que exploren en el ciclo de jugadores y recientemente de jugadoras profesionales, la posible relación entre la frecuencia de alteraciones, sus consecuencias y cómo se enfrentan estas alteraciones (estrategias de afrontamiento). Por tanto, el objetivo del presente estudio es determinar la prevalencia de trastornos del sueño, sus causas, sus consecuencias y las estrategias de afrontamiento de jugadores y jugadoras en categorías sub – 17 (14 a 17 años) y en mayores de 18 años en una región central de México. Participaron 44 jugadores (hombres y mujeres) titulares de equipos de fútbol que participaron en torneos nacionales de fútbol. Mediante una encuesta directa, se interrogó sobre la presencia de trastornos del sueño, sus causas, consecuencias y cómo intentaron resolver la presencia de esta disfunción fisiológica. Los resultados indicaron una elevada prevalencia de alteraciones del sueño (59%), presentándose más en los hombres mayores y menos en las mujeres jóvenes. Las causas más frecuentes fueron la presión familiar (en mujeres jóvenes) y la presión del entrenador y el entrenamiento en jugadores y jugadoras mayores. Las consecuencias de esta alteración fueron la falta de concentración y ejecución en el juego. El 90% de los jugadores no tuvieron apoyo profesional, Los trastornos del sueño siguen siendo un área activa de investigación y desarrollo. Futuras líneas de investigación deberán explorar estilos de vida saludables, mayor orientación en los deportista, su recuperación física y mental, el manejo de las emociones desde etapas tempranas en la edad de inicio del deporte (habitualmente desde los 14 años de edad), los mecanismos de afrontamiento, el sexo de los participantes, el uso de esquemas de relajación mental y el uso de la tecnología, entre otros, que trazan nuevas rutas para la atención en jugadores de fútbol soccer y otros deportes. Mejores técnicas de dominio mental y corporal y el uso de la tecnología, serán mediadores importantes para disminuir esta disfunción fisiológica. En conclusión, en la población estudiada se encuentra una elevada prevalencia de trastornos del sueño, asociada a presiones familiares, del entrenador o los entrenamientos, que generan en consecuencia falta de concentración y ejecución en el juego y la no existencia de la atención a estos trastornos, por lo que
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Neuromuscular fatigue has traditionally been examined using isolated forms of either isometric, concentric or eccentric actions. However, none of these actions are naturally occurring in human (or animal) ground locomotion. The basic muscle function is defined as the stretch-shortening cycle (SSC), where the preactivated muscle is first stretched (eccentric action) and then followed by the shortening (concentric) action. As the SSC taxes the skeletal muscles very strongly mechanically, its influence on the reflex activation becomes apparent and very different from the isolated forms of muscle actions mentioned above. The ground contact phases of running, jumping and hopping etc. are examples of the SSC for leg extensor muscles; similar phases can also be found for the upper-body activities. Consequently, it is normal and expected that the fatigue phenomena should be explored during SSC activities. The fatigue responses of repeated SSC actions are very versatile and complex because the fatigue does not depend only on the metabolic loading, which is reportedly different among muscle actions. The complexity of SSC fatigue is well reflected by the recovery patterns of many neuromechanical parameters. The basic pattern of SSC fatigue response (e.g. when using the complete exhaustion model of hopping or jumping) is the bimodality showing an immediate reduction in performance during exercise, quick recovery within 1–2 hours, followed by a secondary reduction, which may often show the lowest values on the second day post-exercise when the symptoms of muscle soreness/damage are also greatest. The full recovery may take 4–8 days depending on the parameter and on the severity of exercise. Each subject may have their own time-dependent bimodality curve. Based on the reviewed literature, it is recommended that the fatigue protocol is ‘completely’ exhaustive to reduce the important influence of inter-subject variability in the fatigue responses. The bimodality concept is especially apparent for stretch reflex responses, measured either in passive or active conditions. Interestingly, the reflex responses follow parallel changes with some of the pure mechanical parameters, such as yielding of the braking force during an initial ground contact of running or hopping. The mechanism of SSC fatigue and especially the bimodal response of performance deterioration and its recovery are often difficult to explain. The immediate post-exercise reduction in most of the measured parameters and their partial recovery 1–2 hours post-exercise can be explained primarily to be due to metabolic fatigue induced by exercise. The secondary reduction in these parameters takes place when the muscle soreness is highest. The literature gives several suggestions including the possible structural damage of not only the extrafusal muscle fibres, but also the intrafusal ones. Temporary changes in structural proteins and muscle-tendon interaction may be related to the fatigue-induced force reduction. Neural adjustments in the supraspinal level could naturally be operative, although many studies quoted in this article emphasise more the influences of exhaustive SSC fatigue on the fusimotor-muscle spindle system. It is, however, still puzzling why the functional recovery lasts several days after the disappearance of muscle soreness. Unfortunately, this and many other possible mechanisms need more thorough testing in animal models provided that the SSC actions can be truly performed as they appear in normal human locomotion.
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To investigate the effects of simultaneous explosive-strength and endurance training on physical performance characteristics, 10 experimental (E) and 8 control (C) endurance athletes trained for 9 wk. The total training volume was kept the same in both groups, but 32% of training in E and 3% in C was replaced by explosive-type strength training. A 5-km time trial (5K), running economy (RE), maximal 20-m speed ( V 20 m ), and 5-jump (5J) tests were measured on a track. Maximal anaerobic (MART) and aerobic treadmill running tests were used to determine maximal velocity in the MART ( V MART ) and maximal oxygen uptake (V˙o 2 max ). The 5K time, RE, and V MART improved ( P < 0.05) in E, but no changes were observed in C. V 20 m and 5J increased in E ( P < 0.01) and decreased in C ( P < 0.05).V˙o 2 max increased in C ( P < 0.05), but no changes were observed in E. In the pooled data, the changes in the 5K velocity during 9 wk of training correlated ( P< 0.05) with the changes in RE [O 2 uptake ( r = −0.54)] and V MART ( r = 0.55). In conclusion, the present simultaneous explosive-strength and endurance training improved the 5K time in well-trained endurance athletes without changes in theirV˙o 2 max . This improvement was due to improved neuromuscular characteristics that were transferred into improved V MART and running economy.
Article
Many sports require short duration (~5-7 s) maximal or near-maximal sprints to be regularly repeated over an extended period of time (70-120 min). Performance tests of repeated sprint ability (RSA) are not well established despite their specificity for measuring the fitness of team sport players. Therefore, sprint cycling (6 x 6 s efforts, departing every 30 s) and running (6 x 40 m efforts, departing every 30 s) RSA tests were developed and initially trialled for reliability in amateur male team sport players. Test-retest correlations were significant (p < 0.01) for the absolute RSA test scores, (i.e., total work done (cycling, n = 16; r = 0.973) and total time taken (running, n = 15; r = 0.942) for six efforts), and also for the relative RSA test score, (i.e., the percentage decrement (% Dec.) recorded over six efforts (cycling, r = 0.875; running, r = 0.745)). Repeat scores for individual repetitions within tests were also highly correlated (r = 0.81-0.97) for each mode of exercise, and produced low technical error of measurement scores (cycling: 2.5-4.0%; running: 1.0-1.7%). Therefore, both the cycling and running RSA tests were found to have suitable test-retest reliability. The degree of association between the two modes of RSA test was then assessed in male field hockey players (n = 15). The best single cycling effort (kJ or J.kg1 work done in 6 s) was not significantly correlated with the best running effort (best 40 m time). The absolute RSA test scores (Total kJ or J.kg1 work done versus Total Time) were only correlated when the cycling score was expressed per kg of body mass (r = -0.684, p < 0.01). The relative test scores (% Dec. on each test) were moderately associated (r = 0.622, p < 0.02). Therefore, exercise mode appears to be a determining factor in best single effort and absolute RSA test scores, but less so in relative test performance. The degree of fatigue demonstrated within team sport players over repeated sprint efforts may be similar when either cycling or running efforts are performed. General comments about the testing and scoring of sprint RSA are made.
Article
In soccer, the players perform intermittent work. Despite the players performing low-intensity activities for more than 70% of the game, heart rate and body temperature measurements suggest that the average oxygen uptake for elite soccer players is around 70% of maximum (VO2max). This may be partly explained by the 150-250 brief intense actions a top-class player performs during a game, which also indicates that the rates of creatine phosphate (CP) utilization and glycolysis are frequently high during a game. Muscle glycogen is probably the most important substrate for energy production, and fatigue towards the end of a game may be related to depletion of glycogen in some muscle fibres. Blood free-fatty acids (FFAs) increase progressively during a game, partly compensating for the progressive lowering of muscle glycogen. Fatigue also occurs temporarily during matches, but it is still unclear what causes the reduced ability to perform maximally. There are major individual differences in the physical demands of players during a game related to physical capacity and tactical role in the team. These differences should be taken into account when planning the training and nutritional strategies of top-class players, who require a significant energy intake during a week. © 2007 Ron Maughan for editorial material and selection. Individual chapters the contributors. All rights reserved.
Article
The influence of intermittent exercise on a choice-response time task was investigated. Two groups of 8 male soccer players (M age 20.9, SD=2.0) participated. They spent 4.4 (SD= 1.3) weekly hours on soccer training and had been playing soccer for 13 (SD=3.3) years. Multiple-choice reaction speed and response accuracy were measured four times. Between measurements, one group performed 8-min. blocks of intermittent exercise on a bicycle ergometer and one group rested. Analysis showed that reaction speed and response accuracy were not significantly different between the two groups. Furthermore, there were significant faster reaction times and a larger number of correct reactions through Block 2 in both the exercise and control group (p<.05), probably a result of learning processes and familiarization with the task procedures. Further research towards the specific influence of mode of exercise, intensity, work-rest ratio and duration of intermittent exercise, and the sensitivity of reaction time tasks will be necessary to clarify the relationship between intermittent exercise and cognitive performance.
Article
It is generally accepted that increasing the flexibility of a muscle-tendon unit promotes better performances and decreases the number of injuries. Stretching exercises are regularly included in warm-up and cooling-down exercises; however, contradictory findings have been reported in the literature. Several authors have suggested that stretching has a beneficial effect on injury prevention. In contrast, clinical evidence suggesting that stretching before exercise does not prevent injuries has also been reported. Apparently, no scientifically based prescription for stretching exercises exists and no conclusive statements can be made about the relationship of stretching and athletic injuries. Stretching recommendations are clouded by misconceptions and conflicting research reports. We believe that part of these contradictions can be explained by considering the type of sports activity in which an individual is participating. Sports involving bouncing and jumping activities with a high intensity of stretch-shortening cycles (SSCs) [e.g. soccer and football] require a muscle-tendon unit that is compliant enough to store and release the high amount of elastic energy that benefits performance in such sports. If the participants of these sports have an insufficient compliant muscle-tendon unit, the demands in energy absorption and release may rapidly exceed the capacity of the muscle-tendon unit. This may lead to an increased risk for injury of this structure. Consequently, the rationale for injury prevention in these sports is to increase the compliance of the muscle-tendon unit. Recent studies have shown that stretching programmes can significantly influence the viscosity of the tendon and make it significantly more compliant, and when a sport demands SSCs of high intensity, stretching may be important for injury prevention. This conjecture is in agreement with the available scientific clinical evidence from these types of sports activities. In contrast, when the type of sports activity contains low-intensity, or limited SSCs (e.g. jogging, cycling and swimming) there is no need for a very compliant muscle-tendon unit since most of its power generation is a consequence of active (contractile) muscle work that needs to be directly transferred (by the tendon) to the articular system to generate motion. Therefore, stretching (and thus making the tendon more compliant) may not be advantageous. This conjecture is supported by the literature, where strong evidence exists that stretching has no beneficial effect on injury prevention in these sports. If this point of view is used when examining research findings concerning stretching and injuries, the reasons for the contrasting findings in the literature are in many instances resolved.
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