ArticlePDF AvailableLiterature Review

Abstract and Figures

Fiercer competition between athletes and a wider knowledge of optimal training regimens dramatically influence current training methods. A single training bout per day was previously considered sufficient, whereas today athletes regularly train twice a day or more. Consequently, the number of athletes who are overtraining and have insufficient rest is increasing. Positive overtraining can be regarded as a natural process when the end result is adaptation and improved performance: the supercompensation principle--which includes the breakdown process (training) followed by the recovery process (rest)--is well known in sports. However, negative overtraining, causing maladaptation and other negative consequences such as staleness, can occur. Physiological, psychological, biochemical and immunological symptoms must be considered, both independently and together, to fully understand the 'staleness' syndrome. However, psychological testing may reveal early-warning signs more readily than the various physiological or immunological markers. The time frame of training and recovery is also important since the consequences of negative overtraining comprise an overtraining-response continuum from short to long term effects. An athlete failing to recover within 72 hours has presumably negatively overtrained and is in an overreached state. For an elite athlete to refrain from training for > 72 hours is extremely undesirable, highlighting the importance of a carefully monitored recovery process. There are many methods used to measure the training process but few with which to match the recovery process against it. One such framework for this is referred to as the total quality recovery (TQR) process. By using a TQR scale, structured around the scale developed for ratings of perceived exertion (RPE), the recovery process can be monitored and matched against the breakdown (training) process (TQR versus RPE). The TQR scale emphasises both the athlete's perception of recovery and the importance of active measures to improve the recovery process. Furthermore, directing attention to psychophysiological cues serves the same purpose as in RPE, i.e. increasing self-awareness. This article reviews and conceptualises the whole overtraining process. In doing so, it (i) aims to differentiate between the types of stress affecting an athlete's performance: (ii) identifies factors influencing an athlete's ability to adapt to physical training: (iii) structures the recovery process. The TQR method to facilitate monitoring of the recovery process is then suggested and a conceptual model that incorporates all of the important parameters for performance gain (adaptation) and loss (maladaptation).
Content may be subject to copyright.
Overtraining and Recovery
A Conceptual Model
Göran Kenttä and Peter Hassmén
Department of Psychology, Stockholm University, Stockholm, Sweden
Abstract
Fiercer competition between athletes and a wider knowledge of optimal train-
ing regimens dramatically influence current training methods. A single training
bout per day was previously considered sufficient, whereas today athletes regu-
larly train twice a day or more. Consequently, the number of athletes who are
overtraining and have insufficient rest is increasing.
Positive overtraining can be regarded as a natural process when the end result
is adaptation and improved performance; the supercompensation principle –
which includes the breakdown process (training) followed by the recovery pro-
cess (rest) – is well known in sports. However, negative overtraining, causing
maladaptation and other negative consequences such as staleness, can occur.
Physiological, psychological, biochemical and immunological symptoms must
be considered, both independently and together, to fully understand the ‘staleness’
syndrome. However, psychological testing may reveal early-warning signs more
readily than the various physiological or immunological markers.
The time frame of training and recovery is also important since the conse-
quences of negative overtraining comprise an overtraining-response continuum
from short to long term effects. An athlete failing to recover within 72 hours has
presumably negatively overtrained and is in an overreached state. For an elite
athlete to refrain from training for >72 hours is extremely undesirable, highlight-
ing the importance of a carefully monitored recovery process.
There are many methods used to measure the training process but few with
which to match the recovery process against it. One such framework for this is
referred to as the total quality recovery (TQR) process. By using a TQR scale,
structured around the scale developed for ratings of perceived exertion (RPE),
the recovery process can be monitored and matched against the breakdown (train-
ing) process (TQR versus RPE). The TQR scale emphasises both the athlete’s
perception of recovery and the importance of active measures to improve the
recovery process. Furthermore, directing attention to psychophysiological cues
serves the same purpose as in RPE, i.e. increasing self-awareness.
This article reviews and conceptualises the whole overtraining process. In
doing so, it (i) aims to differentiate between the types of stress affecting an ath-
lete’s performance; (ii) identifies factors influencing an athlete’s ability to adapt
to physical training; (iii) structures the recovery process. The TQR method to
facilitate monitoring of the recovery process is then suggested and a conceptual
model that incorporates all of the important parameters for performance gain
(adaptation) and loss (maladaptation).
LEADING ARTICLE
Sports Med 1998 Jul; 26 (1): 1-16
0112-1642/98/0007-0001/$08.00/0
© Adis International Limited. All rights reserved.
1. Definitions, Symptoms and Time
Frame of Overtraining and its Effects
Modern-day sport, particularly at the elite level,
is fiercely competitive. With more information
now available from sports-related research, exer-
cise scientists, coaches and athletes know more
today about optimal training regimens than ever
before. Consequently, training methods have
changed dramatically.
[1,2]
Training for success has increasingly become a
balance between achieving peak performance and
avoiding the negative consequences of overtrain-
ing. Training volumes below what can be consid-
ered optimal do not result in the desired adaptation
(i.e. the greatest possible gain in performance),
whereas training volumes above the optimum may,
among other things, lead to a condition usually
referred to as the ‘overtraining syndrome’, ‘stale-
ness’ or ‘burnout’. Hard training can apparently be
the formula for both success and failure.
To date, rest (physical inactivity) is the best
known treatment for athletes who have reached an
undesirable state because of prolonged excessive
training.
[2-6]
Rest, however, is avoided by most ath-
letes since it is diametrically opposed to their in-
stinctive response when a decline in performance
occurs. Highly motivated athletes and coaches usu-
ally respond to a plateau or drop in performance
with increases in the training load.
[2,3]
Con-
sequently, it has been asserted that the greatest
training-related factor leading to negative states is
a failure to include enough recovery in the training
programme.
[1]
It follows that an imbalance be-
tween training and recovery will have mild to se-
vere negative consequences on performance.
[4]
There are no generally accepted definitions for
the terminology concerning the negative conse-
quences associated with excessively hard physical
training. Furthermore, the terms used have differ-
ent meanings in different contexts. Terms used in
connection with overtraining include overtraining
syndrome, overtrained, overstrained, overused,
overworked, overstressed, overreaching, stagna-
tion, staleness, staleness syndrome, burnout and
chronic fatigue syndrome.
[2,4,5,7-9]
In this article,
the conditions overreached and staleness are used
and are considered to be at opposite ends of an
overtraining-response continuum. An athlete fail-
ing to recover within 72 hours has presumably neg-
atively overtrained and is in an overreached state
(a short term effect). The long term effect (stale-
ness) results from more severe overtraining, is at
the other end of this continuum.
Originally, ‘burnout’ was most often used in the
literature in connection with studies of the human
service and help professions.
[10]
More recently,
Smith
[11]
extended the use of the term burnout to
include athletes. There is, however, some disagree-
ment about whether burnout really should include
‘stale’ athletes or not. Raglin
[2]
has argued that
burnout should be distinguished and viewed sepa-
rately from staleness. The main difference between
the 2 related syndromes, according to Raglin,
[2]
is
that loss of motivation (and withdrawal in severe
cases) is a central characteristic of burnout but not
of staleness. A stale athlete may still be highly
motivated to continue training and may even in-
crease the training load to compensate for a de-
crease in performance. Thus, it is important to con-
sider them separately.
Taken together, the various terms used seem,
nevertheless, to describe a single syndrome, most
often referred to in the literature as the staleness (or
overtraining) syndrome.
[2-5,6,9,12,13]
Many negative
consequences have been associated with this syn-
drome, and some of those most commonly reported
include:
poorer performance
severe fatigue
muscle soreness
overuse injuries
reduced appetite
disturbed sleep patterns
mood disturbances
immune system deficits
concentration difficulties.
[12,14,15]
In addition, decreased submaximum and max-
imum heart rates, decreased maximum oxygen up-
take, as well as decreased submaximal and maximal
lactate levels, have also been reported in connec-
2 Kenttä & Hassmén
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
tion with the negative consequences of too much
training with too little recovery.
[3,16]
Many of the
variations reported in the literature are, however,
equivocal. That is, some studies associate staleness
with increases in some specific variable, such as
heart rate, whereas other studies associate staleness
with decreases with that variable.
[3,7,14]
One possi-
ble explanation might be that different forms of
staleness exist.
Two distinct and separate types of staleness
have also been proposed, namely the sympathetic
and parasympathetic overtraining syndromes.
[3-5,7]
The sympathetic form is characterised by increased
sympathetic activity at rest while the parasympa-
thetic form is characterised by decreased sympa-
thetic activity with parasympathetic activity dom-
inating at rest and during exercise. It is believed
that the sympathetic overtraining syndrome is an
intermediate stage before parasympathetic over-
training. Markers associated with parasympathetic
overtraining are low resting heart rate and rela-
tively low exercise heart rate, while markers asso-
ciated with sympathetic overtraining are increased
resting and exercise heart rates.
[3,9,17]
Based on the aforementioned observations and
the problems identified, the aim of the remainder
of this article is to: (i) review and conceptualise the
overtraining process; (ii) differentiate between the
various types of stress that may affect an athlete’s
performance; (iii) identify factors that may affect
the athlete’s ability to adapt to physical training;
and (iv) structure the recovery process. In addition,
a new method called total quality recovery (TQR)
is suggested to facilitate monitoring of the recov-
ery process in order to reduce some of the negative
effects associated with hard physical training.
Finally, a conceptual model is presented which
incorporates all of the parameters thought to be of
importance for performance gains (i.e. adaptation)
or performance losses (maladaptation).
1.1 Markers and Symptoms of the Negative
Effects of Overtraining
The difference between positive and negative
overtraining depends on the outcome of the train-
ing process. An athlete failing to recover within 72
hours of training has presumably worked too hard
and thereby experiences negative overtraining and
can be considered to be in an overreached state.
This time frame is chosen from the elite athlete’s
perspective; if >72 hours are needed to recover,
this is definitely regarded as a failure in the training
programme. The fierce competition among elite
athletes means that a loss of training days and dis-
rupted training (i.e. forced rest for >72 hours)
would be extremely undesirable. Thus, our defini-
tion of positive overtraining conforms to the defi-
nition of the overtraining process by Raglin.
[2]
In addition, Morgan et al.
[6]
emphasised the need
to view, define and separate the cause (process) and
consequence (product) of overtraining. Raglin
[2]
later defined the training stimulus as ‘ . . . an over-
training process involving progressively increased
training to a high absolute level that is in excess of
more routine training undertaken to maintain per-
formance’. Raglin’s definition actually describes 3
degrees of training: (i) overtraining (in this case,
positive overtraining) for eliciting gains in perfor-
mance; (ii) maintenance training to remain at a cer-
tain level of performance; and (iii) undertraining
when the stress is insufficient to maintain perfor-
mance (resulting in a decrease in performance).
Negative overtraining may result in the same de-
crease in performance capacity as undertraining,
which is noteworthy. All training programmes will
fall into one of these categories. Hence, the actual
training performed (process) will determine the re-
sult (product).
Fry et al.
[7]
defined 4 major categories of symp-
toms associated with the staleness syndrome,
namely:
physiological symptoms
psychological symptoms
biochemical symptoms
immunological symptoms.
To date, studies of the staleness syndrome have
often tried to identify reliable early-warning signs
(markers) to prevent the undesired negative out-
come of hard physical training. Although observed
physiological and biochemical symptoms have
Overtraining and Recovery 3
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
been effective in confirming the staleness syn-
drome, they have not been useful in preventing
it.
[18]
Other reports corroborate these findings by
stating that the value of physiological and bio-
chemical markers is still unclear.
[3,19]
One reason
for this is the inherent difficulty of distinguishing
between adaptation, a result of thoughtfully de-
vised training programmes, and maladaptation, the
point at which the benefits of adaptive training
begin to wane because of excessive training. This
is particularly evident during the course of heavy
training when some decrease in performance capac-
ity is expected. In most athletes, it is only possible
to determine whether a training cycle is adaptive or
maladaptive after it has been concluded. In some
extreme instances, this can be difficult even after
the training cycle.
A recent example illustrates the difficulty in dis-
tinguishing between adaptation and maladaptation.
A Swedish world class cross-country skier main-
tained heavy training for 20 years and never won a
gold medal in the 50km event at the national level.
He took 1 year off (only engaging in light training)
and returned to competition in 1996, when he won
his first gold medal at the age of 35. In this skier,
it might have been difficult to clearly distinguish
between adaptive and maladaptive training at any
stage during the 20-year period.
A closely related problem seems to be the un-
certainty of whether the symptoms noted precede
staleness [or occur early in the development of the
disorder (overreaching)] or are merely manifesta-
tions of the staleness syndrome.
[2]
To distinguish
between preceding markers or early-warning signs
with prognostic value and symptoms with diagnos-
tic value (when the disorder has been verified) is
extremely difficult in most applied situations.
Hence, markers and symptoms are used synony-
mously throughout this article unless otherwise in-
dicated.
Partly because of these aforementioned difficul-
ties, Shephard and Shek
[20]
concluded that psycho-
logical testing provides both easier and more effec-
tive methods for detecting the staleness syndrome
than methods dependent on various physiological
or immunological markers.
[21,22]
Four advantages
of using psychological markers to identify and
monitor the overtraining process have been re-
ported by O’Connor.
[22]
(1) Psychological changes are more reliable, i.e.
mood shifts coincide with increases and decreases
in training and are also highly replicable.
(2) Some mood states are highly sensitive to in-
creases in the training load (changes in these states
occur early on and have large effects) while others
are more sensitive to the staleness syndrome.
(3) Variations in measures of mood often correlate
with those of physiological markers.
(4) The titration of training loads based on mood
responses to overtraining appears to have good
potential for preventing staleness.
It should be noted that a recent study reported
that 1 out of 3 stale athletes did not show the antici-
pated mood response.
[23]
This suggests that mood
inventories may not always differentiate between
‘stale’ and ‘not stale’ athletes. However, there are
several limitations of this study that should be
highlighted. For example, response distortion was
not controlled for, no preseason mood assessment
was made to obtain baseline scores and mood was
only assessed 5 times. Nevertheless, this study
emphasised the need for well designed, long term
monitoring studies to determine how to prevent
staleness.
[24]
The 4 major categories of symptoms
mentioned at the start of section 1.1 all need to be
considered since they are inter-related. This in turn
lends support to the view that the staleness syn-
drome should be regarded as a psychobiological
phenomenon.
[2]
To summarise, there are various ways to classify
the different staleness symptoms and markers (i.e.
negative consequences). We suggest including all
of the consequences of negative overtraining into
the physiological, psychological, biochemical (or
neuroendocrinological) and immunological cate-
gories defined by Fry et al.
[7]
This list could easily
be extended to include behavioural and perceptual
changes, for example, but even with more catego-
ries, it remains difficult to fit some symptoms into
a single category. Some symptoms can show dif-
4 Kenttä & Hassmén
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
ferent characteristics, depending on how they are
viewed. Appetite, for example, is primarily regu-
lated physiologically but it also has some psy-
chological dimensions. It seems that most of the
symptoms overlap between 2 or more categories.
Nevertheless, the 4 categories provide a good sem-
antic overview of the different bodily symptoms
that are associated with the staleness syndrome.
1.2 Long Term versus Short Term Aspects of
the Overtraining-Response Continuum
The overtraining process and its associated
symptoms may be viewed over a continuum from
short term (acute) to long term (chronic), as de-
scribed by Marion
[14]
and Kuipers.
[17]
It follows
that some borderline athletes will be difficult to
diagnose as being either ‘stale’ or ‘not stale’ when
their condition is measured on a continuum.
[8]
Thus, the border between adaptation as a result of
optimal training and the beginning stages of mal-
adaptation due to excessive training is fluid, espe-
cially during a phase of heavy training, as dis-
cussed in section 1.1.
[3]
This is why optimal
training can so easily lead to an overreached state.
Because of the overtraining-response continuum it
is also difficult to know whether observed symp-
toms are related to normal training fatigue, short
term overreaching or long term staleness.
[7]
Some
symptoms occur along the whole continuum while
others only occur at a particular stage. Interest-
ingly, a recent report asserts that fatigue and vigour
are sensitive to short term conditions while depres-
sion is more sensitive to long term conditions.
[22]
Declines in performance, which are regarded as the
hallmark of staleness,
[2]
occur together with in-
creases in perceived effort during training along
the whole continuum.
[25,26]
No consensus has been
reached regarding the extent to which performance
will decline at different stages along the contin-
uum.
[19]
The decline in performance may also vary
with overtraining across different sports, although
published data on this are very scarce. If the com-
parison is extended to cover performance decline
in, for example, all the distances for running
events, the problem becomes even more complex.
The effects of these confounding factors need to be
addressed and related to the 4 different categories
of symptoms.
Interindividual differences in recovery poten-
tial, exercise capacity, nontraining stressors and
stress tolerance may explain the different degrees
of staleness syndrome experienced by athletes
under identical training stresses.
[3]
In athletes with
less severe staleness, the markers are milder and
athletes can still train at their usual level, but at the
cost of greater difficulty to maintain any given sub-
maximal performance (e.g. running speed) and
increased perception of effort.
[27]
Hence, there is
convincing evidence to support the view that the
staleness syndrome exists on a continuum from
short term to long term effects. Consequently, gen-
eral and simplified guidelines for diagnosing stale-
ness should allow for mild through to severe symp-
toms. Milder symptoms generally predict a shorter
time for sufficient recovery from the staleness
syndrome and more severe symptoms, following
larger declines in performance, require a longer
time for recovery. ‘Stale’ athletes, for example, do
not respond well to reductions in training com-
pared with overreached athletes. As well as the
problem of setting diagnostic criteria for different
degrees of the staleness syndrome, another difficult
question is whether to look for qualitative or quan-
titative symptoms. To avoid oversimplified distinc-
tions, the whole continuum will be defined in this
article as the overtraining-response continuum.
As explained earlier in this article, overreached
and staleness are regarded as opposite extremes of
the overtraining-response continuum. This contin-
uum excludes acute fatigue that occurs immedi-
ately after exercise, acute muscular overstrain,
undertraining, maintenance training and all other
prefatigued states considered normal training re-
sponses and which are always followed by a full
recovery in the short term. The overreached state
was chosen as the starting point on the overtrain-
ing-response continuum because it is beyond this
point in the training process that negative over-
training (maladaptation) can occur if an athlete is
not carefully monitored.
Overtraining and Recovery 5
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
Staleness is thus regarded as a severe long term
effect of an imbalance between the total stressors
(training and nontraining) and total recovery,
which is largely determined by the overall capacity
(stress tolerance) of the individual. Overreaching
is regarded as a far less severe, short term effect,
also resulting from an imbalance between total
stress and total recovery and determined by the
overall capacity. Both conditions are regarded as
possible products of negative overtraining.
1.3 Reasons for the Confusing Terminology
The lack of consensus regarding the terminol-
ogy of overtraining is a factor of great concern.
This was stressed by O’Connor,
[22]
who stated that
perhaps the greatest barrier to further progress in
this area of research is: (i) the existing confusion
over terminology; and (ii) the lack of established
diagnostic criteria for staleness. Other authors ad-
dress this problem by proposing the development
of an international standard with regard to term-
inology.
[7,19]
The confusion in terminology is in part due to
different theories and types of research. It is also
caused, to a considerable extent, by language bar-
riers and poor translation of reports. One reason for
poor translation is the lack of equivalent terms.
Other factors for confusion can be explained by
tradition and different cultures. European authors
have mainly used the terms overstrained, overtrain-
ing, overstrain and overtraining syndrome to indi-
cate what some US researchers refer to as staleness
or the staleness syndrome.
[22]
When studies are performed within various
disciplines, for example physiology and psychol-
ogy, differences in terminology may occur. These
differences could simply be due to the different per-
spectives in the deductive research on the psycho-
physiological overtraining phenomenon. Physio-
logical studies by Fry et al.
[7]
and Kuipers and
Keizer
[4]
use the term overload to describe the
training process, whereas psychological studies by
Morgan et al.
[6]
and Raglin
[2]
use the term over-
training. Physiologists and psychologists also dif-
fer in the use of terminology regarding the short
term to intermediate stage of the staleness syn-
drome. The term overreaching is mainly used by
physiologists,
[4,7,9]
whereas distress has been used
by the psychologists
[2,6]
to describe a less severe
state of staleness. Historically, it seems that once a
term has been established, the related studies adopt
it regardless of whether it is ultimately useful or
confusing.
2. Structuring the Overtraining and
Recovery Processes
It is evident from the studies referred to so far
in this article that there is a need to formally struc-
ture both the overtraining and recovery processes.
Only when the terminology and symptoms have
been clearly defined and incorporated into a larger
framework can a better understanding of how to
avoid training methods that may lead to staleness
be achieved. Five main areas need to be addressed
to achieve this understanding of the staleness syn-
drome.
(1) The fact that most conditions on the overtrain-
ing-response continuum are associated with per-
formance decrements and other negative conse-
quences. That is, increased training is not always
beneficial for enhanced performance.
(2) The lack of accepted tests and standard criteria
available to accurately place an overtrained athlete
on the overtraining-response continuum prohibits
clearer diagnoses. It is during periods of heavy
training (i.e. overtraining) that the most critical and
difficult diagnoses have to be made.
(3) The obvious need to develop a reliable and eas-
ily managed method to monitor training (i.e. the
breakdown process) is of the utmost concern. Such
a method could then be matched with a similar
method designed to measure recovery.
(4) The need to define the markers of recovery and
thereby extend the monitoring system to cover the
whole process of training and recovery.
(5) The need to integrate reliable markers into the
training monitoring system to prevent negative
overtraining (training that results in overreaching
and staleness).
6 Kenttä & Hassmén
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
3. Factors Contributing to Staleness
The main factor leading to staleness is inade-
quate recovery (section 5). However, stress and an
individual’s capacity for training also contribute.
3.1 Categories of Stress
Lehman et al.
[3]
suggested yet another defini-
tion of the staleness syndrome which stated that
. . . staleness syndrome is an imbalance between
training and recovery, exercise and exercise capac-
ity, stress and stress tolerance. Stress is the sum of
training and nontraining stress factors’. By this
definition, different types of stress contribute to the
total level of stress which may provoke, and result
in, staleness. Hopefully, this notion will encourage
researchers to consider a greater number of poten-
tial stressors in future overtraining studies. Know-
ledge of the process behind staleness would cer-
tainly benefit from identifying a larger number of
stressors and examining their interactions and
cumulative effects.
Morgan et al.
[6]
showed that the main contribu-
tor to staleness was the sport-specific stress created
by training (physiological stress). It was later dem-
onstrated that physiological stress alone can lead
to staleness.
[28]
It is unclear, however, to what ex-
tent nontraining stress factors can provoke stale-
ness. It has been suggested that the staleness syn-
drome can develop in an athlete who experiences
relatively low physiological stress, provided that
psychological and social stress factors are high.
[7]
Hence, occupational, educational and social stres-
sors should not be disregarded as potential contrib-
utors to the staleness syndrome.
[3]
Budgett
[5]
also
suggested that it is likely that only a small increase
in the total stress might suddenly and unexpectedly
elicit staleness. The onset of this staleness was
caused by an increase in psychological and/or
social stress which lead to an inability to recover
from a previously well-tolerated training pro-
gramme (physiological stress). It therefore appears
to be important to evaluate the cumulative level of
stress, and training stress might need to be adjusted
while high levels of nontraining stressors (psycho-
logical problems or social conflicts) are present in
an athlete. A preliminary study reported that per-
ceived conflicts, occurring during the past 3 to 4
days (nights), had a substantial effect on recovery
and thereby also affected performance.
[29]
In conclusion, the different stressors that may to
contribute to the staleness syndrome include psy-
chological, social and physiological training
stressors.
3.2 Capacity for Stress Tolerance
Athletes of comparable physical ability may
have different responses to a given overtraining
stimulus.
[30]
This indicates that athletes may differ
in their vulnerability to developing staleness,
which can be explained by individual differences
in psychobiological characteristics or capacity.
The same training stimulus may improve one ath-
lete’s performance, only maintain the performance
by another and cause staleness in a third ath-
lete.
[2,31]
Research findings among college swim-
mers indicate that athletes may indeed differ in
their susceptibility to staleness.
[27]
For example,
there is some evidence that, compared with indi-
viduals with normal anxiety, individuals with ele-
vated anxiety perceive and rate the intensity of a
given stressor as being greater.
[18]
Individuals who
exhibit an elevated anxiety trait could therefore be
regarded as having a lower capacity for tolerating
stress and may be more likely to develop staleness.
This gives us 3 different capacities that deter-
mine vulnerability to developing the staleness syn-
drome: psychological, social and physiological ca-
pacity.
4. Mechanisms of the Breakdown
(Training) Process
The main principle behind all physical training
aimed at improving performance is known as the
supercompensation principle.
[32,33]
This entails the
breakdown (training) process followed by the re-
covery (rest) process, which results in an ‘over-
shoot’, or rebound, in performance and adaptation.
The more intense the training, the greater the break-
down. High intensity training therefore demands
Overtraining and Recovery 7
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
higher quality recovery than low intensity training.
Consequently, high intensity training also demands
a longer recovery period than low intensity train-
ing. The athlete undertaking high intensity training
would therefore benefit from high quality recovery
more than an athlete undertaking low intensity
training. Purposeful (positive) overtraining, in
contrast to negative overtraining which may even-
tually lead to staleness, is a central feature of a well
designed training programme to stimulate peak
performance. It is important, however, that the
overtraining period is followed by a period of suf-
ficient tapering, usually through a combination of
easier training and more rest units, to allow full
supercompensation.
[5]
Thus, the physiological
homeostasis must first be disturbed, whereupon
sufficient recovery must be allowed for full super-
compensation to occur. This explains why individ-
uals with superior physical fitness need to exercise
harder to improve performance than individuals
who are less fit. It also explains why overtraining,
on the one hand, can be regarded as positive when
supercompensation is the end result or, on the other
hand, negative when maladaptation occurs.
For the purposes of this review article, all single
training bouts that are sufficiently intense and/or
long enough to disturb the physiological homeo-
stasis are regarded as an overload stimulus that will
provoke and initiate the breakdown process. The
recovery and restoration of homeostasis, and also
the supercompensation that occurs if the allowed
recovery period is sufficient, is regarded as a full
recovery process. The breakdown and recovery
processes could also be viewed as one isolated pro-
cess initiated by an overload stimulus, the recovery
process being the most important phase of this sin-
gle process.
[17]
This process of breakdown and re-
covery, when initiated by a single training bout, is
referred to as a training and recovery unit. A sequ-
ence of many repeated units creates the overtrain-
ing process. It is worth noting, however, that 1 unit
alone should not cause negative consequences as-
sociated with any state of overreaching or staleness
on the overtraining-response continuum.
Coaches and athletes can choose between the
many methods of regulating and monitoring train-
ing intensity and volume. The well known methods
include the use of: (i) percentage of maximum heart
rate; (ii) percentage of 1 repetition maximum;
(iii) objective speed measures; and (iv) subjective
speed scales (1 = low speed, 3 = threshold and 5 =
maximum speed). Subjective rating scales of per-
ceived exertion,
[34,35]
for example, are frequently
used to regulate and monitor the intensity with which
the exercise is performed. Clearly, much research
effort has been devoted to developing methods to
monitor the breakdown process (i.e. through mon-
itoring training intensity), compared with the lack
of methods for measuring the recovery process.
5. The Recovery Process
5.1 Matching the Recovery Process to
the Stress
The main factor responsible for the staleness
syndrome is a lack of sufficient recovery after
heavy physical training. This makes it important to
select appropriate recovery methods that are
matched against the training stimulus.
[14]
In con-
trast to the diversity of specific methods for mea-
suring the breakdown process, very few methods
to match the recovery process against the break-
down process have been reported. Some general
and incomplete suggestions for implementing op-
timum recovery processes have been made but, in
most cases, the suggested strategies were not re-
lated to the actual breakdown process.
[7]
Another problem is that suggestions for the op-
timum recovery process are rarely differentiated as
being proactive (preventing the occurrence of
staleness) or reactive (rehabilitation from stale-
ness). This distinction is a very important one be-
cause there are considerable advantages in prevent-
ing staleness rather than merely treating it with
complete rest.
5.2 Different Types of Recovery
It has been suggested that the best way to treat
overstress (which may comprise physical over-
8 Kenttä & Hassmén
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
training, psychosocial stresses or a combination of
these) is by matching the treatment with the spe-
cific symptoms.
[36]
If somatic or cognitive over-
stress occurs, it should be treated by matched in-
tervention methods. The same type of matching
principle also applies to overtraining. It is sug-
gested that overall recovery from overtraining and
psychosocial stressors will benefit from appropri-
ate, matched recovery methods aimed at the area
that is in the greatest need.
[17]
Hence, it is logical
to expect the greatest benefits to occur when over-
stress caused by social conflicts is addressed by
treating the major cause of the particular stress,
rather than treating other less important causes of
stress.
A number of authors have emphasised the need
to identify the probable causes of staleness and the
need to match these with sufficient rest, sleep, re-
laxation, nutrition or other needed interven-
tions.
[4,37-39]
Among the different approaches di-
rected towards such recovery, 4 main categories
have been identified: nutrition and hydration, sleep
and rest, relaxation and emotional support, and
stretching and active rest.
5.2.1 Nutrition and Hydration
Individuals failing to ingest sufficient carbohy-
drates to match the energy demand of heavy train-
ing have been shown to develop signs of stale-
ness.
[28,30]
A poor diet with an insufficient caloric
and fluid intake, particularly one lacking in carbo-
hydrates, will decrease the capacity to tolerate
physiological stress (training). It is well known
that the replenishment of glycogen and fluid stores
is necessary to tolerate frequent, intense bouts of
training. This might be the most important factor
in maintaining high intensity training. Fluid is nec-
essary for more than maintaining performance
capacity alone; each gram of carbohydrate requires
3g of water to bind to muscle glycogen. Insuffi-
cient fluid intake will thus inhibit performance by
allowing less glycogen to be stored. To utilise an
individual’s carbohydrate storage limit (approxi-
mately 1000g), 3000g of water is needed for it to
bind to muscle glycogen.
[40]
5.2.2 Sleep and Rest
The most frequently mentioned factor for en-
hancing recovery is the most obvious one, rest. In
this sense, rest means engaging in no physical ac-
tivity (passive recovery during the daytime) and
obtaining sufficient sleep.
[41]
5.2.3 Relaxation and Emotional Support
A few studies have shown that mental training
might help to prevent staleness.
[42-44]
This effect
has been explained by an increased recovery ca-
pacity or increased stress tolerance.
[42]
Relaxation
techniques, the use of flotation tanks, massages
and saunas have also been suggested by Marion
[14]
as proactive recovery interventions. ‘Time-out’ pe-
riods from training are recommended for prevent-
ing athletes from becoming totally preoccupied
with their sport. The learning and practice of relax-
ation and visualisation techniques by athletes is
also recommended.
[43,44]
Regeneration strategies have been widely used,
particularly in the former eastern European coun-
tries. These involve a reduction of all nonspecific
training stressors (i.e. occupational, educational,
financial and social stressors) by incorporating
rest, sleep, relaxation therapy, counselling, physio-
therapy, saunas and massage into the routine of the
athlete. Eliminating or minimising nontraining
stressors is another strategy used by sport psychol-
ogy consultants.
[5]
5.2.4 Stretching and Active Rest
Active rest, meaning low volume and low inten-
sity training, may accelerate the recovery pro-
cess.
[14]
Budgett
[5]
highlights the fact that active
rest should be provided through participation in a
different sport in which no measure of the athlete’s
performance is available. In this way, exercise is
used as a therapeutic tool to speed up recovery.
Stretching has effects similar to massage and active
rest, in that it increases the blood flow through the
muscle.
[45]
Overtraining and Recovery 9
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
6. Proposed Method for Monitoring
Training and Adequate Recovery
No model cited in the current literature presents
a reliable method for monitoring both training and
recovery.
[7,46]
Elite athletes and their coaches need
a system to monitor training and recovery – a sys-
tem that incorporates reliable markers which
would be useful in preventing the staleness syn-
drome. The system must function on a daily basis
and allow quick access to information about varia-
tions in selected markers. Such as system would
present the possibility of immediately and simulta-
neously titrating the training load and the recovery
and prevent negative overtraining.
A framework for the training and recovery pro-
cess, henceforth referred to as the TQR process, has
been developed for this purpose.
[47]
The TQR pro-
cess is described in detail in section 6.2. To date,
most investigations have been focused on structur-
ing the recovery process. Some pilot research in
elite Swedish kayakers has produced positive re-
sponses from the athletes.
[47]
The main purpose of
developing this recovery system was to prevent the
occurrence of the staleness syndrome (through pro-
active recovery) and thereby optimise the balance
between training and recovery. This also reduces
the risk of overuse injuries and infections which,
in turn, helps to reduce the loss of available training
days. In other words, helps athletes to remain
healthy and capable of maintaining their training
programme. To make the TQR process user-
friendly and to relate it to the actual breakdown
process, the scale for the recovery process was
structured on the concept of the scale developed for
ratings of perceived exertion (RPE) [fig. 1].
[34,35]
The RPE scale and the concept of perceived exer-
tion have been used extensively since the scale was
first described by Borg
[34,35]
and are described in
reviews by Noble and Robertson
[48]
and Watt and
Grove.
[49]
6.1 Why Monitor Training Through Ratings of
Perceived Exertion?
Studies
[48,49]
support the hypothesis that the
sense of physical effort is best conceptualised as a
complex psychobiological construct such as RPE,
as originally proposed by Borg
[34]
(see also the
model proposed by Hassmén
[50]
). RPE is usually
accurate in estimating the intensity of an exercise
stimulus.
[18]
Athletes have also demonstrated the
ability to reproduce a certain described level of
RPE, i.e. they can self-monitor the intensity of an
exercise.
[51]
Together, these qualities facilitate a
valid and reliable method for exercise prescription
and monitoring.
Training intensity and exercise duration are the
most critical factors which, together, determine the
total physiological stress, i.e. the magnitude of the
breakdown process.
[20]
The RPE technique can be
used as a tool for accurately estimating exercise
intensity. An additional benefit of using RPE is the
resulting greater focus on the cognitive aspects
(self-awareness) of the athletes, as opposed to re-
lying on physiological cues alone. These cognitive
aspects become relevant when the athletes are re-
quired to focus on overall psychophysiological
cues to rate the perceived effort.
[48]
Since the staleness syndrome is regarded as a
psychobiological phenomenon, the method used for
Ratings of perceived
exertion (RPE)
Total quality recovery (TQR)
6
7 Very, very light
8
9 Very light
10
11 Fairly light
12
13 Somewhat hard
14
15 Hard
16
17 Very hard
18
19 Very, very hard
20
6
7 Very, very poor recovery
8
9 Very poor recovery
10
11 Poor recovery
12
13 Reasonable recovery
14
15 Good recovery
16
17 Very good recovery
18
19 Very, very good recovery
20
Fig. 1. The ratings of perceived exertion (RPE) scale for athletic
training and the total quality recovery (TQR) scale (reproduced
from Borg
[35]
and Kenttä,
[47]
respectively, with permission).
10 Kenttä & Hassmén
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
monitoring exercise intensity should also consider
psychological aspects. A study demonstrated that
RPE increases significantly at given workloads in
athletes who experience staleness.
[18]
Another
study found that changes in the RPE
:
blood lactate
level ratio was a reliable predictor of staleness and
was most suitable for field settings.
[26]
Since no
reliable markers on the overtraining-response con-
tinuum have been established, the most sensitive
instrument currently available for detecting the dif-
ferent degrees of staleness is the athlete’s own
body.
[17]
Consequently, the use of RPE in applied
exercise settings could be a valuable tool in the
detection of staleness.
6.2 Why Monitor Recovery Through the
Total Quality Recovery Process?
To enable the measurement of the recovery pro-
cess, the TQR scale, which is similar to the ordin-
ary RPE scale, was developed.
[47]
The aim of de-
veloping the TQR scale was to provide a means to
measure psychophysiological recovery (fig. 1).
The use of a TQR scale makes it possible to
monitor, and potentially accelerate, the recovery
process simply by providing a more complete un-
derstanding of the actions necessary for achieving
a total recovery. The need to educate both athletes
and coaches to enhance the recovery process has
been clearly stated by other authors.
[52]
By using a
predefined scale, users will not only be more aware
of the complexities of the recovery process, they
will also easily see how actions taken translate into
an improved recovery after actual training.
The suggested TQR scale is divided into 2 sub-
scales. The first, and easiest to use in applied set-
tings, is termed the TQR perceived (TQRper)
scale. The second, more complex subscale is re-
ferred to as the TQR action (TQRact) scale. The
purpose of these subscales is to create one more
subjective (TQRper) and one more objective
(TQRact) scale, thereby integrating qualitative and
quantitative aspects of the recovery process.
The TQRper scale emphasises the athlete’s per-
ception of recovery. The athlete is asked before
bedtime to rate their recovery as an overall psycho-
physiological rating for the previous 24 hours, in-
cluding the previous night’s sleep. Directing the
athletes attention to psychophysiological cues
(mood states and bodily signals such as sensations
of soreness, heaviness, etc.) serves the same pur-
pose as in RPE, i.e. increasing self-awareness.
Since this is a highly individualised measurement,
it should be used primarily to detect intra-individ-
ual changes.
The TQRact scale grades and monitors actions
(i.e. individual proactive recovery interventions)
which, potentially, optimise and accelerate the re-
covery process. Athletes simply score their actions
and accumulate recovery ‘points’ over a 24-hour pe-
riod from the 4 main recovery categories described
in section 5.2. Nutrition and hydration allows the
accumulation of a maximum of 10 recovery points;
sleep and rest a maximum of 4 points; relaxation
and emotional support a maximum of 3 points; and
stretching and active rest a maximum of 3 points.
Thus, the maximum overall score of 20 points is
equal to the highest ranking on the TQRact scale.
Complete and accelerated recovery decreases the
total time taken for the recovery process. Conse-
quently, an athlete can tolerate more frequent and
more intensive training. Theoretically, another ath-
lete could eventually have a TQRact score which
is beyond the lower limit of the actual scale (i.e <6).
In practice, this would happen only in a case of
badly mismanaged recovery.
Athletes accrue recovery points over a 24-hour
period. The points are determined using stand-
ardised, individual calculations described in a spe-
cially designed TQR manual. The manual serves as
a guideline to the athlete on how to earn recovery
points. Recovery points are divided into the 4 dif-
ferent categories discussed above to direct the ath-
lete’s attention towards important recovery ac-
tions. Points are distributed among the recovery
actions according to their degree of importance for
the recovery process as well as accounting for the
practical limitations that occur in field settings. It
is easy to modify the criteria in the TQR manual so
that they meet the demands of both the individual
and the specific sport. The described manual was
Overtraining and Recovery 11
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
developed primarily to meet the needs of elite se-
nior athletes (men and women) undertaking intense
training for endurance sports. It can be adapted,
however, for other groups also at risk for develop-
ing the staleness syndrome.
A general practical recommendation for ensur-
ing that an athlete’s recovery is adequate is that
both the TQRact and TQRper ratings should, pref-
erably, be at least equivalent to the actual training
stress (RPE rating). This is particularly important
when training becomes more intense because the
recovery process is believed to be accelerated by
proactive recovery actions. Proactive recovery
actions are considered to provide a higher quality
recovery compared with passive rest. A lower train-
ing intensity does not require the same high quality
of recovery but, even after days of light training,
there is a recommended minimum level of recovery
[TQR 13 (reasonable recovery)] which athletes
must attain.
Another practical implication to consider is the
comparison of TQRact and TQRper. When an ath-
lete has been taking full and complete measures for
the recovery process and rates significantly lower
on the TQRper compared with the TQRact scale,
this is an early-warning sign that there is an imbal-
ance between training and recovery. The report by
Fry et al.
[12]
lends some support to the suggestion
that an athlete’s perception of recovery can be used
as a potential marker for staleness: they observed
that a group of athletes with the staleness syndrome
experienced a decreased perception of recovery
compared with ‘nonstale’ athletes. Further support
is provided in other articles
[4,17]
which suggest that
perceived insufficient recovery is a marker for de-
tecting the staleness syndrome. This framework
(TQR process) also allows the study of the associ-
ations between training intensity (RPE), recovery
(TQR), variations in performance and other phys-
iological markers such as immune function, muscle
glycogen, cortisol, etc. The study of these associa-
tions might permit coaches and athletes to optimise
the balance between training and recovery and
achieve the best possible performances.
So far in this article, only the training and recov-
ery processes have been structured. The next step
is to integrate these 2 processes into the overall
context of overtraining and recovery, rather than
examining them separately. This will improve our
understanding of the results of athlete monitoring
and the correlation between training stress (pro-
cess) and the result of training (product).
7. Conceptual Model for Overtraining
and Recovery
One of the few questionnaires encountered in
the literature that attempts to address the full com-
plexities of stress and recovery was developed in
Germany by Kallus.
[29]
The Recovery-Stress-
Questionnaire (RESTQ) was developed to measure
various areas of stress and various areas of recov-
ery activities.
[29]
The stress and recovery activities
are assessed simultaneously by the RESTQ. The
result of the RESTQ provides an answer to the
question ‘How are you?’, which is similar in nature
to the actual state of stress determined by the stress-
recovery balance. The RESTQ is based on the
assumption that an accumulation of stress from
various aspects of life leads to an altered overall
state of stress, at least when there are insufficient
opportunities for recovery. Although the RESTQ
was developed to measure stress and recovery in a
general sense, and not particularly in regard to stale-
ness, it provides support for the conceptual model
developed here for overtraining and recovery.
The conceptual model described below is an at-
tempt to view the complex overtraining and recov-
ery processes in their full context. It aims to in-
crease understanding of the different parameters
which interact and determine the full process un-
derlying performance improvements (adaptation)
and performance decrements (maladaptation). This
is of great value for coaches, athletes and trainers
alike because it can be used as a guideline for mon-
itoring training and recovery, i.e. for tailoring the
perfect training programme.
12 Kenttä & Hassmén
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
7.1 Process of Overtraining and Recovery
The total process of overtraining and recovery
and the factors involved could be viewed as being
controlled by forces which are both additive and
interactive. The additive and interactive effects de-
termine the final configuration of the total process.
The total process is determined by 3 major subsys-
tems, each consisting of 3 components: a specific
stress, a specific capacity and a specific recovery. The
sums of these components determine (1) the actual
magnitude of total stress, (2) the actual overall ca-
pacity, and, finally, (3) the actual total recovery.
7.1.1 Actual Magnitude of Total Stress
Physiological stress (i.e. training) is the most
central aspect of the staleness syndrome. Forms of
stress such as illness and the use of drugs or med-
ications are not of primary interest in the model.
Psychological stress and social stress require more
attention in the body-mind performance context.
Psychological stress is defined here as intra-
individual stress arising from internal stressors;
this may, for example, stem from a perceived
imbalance between athletic expectations and an
athlete’s performance capabilities. Social stress is
defined as the result of interactions with other peo-
ple. Social stressors may arise from home life,
friends, colleagues at work, coaches and competi-
tors, as described by Rushall.
[53]
Psychological and
social stress, in conjunction with physiological
stress, determine the actual magnitude of the total
stress.
7.1.2 Actual Overall Capacities For Stress
The actual capacities for stress determine how
much stress can be tolerated by an individual.
Three major capacities have been identified which
consist of various numbers of subcapacities. Aero-
bic and anaerobic capacities (both energy produc-
tion capacities), and general strength, specific
strength and technique together, are the neuromus-
cular capacities. The capacity for psychological
stress comprises the level of self-confidence, ca-
pacity to cope with anxiety, attentional capacity,
motivational level, attitude control, positive energy
(positive mental health) and visualisation capacity.
The capacity for social stress consists of the ability
to create, handle and maintain relationships with
others. All of the subcapacities within a specific
category interact to determine the total capacity of
an individual for that category of stress.
7.1.3 Actual Total Recovery From Stress
Recovery processes can also be differentiated
into various subsystems and can be related to dif-
ferent types of stress.
[29]
The aim of each recovery
activity should be to restore homeostasis and allow
the adaptation of the individual to the stress(es). It
is not possible to establish a full recovery until
overall psychobiological homeostasis is attained.
Therefore, all of the recovery processes need to be
taken into account. Physiological recovery in rela-
tion to nutrition and hydration, sleep and rest, and
stretching and active rest has been described in
section 5.1. Psychological recovery is achieved
through relaxation and emotional support. Finally,
recovery from social stresses can be achieved only
by interaction of the athlete with close friends or
family members (social support).
Adequate recovery is dependent on the specific
type of stress and the individual’s capacities. The
aim of monitoring training and adequate recovery
in the elite athlete is to reach a balance in the zone
where training yields optimal increases in perfor-
mance. So far, this zone has been poorly de-
fined.
[17]
Therefore, we suggest that this optimal
zone be defined as the adaptation threshold. Theor-
etically, the adaptation threshold is the dynamic
‘breaking point’ where adaptation suddenly (i.e.
within a short time frame for athletes near this
threshold) becomes maladaptation. Together, re-
covery, stress and capacity can be viewed as 3 vari-
ables affecting the adaptation threshold. Thus, the
need to identify the individual’s dynamic threshold
can be seen as the overall goal in monitoring train-
ing and recovery. As a consequence, discussions
about which training regimens are good (adaptive)
or bad (maladaptive) are incomplete without also
considering the characteristics of the individual
Overtraining and Recovery 13
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
and the recovery process together with the psy-
chosocial stressors.
To achieve the best results from each and every
training session therefore demands consistent
monitoring and intelligent decision-making. This
occurs when the athlete responds to their day-to-
day condition, or state, and as a consequence selects
the most appropriate training session at that time.
It is worth noting that a specific training stimulus
may improve the athlete’s performance at one point
in time or merely maintain performance or cause
staleness at other times. As discussed in this sec-
tion, it is almost impossible to judge beforehand
whether a given training schedule will have nega-
tive or positive consequences for all athletes. In
this regard, optimal training can be regarded as an
ongoing process of the ‘total quality management’
of training and recovery (RPE versus TQR).
8. Matching Stress, Capacity
and Recovery to Improve the
Adaptation Threshold
As mentioned earlier, optimising the recovery
process enables the athlete to tolerate more fre-
quent and more intense training and still respond
positively. This corresponds to improving the ad-
aptation threshold. Optimising the recovery and
increasing the stress tolerance (i.e. capacity for
stress) of an athlete are 2 different approaches, both
of which should increase the dynamic adaptation
threshold.
The matching principle can be applied in 3 dif-
ferent ways to prevent staleness (enhancing the ad-
aptation threshold).
(1) Recovery must be matched with the specific
stress or stressors.
(2) Training must be directed at improving specific
capacities, which will in turn increase the specific
(matched) stress tolerance. Improved coping skills
will, for example, increase the overall psychologi-
cal capacity and, eventually, this is believed to in-
crease the overall stress tolerance.
(3) Psychological and social stressors must be min-
imised to better utilise the available resource of stress
tolerance for adapting to the physiological stress.
For obvious reasons, the possible fourth option
of reducing the training stress to a minimum is not
feasible for competitive athletes.
The final assessment of all of the factors in-
cluded in the model can be made when all of the
available cues from the sociopsychophysiological
process and the responses (symptoms and markers)
have been evaluated (fig. 2). Individual baseline
measurements for all of the considered overtrain-
ing markers are necessary for correct assessments
of intra-individual changes. The final assessment
should answer the most critical question for every
athlete, ‘Is it OK to continue my training sched-
ule?’ (i.e. will the result of my training lead to ad-
aptation or maladaptation within my desired time
frame?). By assessing individual differences in
total stress, total capacity and total recovery, it is
easier to understand why individuals respond dif-
ferently to a particular training stimulus. This
might even help to explain why some individuals
seem to differ in their vulnerability to developing
staleness. However, instead of discriminating be-
tween athletes on a basis of static vulnerability, it
is better to use the term individual adaptation
threshold, since this concept is dynamic and allows
for change, or improvement by training.
9. Future Directions
Few studies have focused on self-assessments
by athletes for monitoring training and recovery.
[8]
The conceptual model proposed here can be used
as a framework for such studies. Empirical testing
of the model, and all of the variables included, is
of the utmost importance for the future develop-
ment of improved or more sensitive monitoring of
the whole training process, that is, with a focus on
the relative contributions from different variables
(physiological, psychological, biochemical and
immunological). Interdisciplinary studies to incor-
porate knowledge from other related subdisciplines,
such as sports medicine, education sciences and
biochemical sciences, are also warranted. It is fur-
ther suggested that the overtraining model de-
scribed in this article will make it easier for endur-
ance athletes to monitor and balance the total
14 Kenttä & Hassmén
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
training and recovery process. The model thereby
enables the user to examine problems either sepa-
rately (e.g. biochemical, physiological, psycholog-
ical, nutritional, etc.) or by adopting a holistic per-
spective. It is suggested that the staleness
syndrome can only be fully understood in this
larger context. The proposed model also highlights
the potential influence of factors primarily related
to recovery, so far left uninvestigated by overtrain-
ing studies, and may encourage researchers to turn
their attentions to these.
References
1. Bompa T. Theory and methodology of training: the key to ath-
letic performance. Dubuque (IA): Kendall/Hunt, 1983
2. Raglin JS. Overtraining and staleness: psychometric monitor-
ing of endurance athletes. In: Singer RB, Murphey B, Tennant
LK, editors. Handbook of research on sport psychology. New
York (NY): Macmillan, 1993; 840-50
3. Lehman M, Foster C, Keul J. Overtraining in endurance ath-
letes: a brief review. Med Sci Sports Exerc 1993; 26: 854-61
4. Kuipers H, Keizer HA. Overtraining in elite athletes: review
and directions for the future. Sports Med 1988; 6: 79-92
5. Budgett R. Overtraining syndrome. Br J Sports Med 1990; 24:
231-6
6. Morgan WP, Brown DR, Raglin JS, et al. Psychological moni-
toring of overtraining and staleness. Br J Sports Med 1987;
21: 107-14
7. Fry RW, Morton AR, Keast D. Overtraining in athletes: an
update. Sports Med 1991; 12: 32-65
8. Hooper SL, Mackinnon LT, Howard A, et al. Markers for mon-
itoring overtraining and recovery. Med Sci Sports Exerc
1995; 27: 106-12
9. Fry AC, Kraemer WJ. Resistance exercise overtraining and
overreaching: neuroendocrine responses. Sports Med 1997;
23: 106-29
10. Maslach C. Burned-out. Hum Behav 1976; 5: 16-22
11. Smith RE. Toward a cognitive-affective model of athletic burn-
out. J Sport Psychol 1986; 8: 36-50
12. Fry RW, Grove JR, Morton AR, et al. Psychological and im-
munological correlates of acute overtraining. Br J Sports Med
1994; 28: 241-6
13. Fry AC, Kraemer WJ, Borselen FV, et al. Performance decre-
ments with high-intensity resistance exercise overtraining.
Med Sci Sports Exerc 1994; 26: 1165-73
14. Marion A. Overtraining and sport performance. Coaches Report
1995; 2: 12-9
15. Mackinnon LT, Hooper S. Mucosal (secretory) immune system
response to exercise of varying intensity and during overtrain-
ing. Int J Sports Med 1994; 15: 179-83
Psychological stress/capacity
Recovery
Short
term
effects
Long
term
effects
Psychological
Physiological
Neuroendocrine
Immunological
Process,
stress or
stimuli
Product,
result or
response
Final
assessment
Social stress/capacity
Recovery
Physiological stress/capacity
Recovery
Four categories of
multi-symptomatic
markers of the staleness
syndrome
Overtraining-response
continuum
Athletic balance
Adaptation
Maladaptation
Performance
Fig. 2. An overview of the whole overtraining and recovery process.
Overtraining and Recovery 15
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
16. Jeukendrup AE, Hesslink MKC, Snyder AC, et al. Physiological
changes in male competitive cyclists after two weeks of in-
tensified training. Int J Sports Med 1992; 13: 534-41
17. Kuipers H. How much is too much? Performance aspects of
overtraining. Res Q Exerc Sport 1996; 67 Suppl. 3: 65-9
18. Morgan WP. Psychological components of effort sense. Med Sci
Sports Exerc 1994; 26: 1071-7
19. Hooper SL, Mackinnon LT. Monitoring overtraining in athletes:
recommendations. Sports Med 1995; 20: 321-7
20. Shephard RJ, Shek PN. Potential impact of physical acitivity
and sport on the immune system: a brief review. Br J Sports
Med 1994; 28: 347-55
21. Raglin JS, Eksten F, Garl T. Mood state responses to a pre-
season conditioning program in male collegiate basketball
players. Int J Sport Psychol 1995; 26: 214-25
22. O’Connor PJ. Overtraining and staleness. In: Morgan WP, editor.
Physical activity and mental health. Washington, DC: Taylor
& Francis, 1998: 145-60
23. Hooper SL, Mackinnon LT, Hanrahan S. Mood states as an
indication of staleness and recovery. Int J Sport Psychol 1997;
28: 1-12
24. Berglund B, Säfström H. Psychological monitoring and modu-
lation of training load of world-class canoeists. Med Sci
Sports Exerc 1994; 26: 1036-40
25. O’Connor PJ, Morgan WP, Raglin JS. Psychobiologic effects of
3 days of increased training in female and male swimmers.
Med Sci Sports Exerc 1991; 23: 1055-61
26. Snyder AC, Jeukendrup AE, Hesslink MKC, et al. A physiolog-
ical/psychological indicator of over-reaching during intensive
training. Int J Sports Med 1993; 14: 29-32
27. Raglin JS, Morgan WP. Development of a scale for use in mon-
itoring training-induced distress in athletes. Int J Sports Med
1994; 15: 84-8
28. Morgan WP, Costill DL, Flynn MG, et al. Mood disturbance
following increased training in swimmers. Med Sci Sports
Exerc 1988; 20: 408-14
29. Kallus KW. Recovery-stress-questionnaire: manual. Würzburg:
University of Würzburg, 1995
30. Costill DL, Flynn MG, Kriwan JP, et al. Effects of repeated days
of intensified training on muscle glycogen and swimming per-
formance. Med Sci Sport Exerc 1988; 20: 249-54
31. Verde T, Tomas S, Shephard RJ. Potential markers of heavy
training in highly trained distance runners. Br J Sports Med
1992; 26: 167-75
32. Harre D. Principles of sport training. Berlin: Sportverlag, 1982
33. Viru A. The mechanism of training effects: a hypothesis. Int J
Sports Med 1984; 5: 219-27
34. Borg G. Physical performance and perceived exertion [disser-
tation]. Lund, Sweden: Gleerup, 1962
35. Borg G. Perceived exertion as an indicator of somatic stress.
Scand J Rehabil Med 1970; 2: 92-8
36. Martens R, Vealey R, Burton D. Competetive anxiety in sport.
Champaign (IL): Human Kinetics, 1990
37. Harre D. Trainingslehre. Berlin, Germany: Sportverlag, 1973
38. Israel S. Zür problematic des übertrainings aus internistischer
und leistungsphysiologicher sicht. Medizin Sport 1976; 16:
1-12
39. Kinderman W. Das übertraining-ausdruck einer vegitativen
fehlsteuerung. Z Sportmedizin 1986; H8: 138-45
40. Brooks GA, Fahey TD. Exercise physiology: human bioener-
getics and its applications. New York (NY): Macmillan, 1985
41. Taylor SR, Rogers GG, Driver HS. Effects of training volume
on sleep, psychological, and selected physiological profiles
of elite female swimmers. Med Sci Sports Exerc 1997; 29:
688-93
42. Uneståhl L-E. Integrerad mental träning (Integrated mental train-
ing) [Swedish]. Malmö, Sweden: Skogsgrafiska AB, 1995
43. Veale DMW. Psychological aspects of staleness and depend-
ence on exercise. Int J Sports Med 1991; 12: 19-22
44. Weinberg R, Gould D. Foundations of sport and exercise psy-
chology. Champaign (IL): Human Kinetics, 1995
45. Evjenth O, Hamberg J. Muscle stretching in manual therapy.
Vol. 1 & 2. Örebro, Sweden: Alfta Rehab förlag, 1985
46. Bruin G, Kuipers H, Keizer HA, et al. Adaptations and over-
training in horses subjected to increased training loads. J Appl
Physiol 1994; 76: 1908-13
47. Kenttä G. Överträningssyndrom: en psykofysiologisk process
(Overtraining: a psychophysiological process) [Swedish].
Luleå, Sweden: Högskolan i Luleå, 1996
48. Noble BJ, Robertson RJ. Perceived exertion. Champaign (IL):
Human Kinetics, 1996
49. Watt B, Grove R. Perceived exertion: antecedents and applica-
tions. Sports Med 1993; 15: 225-41
50. Hassmén P. Perceived exertion: applications in sports and exer-
cise [dissertation]. Edsbruk, Sweden: Akademitryck AB,
1991
51. Borg G. Perceived exertion: a note on ‘history’ and methods.
Med Sci Sports 1973; 5: 90-3
52. Hendrickson CD, Verde TJ. Inadequate recovery from vigorous
exercise: recognizing overtraining. Physician Sportsmed
1994; 22: 56-8, 61-2, 64
53. Rushall BS. A tool for measuring stress tolerance in elite ath-
letes. Appl Sport Psychol 1990; 2: 51-66
Correspondence and reprints: Dr Göran Kenttä, Department
of Psychology, Stockholm University, S-106 91 Stockholm,
Sweden.
E-mail: gka@psychology.su.se
16 Kenttä & Hassmén
Adis International Limited. All rights reserved. Sports Med 1998 Jul; 26 (1)
... Por esta razón se han desarrollado diferentes métodos para tener un acercamiento adecuado del impacto que tienen los estímulos de entrenamiento en los individuos (Crowcroft et al., 2017), siendo utilizados valores objetivos como la VFC (Naranjo-Orellana, 2018), así como métodos subjetivos como el índice de esfuerzo percibido (Borg, 1982) o la escala de calidad de recuperación total (TQR, por sus siglas en inglés) (Kenttä y Hassmén, 1998). ...
... Posterior a la toma de VFC se mostró a los jugadores de manera individual la escala TQR (6-20) para que respondieran sobre el estado de recuperación percibida respecto a la sesión anterior, en la que 6 indica "muy, muy mala recuperación" y 20 "muy, muy buena recuperación" (Kenttä y Hassmén, 1998). ...
... Por otro lado, la escala TQR muestra valores de buena recuperación por parte de ambos géneros (Kenttä y Hassmén, 1998); estos resultados son similares a los encontrados en otro estudio (Selmi, et al., 2022), en el cual se reporta una recuperación de moderada a buena en deportistas de disciplinas intermitentes; sin embargo, existen otros factores que pueden modificar la percepción de la recuperación: el estrés, la calidad de sueño, dolor muscular, entre otros, por lo que incluir escalas que permitan conocer estos aspectos podría ser una buena herramienta complementaria para los entrenadores (Ouergui et al., 2020). Por otro lado, se encontró una relación de Spearman negativa moderada entre los valores de la RMSSD y el SS (r = -0. ...
Article
Full-text available
Objetivo: evaluar la relación del estado de recuperación a través de la variabilidad de la frecuencia cardiaca (VFC) y la escala de calidad de recuperación total o TQR (por sus siglas en inglés) en jugadores de bádminton. Metodología: participaron diez jugadores juveniles de bádminton donde se registró la VFC en reposo y los valores de TQR al inicio de cada sesión durante ocho semanas de entrenamiento. Resultados: se encontró una relación negativa moderada entre valores de la actividad parasimpática y simpática (r = -04. 82, r = -0.668) y débil con actividad parasimpática y TQR (r = -0.190, r = -0.060). Conclusión: existe una relación inversamente proporcional entre el comportamiento simpático y parasimpático, así como entre la actividad parasimpática y la TQR por lo que, de acuerdo con la dinámica de estos indicadores, a mayor impacto fisiológico, menor será la recuperación del atleta.
... 14 due to the complex characteristics of judo, which require multiple physical abilities, judo athletes use a combination of physical capacities during matches, 15 and consequently are subjected to systematic and exhausting training sessions. 16 in this sense, the low-cost tools such as TQr, rpe, and poMS can be considered valuable sources of information 22 Then, athletes completed a 20-minute standardized warm-up consisting of jogging and dynamic stretching. Subsequently, athletes carried out their assigned training, by their coach and/or physical trainer, for that day lasting 60 minutes. ...
... recovery state was recorded 15 minutes before each training session using the TQr Scale. 22 each athlete evaluated the Quality of recovery on a scale from "very very poor recovery" (value 6) to "very very good recovery" (value 20). The mean values of this variable were calculated for each week of the training period analyzed and used for the subsequent statistical analysis. ...
Article
BACKGROUND: This study aimed to examine the effects of training period on subjective measures and to investigate the relationship between these measures during a 7-week competitive training period in highly trained judo athletes. METHODS: Fourteen athletes (mean ± standard deviation, age: 22±3 years) took part in 5 training sessions per week, each lasting 90 minutes, and as the weeks of training progressed, the time spent performing randori (judo-specific training exercise) increased. Before each session, perceived recovery was assessed by the total quality recovery (TQR). After each session, athletes indicated their perceived exertion by the CR-10 Rating of Perceived Exertion (RPE). Mood states were assessed on the last day of each week by the Profile of Mood States (POMS). RESULTS: TQR in weeks 1 and 2 was higher than that in weeks 3 (P<0.001 and P=0.034, respectively), 5 (P=0.008 and P=0.028, respectively) and 6 (P<0.001). TQR in weeks 3 (P=0.015), 5 (P=0.019), and 6 (P=0.002) significantly reduced than in week 7. RPE in weeks 4 significantly decreased than in week 6 (P=0.009). Significant relationships between TQR and RPE were found in weeks 3 (r=-0.75; P=0.002), 5 (r=-0.94; P<0.001), and 6 (r=-0.66; P=0.01). CONCLUSIONS: The change in randori time influenced psychological perception, with a greater effect on RPE and TQR. Coaches should monitor regularly these variables and should pay special attention to this training exercise modality in order to adjust the internal training load response desired for a specific moment of the training process.
... Providing an adequate balance between stress (training and competition load, other life demands) and recovery is essential for athletes to achieve high-level performance, especially when peaking for competition 1,14,15 . However, highly trained swimmers experience highly variable TLs and recovery-stress responses, making it challenging for scientist and coaches to optimize the training process 10 . ...
... Total Quality Recovery (TQR) was used to monitor the athlete perceived recovery 14 . Before the start of each training session, the elite swimmer answered the question "How do you feel about your recovery?", ...
Article
Full-text available
This study explored the relationship between weekly internal training loads (ITL) and the perceived recovery and performance of an elite sprint swimmer over a 10-week periodized training plan, integrating hormonal and immune responses. ITL, perceived recovery, salivary cortisol, salivary testosterone, and SIgA concentrations were quantified. Repeated-sprint ability swim tests were conducted in weeks 1 and 5. The results revealed that as ITL increased, perceived recovery scores decreased (r = -0.61). Higher ITL in the initial weeks (1, 2, and 3; ~4000 AU) correlated with elevated salivary cortisol concentrations (∆% = baseline to week 3 = +65%) and a decreased Testosterone:Cortisol ratio (∆%=baseline-to-week 3=-46.3%). A decline in SIgA concentration (164.6 mg·L-1 , ∆% baseline-to-week 7=-34.5%) following a preparatory competition preceded the onset of an upper respiratory tract infection (URTI). Repeated sprint ability increased by 6.2% (week 1 to 5), and the 10-week training plan resulted in a faster 50-m freestyle time (week 1 = 22.52 s vs. target competition = 21.84 s, ∆% = -3.0%). In conclusion, the study found that performance improvement occurred after the 10-week periodized training plan, with weekly ITL correlating with recovery status and immuno-endocrine responses. Detection of decreased SIgA post-competition preceded URTI occurrence.
... Heart Rate Monitoring (%HRmax): Measured via Polar Team Pro, with HRmax estimated as 220 − age. Intensity zones: Moderate (70-85% HRmax); Vigorous (>85% HRmax) Well-Being (TQR): Daily use of the Total Quality Recovery scale (6-20), with values >15 indicating good recovery(Kenttä & Hassmén, 1998).Tactical/Technical Performance: FUT-SAT(Teoldo et al., 2011) -Tactical behaviour based on core game principles. ...
Poster
Full-text available
Despite advancements in sports science, research on performance optimization and injury prevention in football has mainly focused on elite athletes, leaving a gap in the study of sub-elite players. These athletes face similar demands but often lack access to high-level resources, increasing their susceptibility to inadequate training loads and injury risks. Additionally, sub-elite football environments frequently present inconsistent coaching, inadequate recovery protocols, and limited sports science support, widening the gap in player development (Nässi et al., 2017). Traditional performance metrics emphasize physical parameters but often fail to integrate tactical and technical factors. Small-sided games (SSG) improve decision-making, tactical awareness, and technical execution while addressing sub-elite training constraints (Matos et al., 2023). Sub-elite players endure high match and training loads without proper monitoring. Unlike elite athletes, who benefit from personalized workload management, sub-elite players often follow generic programs that neglect individual physiological responses. Structured periodization is crucial, as excessive load accumulation without adequate recovery increases injury risk and compromises performance. Artificial Intelligence (AI) and Virtual Reality (VR) offer opportunities to enhance performance analysis and injury prevention. AI-driven models optimize training loads and assist in workload distribution. VR-based interventions create controlled environments where players engage in decision-making and tactical execution with minimal physical strain. However, the effectiveness of these technologies in sub-elite football remains underexplored, requiring further research. A mixed-methods approach will integrate quantitative and qualitative data collection. Player performance will be analyzed using GPS tracking, wellness questionnaires (Hooper Index, TQR), and tactical assessments (Fut-Sat). AI-driven analytics will help predict injury risks and optimize training load distribution. Additionally, a subgroup of players will engage in VR-based tactical training interventions, assessed through game performance metrics and qualitative feedback from athletes and coaches. This study will explore how these technologies influence cognitive processing and adaptability in real-game scenarios.
... Collectively, these findings underscore the shared mechanisms between OTS and depression and highlight the importance of prevention strategies and individualized training protocols. Burnout, NFOR, OTS, and depression all share conceptual and mechanistic roots within the paradigm of chronic stress (Kenttä and Hassmén, 1998;Nixdorf et al., 2023). Smith, as early as 1986, was among the first to explicitly define burnout as a maladaptive response to chronic stress exposure (Smith, 1986). ...
Article
Full-text available
Major Depressive Disorder (MDD) is a leading global health challenge, affecting nearly 5% of the population. Mounting evidence suggests that systemic low-grade chronic inflammation (SLGCI) plays a central role in the development and progression of MDD. This persistent inflammatory state results from unresolved immune activation and sustained exposure to modern lifestyle factors, such as sedentary behavior, poor diet, inadequate sleep, and psychological stress. Regular physical activity (PA), particularly exercise, has been shown to modulate inflammatory processes and improve depressive symptoms. This narrative review examines the complex interactions between inflammation and MDD, focusing on the role of PA and exercise in mitigating SLGCI and neuroinflammation. This is approached through an evolutionary lens, exploring how the mismatch between ancestral and modern activity levels may contribute to the rise of MDD. In addition, it highlights the potential risks of excessive exercise, including overtraining and its association with depressive symptoms. Finally, this work proposes a practical framework for optimizing PA and exercise as preventive and therapeutic tools for MDD by aligning modern PA patterns with ancestral behavioral norms.
... Participants provided daily TQR scores to assess their recovery status. The TQR scale is divided into 15 points ranging from 6 (very poor recovery) to 20 (very good recovery), with 13 being the baseline [21]. Specifically, participants received an email each morning at 5 a.m., prompting them to fill out a TQR scale created online using Google Forms. ...
Article
Full-text available
Background: Tapering, a period of reduced training load following intense training, contributes to performance enhancement. However, research on recovery status during tapering is limited. This study investigates the impact of recovery status on race performance. Methods: Total quality recovery (TQR) scale scores were monitored over two seasons in 22 college competitive swimmers (age: 19.7 ± 1.8 years), including 6 females. They participated voluntarily in the study. Rolling averages (TQRra) and exponentially weighted moving averages (TQRewma) over 7, 14, 21, and 28 days before the race were calculated. Performance data from 550 race days were analyzed by quartiles, and odds ratios were computed for TQR-related variables against race performance improvements. Results: The median TQR was 11 (interquartile range: 10–13). Seasonal bests were achieved in 31.6% of races (174 of 550). The highest odds ratios (ORs) for performance improvement in the highest quartile (Q4) of TQR and z-TQR were 3.13 (p < 0.001) and 4.35 (p < 0.001), respectively. Significant ratios for TQRewma were observed for 7d:21d (OR: 2.62, p < 0.001) and 7d:28d (OR: 2.48, p < 0.001) comparisons. Conclusions: Better recovery status on race day has been associated with improved swimming performance. Additionally, optimizing the TQRewma ratio of the most recent 7 days compared to the preceding 21 to 28 days may further enhance race performance. It highlights the need to monitor an athlete’s recovery over several weeks as an important pre-race strategy.
... To switch back to a push motion, and work the anterior muscles again, the Rowheel drive wheels will have to be swapped back to the standard drive wheels. Alternatively, a system that combines the pulling motion for forward propulsion, with the option of using the push motion, would be preferable to avoid overuse of the posterior muscles [23]. ...
Article
Full-text available
Introduction Shoulder pain mostly due to high biomechanical load of the anterior-shoulder musculature is prevalent among manual wheelchair users with spinal cord injury or disorder (SCI/D). This case study showcases a novel pull-function attachment to the wheelchair that reverses the propulsion motion by pulling rather than pushing the wheelchair. Additionally, the study reports its preliminary usability and impact on shoulder pain. Case presentation Four individuals with SCI/D (median age: 33; 1 female) used the novel pull-function attachment to the manual wheelchair for six weeks. Usability (System Usability Scale; ranging from 1 = ’strongly disagree’ to 5 = ’strongly agree’) and daily usage time were assessed. Shoulder pain intensity was explored before and after the six weeks using the Wheelchair User’s Shoulder Pain Index. Median usability scores were ≥3.0 for 5/6 items, indicating high usability of the assistive technology. Shoulder pain intensity was reduced in all participants at the post-test (median change: −6.3), with the change in shoulder pain exceeding the minimal detectable change for 2/3 participants. Discussion The results of this case study suggest high usability of the pull-function attachment to the wheelchair. The decreases in shoulder pain intensity reported following six weeks of use were noticeable and may have clinical relevance. This novel assistive technology that enables forward propulsion by pulling rather than pushing the wheelchair may therefore have the potential to reduce shoulder pain in manual wheelchair users with SCI/D.
Article
Full-text available
In the context of competitive sports training, it is imperative that athletes receive regular training in self-competence to enhance self-regulation and self-control, thereby empowering them to actively influence their own learning process and mitigate stress. The present study (N = 35, mean age: 17.06) suggests a negative correlation between stress load and self-control (r = -.517, p < .001). Concurrently, a positive correlation was identified between self-control and willpower (r = .433, p < .005), with willpower also exerting an influence on motor learning, although not significantly (d = .358). The study set out to examine the hypothesis that the manner in which coaches communicate has a significant impact on motor learning (r = -.41, p < .005). Subsequent group comparisons revealed significant variations in juggling performance, which were associated with higher expressions of willpower (p = .027, d = .735). In comparison with the groups that achieved high self-competence scores, the group that received negative coach instruction and simultaneously exhibited a low level of self-competence demonstrated the poorest results in motor learning and exhibited significant differences to the athletes with high self-competence (p ≤ .020, d ≥ 0.75). These results underscore the significance of promoting self-competence in top athletes.
Article
Introduction/Purpose Compression garments are a commonly used recovery aid following resistance exercise, which may improve muscle blood flow and perceived recovery. However, there has been limited insight into the underlying molecular mechanisms that may mediate the physiological effects of compression garments. The aim of this study was to investigate the effect of compression tights on markers of muscle protein synthesis, muscle blood flow, and indices of recovery following a bout of resistance exercise. Methods Twenty resistance-trained participants (5 females, 15 males) completed a leg-press exercise session followed by a 5-h recovery period wearing either commercially available compression tights (COMP, n = 10) or no tights (CON, n = 10). Physiological (markers of muscle protein synthesis, muscle blood flow, blood lactate, blood glucose), perceptual (total quality of recovery, perceived muscle soreness and subjective wellbeing), and performance measures (countermovement jump and isometric mid-thigh pull) were collected at baseline, immediately post-exercise (performance and perceptual only), and at 1-h (physiological and perceptual only), 5-h and 24-h post-exercise. Results No significant ( p < 0.05) interactions were observed between groups in physiological, performance, and perceptual measures. There were main effects of time for post-exercise measures compared to baseline ( p < 0.05), with increased markers of muscle protein synthesis, muscle blood flow, blood lactate, muscle soreness, and reduced blood glucose, total quality of recovery, subjective wellbeing, and countermovement jump height for both groups. CONCLUSIONS Commercially available compression tights used post-resistance exercise did not influence muscle protein synthesis markers, muscle blood flow or indices of exercise recovery following resistance exercise in the current study.
Article
Exercise-related fatigue is not confined to elite athletes. Frequent exercisers often experience chronic fatigue, overuse injuries, recurrent infections, and decreased motivation or performance-symptoms traditionally described as 'overtraining syndrome.' For this large population of active people who often do not perceive their exercise as training, patient education with emphasis on rest and recovery is essential to successful management.
Article
A self-report inventory of sources of life-stress and symptoms of stress is described. The tool can be used to determine the nature of an athlete's response to training, particularly his/her capacity to tolerate training loads. Data are used to demonstrate the use of the inventory to determine i) training responses which are either too stressed or under-stressed, ii) the ideal amount of stress to promote the optimum level of training effort, iii) the influence of outside-of-sport stresses that interfere with the training response, iv) preliminary features of overtraining, v) reactions to jet-lag and travel fatigue, and vi) peaking responses.
Article
Elite athletes repeatedly completed the Profile of Mood States (POMS) during a six-mo training season to determine whether athletes who are stale show different values from those who are intensely trained but not stale. Nineteen elite male and female swimmers were studied at five time points: three times during training (early-, mid-, and late-season), during tapering prior to, and then shortly after major competitions. Of 14 Ss who completed the entire monitoring program, three were classified as stale based on several criteria including poorer performance and prolonged, high levels of fatigue. Two stale swimmers showed higher scores for several POMS measures throughout the season compared with non-stale swimmers. Several POMS measures were significantly correlated with training intensity but not with training volume. It was concluded that stale athletes may not always demonstrate different mood scores from non-stale athletes but that total mood disturbance score (TMD) as evaluated by the POMS may be used to indicate those athletes predisposed to the condition long before symptoms of poor performance and prolonged fatigue are observed. TMD scores were chosen to monitor staleness since they represent a synthesis of the six specific mood states measured by the POMS. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Article
Examines the nature, causes, and consequences of burnout within a cognitive-affective model of stress and describes the parallel situational, cognitive, physiologic, and behavioral components of stress and burnout. J. W. Thibaut and H. H. Kelley's (1959) social exchange model is used to define the conditions under which withdrawal from a sport can be attributed to burnout. Empirical findings concerning the causes and consequences of burnout derived from nonathletic populations are incorporated within the athletic burnout model, and its implications for preventing and coping with burnout are discussed. Conceptual and methodological issues are discussed, including operationalizing and measuring athletic burnout, the need for epidemiological research, and the assessment of causal and moderator variables. Based on the literature on burnout in nonsport environments and the literature on sources and consequences of athletic stress, some testable hypotheses are advanced. (47 ref) (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Article
Describes (in English) several studies in this field. Using a bicycle ergometer for both short and longer time (6 min.) periods, Ss worked at a standard and then adjusted the power by halving or doubling the setting, as the case may be. In some studies they worked shorter times at the lower settings. Ss for the studies were physicians, students, nurses, and forestry workers. A chapter deals with perception of exertion and factors such as pulse-rate and lactic acid in the blood. Another chapter is entitled "The Psychophysics of Muscular Work and Adjacent Fields." (PsycINFO Database Record (c) 2012 APA, all rights reserved)