ArticlePDF Available

Time to exhaustion at and above critical power in trained cyclists: The relationship between heavy and severe intensity domains

Authors:

Abstract and Figures

Objectives. — The aim of this study was to determine the physiological responses and time to exhaustion, at critical power and 5% above, in trained cyclists. Equipments and methods. — Eleven male cyclists completed an incremental test, three constant work rate tests to exhaustion to determine critical power (CP), and finally two tests until exhaustion at CP and CP plus 5%. Results. — The modeling of the power-inverse time relationship provided a mean critical power of 295 ± 39 W. Time to exhaustion at critical power was significantly higher than 5% above (22.9 ± 7.5 min versus 13.3 ± 5.8 min). Oxygen uptake, pulmonary ventilation, and blood lactate obtained at the end of the CP plus 5% exhaustion trial were not significantly different from the maximal variables. However, the physiological end values during the CP test were significantly lower compared to the incremental test. Conclusions. — These data support the idea that CP in trained cyclists is the physiological index that estimates the boundary between heavy to severe exercise domains. Thus, when cyclists exercised at a power output 5% higher than CP, the VO2max was reached at the end of exercise.
Content may be subject to copyright.
Please
cite
this
article
in
press
as:
de
Lucas
RD,
et
al.
Time
to
exhaustion
at
and
above
critical
power
in
trained
cyclists:
The
relationship
between
heavy
and
severe
intensity
domains.
Sci
sports
(2012),
http://dx.doi.org/10.1016/j.scispo.2012.04.004
ARTICLE IN PRESS
+Model
SCISPO-2704;
No.
of
Pages
6
Science
&
Sports
(2012)
xxx,
xxx—xxx
Disponible
en
ligne
sur
www.sciencedirect.com
ORIGINAL
ARTICLE
Time
to
exhaustion
at
and
above
critical
power
in
trained
cyclists:
The
relationship
between
heavy
and
severe
intensity
domains
Temps
d’épuisement
à
la
puissance
critique
et
au-dessus
chez
des
cyclistes
entraînés
R.D.
de
Lucas, K.M.
de
Souza,
V.P.
Costa,
T.
Grossl,
L.G.A.
Guglielmo
Sports
Center,
Federal
University
of
Santa
Catarina,
Physical
Effort
Laboratory,
Florianópolis,
CEP:
88040-900
Florianópolis
(SC),
Brazil
Received
3
December
2011;
accepted
5
April
2012
KEYWORDS
Physiological
responses;
Cycling;
Physiological
domains
Summary
Objectives.
The
aim
of
this
study
was
to
determine
the
physiological
responses
and
time
to
exhaustion,
at
critical
power
and
5%
above,
in
trained
cyclists.
Equipments
and
methods.
Eleven
male
cyclists
completed
an
incremental
test,
three
constant
work
rate
tests
to
exhaustion
to
determine
critical
power
(CP),
and
finally
two
tests
until
exhaustion
at
CP
and
CP
plus
5%.
Results.
The
modeling
of
the
power-inverse
time
relationship
provided
a
mean
critical
power
of
295
±
39
W.
Time
to
exhaustion
at
critical
power
was
significantly
higher
than
5%
above
(22.9
±
7.5
min
versus
13.3
±
5.8
min).
Oxygen
uptake,
pulmonary
ventilation,
and
blood
lactate
obtained
at
the
end
of
the
CP
plus
5%
exhaustion
trial
were
not
significantly
different
from
the
maximal
variables.
However,
the
physiological
end
values
during
the
CP
test
were
significantly
lower
compared
to
the
incremental
test.
Conclusions.
These
data
support
the
idea
that
CP
in
trained
cyclists
is
the
physiological
index
that
estimates
the
boundary
between
heavy
to
severe
exercise
domains.
Thus,
when
cyclists
exercised
at
a
power
output
5%
higher
than
CP,
the
VO2max was
reached
at
the
end
of
exercise.
©
2012
Elsevier
Masson
SAS.
All
rights
reserved.
Corresponding
author.
E-mail
address:
kristophersouza@yahoo.com.br
(K.M.
de
Souza).
0765-1597/$
see
front
matter
©
2012
Elsevier
Masson
SAS.
All
rights
reserved.
http://dx.doi.org/10.1016/j.scispo.2012.04.004
Please
cite
this
article
in
press
as:
de
Lucas
RD,
et
al.
Time
to
exhaustion
at
and
above
critical
power
in
trained
cyclists:
The
relationship
between
heavy
and
severe
intensity
domains.
Sci
sports
(2012),
http://dx.doi.org/10.1016/j.scispo.2012.04.004
ARTICLE IN PRESS
+Model
SCISPO-2704;
No.
of
Pages
6
2
R.D.
de
Lucas
et
al.
MOTS
CLÉS
Réponse
physiologique
;
Cyclisme
;
Domaines
physiologiques
Résumé
Objectifs.
Le
but
de
cette
étude
est
de
déterminer
les
réponses
physiologiques
et
le
temps
d’épuisement,
à
la
puissance
critique
et
à
5
%
au-dessus
de
la
puissance
critique
pour
des
cyclistes
entraînés.
Équipement
et
méthode.
Onze
cyclistes
masculins
ont
complété
un
test
progressif,
trois
tests
à
charge
constante
jusqu’à
épuisement
pour
déterminer
les
puissances
critiques
et
enfin
deux
tests
jusqu’à
épuisement
à
la
puissance
critique
et
puissance
critique
plus
5
%.
Résultats.
La
modélisation
de
la
relation
entre
puissance
inverse
et
le
temps
a
fourni
une
puissance
critique
de
295
±
39
W.
Le
temps
jusqu’à
l’épuisement
à
la
puissance
critique
a
été
considérablement
plus
élevé
que
5
%
au-dessus
(22,9
±
7,5
min
versus
13,3
±
5,8
min).
La
consommation
d’oxygène,
la
ventilation
pulmonaire
et
le
lactate
sanguin
obtenu
à
la
fin
de
l’essai
de
l’épuisement
à
la
puissance
critique
+5
%
n’ont
pas
été
considérablement
différents
des
variables
maximales.
Néanmoins,
les
valeurs
physiologiques
finales
pendant
les
puissances
critiques
test
ont
été
considérablement
inférieures
comparativement
au
test
progressif.
Conclusions.
Les
informations
appuient
l’idée
que
la
puissance
critique
des
cyclistes
entraînés
est
l’index
physiologique
qu’estime
la
limite
entre
le
domaine
d’exercice
lourd
et
sévère.
Donc,
quand
les
cyclistes
sont
entraînés
à
une
puissance
5
%
plus
élevée
que
la
puissance
critique,
la
consommation
maximale
d’oxygène
a
été
atteinte
à
la
fin
de
l’exercice.
©
2012
Elsevier
Masson
SAS.
Tous
droits
réservés.
1.
Introduction
The
hyperbolic
relationship
between
work
rate
and
time
to
exhaustion
(TTE)
is
a
fundamental
property
of
exercise
performance
in
humans
[1—4]
and
rats
[5,6].
Monod
and
Scherrer
[1]
first
reported
this
hyperbolic
relationship
in
a
single
muscle
group,
and
this
relationship
was
subsequently
demonstrated
during
whole-body
exercise,
such
as
cycling
[2],
treadmill
running
[7],
swimming
[8],
and
rowing
[9].
The
work-rate
asymptote
of
this
hyperbolic
relationship
has
been
termed
critical
power
(CP),
whereas
curva-
ture
constant
(i.e.
the
total
amount
of
work
that
can
be
performed
above
the
CP)
has
been
termed
anaer-
obic
work
capacity
(AWC)
[1—4].
The
parameters
CP
and
AWC
can
also
be
derived
through
linear
regression
analysis
after
transformation
of
the
hyperbolic
relation-
ship
into
a
linear
formulation
by
plotting
total
work
done
during
the
series
of
exercise
tests
versus
TTE
[1]
or
by
plotting
power
output
versus
the
inverse
of
TTE
(P
versus
1/TTE)
[3,4,10].
Tw o
decades
ago,
some
studies
aimed
to
better
under-
stand
the
definition
of
CP
by
investigating
the
intensity
domains
at
which
maximal
oxygen
uptake
(VO2max)
can
be
attained
[3,4].
It
was
demonstrated
that
CP
represented
the
highest
intensity
that
is
sustainable
for
a
prolonged
duration
without
eliciting
VO2max,
that
is,
the
lower
bound-
ary
for
severe
exercise
[3,4,11].
Accordingly,
some
authors
observed
a
non-attainment
of
VO2max,
despite
an
oxygen
uptake
slow
component
(VO2SC)
during
exercise
performed
at
CP
[3,4,11—13].
However,
the
variability
of
methods
proposed
to
deter-
mine
CP
has
not
provided
the
boundary
for
the
heavy
to
severe
exercise
domain,
since
previous
studies
reported
a
variation
of
24%,
depending
on
the
CP
mathematical
model
[14—16].
In
a
recent
review,
Dekerle
et
al.
[17]
highlighted
that
linear
model
P
versus
1/TTE
represents
the
best
esti-
mation
of
the
CP
concept,
showing
greater
absolute
value
when
compared
to
other
2-parameter
models.
Therefore,
this
model
has
been
used
to
investigate
the
physiological
responses
during
CP
exercise
[3,4,12,15].
However,
few
studies
have
analyzed
both
physiological
responses
and
TTE
at
CP
and
above.
Poole
et
al.
[3]
hypoth-
esized
that
CP
represented
an
intensity
that
was
slightly
above
physiological
steady
state
and,
hence,
would
lead
to
VO2max.
However,
the
authors
found
this
not
to
be
the
case,
and
power
needed
to
be
increased
by
approximately
16
W
(an
average
of
7%
of
CP)
to
elicit
VO2max in
a
group
of
active
subjects
[3].
A
subsequent
study
using
trained
cyclists
inves-
tigated
TTE
at
CP
and
found
an
average
end
value
of
91%
of
VO2max [12].
To
the
best
of
our
knowledge,
no
study
has
verified
these
physiological
responses
above
CP
in
trained
individuals
with
the
aim
of
analyzing
the
lower
limit
of
the
severe
domain.
Since
in
trained
subjects
CP
occurs
at
a
work
rate
closer
to
maximal
aerobic
power
output
(Pmax)
[18],
we
hypothesized
that
these
subjects
could
reach
VO2max at
a
lower
percentage
above
CP
(i.e.
5%)
than
active
people.
Thus,
the
aim
of
this
study
was
to
determine
the
physiological
responses
and
TTE
at
CP
(P
versus
1/TTE)
and
5%
above
(CP+5%)
in
competitive
cyclists.
2.
Subjects
Eleven
competitive
male
cyclists
(mean
±
SD;
20
±
5
years;
71
±
12
kg;
179
±
7
cm)
participated
in
the
study.
The
cyclists
had
been
training
for
and
competing
in
endurance
cycling
races
on
a
regular
basis
for
a
minimum
of
4
years.
At
the
time
of
testing,
they
were
in
the
beginning
of
the
yearly
training
program
and
were
cycling
approximately
400—450
km/wk.
After
being
fully
informed
of
the
risks
and
stresses
associ-
ated
with
the
study,
subjects
gave
their
written
informed
consent
to
participate.
The
study
was
performed
accord-
ing
to
the
Declaration
of
Helsinki,
and
the
protocol
was
approved
by
the
Ethics
Committee
of
the
Federal
University
of
Santa
Catarina,
Florianópolis,
Brazil.
Please
cite
this
article
in
press
as:
de
Lucas
RD,
et
al.
Time
to
exhaustion
at
and
above
critical
power
in
trained
cyclists:
The
relationship
between
heavy
and
severe
intensity
domains.
Sci
sports
(2012),
http://dx.doi.org/10.1016/j.scispo.2012.04.004
ARTICLE IN PRESS
+Model
SCISPO-2704;
No.
of
Pages
6
Time
to
exhaustion
at
and
above
critical
power
3
3.
Experimental
Protocol
Subjects
were
instructed
to
avoid
any
intake
of
caffeine
or
alcohol
and
strenuous
exercise
in
24
h
preceding
a
test
session
and
to
arrive
at
the
laboratory
in
a
rested
and
fully
hydrated
state,
at
least
3
h
postprandial.
All
tests
were
performed
at
the
same
time
of
day
in
a
controlled
envi-
ronmental
laboratory
condition
(19—22 C;
50—60%
RH)
to
minimize
the
effects
of
diurnal
biological
variation
on
the
results
[19].
Athletes
reported
to
the
laboratory
to
perform:
an
incremental
continuous
cycling
test
for
the
measure-
ment
of
VO2max and
Pmax;
three
constant
work
rate
tests
in
random
order
to
deter-
mine
TTE
at
95,
100,
and
110%
Pmax to
calculate
CP
using
the
linear
model
P
versus
1/TTE
[3];
two
sessions
to
determine
TTE
at
CP
and
CP+5%.
Subjects
performed
only
one
test
on
any
given
day,
and
the
tests
were
each
separated
by
24—48
h
but
completed
within
a
period
of
two
weeks.
3.1.
Procedures
3.1.1.
Materials
All
exercise
testing
was
performed
on
the
cyclist’s
own
bicy-
cle,
which
was
mounted
on
the
ComputrainerTM ergometer
system
(ComputrainerTM Pro
3D,
RacerMate,
Seattle,
Wash-
ington,
USA).
The
rear
wheel
was
inflated
to
800
kPa
after
which
the
system’s
load
generator
was
calibrated
to
a
rolling
resistance
between
0.88
and
0.93
kg.
This
calibration
proce-
dure
was
done
before
and
directly
after
the
15-min
warm-up
to
ensure
accurate
calibration
as
recommended
by
Davidson
et
al.
[20].
Respiratory
and
pulmonary
gas
exchange
varia-
bles
were
measured
breath-by-breath
during
all
protocols
(Quark
PFTergo,
Cosmed,
Rome,
Italy).
Before
each
test,
the
O2and
CO2analysis
systems
were
calibrated
using
ambient
air
and
a
gas
of
known
O2and
CO2concentration
according
to
the
manufacturer’s
instructions,
while
the
Quark
PFTergo
turbine
flow-meter
was
calibrated
using
a
3-L
syringe
(Cali-
bration
Syringe
3-L,
Cosmed,
Rome,
Italy).
Heart
rate
(HR)
was
continuously
recorded
during
the
tests
by
a
HR
monitor
incorporated
into
the
gas
analyzer.
Breath-by-breath
oxygen
uptake
(VO2)
and
HR
data
were
reduced
to
15
s
stationary
averages
throughout
the
tests
(Data
Management
Software,
Cosmed,
Rome,
Italy).
Capillary
blood
samples
(25
l)
were
obtained
from
the
ear
lobe
of
each
subject
during
all
tests,
and
the
blood
lactate
concentration
([lac])
was
measured
using
an
electrochemical
analyzer
(YSL
2700
STAT,
Yellow
Springs,
Ohio,
USA).
The
analyzer
was
calibrated
in
accor-
dance
with
the
manufacturer’s
recommended
procedures.
3.1.2.
Incremental
exercise
testing
The
incremental
test
started
at
100
W
and
was
continuously
increased
by
30
W
every
3
min
until
volitional
exhaustion
[21].
Blood
samples
were
collected
during
the
final
15
s
of
every
3
min.
Each
cyclist
was
verbally
encouraged
to
under-
take
maximum
effort.
VO2max was
considered
as
the
highest
value
obtained
in
a
15
s
interval.
The
attainment
of
VO2max
was
defined
using
the
criteria
proposed
by
Lacour
et
al.
[22].
Pmax was
determined
according
to
the
equation
Pmax
(W)
=
power
output
last
stage
completed
(W)
+
[t
(s)/step
duration
(s)
×
step
increment
(W)],
where
‘‘t’’
is
the
time
of
the
uncompleted
stage
[23].
3.1.3.
Determination
of
critical
power
The
CP
was
determined
using
three
TTE
values
measured
from
the
constant
work
rate
tests
(95,
100,
and
110%
Pmax).
Before
each
test,
subjects
completed
a
10-min
warm-up
at
50%
Pmax followed
by
a
5-min
rest,
after
which
the
sub-
jects
were
instructed
to
perform
the
required
power
output
until
they
were
unable
to
maintain
the
fixed
power
out-
put.
All
exercise
testing
was
performed
at
the
cyclist’s
preferred
cadence.
Subjects
were
verbally
encouraged
to
undertake
maximum
effort
for
as
long
as
possible
through-
out
the
tests.
Cardiorespiratory
variables
were
measured
continuously
during
all
protocols.
TTE
was
measured
to
the
nearest
second.
The
linear
model
P
versus
1/TTE
was
used
to
determine
CP
[24]:
P
=
(AWC/TTE)
+
CP;
where
TTE
=
time
to
exhaustion;
AWC
=
anaerobic
work
capacity;
P
=
power
out-
put;
CP
=
critical
power.
3.1.4.
Time
to
exhaustion
at
critical
power
and
5%
above
critical
power
After
a
10-min
warm-up
at
power
output
50%
Pmax followed
by
a
5-min
rest,
subjects
were
instructed
to
perform
the
required
power
output
(CP
and
CP+5%)
to
exhaustion.
Car-
diorespiratory
variables
were
measured
continuously
during
tests.
Both
exercise
tests
were
stopped
when
the
cadence
fell
below
the
preferred
cadence
and/or
until
volitional
exhaustion.
Athletes
were
blinded
to
the
time
elapsed
on
testing
protocols.
Blood
samples
were
collected
in
the
5th
min
and
at
exhaustion
to
determine
[lac].
TTE
was
measured
to
the
nearest
second.
The
VO2SC was
computed
as
the
dif-
ference
between
VO2at
exhaustion
and
the
3rd
min
of
the
exercise
[15].
3.1.5.
Statistical
analysis
All
data
throughout
are
expressed
as
mean
±
SD.
The
Shapiro-Wilk
test
was
applied
to
ensure
a
Gaussian
distri-
bution
of
the
data.
One-way
repeated-measures
ANOVA
was
used
to
compare
the
maximal
physiological
variables
from
incremental
exercise
test
with
end
physiological
variables
from
the
TTE
tests
at
CP
and
5%
above.
Two-way
repeated-
measures
ANOVA
was
used
across
intensities
(CP
and
CP+5%)
and
relative
time
(25%,
50%,
75%,
and
100%).
In
case
of
a
non-significant
interaction,
only
the
main
effect
of
the
test
was
considered.
When
intensity-by-time
interactions
were
significant,
post
hoc
one-way
ANOVA
was
performed
on
the
relevant
data,
and
the
Bonferroni-adjusted
paired
t-
test
was
used
as
appropriate
to
identify
differences
between
responses
at
specific
time
points.
The
level
of
significance
was
set
at
P
<
0.05.
4.
Results
VO2max,
Pmax,
HRmax,
VEmax,
and
[lac]max values
were
68.8
±
5.6
ml/kg/min,
344
±
43
W,
196
±
7
bpm,
164.1
±
26.4
l/min,
and
12.2
±
1.9
mmol/l,
respectively.
TTE
at
95,
100,
and
110%
Pmax values
were
9.9
±
3.8,
6.8
±
2.7,
and
3.8
±
2.0
min,
respectively.
The
model-
ing
of
the
power-inverse
time
relationship
(adjusted
Please
cite
this
article
in
press
as:
de
Lucas
RD,
et
al.
Time
to
exhaustion
at
and
above
critical
power
in
trained
cyclists:
The
relationship
between
heavy
and
severe
intensity
domains.
Sci
sports
(2012),
http://dx.doi.org/10.1016/j.scispo.2012.04.004
ARTICLE IN PRESS
+Model
SCISPO-2704;
No.
of
Pages
6
4
R.D.
de
Lucas
et
al.
r2=
0.95
±
0.05)
provided
mean
CP
values
of
295
±
39
W
(SEE
=
7.5
±
4.2
W).
TTE
at
CP
(22.9
±
7.5
min)
was
signifi-
cantly
higher
(P
<
0.01)
than
TTE
at
CP+5% (13.3
±
5.8
min).
The
ranges
of
the
TTE
values
for
the
two
intensities
were
15.6—42.5
min
at
CP
and
10.3—30.1
min
at
CP+5%.
In
addition,
TTE
values
from
the
two
intensities
were
highly
correlated
(r
=
0.90,
P
<
0.05).
However,
no
other
variable
was
associated
with
TTE
at
CP
and
CP+5%.There
was
no
significant
difference
between
VO2(68.0
±
6.3
ml/kg/min),
VE
(155.8
±
26.6
l/min),
and
[lac]
(11.0
±
2.4
mmol/l)
obtained
at
the
end
of
CP+5% exhaustion
trial
compared
to
the
incremental
test.
However,
the
end
value
of
VO2
(64.8
±
5.7
ml/kg/min),
VE
(145.7
±
22.5
l/min),
and
[lac]
(9.5
±
2.1
mmol/l)
during
the
CP
test
was
significantly
lower
than
VO2max,
VEmax,
and
[lac]max,
respectively.
The
VO2at
exhaustion
averaged
94%
of
VO2max.
The
end
HR
values
at
CP
(190
±
8
bpm)
and
CP+5% (189
±
7
bpm)
were
significantly
lower
than
the
HRmax (P
<
0.01).
The
mean
physiological
responses
during
exercise
at
CP
and
CP+5% are
shown
in
Fig.
1.
Two-way
ANOVA
with
repeated
measures
across
intensity
and
relative
time
revealed
no
significant
intensity-by-time
interaction
for
any
dependent
variables
(VO2,
P
=
0.99;
VE,
P
=
0.97;
HR,
P
=
0.96).
How-
ever,
the
main
effect
showed
that
VO2increased
over
time
until
75%
of
TTE.
In
contrast,
VE
and
HR
increased
over
the
entire
duration
of
the
tests.
We
did
not
find
sig-
nificant
differences
in
the
VO2SC between
the
intensities
(247
±
82
ml/min
versus
222
±
106
ml/min
for
CP
and
CP+5%,
respectively).
5.
Discussion
The
aim
of
this
study
was
to
determine
the
physiological
responses
during
TTE
at
CP
and
CP+5% in
competitive
cyclists.
The
main
finding
was
that
when
subjects
were
exercising
at
intensities
slightly
above
CP
(i.e.
5%),
VO2max was
attained.
Few
studies
have
analyzed
physiological
responses
at
CP
and/or
above
in
trained
cyclists
[12,25,26].
The
mean
value
of
CP
observed
in
our
study
was
300
W,
unlike
classic
stud-
ies
by
Poole
et
al.
[3,4]
conducted
with
physically
active
subjects
(CP
=
200
W).
The
subjects
different
fitness
levels
could
change
the
percentage
above
CP
in
which
VO2max was
reached
and
hence
the
lower
boundary
of
severe
domain
[18].
In
a
recent
review,
Jones
et
al.
[27]
highlighted
that
CP
was
found
to
occur
at
80%
of
VO2max,
approximately
midway
between
the
gas
exchange
threshold
and
VO2max
(50%
).
In
contrast,
Caputo
and
Denadai
[18]
showed,
in
trained
cyclists
(CP
=
303
W),
that
the
upper
bound-
ary
of
the
heavy
intensity
domain
lies
at
approximately
75%
,
suggesting
that
aerobic
training
modifies
the
rela-
tionship
between
CP
and
the
difference
between
first
lactate
threshold
and
VO2max.
In
the
present
investigation,
we
found
an
average
of
65%
,
and
this
value
could
be
explained
by
the
fact
that
experimental
procedures
were
held
in
the
beginning
of
the
competitive
season.
Never-
theless,
the
athletes
had
at
least
4
years
of
training
on
a
regular
basis,
ensuring
a
good
development
of
aerobic
fitness.
To
our
knowledge,
this
is
the
first
study
in
trained
cyclists
(VO2max =
68.8
ml/kg/min)
that
has
analyzed
TTE
Figure
1
Cardiorespiratory
measures
(mean,
SD)
during
time
to
exhaustion
at
critical
power
(CP)
and
5%
above
(CP+5%).
VO2
(A);
HR
(B);
VE
(C);
different
letters
mean
significant
difference
over
time
(P
<
0.05).
and
VO2response
at
and
above
CP.
We
have
used
a
fixed
percentage
above
CP
(i.e.
5%)
instead
of
the
fixed
work
rate
used
by
others
[11,28],
i.e.
10
or
15
W
above
CP
to
measure
physiological
responses
in
untrained
sub-
jects.
The
studies
published
by
Poole
et
al.
[3,4]
have
been
misunderstood
by
others
[11,12,29]
since
the
percentage
Please
cite
this
article
in
press
as:
de
Lucas
RD,
et
al.
Time
to
exhaustion
at
and
above
critical
power
in
trained
cyclists:
The
relationship
between
heavy
and
severe
intensity
domains.
Sci
sports
(2012),
http://dx.doi.org/10.1016/j.scispo.2012.04.004
ARTICLE IN PRESS
+Model
SCISPO-2704;
No.
of
Pages
6
Time
to
exhaustion
at
and
above
critical
power
5
above
CP
cited
does
not
represent
the
actual
value.
In
fact,
Poole
et
al.
[3,4]
used
5%
of
peak
power
output
from
the
incremental
test
to
calibrate
the
intensity
above
CP.
Con-
sequently,
the
subjects
exercised
at
different
percentages
above
CP
(i.e.
6—8%),
values
slightly
different
than
those
aforementioned
authors
have
described
(i.e.
8—11%
above
CP)
about
studies
from
Poole
et
al.
[3,4].
It
is
important
to
note
that
the
imprecision
of
the
CP
estimate
would
influ-
ence
VO2and
[lac]
responses,
as
well
as
TTE.
These
facts
lead
us
to
choose
a
fixed
percentage
over
a
fixed
work-
load,
since
our
results
showed
an
average
SEE
of
2.5
±
1.4%
(7.5
±
4.2
W)
and
hence
ensured
that
subjects
cycled
just
above
CP.
When
exercise
was
performed
at
CP+5%,
the
TTE
decreased
approximately
40%
compared
with
TTE
at
CP.
However,
the
VO2at
the
end
of
exercise
was
significantly
different
from
the
CP
test
but
not
different
from
VO2max
(Fig.
1A).
The
HR
values
were
very
close
to
HRmax (97%),
and
VE
had
no
significant
differences
from
VEmax (Figs.
1B
and
C,
respectively).
Also,
the
end
[lac]
was
not
sub-
stantially
different
from
the
incremental
exercise
testing.
Brickley
et
al.
[12]
reported
that
the
VO2at
CP
averaged
91%
of
VO2max.
In
agreement
with
this
study,
the
VO2response
at
CP
indicated
a
progressive
increase
reaching
94%
of
VO2max
at
exhaustion.
Therefore,
the
data
from
our
study
support
the
suggestions
that
VO2max is
not
elicited
at
CP
and
that
the
intensity
of
exercise
needs
to
be
increased
by
about
5%
for
VO2max to
be
reached.
This
is
in
accordance
with
the
description
of
the
severe
domain
(>
CP),
in
which
both
VO2and
[lac]
do
not
stabi-
lize
but
rise
continuously
over
time
until
VO2max is
reached
and/or
fatigue
resulting
from
the
metabolic
acidosis
termi-
nates
exercise
[30].
The
short
tolerance
observed
during
exercise
above
CP
has
been
associated
with
the
gradual
depletion
of
AWC,
which
is
determined
by
the
limited
sup-
plies
of
energy
[2].
A
previous
study
performed
with
an
exercise
intensity
of
10%
above
CP
found
a
gradual
deple-
tion
of
phosphocreatine
and
pH
and
an
increase
in
inorganic
phosphate
[31].The
TTE
observed
at
CP
agreed
with
stud-
ies
on
trained
cyclists
that
indicate
the
overestimation
of
maximal
lactate
steady
state
[12,32—34].
Housh
et
al.
[35]
reported
that
TTE
at
CP
was
33.3
min
±
14.4
s.
Brickley
et
al.
[12]
found
that
TTE
ranges
from
20.1
min
to
40.4
min
during
CP
tests.
In
the
study
by
Brickley
et
al.
[12],
the
subjects
who
had
the
highest
VO2max and
the
highest
CP
reached
their
exhaustion
time
earlier
(r
=
0.78;
r
=
0.92
P
<
0.05,
respectively).
In
the
present
study,
we
failed
to
demonstrate
any
significant
correlation
between
TTE
and
VO2max,
Pmax or
CP.
The
identification
of
meaningful
markers
of
the
inten-
sity
at
which
exercise
is
performed
is
useful
for
training
programs
and
studies
designed
for
athletes.
However,
the
methods
used
to
determine
the
CP
may
demarcate
the
exer-
cise
intensity
domains
at
a
different
power
output.
Some
studies
have
reported
that
CP
estimates
differ
significantly
depending
upon
the
mathematical
model
used
to
determine
the
power-time
relationship
(data
can
vary
by
up
to
24%)
[14,36].
More
recently,
Bull
et
al.
[15]
found
in
runners
that
critical
velocity
estimates
from
the
five
models
varied
by
18%.
Therefore,
these
studies
support
the
idea
that
the
lin-
ear
model
used
in
our
study
is
acceptable
to
estimate
the
boundary
of
heavy
to
severe
exercise
domain.
Thus,
CP
could
be
an
important
and
practical
index
to
prescribe
interval
training
between
these
domains.
6.
Conclusion
The
data
from
our
study
support
the
idea
that
CP
deter-
mined
in
trained
cyclists
(CP
=
300
W)
is
the
physiological
index
that
estimates
the
boundary
between
heavy
to
severe
exercise
intensity
domains.
In
addition,
the
physiological
variables
did
not
reach
steady
state
during
the
CP
test
to
exhaustion,
but
the
VO2max was
not
elicited.
However,
when
cyclists
had
exercised
at
a
power
output
5%
higher
than
CP,
the
VO2max was
reached
at
the
end
of
exercise.
Disclosure
of
interest
The
authors
declare
that
they
have
no
conflicts
of
interest
concerning
this
article.
References
[1] Monod
H,
Scherrer
J.
The
work
capacity
of
a
synergic
muscular
group.
Ergonomics
1965;8(3):329—38.
[2]
Moritani
T,
Nagata
A,
de
Vries
HA,
Muro
M.
Critical
power
as
a
measure
of
physical
work
capacity
and
anaerobic
threshold.
Ergonomics
1981;24(5):339—50.
[3]
Poole
DC,
Ward
SA,
Gardner
G,
Whipp
BJ.
Metabolic
and
respi-
ratory
profile
of
the
upper
limit
for
prolonged
exercise
in
man.
Ergonomics
1988;31(9):1265—79.
[4]
Poole
DC,
Ward
SA,
Whipp
BJ.
The
effects
of
training
on
the
metabolic
and
respiratory
profile
of
high-intensity
cycle
ergometer
exercise.
Eur
J
Appl
Physiol
1990;59(6):421—9.
[5]
Billat
VL,
Mousele
E,
Roblot
N,
Melki
J.
Inter-
and
intra-
strain
variation
in
mouse
critical
running
speed.
J
Appl
Physiol
2005;98(4):1258—63.
[6]
Copp
SW,
Hirai
DM,
Musch
TI,
Poole
DC.
Critical
speed
in
the
rat:
implications
for
hindlimb
muscle
blood
flow
distribution
and
fibre
recruitment.
J
Physiol
2010;588(24):5077—87.
[7]
Hughson
RL,
Orok
CJ,
Staudt
LE.
A
high-velocity
treadmill
run-
ning
test
to
assess
endurance
running
potential.
Int
J
Sports
Med
1984;5(1):23—5.
[8]
Wakayoshi
K,
Ikuta
K,
Yoshida
T,
Udo
M,
Moritani
T,
Mutoh
Y,
et
al.
Determination
and
validity
of
critical
velocity
as
an
index
of
swimming
performance
in
the
competitive
swimmer.
Eur
J
Appl
Physiol
Occup
Physiol
1992;64(2):153—7.
[9]
Hill
DW,
Alain
C,
Kennedy
MD.
Modeling
the
relationship
between
velocity
and
time
to
fatigue
in
rowing.
Med
Sci
Sports
Exerc
2003;35(12):2098—105.
[10]
Fukuba
Y,
Miura
A,
Endo
M,
Kan
A,
Yanagawa
K,
Whipp
BJ.
The
curvature
constant
parameter
of
the
power-duration
curve
for
varied-power
exercise.
Med
Sci
Sports
Exerc
2003;35(8):1413—8.
[11]
Hill
DW,
Poole
DC,
Smith
JC.
The
relationship
between
power
and
time
to
achieve
VO2max.
Med
Sci
Sports
Exerc
2002;34(4):709—14.
[12]
Brickley
G,
Doust
J,
Williams
CA.
Physiological
responses
dur-
ing
exercise
to
exhaustion
at
critical
power.
Eur
J
Appl
Physiol
2002;88(1-2):146—51.
[13]
Carter
H,
Grice
Y,
Dekerle
J,
Brickley
G,
Hammond
AJP,
Pringle
JS.
Effect
of
prior
exercise
above
and
below
criti-
cal
power
on
exercise
to
exhaustion.
Med
Sci
Sports
Exerc
2005;37(5):775—81.
Please
cite
this
article
in
press
as:
de
Lucas
RD,
et
al.
Time
to
exhaustion
at
and
above
critical
power
in
trained
cyclists:
The
relationship
between
heavy
and
severe
intensity
domains.
Sci
sports
(2012),
http://dx.doi.org/10.1016/j.scispo.2012.04.004
ARTICLE IN PRESS
+Model
SCISPO-2704;
No.
of
Pages
6
6
R.D.
de
Lucas
et
al.
[14]
Bull
AJ,
Housh
TJ,
Johnson
GO,
Perry
SR.
Effect
of
mathemati-
cal
modeling
on
the
estimation
of
critical
power.
Med
Sci
Sports
Exerc
2000;32(2):526—30.
[15]
Bull
AJ,
Housh
TJ,
Johnson
GO,
Rana
SR.
Physiological
responses
at
five
estimates
of
critical
velocity.
Eur
J
Appl
Physiol
2008;102(6):711—20.
[16] Housh
TJ,
Cramer
JT,
Bull
AJ,
Johnson
GO,
Housh
DJ.
The
effect
of
mathematical
modeling
on
critical
velocity.
Eur
J
Appl
Physiol
2001;84(5):469—75.
[17]
Dekerle
J,
Vanhatalo
A,
Burnley
M.
Determination
of
critical
power
from
a
single
test.
Sci
Sports
2008;23(5):231—8.
[18]
Caputo
F,
Denadai
BS.
Does
the
75%
of
the
difference
between
the
VO2at
lactate
threshold
and
VO2max
lie
at
severe
inten-
sity
domain
in
well
trained
cyclists?
Sci
Sports
2009;24(5):
257—61.
[19]
Carter
H,
Jones
AM,
Maxwell
NS,
Doust
JH.
The
effect
of
inter-
dian
and
diurnal
variation
on
oxygen
uptake
kinetics
during
treadmill
running.
J
Sports
Sci
2002;20(11):901—9.
[20]
Davidson
RCR,
Corbett
J,
Ansley
L.
Influence
of
tempera-
ture
and
protocol
on
the
calibration
of
the
computrainer
electromagnetically
braked
cycling
ergometer.
J
Sports
Sci
2007;25(3):257—8.
[21] Bentley
DJ,
Newell
J,
Bishop
D.
Incremental
exercise
test
design
and
analysis:
implications
for
performance
diagnostics
in
endurance
athletes.
Sports
Med
2007;37(7):575—86.
[22]
Lacour
JR,
Padilla-Magunacelaya
S,
Chatard
JC,
Arsac
L,
Barthelemy
JC.
Assessment
of
running
velocity
at
maximal
oxygen
uptake.
Eur
J
Appl
Physiol
Occup
Physiol
1991;62(2):
77—82.
[23]
Kuipers
H,
Verstappen
FT,
Keizer
HA,
Geurten
P,
Van
KG.
Variability
of
aerobic
performance
in
the
laboratory
and
its
physiologic
correlates.
Int
J
Sports
Med
1985;6(4):
197—201.
[24]
Hill
DW.
The
critical
power
concept.
A
review.
Sports
Med
1993;16(4):237—54.
[25]
Jenkins
DG,
Quigley
BM.
Blood
lactate
in
trained
cyclists
during
cycle
ergometry
at
critical
power.
Eur
J
Appl
Physiol
Occup
Physiol
1990;61(3—4):278—83.
[26]
Baron
B,
Dekerle
J,
Neviere
R,
Robin
S,
Pelayo
P.
Physiological
responses
during
exercise
performed
to
exhaustion
at
critical
power.
J
Hum
Mov
Stud
2005;49:169—80.
[27] Jones
AM,
Vanhatalo
A,
Burnley
M,
Morton
RH,
Poole
DC.
Crit-
ical
power:
implications,
for
determination
of
VO2max
and
exercise
tolerance.
Med
Sci
Sports
Exerc
2010;42(10):1876—90.
[28]
Burnley
M,
Doust
JH,
Vanhatalo
A.
A
3-min
all-out
test
to
deter-
mine
peak
oxygen
uptake
and
the
maximal
steady
state.
Med
Sci
Sports
Exerc
2006;38(11):1995—2003.
[29]
Hill
DW,
Ferguson
CS.
A
physiological
description
of
critical
velocity.
Eur
J
Appl
Physiol
1999;79(3):290—3.
[30]
Gaesser
GA,
Poole
DC.
The
slow
component
of
oxygen
uptake
kinetics
in
humans.
Exerc
Sport
Sci
Rev
1996;24:35—71.
[31]
Jones
AM,
Wilkerson
DP,
Dimenna
F,
Fulford
J,
Poole
DC.
Muscle
metabolic
responses
to
exercise
above
and
below
the
‘‘critical
power’’
assessed
using
31P-MRS.
Am
J
Physiol
Regul
Integr
Comp
Physiol
2008;294(2):585—93.
[32]
Pringle
JS,
Jones
AM.
Maximal
lactate
steady
state,
crit-
ical
power
and
EMG
during
cycling.
Eur
J
Appl
Physiol
2002;88(3):214—26.
[33] Dekerle
J,
Baron
B,
Dupont
L,
Vanvelcenaher
J,
Pelayo
P.
Max-
imal
lactate
steady
state,
respiratory
compensation
threshold
and
critical
power.
Eur
J
Appl
Physiol
2003;89(3—4):281—8.
[34]
Caritá
RAC,
Greco
CC,
Denadai
BS.
Máxima
fase
estável
de
lac-
tato
sanguíneo
e
potência
crítica
em
ciclistas
bem
treinados.
Rev
Bras
Med
Esporte
2009;15(5):370—3.
[35]
Housh
DJ,
Housh
TJ,
Bauge
SM.
The
accuracy
of
the
criti-
cal
power
test
for
predicting
time
to
exhaustion
during
cycle
ergometry.
Ergonomics
1989;32(8):997—1004.
[36]
Gaesser
GA,
Carnevale
TJ,
Garfinkel
A,
Walter
DO,
Womack
CJ.
Estimation
of
critical
power
with
nonlinear
and
linear
models.
Med
Sci
Sports
Exerc
1995;27(10):1430—8.
... Levando em conta a melhor associação dos índices da primeira transição fisiológica com a MFEL, é possível que este marcador corresponda ao limite inferior do domínio pesado no remoergômetro. (POOLE, WARD et al., 1988;DE LUCAS, DE SOUZA et al., 2013), uma vez que isso ocorre em intensidades levemente superiores a PC (i.e., 5-10%; POOLE, WARD et al., 1988;DE LUCAS, DE SOUZA et al., 2013). Apesar das recentes discussões sobre a intensidade que represente o máximo estado de estabilidade fisiológica (JONES, BURNLEY et al., 2019), ambos os índices representam a transição do domínio pesado para o severo (POOLE, WARD et al., 1988;FAUDE, KINDERMANN et al., 2009) (BENEKE, 1995;BENEKE, LEITHAUSER et al., 2001;BOURDON, WOOLFORD et al., 2018), inferior ao comumente reportado em outras modalidades. ...
... Levando em conta a melhor associação dos índices da primeira transição fisiológica com a MFEL, é possível que este marcador corresponda ao limite inferior do domínio pesado no remoergômetro. (POOLE, WARD et al., 1988;DE LUCAS, DE SOUZA et al., 2013), uma vez que isso ocorre em intensidades levemente superiores a PC (i.e., 5-10%; POOLE, WARD et al., 1988;DE LUCAS, DE SOUZA et al., 2013). Apesar das recentes discussões sobre a intensidade que represente o máximo estado de estabilidade fisiológica (JONES, BURNLEY et al., 2019), ambos os índices representam a transição do domínio pesado para o severo (POOLE, WARD et al., 1988;FAUDE, KINDERMANN et al., 2009) (BENEKE, 1995;BENEKE, LEITHAUSER et al., 2001;BOURDON, WOOLFORD et al., 2018), inferior ao comumente reportado em outras modalidades. ...
... Em relação às respostas metabólicas, em intensidades abaixo da PC não ocorre aumento contínuo na depleção de fosfocreatina e acúmulo de metabólitos como o fosfato inorgânico e os íons de hidrogênio, o que ocorre de maneira substancial durante o exercício realizado cerca de 10% acima da PC(JONES, WILKERSON et al., 2008). Semelhantemente, o comportamento do V O2 apresenta diferenças nas intensidades acima ou abaixo da PC, sendo que, abaixo da PC o V O2max não é atingido, já acima dessa intensidade, o V O2max é atingido(DE LUCAS, SOUZA et al., 2013). Assim, a PC tem sido indicada como um índice que representa o máximo estado de estabilidade metabólica, delimitando os domínios pesado e severo(JONES, BURNLEY et al., 2019).Levando em consideração que essa intensidade é identificada a partir de modelagem matemática,Gaesser, Carnevale et al., (1995) avaliaram a PC utilizando-se diferentes modelagens (Linear-tempo e potência, Linear-tempo e trabalho, Hiperbólico-2 e 3 parâmetros e Exponencial), sendo que, o hiperbólico de 3 parâmetros foi subestimado comparado com os demais modelos utilizados. ...
Thesis
Full-text available
The maximal lactate steady state (MLSS) and critical power (CP) represent the transition from heavy to severe domain and present important relationship with aerobic performance. Due the difficults on determination of these intensities, physiological index derived from incremental tests has been used in estimation. The muscle deoxihemoglobin ([HHb]BP) derivated of near infrared spectroscopy (NIRs) report the muscle oxygen extraction, which present a plateau in response during incremental test, identifying a break point ([HHb]BP), that has been associated with some index of second physiological transition and MLSS. This association, however, has not yet been determined in rowing, sport in which index of second physiological transition overestimated the MLSS. The aim of the present study was to compare the MLSS and CP intensities with the [HHb]BP in vastus lateralis muscle in incremental test with (INC3min) and without (INC1min) recovery in rowing ergometer. In addition, to verify their correlation with performance. Fourteen rowers (age: 26 ± 13 years; body mass: 81.0 ± 7.6 kg; height: 1.82 ± 0.05 m; 2000m time: 415 ± 18 s) performed: I) anthropometric assessment; II) INC3min, with initial load of 130 W and 30 W exercise steps of 3-min and 30 s of passive recovery; III) MLSS determination, through 30-min constant load tests; IV) INC1min, with initial load of 130 W and 30 W exercise steps of 1-min without recovery and V) CP determination through 500, 1000, 2000 and 6000m tests. The vastus lateralis muscle oxygenation was measured by NIRs for determination of [HHb]BP in INC3min ([HHb]BP3min) and INC1min ([HHb]BP1min), that was compared with power of MLSS, CP and first and second physiological transition indexes derivate of blood lactate, heart rate, ventilation and performance tests. The data were expressed as mean and ± SD. The comparison were performed using ANOVA one-way. Pearson correlation with confidence intervals of 95%, mean difference (Δ) and typical error of estimate (TEE) for such indexes with significance level of p < 0.05. The [HHb]BP1min (204 ± 29W) and [HHb]BP3min (207 ± 29W) showed low correspondence from each other (Δ: -3.4%; TEE: 13.2%; r = 0.51), overestimated the MLSS (Δ: 8.4 and 13.1%; TEE: 15.3 and 15.6%) and underestimated the CP (Δ: -20.4% and -17.4%; TEE: 12.3% and 10.5%). The CP was higher than MLSS (Δ: 37.6%; TEE: 10.8%; p < 0.01). The 18 second transition indexes overestimated MLSS (Δ: 12.5 to 44.9%; TEE: 5.6 to 14.3%), while LL2,0 (186 ± 27 W) and VT1 (193 ± 18 W) presented the smallest TEE (11.0 and 9.5%) and Δ (-2.3 and 4.0%), respectively, with magnitudes from trivial to medium. The time (r = -0.87) and mean power (r = 0.86) of 1000m test showed a very large correlation with MLSS. The [HHb]3min and [HHb]1min presented low correlations with performance tests. In conclusion, despite the [HHb]3min and [HHb]1min did not show significant diferences from MLSS, it was observed high variability with high TEE and mean difference that suggest a small correspondence between these indexes. In addition, the CP was higher than [HHb]BP and MLSS. Taking into account the better association of first physiological transition index with the MLSS, which clearly underestimated CP, it is possible that these markers correspond to the lower and the upper boundaries of the heavy domain on rowing exercise.
... To the best of our knowledge, this study provides the first comparison of CP values between cycling and running. While a theoretical basis for power application exists in cycling [10,13,[30][31][32][33][34], a more detailed examination of running power is necessary. ...
... Running involves a semi-open-chain cyclic gesture, while cycling is a closed-chain cyclic movement [48]. Therefore, the CP in cycling determined with the 3-min All-Out test [26,27] was considered to be 100% (251.1 W ± 37.0 W) due to its importance as the primary indicator of external load in this sport [10], as well as its consistent theoretical basis for use and application of power [10,13,[30][31][32][33][34]. In contrast, the watts corresponding to the running CP determined with the 9/3-minute Stryd CP were overestimated by 20.2% (301.78 ...
Article
Full-text available
The differences in power meters and gestures between cycling and running can have an impact on determining Critical Power (CP) intensity in each sport. CP is a concept that has been extensively researched in cycling, but with the advent of power measurement in running, it can now be examined in that discipline as well. The purpose of the present study was to determine whether power output at CP intensity is interchangeable between cycling and running segments measured with their respective discipline-specific power meters. A group of 18 trained triathletes (age 33.0 ± 11.1 years, height 1.75 ± 0.06 m, body mass 71.2 ± 7.1 kg) performed a CP test in cycling (3-min All-Out Test) and running (9/3-min Stryd CP Test). The main results of the present study showed significant differences (p < 0.001) between CP in cycling and running. The running CP (301.8 W ± 41.5 W) was 20.2% overestimated compared with the cycling CP (251.1 W ± 37.0 W). Cycling power only explained 26.7% of the running power (R 2 = 0.267; p = 0.284). Therefore, power would not be interchangeable between the cycling and running disciplines at CP intensity. In conclusion, it would be necessary to carry out a specific test for each discipline to be able to make a correct determination of CP.
... Though the mean biases are regularly reported to be < 5 beats per minute (bpm), the limits of agreement (LoA) widths have ranged from 20 to 52 bpm at VT 1 to 22.6 to 40 bpm at VT 2 (Fleitas-Paniagua et al., 2024;Rogers et al., 2021a;Schaffarczyk et al., 2023;Sempere Ruiz et al., 2024;Van Hooren, Mennen, et al., 2023), while 42 to 54 bpm and 28 to 40.7 bpm at LT 1 and LT 2 respectively (Fleitas-Paniagua et al., 2024;Mateo-March et al., 2023;Sempere Ruiz et al., 2024). The wide LoA suggest some caution for using DFA-α1 based thresholds as differences of <10 bpm result in significant differences in accumulated metabolic stress (Azevedo et al., 2022;Black et al., 2017;Ribeiro et al., 1986) and time to exhaustion (de Lucas Rd et al., 2013) during exercise. Therefore, it is critical to understand the underlying factors that might contribute to poor agreement for certain individuals, thus inflating the overall LoA, and ultimately make DFA-α1 feasible to estimate thresholds with more confidence across different populations. ...
... 45 On the other hand, sustaining exercise at 90% to 95% of VO 2 max intensity is only possible for 10 to 20 minutes. 46,47 ...
Article
Full-text available
Purpose : Without appropriate standardization of exercise doses, comparing high- (HI) and low-intensity (LI) training outcomes might become a matter of speculation. In athletic preparation, proper quantification ensures an optimized stress-to-recovery ratio. This review aims to compare HI and LI doses by estimating theoretically the conversion ratio, 1: x , between HI and LI: How many minutes, x , of LI are equivalent to 1 minute of HI using various quantification methods? A scrutinized analysis on how the dose increases in relation to duration and intensity was also made. Analysis : An estimation was conducted across 4 categories encompassing 10 different approaches: (1) “arbitrary” methods, (2) physiological and perceptual measurements during exercise, (3) postexercise measurements, and comparison to (4a) acute and (4b) chronic intensity-related maximum dose. The first 2 categories provide the most conservative estimation for the HI:LI ratio (1:1.5–1:10), and the third, slightly higher (1:4–1:11). The category (4a) provides the highest estimation (1:52+) and (4b) suggests 1:10 to 1:20. The exercise dose in the majority of the approaches increase linearly in relation to duration and exponentially in relation to intensity. Conclusions : As dose estimations provide divergent evaluations of the HI:LI ratio, the choice of metric will have a large impact on the research designs, results, and interpretations. Therefore, researchers should familiarize themselves with the foundations and weaknesses of their metrics and justify their choice. Last, the linear relationship between duration and exercise dose is in many cases assumed rather than thoroughly tested, and its use should be subjected to closer scrutiny.
... until exhaustion. These studies have shown that, on average, the peak VȮ 2 during these trials is not different on average from VȮ 2 max (16,22,35,65,100,103,131,137). By contrast, recent studies have taken a different approach by determining MVȮ 2 SS through multiple constant cycling workloads, with 10-15-watt increments (71,107). ...
Article
Borszcz, FK, de Aguiar, RA, Costa, VP, Denadai, BS, and de Lucas, RD. Agreement between maximal lactate steady state and critical power in different sports: A systematic review and Bayesian's meta-regression. J Strength Cond Res 38(6): e320-e339, 2024-This study aimed to systematically review the literature and perform a meta-regression to determine the level of agreement between maximal lactate steady state (MLSS) and critical power (CP). Considered eligible to include were peer-reviewed and "gray literature" studies in English, Spanish, and Portuguese languages in cyclical exercises. The last search was made on March 24, 2022, on PubMed, ScienceDirect, SciELO, and Google Scholar. The study's quality was evaluated using 4 criteria adapted from the COSMIN tool. The level of agreement was examined by 2 separate meta-regressions modeled under Bayesian's methods, the first for the mean differences and the second for the SD of differences. The searches yielded 455 studies, of which 36 studies were included. Quality scale revealed detailed methods and small samples used and that some studies lacked inclusion/exclusion criteria reporting. For MLSS and CP comparison, likely (i.e., coefficients with high probabilities) covariates that change the mean difference were the MLSS time frame and delta criteria of blood lactate concentration, MLSS number and duration of pauses, CP longest predictive trial duration, CP type of predictive trials, CP model fitting parameters, and exercise modality. Covariates for SD of the differences were the subject's maximal oxygen uptake, CP's longest predictive trial duration, and exercise modality. Traditional MLSS protocol and CP from 2-to 15-minute trials do not reflect equivalent exercise intensity levels; the proximity between MLSS and CP measures can differ depending on test design, and both MLSS and CP have inherent limitations. Therefore, comparisons between them should always consider these aspects.
... Our results agree with Copp et al. [28], who showed that at constant intensities below~15% of the CV, exercise may last for long periods (>40 min) as mice stabilize VO 2 . If we consider studies in humans, our tlim data at CV agree with the literature, which reports a range between 15 and 30 min at a critical power intensity [50][51][52][53]. ...
Article
Full-text available
Although the critical velocity (CV) protocol has been used to determine the aerobic capacity in rodents, there is a lack of studies that compare CV with maximal lactate steady state intensity (iMLSS) in mice. As a consequence, their physiological and molecular responses after exercise until exhaustion at CV intensity remain unclear. Thus, we aimed to compare and correlate CV with iMLSS in running mice, following different mathematical models for CV estimation. We also evaluated their physiological responses and muscle MCT1 and MCT4 after running until exhaustion at CV. Thirty C57BL/6J mice were divided into two groups (exercised-E and control-C). Group E was submitted to a CV protocol (4 days), using linear (lin1 and lin2) and hyperbolic (hyp) mathematical models to determine the distance, velocity, and time to exhaustion (tlim) of each predictive CV trial, followed by an MLSS protocol. After a running effort until exhaustion at CV intensity, the mice were immediately euthanized, while group C was euthanized at rest. No differences were observed between iMLSS (21.1 ± 1.1 m.min−1) and CV estimated by lin1 (21.0 ± 0.9 m.min−1, p = 0.415), lin2 (21.3 ± 0.9 m.min−1, p = 0.209), and hyp (20.6 ± 0.9 m.min−1, p = 0.914). According to the results, CV was significantly correlated with iMLSS. After running until exhaustion at CV (tlim = 28.4 ± 8,29 min), group E showed lower concentrations of hepatic and gluteal glycogen than group C, but no difference in the content of MCT1 (p = 0.933) and MCT4 (p = 0.123) in soleus muscle. Significant correlations were not found between MCT1 and MCT4 and tlim at CV intensity. Our results reinforce that CV is a valid and non-invasive protocol to estimate the maximal aerobic capacity in mice and that the content of MCT1 and MCT4 was not decisive in determining the tlim at CV, at least when measured immediately after the running effort.
Article
Faricier, R, Fleitas-Paniagua, PR, Iannetta, D, Millet, GY, Keir, DA, and Murias, JM. Time spent near maximal oxygen uptake during exercise at different regions of the severe-intensity domain. J Strength Cond Res XX(X): 000-000, 2024-This study applied the critical power (CP) model and several bouts of constant-power exercise within different regions of the severe-intensity domain to determine whether there exists an optimal intensity to maximize time spent near V̇o2peak. Subjects visited the laboratory 9 times. After a ramp-incremental test to determine V̇o2peak and peak power output (POpeak), 9 active individuals (5 females) performed 4 constant-power bouts to task failure between 65 and 100%POpeak to estimate CP and total finite work above CP (W'). Subjects then completed 4 additional exhaustive trials predicted to result in task failure in ∼3, 6, 9, and 12 minutes. Time spent at V̇o2peak was calculated as the duration at which V̇o2 ≥ 95% of the trial-specific V̇o2peak. The level of significance set for the study was p < 0.05. Mean CP and W' were 201 ± 48 W and 17.6 ± 8.4 kJ, respectively. For each bout, time to task failure was 2.7 ± 0.5, 6.3 ± 0.6, 9.5 ± 1.2, and 13.1 ± 3.1 minutes for the 3-, 6-, 9-, and 12-minute conditions. Time spent at V̇o2peak during the 3-minute trial (45 ± 22 seconds) was shorter than during the 9-minute (204 ± 104 seconds; p = 0.002) and 12-minute trials (260 ± 155 seconds; p < 0.001). The 6-minute trial (117 ± 46 seconds) had shorter (p = 0.005) time spent at V̇o2peak compared with the 12-minute trial. At least when performing single bouts of exercise, intensities closer to CP (i.e., those sustainable for ∼9 minutes or longer) seem preferable compared with POs in the upper regions of the severe-intensity domain to maximize time at V̇o2peak.
Article
Physical performance in cycling is commonly evaluated with laboratory-based performance markers. However, these markers are not monitored on a regular basis, mainly due to the high costs of testing equipment, invasive sampling and time-intensive protocols. The use of mathematical modeling offers a promising alternative allowing for consistent performance monitoring, identification of influential variables affecting performance, and facilitation of planning, monitoring, and predictive analysis. Wearable technology, such as physiological and biomechanical sensors, can be integrated with mathematical models to enhance the practicality of performance monitoring and enable real-time feedback and personalized training recommendations. In this systematic review, we attempted to provide an overview of the developments in predicting and modeling of performance in cycling and their respective practical applications. The PRISMA framework yielded 52 studies that met the inclusion criteria. The models were discussed according to their modeling goal: characterizing kinetics, alternatives to the gold-standard, training control, observing training effects, predicting competitive performance and optimizing performance. Field-based models and technological advancements were highlighted as solutions to the limitations of gold-standard testing. Due to the lower accuracies of modeling techniques, the gold-standard laboratory-based methods of testing will not be replaced by mathematical models. However, models do form a more practical alternative for regular monitoring and a powerful tool for training and competition optimization. A modeling technique needs to be individualized to the goal and the person and be as simple as possible to allow regular monitoring. Ideally, the technique would work in the field, uses submaximal exercise intensities and integrates technological advancements such as wearable technology and machine learning to increase the practicality even more.
Article
Full-text available
Introduction The severe exercise intensity domain can be defined as the range of work rates or speeds over which VO2max can be elicited. Objectives: Our purpose was to determine if critical speed (running analog of critical power) identifies the lower boundary of the severe domain and to identify the upper boundary of the domain. Methods Twenty-five individuals performed five running tests to exhaustion, each lasting > 2.5 min and < 16 min. The two-parameter speed vs time-to-exhaustion relationship generated values for critical speed and the three-parameter speed vs time-to-reach-VO2max relationship generated values for the threshold speed above which VO2max can be elicited. The relationships were solved to calculate the minimum time needed to elicit VO2max. Results Critical speed (3.00 ± 0.38 m·s⁻¹) and the threshold speed above which VO2max can be elicited (2.99 ± 0.37 m·s⁻¹) were correlated (r = 0.83, p < 0.01) and did not differ (p = 0.70), confirming critical speed as the lower boundary of the severe domain. The minimum time needed to elicit VO2max (103 ± 7 s) and the associated highest speed at which VO2max can be elicited (4.98 ± 0.52 m·s⁻¹) identified the upper boundary of the severe domain for these participants. Conclusion The critical power concept, which requires no metabolic measurements, can be used to identify the lowest speed at which VO2max can be elicited. With addition of metabolic measurements, mathematical modeling can also identify the highest speed and shortest exercise duration at which VO2max can be elicited. Evidence Level I; Validating cohort study with good reference standards. Keywords: Exercise; Running; Maximal Voluntary Ventilation; Energy Metabolism
Article
Full-text available
Introduction The severe exercise intensity domain can be defined as the range of work rates or speeds over which VO2max can be elicited. Objectives: Our purpose was to determine if critical speed (running analog of critical power) identifies the lower boundary of the severe domain and to identify the upper boundary of the domain. Methods Twenty-five individuals performed five running tests to exhaustion, each lasting > 2.5 min and < 16 min. The two-parameter speed vs time-to-exhaustion relationship generated values for critical speed and the three-parameter speed vs time-to-reach-VO2max relationship generated values for the threshold speed above which VO2max can be elicited. The relationships were solved to calculate the minimum time needed to elicit VO2max. Results Critical speed (3.00 ± 0.38 m·s⁻¹) and the threshold speed above which VO2max can be elicited (2.99 ± 0.37 m·s⁻¹) were correlated (r = 0.83, p < 0.01) and did not differ (p = 0.70), confirming critical speed as the lower boundary of the severe domain. The minimum time needed to elicit VO2max (103 ± 7 s) and the associated highest speed at which VO2max can be elicited (4.98 ± 0.52 m·s⁻¹) identified the upper boundary of the severe domain for these participants. Conclusion The critical power concept, which requires no metabolic measurements, can be used to identify the lowest speed at which VO2max can be elicited. With addition of metabolic measurements, mathematical modeling can also identify the highest speed and shortest exercise duration at which VO2max can be elicited. Evidence Level I; Validating cohort study with good reference standards. Keywords: Exercise; Running; Maximal Voluntary Ventilation; Energy Metabolism
Article
Full-text available
For high-intensity muscular exercise, the time-to-exhaustion (t) increases as a predictable and hyperbolic function of decreasing power (P) or velocity (V). This relationship is highly conserved across diverse species and different modes of exercise and is well described by two parameters: the 'critical power' (CP or CV), which is the asymptote for power or velocity, and the curvature constant (W') of the relationship such that t = W'/(P-CP). CP represents the highest rate of energy transduction (oxidative ATP production, V? O2) that can be sustained without continuously drawing on the energy store W' (composed in part of anaerobic energy sources and expressed in kilojoules). The limit of tolerance (time t) occurs when W' is depleted. The CP concept constitutes a practical framework in which to explore mechanisms of fatigue and help resolve crucial questions regarding the plasticity of exercise performance and muscular systems physiology. This brief review presents the practical and theoretical foundations for the CP concept, explores rigorous alternative mathematical approaches, and highlights exciting new evidence regarding its mechanistic bases and its broad applicability to human athletic performance.
Article
Full-text available
The aim of this study was to examine the response of physiological parameters during exercise to exhaustion at Critical Power (CP). Eight male trained subjects performed a test to exhaustion on a cycle ergometer at a constant power corresponding to their previously determined CP. Mean CP value was 283.6±20W and corresponded to 85.4±4.8% of VO2 max. Time to exhaustion was 22.1±10.1min and was associated with a pattern in lactate concentration, redox state, ammonia concentration, minute ventilation, respiratory rate, heart rate. Likewise, a decrease of [HCO3-], PaCO2 and base excess was observed between the 10th min and the end of the test, associated with an acidosis which cannot be compensated. The rise in these parameters could lead to exhaustion and the inability to maintain the exercise intensity. VO2 did not change after the 10th min of the test but was higher than the level expected for this intensity, due to a VO2 slow component though VO2 max level was not attained. These results demonstrated that CP does not correspond to a sustainable and physiological steady state intensity.
Article
Full-text available
Physiological variables, such as maximum work rate or maximal oxygen uptake (V̇O2max), together with other submaximal metabolic inflection points (e.g. the lactate threshold [LT], the onset of blood lactate accumulation and the pulmonary ventilation threshold [VT]), are regularly quantified by sports scientists during an incremental exercise test to exhaustion. These variables have been shown to correlate with endurance performance, have been used to prescribe exercise training loads and are useful to monitor adaptation to training. However, an incremental exercise test can be modified in terms of starting and subsequent work rates, increments and duration of each stage. At the same time, the analysis of the blood lactate/ventilatory response to incremental exercise may vary due to the medium of blood analysed and the treatment (or mathematical modelling) of data following the test to model the metabolic inflection points. Modification of the stage duration during an incremental exercise test may influence the submaximal and maximal physiological variables. In particular, the peak power output is reduced in incremental exercise tests that have stages of longer duration. Furthermore, the VT or LT may also occur at higher absolute exercise work rate in incremental tests comprising shorter stages. These effects may influence the relationship of the variables to endurance performance or potentially influence the sensitivity of these results to endurance training. A difference in maximum work rate with modification of incremental exercise test design may change the validity of using these results for predicting performance, and prescribing or monitoring training. Sports scientists and coaches should consider these factors when conducting incremental exercise testing for the purposes of performance diagnostics.
Article
Full-text available
O principal objetivo deste estudo foi comparar a intensidade correspondente à máxima fase estável de lactato (MLSS) e a potência crítica (PC) durante o ciclismo em indivíduos bem treinados. Seis ciclistas do sexo masculino (25,5 ± 4,4 anos, 68,8 ± 3,0kg, 173,0 ± 4,0cm) realizaram em diferentes dias os seguintes testes: exercício incremental até a exaustão para a determinação do pico de consumo de oxigênio (VO2pico) e sua respectiva intensidade (IVO2pico); cinco a sete testes de carga constante para a determinação da MLSS e da PC; e um exercício até a exaustão na PC. A MLSS foi considerada com a maior intensidade de exercício onde a concentração de lactato não aumentou mais do que 1mM entre o 10º e o 30º min de exercício. Os valores individuais de potência (95, 100 e 110% IVO2pico) e seu respectivo tempo máximo de exercício (Tlim) foram ajustados a partir do modelo hiperbólico de dois parâmetros para a determinação da PC. Embora altamente correlacionadas (r = 0,99; p = 0,0001), a PC (313,5 ± 32,3W) foi significantemente maior do que a MLLS (287,0 ± 37,8W) (p = 0,0002). A diferença percentual da PC em relação à MLSS foi de 9,5 ± 3,1%. No exercício realizado na PC, embora tenha existido componente lento do VO2 (CL = 400,8 ± 267,0 ml.min-1), o VO2pico não foi alcançado (91,1 ± 3,3 %). Com base nesses resultados pode-se concluir que a PC e a MLSS identificam diferentes intensidades de exercício, mesmo em atletas com elevada aptidão aeróbia. Entretanto, o percentual da diferença entre a MLLS e PC (9%) indica que relação entre esses dois índices pode depender da aptidão aeróbia. Durante o exercício realizado até a exaustão na PC, o CL que é desenvolvido não permite que o VO2pico seja alcançado.
Article
Full-text available
Background: The RacerMate Inc. CompuTrainer is an increasingly popular ergometer in Sport Science laboratories, yet there is little information on the characteristics and validity of the CompuTrainer calibration procedure. Aim: To investigate the effect of a range of environmental temperatures on the CompuTrainer calibration procedure and validate the power output against an SRM powermeter. Methods: A bicycle fitted with an SRM Training System was attached to a CompuTrainer ergometer. The calibration procedure was repeated (up to 5 occasions) interspaced with 2min cycling at 200W and ∼90rpm. The cyclist then cycled for a further 2min at 200W for a direct comparison with the SRM training system. This process was repeated at seven different random calibration values at a range of environmental temperatures (15, 20, 28 and 38°C). Results: At all temperatures there was a large decline in calibration pressure after the first 2min of cycling, with no further decline after 6min of cycling. This decline was inversely correlated with the temperature (r2 = 0.7). In low temperatures (15° and 20°C) the CompuTrainer significantly underestimated SRM power by 7.3 ± 5.8 W (95%CI: 4.2-10.4W; Range 1-18W; p = 0.0002) but was similar (-0.3 ± 4.4W) in high temperatures (28° and 38°C) (95%CI: -2.7-2.0W; Range -9-5W; p = 0.78). Conclusions: Both temperature and calibration procedure were shown to affect power measurement and thus these authors have suggested an alternative procedure to enhance the reliability and validity of the CompuTrainer ergometer.
Article
The basis of the critical power concept is that there is a hyperbolic relationship between power output and the time that the power output can be sustained. The relationship can be described based on the results of a series of 3 to 7 or more timed all-out predicting trials. Theoretically, the power asymptote of the relationship, CP (critical power), can be sustained without fatigue; in fact, exhaustion occurs after about 30 to 60 minutes of exercise at CP. Nevertheless, CP is related to the fatigue threshold, the ventilatory and lactate thresholds, and maximum oxygen uptake (V̇O2max), and it provides a measure of aerobic fitness. The second parameter of the relationship, AWC (anaerobic work capacity), is related to work performed in a 30-second Wingate test, work in intermittent high-intensity exercise, and oxygen deficit, and it provides a measure of anaerobic capacity. The accuracy of the parameter estimates may be enhanced by careful selection of the power outputs for the predicting trials and by performing a greater number of trials. These parameters provide fitness measures which are mode-specific, combine energy production and mechanical efficiency in 1 variable, and do not require the use of expensive equipment or invasive procedures. However, the attractiveness of the critical power concept diminishes if too many predicting trials are required for generation of parameter estimates with a reasonable degree of accuracy.
Article
Objectifs L’objectif de cette étude est de comparer la puissance critique (PC) avec un exercice d’intensité mesurée au pourcentage de différence entre VO2 au seuil de lactate (ST) et VO2max (25, 50 et 75 %Δ) chez des cyclistes bien entraînés. Méthodes Après détermination de la VO2max et ST, 14 cyclistes mâles entraînés en endurance ont effectué trois épreuves d’effort à charge constante jusqu’à l’épuisement pour déterminer PC. Résultats VO2 (ml kg-1 min-1) à PC (59,9 ± 6,6) a été significativement supérieure à VO2 correspondant à 25 (50,4 ± 6,9) et 50 %Δ (55,3 ± 6,5). Il n’a pas été observé de différence significative entre VO2 à PC et VO2 correspondant à 75 %Δ (60,1 ± 6,2). Conclusions Les chercheurs ayant l’intention d’explorer les réponses des cyclistes bien entraînés dans le domaine des intensités élevées, doivent recourir à des exercices d’intensités supérieures à 75 %Δ.
Article
A new conception of dynamic or static muscular work tests is presented. The authors define the critical power of a muscular work from the notions of maximum work and maximum time of work. The work capacity is then considered in the case of dynamic work, and of continuous or intermittent static work. From the data presented it is possible to define the maximum amount of work that can be performed in a given time as well as the conditions of work performed without fatigue. (French & German summaries) (22 ref.) (PsycINFO Database Record (c) 2012 APA, all rights reserved)
<