ArticlePDF Available

Effect of work duration on physiological and rating scale of perceived exertion responses during self-paced interval training

Authors:

Abstract and Figures

This study compared running velocity, physiological responses, and perceived exertion during self-paced interval training bouts differing only in work bout duration. Twelve well-trained runners (nine males, three females, 28+/-5 years, VO2 max 65+/-6 mL min(-1) kg(-1)) performed preliminary testing followed by four "high-intensity" interval sessions (Latin squares, 1 session week(-1) over 4 weeks) consisting of 24 x 1, 12 x 2, 6 x 4, or 4 x 6-min running bouts with a 1:1 work-to-rest interval (total session duration 48 min). The average running velocity decreased (93%, 88%, 86%, 84% vVO2 max, P < 0.01) with increasing work duration. Peak VO2 averaged about 92+/-4% of VO2 max for 2-, 4-, and 6-min intervals compared with only 82+/-5% for 1-min bouts (P < 0.001). Six of 12 athletes achieved their highest average VO2 and heart rate during 4-min intervals. The average RPEpeak (rating scale of perceived exertion) was approximately 17+/-1 for all four interval sessions. RPE increased by 2-4 U during an interval training session. The mean lactate concentration was similar across sessions (4.3+/-1.1-4.6+/-1.5 mmol L(-1)). Under self-paced conditions, well-trained runners perform "high-intensity" intervals at an RPE of approximately 17, independent of interval duration. The optimal interval duration for eliciting a high physiological load is 3-5 min under these training conditions. Increases in RPE during an interval bout are not associated with increasing blood lactate concentration.
Content may be subject to copyright.
Effect of work duration on physiological and rating scale of
perceived exertion responses during self-paced interval training
Stephen Seiler, Jarl Espen Sjursen
Department of Health and Sport, Agder University College, Kristiansand, Norway
Corresponding author: Stephen Seiler, PhD, Department of Health and Sport, Institute for Sport, Agder University College,
Service Box 422, 4604 Kristiansand, Norway. Tel: (47) 3814 1347, Fax: (47) 3814 1301, E-mail: Stephen.Seiler@hia.no
Accepted for publication 5 August 2003
This study compared running velocity, physiological
responses, and perceived exertion during self-paced interval
training bouts differing only in work bout duration. Twelve
well-trained runners (nine males, three females, 2875years,
VO
2 max
6576 mL min
1
kg
1
) performed preliminary
testing followed by four ‘‘high-intensity’’ interval sessions
(Latin squares, 1 session week
1
over 4 weeks) consisting
of 24 1, 12 2, 6 4, or 4 6-min running bouts with a
1:1 work-to-rest interval (total session duration 48 min).
The average running velocity decreased (93%, 88%, 86%,
84% vVO
2 max
,Po0.01) with increasing work duration.
Peak VO
2
averaged about 9274% of VO
2 max
for 2-, 4-,
and 6-min intervals compared with only 8275% for 1-min
bouts (Po0.001). Six of 12 athletes achieved their highest
average VO
2
and heart rate during 4-min intervals. The
average RPE
peak
(rating scale of perceived exertion) was
B1771 for all four interval sessions. RPE increased by
2–4 U during an interval training session. The mean lactate
concentration was similar across sessions (4.371.1–4.67
1.5 mmol L
1
). Under self-paced conditions, well-trained
runners perform ‘‘high-intensity’’ intervals at an RPE of
B17, independent of interval duration. The optimal
interval duration for eliciting a high physiological load is
3–5 min under these training conditions. Increases in RPE
during an interval bout are not associated with increasing
blood lactate concentration.
The assumed advantage of interval training, organiz-
ing exercise as intermittent bouts of higher and lower
intensity rather than one continuous bout, is the
accumulation of a greater training stimulus at high
exercise intensities (A
˚strand et al., 1960; Christensen
et al., 1960). Interval training has come to encompass
a broad array of training prescriptions. However,
for a given exercise modality, any interval training
prescription consists of five variables: (1) work inter-
val duration and (2) intensity, (3) recovery interval
duration and (4) intensity, and (5) total work
duration (interval number interval duration).
These variables can be manipulated to generate a
potentially endless number of specific interval train-
ing session prescriptions (Thibault & Marion, 1999).
Aerobic interval training for the purpose of enhancing
maximal aerobic capacity and endurance perfor-
mance typically involves a work interval duration
ranging from B1 to 8 min and a rest interval varying
from 30 s to 5 min (Fox et al., 1975). A work-to-
rest interval between 2:1 and 1:2 is common,
although work-to-rest ratios of up to 5:1 are used.
The prescribed exercise intensity for intervals in this
range is generally 85–105% of maximal aerobic
power (Thibault & Marion, 1999).
Little empirical data is available quantifying how
variation in the variables of the interval training
prescription impacts the athlete’s training response,
the achieved intensity, physiological responses, and
perceived exertion elicited. Published data quantify-
ing acute physiological responses associated with
different aerobic interval training conditions are
limited and almost entirely based on the measurement
of physiological responses to fixed work intensities
at a predefined percentage of maximal aerobic power
or velocity (Patterson et al., 1997; Billat et al., 1999,
2000a, b; Demarie et al., 2000; Stepto et al., 2001).
In the normal training setting, precise external
control of intensity is unusual. In many sports, work
intensity is not a constant function of velocity due
to variable terrain, wind, water conditions, snow
conditions, etc. Coaches or athletes typically pre-
scribe interval training sessions using manipulation
of interval duration (distance or time), rest duration,
and number of work bouts. The actual exercise
intensity achieved can be defined as a dependent
variable constrained by several independent vari-
ables: goal intensity, work duration, recovery time,
total volume of work, and the perception of exertion
and response to that perception. The purpose of
this study was therefore to quantify how work
interval duration impacts physiological responses
and perceived exertion during training sessions
where well-trained endurance athletes are uniformly
Scand J Med Sci Sports 2004: 14: 318–325 COPYRIGHT &BLACKWELL MUNKSGAARD 2004
Printed in Denmark .All rights reserved
DOI: 10.1046/j.1600-0838.2003.00353.x
318
instructed to perform a ‘‘high-intensity interval
session’’.
Methods
Subjects and preliminary testing
Twelve athletes from a local running club (nine males, three
females) volunteered to participate in this investigation, which
was approved by the human subjects research review board of
the Department of Health and Sport, Agder University
College. Criteria for participation in the study were: (1)
regular training, (2) competition in running races, and (3)
regular use of interval type training sessions. Participants were
informed of the risks associated with the study and their
choice to terminate participation at any time. They had
been training for running events, either track and field
or orienteering, for Z4 years, and averaged two interval-
type training sessions per week out of an average of 5.4 total
training sessions per week (range 4–9) in their current
training. All subjects were comfortable running at high speeds
on a motorized treadmill. Throughout the study, subjects
maintained their pre-study volume of training.
Initially, a continuous ramp protocol run to exhaustion was
performed to quantify ventilatory thresholds (VT
1
and VT
2
),
maximal heart rate (HR
max
), maximal oxygen consumption
(VO
2 max
), running velocity at maximal oxygen consumption
(vVO
2 max
), and peak blood lactate concentration ([La
peak
]).
The maximal treadmill test was repeated following the data
collection period to control for possible significant changes in
physiological capacity. Both testing and subsequent interval
training bouts were performed on a motorized treadmill
(Woodway P55 Sport, Weil am Rhein, Germany) at 1%
elevation (Jones & Doust, 1996). After a 20–30-min warm-
up, the maximal treadmill test was initiated with a 2-min run
at 9 km h
1
(150 m min
1
) with subsequent increases of
0.4 km h
1
(6.7 m min
1
) every 30s until voluntary exhaustion.
Gas exchange measurements
Expired gas samples were measured continuously using a
Cortex Metamax gas analyser (Cortex Biophysik GmbH,
Liepzig, Germany) and a Triple-V turbine (Sensormedics BV,
Bilthoven, The Netherlands). Mixing chamber derived gas
exchange data were averaged over 10-s time intervals.
Calibration was performed prior to each test according to
the manufacturer’s instructions. This system has been
previously shown to be valid, and highly stable over up to
120 min of continuous measurement (Schulz et al., 1997). HR
responses were collected every 15 s using a telemetry system
(Polar Electro, Kempele, Finland). VO
2 max
was defined as the
highest 30-s average measurement recorded during the ramp
test. The running velocity at maximal oxygen consumption
(vVO
2 max
) was defined as the lowest treadmill velocity
corresponding to the 30-s period defining VO
2 max
.VT
1
was
defined as an increase in V
E
/VO
2
without an increase in V
E
/
VCO
2
.VT
2
was defined as the point where V
E
/VCO
2
also
started to rise.
Blood lactate measurements
At 1 and 3 min after voluntary exhaustion during the maximal
treadmill test, venous blood was sampled via finger stick to
identify peak lactate concentration. In all subjects, lactate
values at 3 min were equal to or already below the 1-min
values. Twenty microlitres capillary blood samples were
immediately analysed for whole, non-haemolysed blood
lactate concentration using a YSI 1500 Sport lactate analyser
calibrated with reference standards before and after each test.
Values were subsequently corrected for the B20% of total
blood lactate trapped in red blood cells using a multiplication
factor of 1.25 (Medbet al., 2000).
Interval training bouts
During the 4 consecutive weeks following preliminary testing,
each athlete replaced one regularly scheduled hard training
session with an interval bout performed in the laboratory. The
four interval workouts varied in interval duration: 1-, 2-, 4-, or
6-min work periods. The work-to-rest ratio was fixed at 1:1
and the total work at 24 min for each session (i.e., 24 1,
12 2, 6 4, and 4 6 min). The order of interval bout
exposure was randomized using a Latin squares design. Each
subject performed the four interval sessions at the same time
of day each week. Subjects were instructed to treat each
weekly training session as a ‘‘high-intensity interval session’’.
They were also instructed to attempt to maintain the highest
average running velocity they could across all the work bouts
of each interval session.
The end of the 20–30-min warm-up was used to determine
the starting velocity for the first interval. Thereafter, the
treadmill velocity could be increased or decreased at any time
via a hand signal to the test administrator controlling the
treadmill via PC. At regular, frequent intervals during each
work bout, subjects were verbally encouraged and asked
whether they desired ‘‘more or less speed’’. Between work
bouts, subjects were also free to select their own recovery
intensity. About 15 s prior to each new work bout, subjects
straddled the treadmill belt as it was accelerated up to the
athlete’s desired starting velocity, using the velocity of the
previous interval as a reference. At the conclusion of a
running bout, athletes held the handrails and hopped to the
sides of the treadmill surface as the velocity was rapidly
reduced. They were then free to choose their activity intensity
during the recovery period. Two small, motorized fans,
positioned at each side and chest high, were used to ensure
effective evaporative cooling. The laboratory temperature
during the training sessions was 18–21 1C. Treadmill calibra-
tion demonstrated that treadmill velocity was highly accurate
over a broad range of velocities.
Physiological measurements during interval training
Running velocity, gas exchange data, and heart rate were
collected continuously during each interval training session.
The total workout duration varied slightly (42–47 min) across
the four conditions, since the last time period was a rest
interval of varying length. Two blood samples were collected
during each interval training session: 60 s after the 12th
minute of interval training, and 60 s after the completion of
the last work interval.
Perceived exertion measurements
The 15-point Borg rating scale of perceived exertion (RPE)
(Borg, 1970) was used to quantify global perceived exertion
during each interval session. Subjects were provided with
standard, written instructions translated into Norwegian.
RPE was determined during the final 10 s of every other
Responses to self-paced interval training
319
interval bout for the 1- and 2-min interval sessions and each of
the 4- and 6-min interval bouts.
Training control
This study was carried out during the early pre-competition
preparation phase of training (February–early March).
Training control was confirmed via a training diary. Subjects
were instructed to abstain from hard training the day prior to
laboratory sessions. No special attempt was made to control
the diet of the athletes; they were merely reminded to come to
the training session well hydrated and non-fasted.
Statistical analyses
Physiological and RPE responses during the four different
interval sessions were compared using the General Linear
Model with a repeated measures design (SPSS 10.0, Chicago,
Illinois, USA). An alevel of 0.05, after Bonferroni adjustment
to control for the increased risk of Type I error associated
with multiple comparisons, was considered to be statistical-
ly significant. Where appropriate, pairwise comparisons of
physiological data were made using the paired samples t-test
with the alevel set at 0.05.
Results
Maximal treadmill testing
Subject characteristics and results from preliminary
testing are presented in Table 1. The average VO
2max
of the three females in the study was 60 and
67 mL
min
1
kg
1
among the nine males, suggest-
ing that the males and females were of similar
relative capacity. The combination of VO
2max
,
ventilatory threshold determinations, and self-report
of current training confirmed that the subjects were
all representative of a regularly training, non-elite
athlete population. The intermittent treadmill test to
exhaustion was repeated following the period of
interval training data collection, which lasted 4–5 weeks.
The treadmill distance at exhaustion (34567441 vs.
36317543 m) improved by 5% (Po0.001) in the
follow-up test. HR
max
also declined significantly
(190710 vs. 187710 beats min
1
(bpm), Po0,05).
However, VO
2max
(65.375 vs. 65.676 mL min
1
kg
1
), ventilatory thresholds, and [La
]
peak
(8.472 vs. 8.672 mmol L
1
) did not change sig-
nificantly over the course of the study. The relative
intensity of the interval training sessions was there-
fore calculated based on the results of the prelimin-
ary treadmill test.
Physiological responses during interval sessions
Running velocity
Figure 1 depicts the average running velocity for
each intermittent bout of all four interval sessions.
An inspection of the individual data showed that
three of the 12 athletes underestimated their sustain-
able velocity during the initial bouts and increased
during the following bouts (as much as 12%), while
the remainder appeared to target their average
velocity more accurately from the start. When the
average velocity of the first 4 min and the last 4 min
of each session were compared, the upward adjust-
ment in velocity averaged 5%, 4%, 4%, and 1.5%
for 1-, 2-, 4-, and 6-min work durations, respectively,
and was statistically significant for the 1-, 2-, and 4-min
interval sessions (Po0.005). Figure 1 also reveals
that the average running velocity declined with
each increase in work bout duration, from 9372%
vVO
2max
for the 24 1-min interval session to
8372.5% during the 4 6-min interval session
(Po0.005 for each duration comparison). Expressed
as a percentage of the velocity corresponding to the
second ventilatory threshold (vVT
2
), the interval
sessions were performed at 11377%, 10775%,
10576%, and 10274% of vVT
2
for the 1-, 2-, 4-,
and 6-min work durations, respectively.
VO
2
and heart rate responses
When athletes self-selected their running velocity, the
peak oxygen consumption (92–93% of VO
2max
) and
oxygen consumption during recovery (26–31%
VO
2max
) were not statistically different for work
durations of 2, 4, or 6 min (Table 2). Individual
responses to the four training prescriptions are
presented in Fig. 2. Six of 12 subjects achieved their
highest oxygen consumption when performing 4-min
work intervals. Peak VO
2
during 1-min intervals was
significantly lower (8275% VO
2max
vs. 92–93%
VO
2max
for 2-, 4-, and 6-min intervals Po0.001),
and recovery oxygen consumption significantly higher
(4675% VO
2max
vs. 26–31%, Po0.001) compared
with the 2-, 4-, and 6-min work interval duration
sessions. However, the average oxygen consumption
Table 1. Characteristics of the subjects (
N
512, nine males, three females)
Age (years)
Height (cm)
Weight (kg)
VO
2 max
(ml kg
1
min
1
)
HF
max
(beats min
1
)
VT
1
(%VO
2 max
)
VT
2
(%VO
2 max
)
n
VO
2 max
(km h
1
)
2875 176786576 190710 68768474 19.771
68710
N
512 values are presented as mean7SD. The velocity at VO
2 max
was determined at a constant incline of 1%.
Seiler and Sjursen
320
for the entire session (even numbers of work and rest
periods) was virtually identical for all four condi-
tions (59.4–61.4% VO
2max
). Separate repeated mea-
sures analyses were performed to examine whether a
testing order effect on exercise intensity was present.
Whether measured as peak HR or peak VO
2
, the
order of testing did not significantly influence self-
selected exercise intensity.
Figure 3 displays the averaged heart rate responses
throughout the four interval training sessions. The
peak heart rate (Fig. 4) was slightly but significantly
lower during the 1-min interval, compared with the
4- and 6-min intervals (92% for 1-min intervals vs.
95% of HR
max
for both 4- and 6-min intervals,
Po0.005). Peak heart rate responses during the 2-
min intervals were only significantly different from
the 4-min interval responses (P50.05). Overall, the
differences in peak heart rate responses between the
1-min intervals and the longer interval durations
were smaller than the differences in peak oxygen
consumption.
Blood lactate concentration
Blood lactate concentration, measured immediately
after the 12th and 24th minute of interval running
during each interval session, was similar across
interval duration and approximated 4.5 mM (Fig.
5). Blood lactate concentration tended to rise slightly
from midway to the end of the interval sessions
under all conditions. However, this increase was
only statistically significant during 1-min intervals
(5.071.4 vs. 3.971.1 mM, P50.02).
Ratings of perceived exertion
RPE increased steadily throughout an interval
session (Fig. 6) under all work duration conditions.
The increasing perception of exertion during the
interval sessions was well fit by a linear regression
line (RPE 514.570.11 (accumulated work dura-
tion in minutes)). RPE tended to be lower at the end
of the initial 1-min bouts compared with the 4- and
6-min interval bouts, consistent with the greater
degree of velocity adjustment observed for the
shortest interval duration. However, peak RPE was
virtually identical under all four work-duration
conditions (ranging from 16.871 to 17.271).
Discussion
The key finding of this study is that when prescribed
interval training sessions vary in work period
duration from 1 to 6 min, athletes adjust their
intensity such that blood lactate and perceived
exertion responses throughout each session are
essentially identical. To our knowledge, this study
is unique in that subjects self-selected their exercise
intensity throughout each session in response to a
standardized work prescription, conditions that are
similar to how endurance athletes normally train.
240
250
260
270
280
290
300
310
1
3
5
7
9
11
13
15
17
19
21
23
25
Velocity (m min-1)
Accumulated work duration (min)
1 min
2 min
4 min
6 min
(a)
(b)
(c)
Fig. 1. Mean velocity (m min
1
) for each work bout
performed during 1-, 2-, 4-, and 6-min work duration
interval sessions. Error bars are omitted for clarity. The
mean running velocity was significantly different for each
work duration condition. (a, b, c): The initial running
velocity was significantly lower than subsequent running
bouts (48 min accumulated work duration, Po0.05).
Table 2. Oxygen consumption responses to four interval bouts differing
in work duration
Work bout
(and recovery)
duration (min)
Peak VO
2
(%VO
2 max
)
VO
2
at end of
recovery
periods
(%VO
2 max
)
Average VO
2
for entire
session
(%VO
2 max
)
1 81.875.2
n
46.073.4
n
61.373.9
2 92.474.4 27.575.3 60.774.7
4 93.374.8 25.678.1 59.474.2
6 91.773.0 30.6711.6 61.473.3
Values 5mean7SD.
n
P
o0.01 vs. 2-, 4-, and 6-min work duration trials.
60
65
70
75
80
85
90
95
100
105
1 min 2 min 4 min 6 min
Interval work duration
Percent VO2 max
Fig. 2. Individual peak VO
2
during interval sessions with 1-,
2-, 4-, or 6-min work duration. The bold line indicates the
averaged peak VO
2
response under each condition.
Responses to self-paced interval training
321
The results also suggest that under self-paced
conditions with a typical 1:1 work-to-rest ratio, peak
physiological responses are very similar for interval
durations between 2 and 6 min and significantly
higher than those obtained during an equal duration
of work performed as 1-min work intervals.
A work duration of 4 min appears to approximate
an optimal duration for achieving peak cardiovas-
cular responses under self-paced conditions. Six of
12 athletes achieved their highest oxygen consump-
tion during 4-min work intervals. Our findings are
interesting in the light of those of Stepto et al. (1999),
who compared the cycling performance enhancing
effects of five different interval training programmes
built around work bouts of 0.5-, 1-, 2-, 4-, or 8-min
duration. Power output was controlled for the
85
95
105
115
125
135
145
155
165
175
185
Heart Rate
85
95
105
115
125
135
145
155
165
175
185
Heart Rate
85
95
105
115
125
135
145
155
165
175
185
Heart Rate
85
95
105
115
125
135
145
155
165
175
185
0
12
24
36
48
Heart Rate
Accumulated duration (min)
a
b
c
d
Fig. 3. Mean heart rate responses during (a) 1-, (b) 2-, (c) 4-,
and (d) 6-min work bout duration conditions. Data presented
are based on results from 10 of 12 subjects because continuous
telemetry recordings were partially lost for two subjects.
86
88
90
92
94
96
98
100
1 min 2 min 4 min 6 min
Percent HFpeak
**
Interval Duration
Fig. 4. Group means (7SD) for peak heart rate (% HF
peak) during 1-, 2-, 4-, and 6-min work bout duration
sessions.
*
Po0.05 vs. 4- and 6-min conditions.
**
P50.05 vs.
4-min condition.
0
1
2
3
4
5
6
7
1 min 2 min 4 min 6 min
Interval Duration
[Blood Lactate] mmol l-1
MID
END
*
Fig. 5. Group means (7SD) for blood lactate measure-
ments performed after 12 min (MID, open bars) and after
24 min (END, solid bars) of accumulated work duration
under the four different interval training conditions.
*
Po0.05 vs. END.
Seiler and Sjursen
322
different interval training groups, and equal to 175%,
100%, 90%, 85%, and 80% of peak power output,
respectively. Both peak sustained power output and
40-km time trial performance were improved most in
the group of cyclists performing 4-min work bouts at
85% of PPO.
Another important aspect of the interval training
description is the intensity of work during recovery
periods. This intensity typically ranges from com-
plete rest up to 50% of VO
2max
(Billat et al., 2000a).
The intensity of work during rest can be expected to
influence the rate of recovery of phosphocreatine, the
rate of lactate elimination, and the oxygen kinetics at
the onset of the next exercise bout. What strategy do
athletes actually choose when prescribed a specific
interval training task? In this study, the athletes
appeared to choose recovery intensity sufficient to
maintain oxygen consumption at 20–35% VO
2 max.
This intensity range is somewhat lower than that
found to be optimal for lactate elimination after
high-intensity work (McLellan & Skinner, 1982) and
also lower than the B50% VO
2max
, which has been
suggested as optimal for achieving and maintaining
the highest possible oxygen consumption levels
during the work periods (Billat et al., 2000b). One-
minute intervals actually resulted in lower VO
2
during the work portion and higher VO
2
during
recovery, such that the ‘‘interval training’’ effect was
truncated. In contrast, 4-min interval bouts were
associated with the highest VO
2
during work and the
lowest VO
2
during recovery (Table 2), although these
differences were not statistically significant when
compared with the 2- and 6-min work duration
conditions. Very little research has been reported on
the impact of recovery duration and/or recovery
work intensity on the overall intensity maintained
during interval training bouts. This is currently a
topic of investigation in our laboratory.
As expected, heart rate responses tracked well with
oxygen consumption curves. The peak heart rate was
similar for the 4- and 6-min work bouts, equalling
95% of maximal heart rate. However, the difference
in peak heart rate response (B91% HR
max
vs. 95%
HR
max
) was smaller than the difference in peak
oxygen consumption (82% vs. 93% VO
2max
). In a
training setting, heart rate may give a somewhat
misleading picture of the relative oxygen consump-
tion achieved during short intervals. One explana-
tion for this discordance is the break from linearity
in the heart rate-intensity relationship occurring
around the second ventilatory threshold (Hoffmann
et al., 1994, 1997). During preliminary testing, a clear
negative heart rate inflection point was identified for
10 of the 12 athletes. This would result in a lower
HR/VO
2
ratio at intensities above the inflection
point.
The peak heart rate during each work bout
increased over the course of an interval session. If
we ignore the first interval bout that was often
followed by velocity adjustments, peak heart rate
drifted upwards B5 bpm over the course of an
interval session. More striking however was the
increase in end-recovery heart rate, or ‘‘recovery
heart-rate drift’’ in an interval training context,
observed over the course of the sessions (Fig. 2).
Using the 2-min interval bouts as an example, we
observed a B25 bpm increase in end- recovery heart
rate from the end of the first work bout to the end of
the next to last work bout. At the same time, end-
recovery oxygen consumption remained stable (mean
of first three bouts 1.1770.34 L min
1
vs. mean of
last three bouts 1.1970.34 L min
1
). The increase in
end-recovery heart rate was greatest for the 1- and
2-min intervals, suggesting that primarily the fast
phase of heart rate recovery was slowed over the
course of the training session. Peak VO
2
, recovery
VO
2
, and blood lactate concentration were stable
over most of the session, suggesting attainment of a
quasi-steady-state in and around the active muscle.
This suggests that the fast phase of heart rate
recovery is largely controlled by central mechanisms.
If this is the case (see e.g., Savin et al., 1982), then
using heart rate recovery as a guide for determining
when to begin subsequent interval bouts would
appear to have little direct connection to recovery
processes at the muscular level.
Blood lactate responses were surprisingly constant
for the four different interval training sessions. In
isolation, the similarity in blood lactate responses
suggests a similar overall contribution of anaerobic
13
14
15
16
17
18
04812162024
RPE
1 min
2 min
4 min
6 min
Accumulated interval duration (min)
Fig. 6. Group means for rating scale of perceived exertion
(RPE) recorded throughout the four different interval
training sessions. Error bars are omitted for clarity. SD
averaged B0.8 RPE units for all four conditions. RPE
changes over time were well fit by a linear regression equa-
tion: RPE 514.510.11 accumulated work duration (min).
Responses to self-paced interval training
323
metabolism across the four different conditions,
since averaged blood concentrations measured under
the four work-duration conditions were not signifi-
cantly different (4.2–4.5 mM). The data also suggest
a diminishing reliance on lactate metabolism over the
course of a given interval session, since blood lactate
measurements changed little from midway to the end
of the interval training sessions (Fig. 5).
The observation that most of the increase in blood
lactate concentration occurs after the initial bouts of
intermittent exercise is not novel. Stepto and collea-
gues measured physiological responses to repeat 5-
min cycling bouts at 82.5% of the maximal aerobic
power separated by 1-min recovery periods. In that
study, blood lactate concentration increased to
4.7 mM after the first bout and remained between 5
and 6 mM over the remaining seven bouts of
exercise. Oxygen consumption was 5–7% lower in
that initial bout compared with the third, fifth, and
seventh bouts (only these were reported), suggesting
that the initially greater oxygen deficit accounts for
the early rise in blood lactate, and that subsequent
work was performed with a closer balance between
lactate production and elimination, in part due to
reduced reliance on glycolytic metabolism (Stepto
et al., 2001). In the present study, we also observed
nearly constant blood lactate concentration from the
middle of the session to the end, suggesting that
lactate production and elimination were in balance
despite running velocities averaging 102–113% of
vVT
2
. This interpretation is made with caution,
however. The concentration of a substance in a fluid
compartment is by definition the amount of sub-
stance divided by the fluid volume in the compart-
ment being measured. Direct comparisons of blood
lactate concentrations at the beginning, middle, and
end of an interval session are complicated by the fact
that the distribution volume for lactate will progres-
sively increase over a period of 20–40 min, since
lactate ions distribute slowly in the extracellular
space (Medb& Toska, 2001). Over the course of a
short, intense interval training workout, blood
lactate concentration could theoretically stabilize
despite a continued mismatch between production
and elimination.
Perhaps the most common measure of exercise
intensity in the normal endurance training setting
remains perception of effort. Across a spectrum of
endurance sports, the power output for a given
velocity changes with weather, wind, hill elevation,
snow conditions, etc. The heart rate at a given
intensity drifts over time, changes with different
environmental conditions, and lags behind during
short high-intensity exercise such as interval training.
Therefore, the athlete’s perception of effort remains a
critical tool for matching their actual work intensity
with session goals. Our results suggest that over a
range of interval training prescriptions, endurance
athletes are able to calibrate their exercise intensity
accurately so that perceived exertion is held con-
stant. We found that at an average lactate of about
4.5 mM, peak RPE was B17 across all four interval
conditions. Our data are consistent with those of
Seip et al. (1991), who reported an average RPE of
16.5 in trained runners running at a fixed blood
lactate concentration of 4.0 mM. There are few data
available describing RPE responses during interval-
type training sessions. Among our subjects, the
perception of effort increased linearly with time over
the course of all four interval training sessions
(Fig. 5). This was true even when running velocity,
ventilation, and blood lactate remained constant. It
appears reasonable to recommend that a typical
high-intensity ‘‘aerobic’’ interval session should feel
‘‘hard’’ (RPE 15–16) initially, and will be perceived
as ‘‘very hard’’ (RPE 17–18) by the end of the
workout.
Perspectives
In recent years, research has increasingly focused on
the physiological responses to intermittent exercise.
However, to our knowledge, this study is the first to
compare the physiological and perceptual responses
of athletes during different high-intensity aerobic
interval training prescriptions under the free-range
conditions typical of endurance training. We con-
clude that within a reasonable range of prescriptions
typical of ‘‘aerobic’’ interval training, trained en-
durance athletes automatically manipulate work
intensity appropriately to maintain similar levels of
peak exertion (an RPE of about 17) and blood
lactate. Blood lactate measurements suggest that a
quasi-steady-state is achieved, while RPE climbs
linearly at a rate that suggests an appropriate upper
limit for total work bout duration of B30 min. Four
minutes may represent a median optimal work
duration for eliciting a high cardiovascular stress to
self-paced VO
2max
intervals when the work-to-rest
ratio is 1:1. Future studies aim to investigate the
physiological and perceptual impact of manipulating
the recovery duration component of the interval
training prescription.
Key words: endurance, athletes, intermittent exercise,
heart rate, maximal oxygen consumption, perceived
exertion.
Seiler and Sjursen
324
References
A
˚strand I, A
˚strand PO, Christensen EH,
Hedman R. Intermittent muscular work.
Acta Physiol Scand 1960: 48: 448–453.
Billat V, Blondel N, Berthoin N.
Determination of the velocity
associated with the longest time to
exhaustion at maximal oxygen uptake.
Eur J Appl Physiol 1999: 80: 159–161.
Billat VL, Bocquet V, Slawinski J, Laffite
L, Demarle A, Chassaing P,
Koralsztein JP. Effect of a prior
intermittent run at vVO
2 max
on oxygen
kinetics during an all-out severe run in
humans. J Sports Med Phys Fitness
2000a: 4: 185–194.
Billat VL, Slawinski J, Bocquet V,
Demarle A, Lafitte L, Chassaing P,
Koralsztein JP. Intermittent runs at the
velocity associated with maximal
oxygen uptake enables subjects to
remain at maximal oxygen uptake for
a longer time than intense but
submaximal runs. Eur J Appl Physiol
2000b: 81: 188–196.
Borg G. Perceived exertion as an indicator
of somatic stress. Scand J Rehab Med
1970: 2(2–3): 92–98.
Christensen EH, Hedman R, Saltin B.
Intermittent and continuous running.
Acta Physiol Scand 1960: 50: 269–286.
Demarie S, Koralsztein JP, Billat V. Time
limit and time at VO
2 max
during a
continuous and an intermittent run.
J Sports Med Phys Fitness 2000: 40:
96–102.
Fox EL, Bartels RL, Billings CE, O’Brien
R, Bason R, Matthews DK. Frequency
and duration of interval training and
changes in aerobic power. J Appl
Physiol 1975: 38: 481–484.
Hoffmann P, Pokan R, Von Duvillard SP,
Seibert FJ, Zweiker R, Schmid P. Heart
rate performance curve during
incremental cycle ergometer exercise in
healthy young male subjects. Med Sci
Sports Exerc 1997: 29: 762–768.
Hoffmann P, Rokan R, Preidler K,
Leitner H, Szolar D, Eber B,
Schwaberger G. Relationship between
heart rate threshold, lactate turn point
and myocardial function. Int J Sports
Med 1994: 15: 232–237.
Jones AM, Doust JH. A 1% treadmill
grade most accurately reflects the
energy cost of outdoor running.
J Sports Sci 1996: 321–327.
McLellan TM, Skinner JS. Blood lactate
removal during active recovery related
to anaerobic threshold. Int J Sports
Med 1982: 3: 224–231.
MedbJI, Hanem S, Noddeland H,
Jebens E. Arterio-venous differences of
blood acid–base status and plasma
sodium caused by intense bicycling.
Acta Physiol Scand 2000: 168: 311–326.
MedbJI, Toska K. Lactate release,
concentration in blood, and apparent
distribution volume after intense
bicycling. Jpn J Physiol 2001: 51:
303–312.
Patterson CRM, Leary JP, Wenger HA.
Effect of different exercise intervals and
work:recovery ratios on oxygen uptake.
Sports Med Training Rehab 1997: 7:
185–192.
Savin WM, Davidson DM, Haskell WL.
Autonomic contribution to heart rate
recovery from exercise in humans.
J Appl Physiol 1982: 6: 1572–1575.
Schulz H, Helle S, Heck H. The validity of
the telemetric system Cortex X1 in the
ventilatory and gas exchange
measurement of exercise. Int J Sports
Med 1997: 18: 1–4.
Seip RL, Snead D, Pierce EF, Stein P,
Weltman A. Perceptual responses and
blood lactate concentration: effect of
training state. Med Sci Sports Exerc
1991: 23: 80–87.
Stepto NK, Hawley JA, Dennis SC,
Hopkins WG. Effects of different
interval training programs on cycling
time-trial performance. Med Sci Sports
Exerc 1999: 31: 736–741.
Stepto NK, Martin DT, Fallon KE,
Hawley JA. Metabolic demands of
intense aerobic interval training in
competitive cyclists. Med Sci Sports
Exerc 2001: 33: 303–310.
Thibault G, Marion A. Interval training-a
practical model. Coaches Rep 1999: 6:
16–20.
Responses to self-paced interval training
325
... In bouts 2, 4, 6, 8, and 10, BLa was measured at the beginning (10-sec) and end (50-sec) of PR, while HR was measured at the beginning of PR. As HR at the end of PR was not measured, it was estimated as 80% of the HR measured at 10-seconds of PR, as reported previously (34,38) and subsequently confirmed in study 2. ...
... Previous studies in endurance athletes have shown that BLa concentrations can reach moderate (~5-6 mmol/L) or high (~10-11 mmol/L) levels during long intervals (≥1-min recovery) for periods of time ranging between ~20 to 50 minutes (11,34,38). Moreover, in young swimmers BLa levels of ~5-6 (40) and ~8-9 mmol/L (1) have been reported during IT of ≤30-min at a stable speed with short recovery periods (≤40-sec). ...
... Even though it could be assumed that BLa steady International Journal of Exercise Science http://www.intjexersci.com 948 state levels were reached in the former studies, they either measured BLa immediately after one interval (11,38,40) or at the middle and/or end of the interval exercise protocol (1,34), leaving uncertainty on whether BLa can be sustained during the recovery periods and throughout the entire IT session. Prior evidence has shown that a 2-min recovery period after each interval optimize high-intensity long length IT performance (33). ...
Article
Full-text available
The purpose of this study was to confirm that blood lactate concentrations can be maintained at moderate to high steady state values during an entire interval training (IT) session (repetitions + rest). Forty-eight trained swimmers and track athletes performed four IT protocols consisting of 6-10 bouts between 1 and 3-min at ~5-10 mmol/L blood lactate concentrations with a passive recovery of 60 to 180-sec. Performance times were measured at every bout, while blood lactate concentrations and heart rate during recovery every other bout. One-way ANOVA was performed for comparisons and r-squared for the effect size (ES). Performance times were stable throughout each IT protocol (75 ± 8 and 77 ± 5-sec [swimmers and track athletes]; 67 ± 3-sec [swimmers]; 64 ± 3-sec [swimmers]; and 135 ± 6-sec [swimmers]). Despite some minor differences (p<0.05; ES, 0.28 to 0.37, large), blood lactate concentrations were maintained stable at moderate to high values during each IT protocol (5.85 ± 1.47 mmol/L; 5.64 ± 1.03 mmol/L; 9.29 ± 1.07 mmol/L; and 9.44 ± 1.12 mmol/L). HR decreased significantly from the beginning to the end of recovery (p<0.05; ES, 0.93 to 0.96, large). In conclusion, moderate to high blood lactate steady state concentrations can be sustained for ~20 to 60-min during an entire IT session (repetitions + rest) at a stable performance. This approach can optimize performance by stimulating the metabolic demands and the pace strategy during the middle section of endurance competitive events.
... When athletes are motivated to make the prescribed HIIT session a hard to near maximal effort, it can be compared to solving a simple algebraic expression with several "knowns" (i.e., prescribed work bout duration, recovery bout duration, and total work duration), and one "unknown". The remaining dependent variable in the HIIT equation that athletes "solve for" is their average power or pace for the prescribed work bouts (Seiler and Sjursen 2004). This physiological algebra also applies to the highly stochastically paced races that are increasingly typical of many endurance disciplines (now often performed on viewer friendly courses with lots of tight turns and short climbs and descents). ...
... We have also observed very similar physiological and perceptual responses for AWD equivalent prescriptions of 12 bouts × 2 min, 6 × 4 min, and 4 × 6 min even when work: recovery ratio was 1:1 for each prescription (Seiler and Sjursen 2004). It is worth noting that repeated blocks of "microintervals", such as 3 × 10 × 40 s:20 s or 3 × 13 × 30 s:15 s induce "central" HR and VO 2 responses that are essentially the same as those induced by continuous work bouts of similar total duration. ...
Article
Full-text available
High-intensity interval training (HIIT) prescriptions manipulate intensity, duration, and recovery variables in multiple combinations. Researchers often compare different HIIT variable combinations and treat HIIT prescription as a “maximization problem”, seeking to identify the prescription(s) that induce the largest acute VO2/HR/RPE response. However, studies connecting the magnitude of specific acute HIIT response variables like work time >90% of VO2max and resulting cellular signalling and/or translation to protein upregulation and performance enhancement are lacking. This is also not how successful endurance athletes train. First, HIIT training cannot be seen in isolation. Successful endurance athletes perform most of their training volume below the first lactate turn point (<LT1), with “threshold training” and HIIT as integrated parts of a synergistic combination of training intensities and durations. Second, molecular signalling research reveals multiple, “overlapping” signalling pathways driving peripheral adaptations, with those pathways most sensitive to work intensity showing substantial feedback inhibition. This makes current training content and longer-term training history critical modulators of HIIT adaptive responses. Third, long term maximization of endurance capacity extends over years. Successful endurance athletes balance low-intensity and high-intensity, low systemic stress, and high systemic stress training sessions over time. The endurance training process is therefore an “optimization problem”. Effective HIIT sessions generate both cellular signal and systemic stress that each individual athlete responds to and recovers from over weeks, months, and even years of training. It is not “epic” HIIT sessions but effective integration of intensity, duration, and frequency of all training stimuli over time that drives endurance performance success.
... 27 Indeed, while a shorter duration high-intensity interval allows for faster treadmill speeds and large motor unit recruitment, it takes longer than 30 seconds of high-intensity exercise to increase cardiac stroke volume and reach V O 2max . 28,29 No study has used a strategy of combining longer and shorter high-intensity intervals that targets CRF and walking capacity or trained the MICT group to target intensity levels in people poststroke. Therefore, the primary objective of this study was to investigate whether 24 weeks of this novel HIIT strategy is superior to conventional MICT training at improving CRF and 6MWD in people following stroke with gait dysfunction. ...
... 75 Growing evidence shows that more than 30 seconds of high-intensity exercise is needed to increase cardiac stroke volume and reach VO 2max . 28,29 Indeed, our result of a greater change in V O 2peak indicates longer intervals may be needed to drive V O 2peak change. This is supported by the significantly higher mean VȮ 2 and %VO 2peak during the 2-minute than the 30-second peak bout intervals measured acutely in the current study. ...
Article
Full-text available
Background The exercise strategy that yields the greatest improvement in both cardiorespiratory fitness ( V ̇ O 2 peak V˙O2peak \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} ) and walking capacity poststroke has not been determined. This study aimed to determine whether conventional moderate‐intensity continuous training (MICT) or high‐intensity interval training (HIIT) have different effects on V ̇ O 2 peak V˙O2peak \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} and 6‐minute walk distance (6MWD). Methods and Results In this 24‐week superiority trial, people with poststroke gait dysfunction were randomized to MICT (5 days/week) or HIIT (3 days/week with 2 days/week of MICT). MICT trained to target intensity at the ventilatory anaerobic threshold. HIIT trained at the maximal tolerable treadmill speed/grade using a novel program of 2 work‐to‐recovery protocols: 30:60 and 120:180 seconds. V̇O 2 and heart rate was measured during performance of the exercise that was prescribed at 8 and 24 weeks for treatment fidelity. Main outcomes were change in V ̇ O 2 peak V˙O2peak \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} and 6MWD. Assessors were blinded to the treatment group for V ̇ O 2 peak V˙O2peak \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} but not 6MWD. Secondary outcomes were change in ventilatory anaerobic threshold, cognition, gait‐economy, 10‐meter gait‐velocity, balance, stair‐climb performance, strength, and quality‐of‐life. Among 47 participants randomized to either MICT (n=23) or HIIT (n=24) (mean age, 62±11 years; 81% men), 96% completed training. In intention‐to‐treat analysis, change in V ̇ O 2 peak V˙O2peak \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} for MICT versus HIIT was 2.4±2.7 versus 5.7±3.1 mL·kg ⁻¹ ·min ⁻¹ (mean difference, 3.2 [95% CI, 1.5–4.8]; P <0.001), and change in 6MWD was 70.9±44.3 versus 83.4±53.6 m (mean difference, 12.5 [95% CI, −17 to 42]; P =0.401). HIIT had greater improvement in ventilatory anaerobic threshold (mean difference, 2.07 mL·kg ⁻¹ ·min ⁻¹ [95% CI, 0.59–3.6]; P =0.008). No other between‐group differences were observed. During V̇O 2 monitoring at 8 and 24 weeks, MICT reached 84±14% to 87±18% of V ̇ O 2 peak V˙O2peak \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} while HIIT reached 101±22% to 112±14% of V ̇ O 2 peak V˙O2peak \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} (during peak bouts). Conclusions HIIT resulted in more than a 2‐fold greater and clinically important change in V ̇ O 2 peak V˙O2peak \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} than MICT. Training to target (ventilatory anaerobic threshold) during MICT resulted in ~3 times the minimal clinically important difference in 6MWD, which was similar to HIIT. These findings show proof of concept that HIIT yields greater improvements in cardiorespiratory fitness than conventional MICT in appropriately screened individuals. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03006731.
... Alternatively, during HIIE, exercise intensity can be guided by an individual's exercise-related sensations (rating of perceived exertion; RPE), experienced during both the work and recovery phases (Seiler & Hetlelid, 2005;Seiler & Sjursen, 2004). In particular, RPE is considered a useful metric that can be used with physiological measures including heart rate (Green et al., 2006) and/or blood lactate (Stoudemire et al., 1996) to regulate exercise intensity, regardless of an individual's fitness level (Seip et al., 1991). ...
Article
Full-text available
To investigate the acute effects of hypoxia applied during discrete work and recovery phases of a perceptually regulated, high‐intensity interval exercise (HIIE) on external and internal loads in inactive overweight individuals. On separate days, 18 inactive overweight (28.7 ± 3.3 kg m⁻²; 31 ± 8 years) men and women completed a cycling HIIE protocol (6 × 1 min intervals with 4 min active recovery, maintaining a perceived rating of exertion of 16 and 10 during work and recovery, respectively, on the 6–20 Borg scale) in randomized conditions: normoxia (NN), normobaric hypoxia (inspired O2 fraction ∼0.14) during both work and recovery (HH), hypoxia during recovery (NH) and hypoxia during work only (HN). Markers of external (relative mean power output, MPO) and internal load (blood lactate concentration, heart rate and tissue saturation index (TSI)) were measured. MPO was lower in HH compared to NN, NH and HN (all P < 0.001), with HN also being lower than NN (P < 0.001) and NH (P < 0.023). Heart rate was higher in HN than NN, HH and NH (all P < 0.001). Blood lactate response was higher in NN than HH (P = 0.003) and NH (P = 0.008). Changes in the TSI area above the curve were greater in HN relative to NN, HH and NH (all P < 0.001). Hypoxia applied intermittently during the work or recovery phases may mitigate the declines in mechanical output observed when exercise is performed in continuous hypoxia, although hypoxia implemented during the work phase resulted in elevated heart rate and lactate response. Specifically, exercise performance largely comparable to that in normoxia can be achieved when hypoxia is implemented exclusively during recovery.
... Typically, work intervals shorter than 15 s, known as sprint interval training (SIT), allow athletes to reach a higher percentage of maximal effort, eliciting anabolic power and neuromuscular stress [14,15], while longer intervals of up to two minutes could favour reaching . VO 2p , improving BLa and oxidative tolerance [16], and increasing the time to exhaustion to submaximal effort [17]. A time series between 15 s and one minute aims to induce metabolic (O 2 system) and neuromuscular responses [5]. ...
Article
Full-text available
Background: High-intensity interval training (HIIT) is one of the most debated methods involving several parameters that could be modulated, but the long-term adaptations it induces are still unclear. This investigation aimed to evaluate the efficacy of running and whole-body exercises with high-intensity (>80% heart rate) short intervals (30 s) in body composition and physical performance and compare the effects between groups with active (AR) or passive recovery (PR), both in males and females. Methods: Eighteen trained young adults (55.56% ♀) were randomly allocated to the PR (n = 9, 23.09 ± 2.56 years, 163.69 ± 9.88 cm, 68.96 ± 14.62 kg) or AR (n = 9, 22.05 ± 1.54 years, 170.61 ± 11.5 cm, 68.78 ± 12.45 kg) group. Both groups performed eight weeks of HIIT, with an equal progression, training, and volume load (TL: F = 1.55, p = 0.214; VL: F = 0.81, p = 0.505). Body fat (BF), fat-free mass (FFM), upper and lower limb fat (UFI, LFI) and muscle areas (UMA, LMA), handgrip strength (HGS), power (countermovement jump, CMJ), agility (5-0-5), and maximal oxygen consumption (V˙O2p) were tested before and after treatments. Results: The proposed HIIT reduced BF by 9.57% and increased FFM by 2.09%. Females reported better adaptations in LMA (8.34 times higher than males), while both sexes’ upper limb mass distribution was better affected by PR (♀: UFI g = 1.851, 95% CI: 0.51, 3.14; ♂: UFI g = 2.456, 95% CI: 0.336, 4.487). Concerning conditioning, the protocol increased V˙O2p by 6.47%. Females showed better adaptations in CMJ (RR = 1.8), while males showed better adaptations in agility (RR = 3.76). The interaction effects were significant for PR females (right = +6.28%; left = +9.28%) and for AR males (right = +19.21%; left = +19.04%) in HGS. Conclusions: Short-interval HIIT with different exercise recovery types may be a practical solution in training where several physiological improvements are needed. Coaches and trainers can take advantage of the versatile nature of HIIT, relying on desired movement patterns and long-term responses in both male and female individuals.
... In this context, training intensity and interval duration are considered key factors for optimal performance. In some studies, intervals lasted between 2 and 5 min (Helgerud et al., 2007;Seiler & Sjursen, 2004;Wahl et al., 2010), while in others, authors recommended shorter intervals, between 15 and 30 s (Midgley & McNaughton, 2006;Rozenek et al., 2007). Since children's physical activity patterns are naturally intermittent (Bailey et al., 1995), there is still limited evidence related to outcomes of intermittent exercise in youth with severe obesity who showed markedly elevated leptin concentration in association with metabolic risk factor and insulin resistance (Kelly et al., 2012). ...
Article
Full-text available
Interval-training is widely implemented among populations with obesity to decrease metabolic-disorders; however, high-intensity-interval-training (HIIT) has rarely been studied in severely obese adolescent girls. Therefore, the aim of this study was to compare the effects of 8 weeks of (HIIT) or moderate-intensity interval-training (MIIT), on cardiometabolic risk factors and hormonal-ratios in severely-obese-girls. For this aim, 35 female-adolescents (14.4 ± 1.4 years) were assigned randomly into HIIT (n = 12) and MIIT (n = 12), groups and a control group (CG, n = 11). Both training groups significantly improved (p < 0.05): the body-mass, body-mass-index (BMIp95), body-fat (BF%), waist-circumference (WC), mean-arterial-pressure (MAP), with a slight increase in the HIIT group. However, HIIT induced greater improvements on the maximal oxygen uptake (VO 2MAX) and the speed related (24.7 and 11.8%) compared to MIIT. Higher improvements occurred in HIIT group related to leptin and adiponectin concentrations and the A/L ratio at (p < 0.001). In conclusion, the findings indicate that both HIIT and MIIT can positively influence body composition and cardio-respiratory fitness. Given the significant correlation noted between the A/L ratio, BMIp95, BF%, and MAP post-HIIT, this training modality may be considered a more advantageous approach over MIIT for mitigating cardio-metabolic issues in severely obese adolescent girls. ARTICLE HISTORY
... Indeed, heart rate is a commonly used method of prescribing training intensity (Ferguson, 2014), yet application of BFR substantially increases the heart rate (þ20 bpm) while exercising at relatively low intensities (Ozaki et al., 2010). The use of self-paced exercise prescription may alleviate this issue as it does not rely on metrics such as the heart rate or power output (Seiler & Sjursen, 2004). Nevertheless, self-paced exercise is reliant on exercise-related sensations (Abbiss et al., 2015) such as rating of perceived exertion (RPE), effort, and pain to self-regulate intensity, which can be influenced by BFR. ...
Article
Full-text available
This study compared physiological and perceptual responses between cycling prescribed using fixed‐power (PWR) and fixed rating of perceived exertion (RPE), when performed with blood flow restricted (BFRPWR and BFRRPE) and unrestricted (CONPWR and CONRPE). Endurance cyclists/triathletes cycled for 10 min in four separate randomized conditions; that is, two methods of prescribed exercise intensity (power at the first ventilatory threshold or RPE matched to CONPWR) combined with two occlusion levels (with BFR or without). Cardiorespiratory and perceptual variables were recorded every 2 min. Blood lactate concentration was measured pre‐, immediately and 2‐min postexercise. Power output during BFRRPE was lower than CONRPE (−13 ± 13%). The greatest physiological and perceptual responses were achieved during BFRPWR. Heart rate during BFRRPE was not different compared with CONPWR, yet was greater than CONRPE (+4 ± 11%). Muscular discomfort during BFRRPE was greater than CONPWR (+43 ± 18%) and CONRPE (+65 ± 58%). Cuff pain was greater during BFRPWR than BFRRPE (+14 ± 21%). Blood lactate concentration was not different between BFRRPE, CONPWR, and CONRPE at any timepoint. The reduction in power (fixed‐RPE trials; BFR minus unrestricted) correlated with changes in the respiratory rate (r = 0.85, confidence intervals [CI] = 0.51, 0.96) and postexercise lactate (r = 0.75, CI = 0.27, 0.93) but not muscular discomfort (r = 0.18, CI = −0.47, 0.71). Cardiorespiratory and metabolic stress, muscular discomfort, and cuff pain likely mediated self‐regulating fixed‐RPE cycling with BFR. While cycling with BFR at a fixed‐RPE resulted in less physiological stress compared to BFRPWR, it still provided a heightened level of physiological stress, with less pain and discomfort. As such, fixed‐RPE can be a suitable alternative for prescribing BFR to trained cyclists.
... There are several existing technologies that support pace training or enable runners to maintain a specific pace, as noted in our earlier extensive literature review [3]. Treadmills, for instance, are designed to help runners train at varying and precise paces [46,48]. However, they fall short for outdoor runners who prefer the challenge of diverse terrains. ...
Conference Paper
Full-text available
This paper explores the potential of drones in supporting running activities as pacesetters and video recorders. Using questionnaires and interviews, insights were gathered from 10 recreational runners regarding their experience running with a drone in the study and viewing drone-captured videos of their run. Results indicated that participants found the drone experience engaging and minimally disruptive, despite perceiving it somewhat unnatural and having polarized view on the spatial immersion. Analysis of responses unveiled factors affecting runners' experiences, while their reflections on drone-captured run videos revealed benefits of leveraging such footage for post-run self-reflections and opportunities for improvement. Additionally, participants' insights led to the identification of more roles and functions for drones in supporting various running activities, beyond pace-setting and video recorders. This study lays the groundwork for future research, positioning drone utilization in running as a promising avenue for exploration.
... Thus, the two protocols had comparable submaximal internal loads as suggested by the RPE. This RPE value is close to how the athletes typically perform high-intensity aerobic training in real training settings and has been used by researchers to prescribe the level of fatigue during aerobic training (Seiler and Sjursen 2004) and for matching the effort between different training programs (Rønnestad et al. 2020). Therefore, the similar internal load, as estimated using RPE values, might be a reason for the comparable improvements in VO 2 max, PTV, and the submaximal indices of aerobic capacity with the two aerobic training programs. ...
... It is apparent that duration and intensity of the work and relief intervals are the predominant factors that influence the time spent at or near VO 2max , with exercise time spent above >90% VO 2max being a good predictor of a successful training stimulus [78]. One of the first studies that analyzed the interplay between interval duration and intensity of work and relief intervals was a study performed by Seiler and Sjursen [79]. In this study, 12 welltrained runners performed several self-paced interval sessions consisting of 24 × 1, 12 × 2, 6 × 4, or 4 × 6-min running bouts with a 1:1 work-to-rest (e.g., 1-min work vs. 1-min rest) interval, accumulating to a total session duration of 48 min. ...
Chapter
Endurance performance is characterized by numerous physiological and neuromuscular factors. In order to maximize training adaptations in well-trained and elite athletes and, thereby, improve endurance performance, athletes in various sports use high-intensity training (HIT) and strength training to enhance their performance. In this chapter, we highlight the importance of HIT and strength training on the endurance capacity by summarizing the current evidence. Furthermore, ready-to-use recommendations are provided.KeywordsEndurance performanceTraining programmingHIITStrength developmentNeuromuscular performance
Article
Full-text available
This study examined the acute effect of varied interval lengths and work: recovery (W:R) ratios on the ability to reach and maintain a high level of aerobic power. Eight female rowers (mean XVO2max of 3.46 [0.64] L · min) completed 1 continuous and 7 interval sessions on a Concept II rowing ergometer. Exercise intensity was set at a power output that elicited each individual's VO2max (VO2maxPO) and work was terminated when PO remained below 90% VO2maxPO for 15 seconds. The interval protocols were a 2:1 W: R ratio for work intervals of 30 seconds, 1,2, and 3 minutes, respectively, and a 1:1 W: R ratio for respective work intervals of 1,2, and 3 minutes. Venous blood lactate concentration (BLa) was taken after the first 3 or 4 minutes of exercise and 2 minutes post‐exercise. Total work time (TWT) was greater (p ≤ 0.05) with an interval protocol compared with continuous exercise and decreased both when the exercise interval was lengthened and when the W:R ratio changed from 1:1 to 2:1. The average work‐rate VO2 (WVO2) was highest during the continuous and the two 3‐minute interval protocols. The greatest post BLa was observed after continuous work (13.7 ± 3.1 mmol L). During intermittent exercise sessions BLa increased (3.3 ± 1.7 to 9.0 + 1.3 mmol L) as the work interval was lengthened. The heart rate at the end of such recovery period was greater in the 30:15 (s) session and in the 2:1 W: R protocol, respectively, compared with the 1:1 W:R condition. The continuous exercise (4.2 ± 1.7 min) and both 3‐minute work intervals (3.1 ± 2.8 and 5.4 ± 3.7 min) induced the most time spent at VO2max but the 3:3 (min) design elicited the greatest TWT of these three conditions. Therefore, of the protocols studied, the 3:3 (min) interval was optimal for reaching and maintaining a high level of aerobic power when working at 90 to 100% of a PO that elicites VO2max in rowing exercise.
Article
Full-text available
The present study investigated the effect of training state on ratings of perceived exertion obtained at the lactate threshold (LT) and fixed blood lactate concentrations (FBLC) of 2.0, 2.5, and 4.0 mM. Runners (N = 20) and nonrunners (N = 29) completed a progressive horizontal treadmill (TM) running test which allowed identification of the TM velocities associated with the LT and FBLC. Runners attained significantly higher TM velocities, greater [latin capital V with dot above]O2, greater [latin capital V with dot above]E, greater heart rate, and a lower ventilatory equivalent for oxygen ([latin capital V with dot above]E/[latin capital V with dot above]O2) at each exercise intensity, with the exceptions of heart rate at 4.0 mM and [latin capital V with dot above]E/[latin capital V with dot above]O2 at the LT. Compared to nonrunners, runners also attained higher [latin capital V with dot above]O2, [latin capital V with dot above]E, and heart rate relative to peak values at LT and 2.0, 2.5, and 4.0 mM. Despite these relative and absolute physiological differences, there were no differences between groups in local, central, or overall ratings of perceived exertion (RPE) (Borg scale) at any condition. The data from both groups were combined to give the following means and SD for overall RPE during horizontal running: at the LT-11.0 +/- 2.0, and at FBLC of 2.0 mM-13.7 +/-2.1, 2.5 mM-14.5 +/- 1.8, and 4.0 mM-16.5 +/- 2.3. (C)1991The American College of Sports Medicine
Article
Full-text available
Interval training consisting of brief high intensity repetitive runs (30 s) alternating with periods of complete rest (30 s) has been reported to be efficient in improving maximal oxygen uptake (V˙O2max) and to be tolerated well even by untrained persons. However, these studies have not investigated the effects of the time spent at V˙O2max which could be an indicator of the benefit of training. It has been reported that periods of continuous running at a velocity intermediate between that of the lactate threshold (v LT) and that associated with V˙O2max (v V˙ O2max ) can allow subjects to reach V˙O2max due to an additional slow component of oxygen uptake. Therefore, the purpose of this study was to compare the times spent at V˙O2max during an interval training programme and during continuous strenuous runs. Eight long-distance runners took part in three maximal tests on a synthetic track (400 m) whilst breathing through a portable, telemetric metabolic analyser: they comprised firstly, an incremental test which determined v LT, V˙O2max [59.8 (SD 5.4) ml · min−1 · kg−1], v V˙ O2max [18.5 (SD 1.2) km · h−1], secondly, an interval training protocol consisting of alternately running at 100% and at 50% of v V˙ O2max (30 s each); and thirdly, a continuous high intensity run at v LT + 50% of the difference between v LT and v V˙ O2max [i.e. v Δ50: 16.9 (SD 1.00) km · h−1 and 91.3 (SD 1.6)% v V˙ O2max ]. The first and third tests were performed in random order and at 2-day intervals. In each case the subjects warmed-up for 15 min at 50% of v V˙ O2max . The results showed that in more than half of the cases the v Δ50 run allowed the subjects to reach V˙O2max, but the time spent specifically at V˙O2max was much less than that during the alternating low/high intensity exercise protocol [2 min 42 s (SD 3 min 09 s) for v Δ50 run vs 7 min 51 s (SD 6 min 38 s) in 19 (SD 5) interval runs]. The blood lactate responses were less pronounced in the interval runs than for the v Δ50 runs, but not significantly so [6.8 (SD 2.2) mmol · l−1 vs 7.5 (SD 2.1) mmol · l−1]. These results do not allow us to speculate as to the chronic effects of these two types of training at V˙O2max.
Article
Full-text available
We examined the relationship between heart rate threshold (HRT), lactate turn point (LTP) and myocardial function expressed as left ventricular ejection fraction (LVEF) determined by radionuclide ventriculography. Two groups of subjects (G I: N = 8; G II: N = 7) with and without a deflection of heart rate performance curve (HRPC) underwent sitting cycle ergometry. HRT (G I), aerobic threshold (AeT; G I, G II), and LTP (G I, GII) were determined by means of linear regression break point analysis. Also, a break point in LVEF performance curve (LVEFBP) was obtained. Power output at HRT and at LTP was not significantly different between G I and G II (272.5 ±38.7 W; 294.3 ±20.6 W). Power output at LVEFBP (G I: 182.6±31.7 W; GII: 211.8 ±21.5 W) was not significantly different to power output at LTP (G I: 194.2 ± 32.7 W; GII: 215.2 ±24.4 W) and HRT (G I: 193.0±38.2 W). Significant differences (p<0.05) could only be found between GI and GII for heart rate (HR) at LTP (G I: 163.5±5.8b·min⁻¹; G II: 154.4±6.7b·min⁻¹) and LVEF at the end of the load (LVEFend) (G I: 77.9 ± 2.9%; GII: 71.3 ± 7.0%). The drop of LVEF at LVEFBP was significantly related to LTP in all cases. The present data suggest that the noninvasive determination of anaerobic threshold by means of heart rate curve analysis is not always possible due to different response of myocardial function and heart rate to graded cycle ergometer exercise. The cause for the differing behaviour of HR and LVEF requires further investigation.
Article
After intense exercise muscle may give off hydrogen ions independently of lactate, perhaps by a mechanism involving sodium ions. To examine this possibility further five healthy young men cycled for 2 min to exhaustion. Blood was drawn from catheters in the femoral artery and vein during exercise and at 1-h intervals after exercise. The blood samples were analysed for pH, blood gases, lactate, haemoglobin, and plasma proteins and electrolytes. Base deficit was calculated directly without using common approximations. The leg blood flow was also measured, thus allowing calculations of the leg’s exchange of metabolites. The arterial blood lactate concentration rose to 14.2 ± 1.0 mmol L–1, the plasma pH fell to 7.18 ± 0.02, and the base deficit rose 22% more than the blood lactate concentration did. The femoral-venous minus arterial differences peaked at 1.8 ± 0.2 mmol L–1 (lactate), –0.24 ± 0.01 (pH), and 4.5 ± 0.4 mmol L–1 (base deficit), and –2.5 ± 0.7 mmol L–1 (plasma sodium concentration corrected for volume changes). Thus, near the end of the exercise and for the first 10 min of the recovery period the leg gave off more hydrogen ions than lactate ions to the blood, and sodium left plasma in proportion to the extra hydrogen ions appearing. The leg’s integrated excess release of hydrogen ions of 0.88 ± 0.45 mmol kg–1 body mass was 67% of the integrated lactate release. Base deficit calculated by the traditional approximate equations underestimated the true value, but the error was less than 10%. We conclude that intense exercise and lactic acidosis may lead to a muscle release of hydrogen ions independent of lactate release, possibly by a Na+,H+ exchange. Hydrogen ions were largely buffered in the red blood cells.
Article
This study compared the variance in blood lactate (LA) removal (LAR) following intense exercise for 15 subjects during rest or active recovery (AR) at intensities expressed relative to V̇O2max and the Aerobic Threshold (AerT). Two 3-min, 30 W incremental tests on the cycle ergometer were used to determine V̇O2max (51.8 ± 4.6 ml·kg-1·min-1) and AerT (52.9 ± 4.7% V̇O2max). AerT was determined from an initial continuous rise in LA above resting values and from the 1st “break” in V̇E vs V̇O2. Subjects performed six randomly ordered bouts of 10 min of exercise at 90% V̇O2max, followed by 1 min of rest and either 20 min of further rest or AR at AerT-30% (A-30), -20% (A-20), -10% (A-10), ±10% (A), or +10% V̇O2max (A+10). LA was determined after the 10 min of exercise and each 3 min of recovery. The calculation of individual half-times (t 1/2) for LAR revealed a significantly slower t 1/2 for rest compared to any AR and faster t 1/2 for A-20, A-10, and A compared to A+10. Regression analysis revealed no difference in r2 (0.74-0.77) for t 1/2 of LAR for all recovery conditions with intensity expressed as% V̇O2max or AerT ±% V̇O2max. With rest recovery data excluded, however, a greater proportion of the variance in LAR was explained with intensity expressed as AerT ±% V̇O2max (r2 = 0.77) than as% V̇O2max (r2 = 0.64). Peak LAR during AR was predicted to occur at AerT-10% V̇O2max. It is concluded that AR slightly below AerT improves LAR compared to rest or AR above AerT. Expressing AR intensity as AerT ±% V̇O2max decreases the interindividual variance.
Article
This study was designed to ascertain whether 7- and 13-wk interval training programs with training frequencies of 2 days/wk would produce improvement in maximal aerobic power (VO2max) comparable to that obtained from 7- and 13-wk programs of the same intensity consisting of 4 training days/wk. Sixty-nine young healthy college males were used as subjects. After training, there was a significant increase in VO2max (bicycle ergometer, open-circuit spirometry) that was independent of both training frequency and duration. However, there was a trend for greater gains after 13 wk. Maximal heart rate (direct lead ECG) was significantly decreased following training, being independent of both training frequency and duration. Submaximal VO2 did not change with training but submaximal heart rate decreased significantly with greater decreases the more frequent and longer the training. Within the limitations of this study, these results indicate that: 1) maximal stroke volume and/or maximal avO2 difference, principle determinants of VO2max, are not dependent on training frequency nor training duration, and 2) one benefit of more frequent and longer duration interval training is less circulatory stress as evidenced by decreased heart rate, during submaximal exercise.
Article
To assess the contribution of the autonomic nervous system to heart rate recovery following exertion, heart rate was observed after peak treadmill exercise in six men following parasympathetic blockade (PB) with atropine sulfate (0.03 mg/kg), sympathetic blockade (SB) with propranolol hydrochloride (0.20 mg/kg), double blockade (DB) with both drugs, and no drugs (ND). Least-squares analysis of each subject's heart rate (HR) as an exponential function of recovery time (t) was computed for each treatment giving an equation of the form HR = aebt. HRs at rest, peak exercise, and 10 min of recovery, the coefficients a and b, and the least-squares correlation coefficient (r) were compared among treatments by nonparametric analysis of variance and rank-sum multiple comparisons. HR recovered in an exponential manner after dynamic exercise in each subject with each of the treatment modes (P less than 0.01 for each r, mean across all treatments r = 0.94). Coefficients a and b differed the most between PB and SB. At the cessation of exercise the decreases in venous return and the systemic need for cardiac output are accompanied by an exponential HR decline. The exponential character of the cardiodeceleration seen after peak exercise appears to be an intrinsic property of the circulation because it occurred under each experimental condition.