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Suppression of heart rate variability after supramaximal exertion

Authors:

Abstract

Wingate test is short anaerobic exercise, performed with maximal power, whereas aerobic exercise at 85% maximal heart rate (HR(max)) may be performed for long period. Sustained HR elevations and changes in autonomic activity indices have been observed after latter kind of exercise. Several studies reported reduction in mean interval between consecutive R peaks in ECG (RRI) 1 h after Wingate test; however, underlying changes in autonomic activity remain elusive. In eight young males, RRI and heart rate variability (HRV) were measured daily over two 5-day trials. Subjects exercised on third day of each trial, measurements were taken 1 h after (i) two consecutive 30-s bouts of Wingate tests or (ii) after a 30-min exercise at 85% HR(max), with subjects in supine rest and breathing either spontaneously or at controlled rates of 6 and 15 breaths / min. RRI was significantly shorter after Wingate and submaximal exercise, reduction of high- and low-frequency components of HRV attained reliability only after Wingate tests. This pattern remained preserved for three modes of breathing: spontaneous, 6 and 15 breaths /min. After 24 and 48 h, no exercise effects were traceable. We hypothesize that (i) anaerobic exertion is followed by sustained inhibition of vagal activity, (ii) parasympathetic system plays dominant role in mediating suppression of high- and low-HRV frequency components during postexercise recovery, (iii) degree of alteration of autonomic activity caused by anaerobic and strenuous aerobic exercise may be similar and (iv) normalization of vagal activity precedes normalization of sympathetic cardiac nerves activity during final stage of postexercise recovery.
Suppression of heart rate variability after supramaximal
exertion
W. Niewiadomski
1
,A.Ga˛ siorowska
1
, B. Krauss
2
, A. Mro
´z
2
and G. Cybulski
1
1
Department of Applied Physiology, Medical Research Center, Polish Academy of Sciences, Warsaw, and
2
Department of Biochemistry and Physiology, Academy
of Physical Education, Warsaw, Poland
Correspondence
Wiktor Niewiadomski, Department of Applied
Physiology, Medical Research Center, Polish
Academy of Sciences, 5 Pawinski St. 02-106
Warsaw, Poland
E-mail: wiktorn@cmdik.pan.pl
Accepted for publication
Received 20 October 2006;
accepted 14 June 2007
Key words
autonomic activity; controlled breathing; heart rate;
postexercise recovery; submaximal exercise
Summary
Wingate test is short anaerobic exercise, performed with maximal power, whereas
aerobic exercise at 85% maximal heart rate (HR
max
) may be performed for long
period. Sustained HR elevations and changes in autonomic activity indices have been
observed after latter kind of exercise. Several studies reported reduction in mean
interval between consecutive R peaks in ECG (RRI) 1 h after Wingate test; however,
underlying changes in autonomic activity remain elusive. In eight young males, RRI
and heart rate variability (HRV) were measured daily over two 5-day trials. Subjects
exercised on third day of each trial, measurements were taken 1 h after (i) two
consecutive 30-s bouts of Wingate tests or (ii) after a 30-min exercise at 85%
HR
max
, with subjects in supine rest and breathing either spontaneously or at
controlled rates of 6 and 15 breaths min. RRI was significantly shorter after Wingate
and submaximal exercise, reduction of high- and low-frequency components of
HRV attained reliability only after Wingate tests. This pattern remained preserved for
three modes of breathing: spontaneous, 6 and 15 breaths min. After 24 and 48 h,
no exercise effects were traceable. We hypothesize that (i) anaerobic exertion is
followed by sustained inhibition of vagal activity, (ii) parasympathetic system plays
dominant role in mediating suppression of high- and low-HRV frequency
components during postexercise recovery, (iii) degree of alteration of autonomic
activity caused by anaerobic and strenuous aerobic exercise may be similar and (iv)
normalization of vagal activity precedes normalization of sympathetic cardiac nerves
activity during final stage of postexercise recovery.
Introduction
The risk of cardiac events, including sudden death, increases not
only during vigorous exercise, but also during periods of
recovery (Cobb & Weaver, 1986; Mittleman et al., 1993; Willich
et al., 1993; Albert et al., 2000). Autonomic activity seems to
play an important role in determining the outcome of exercise
induced circulatory challenges. Numerous studies, mostly using
induced cardiac ischaemia in exercising dogs, have demonstra-
ted that parasympathetic activity protects against ventricular
fibrillation (VF), while sympathetic activity increases the risk of
VF (Schwartz et al., 1992; Schwartz, 1998; Adamson & Vanoli,
2001).
Sustained changes in autonomic activity, evidence in a
lasting elevation of HR at least 1-h postexercise, were
observed after intensive submaximal (Floras et al., 1989; Hara
& Floras, 1995; Forjaz et al., 1998) or maximal incremental
exercise (Coats et al., 1989; Piepoli et al., 1994). Sustained
elevation of HR was observed not only after vigorous aerobic
exertion, but also after 30- to 75-s anaerobic exercise,
performed as single or multiple Wingate tests (Hussain et al.,
1996; Hoffman et al., 1997; Falk et al., 1998; Backx et al.,
2000). Wingate test is the most widely used anaerobic
performance test, and its result is known to be a valid
predictor of the performance of an array of anaerobic
exercises, be it running, swimming or skating. During the
Wingate test, the subject maintains highest possible pedalling
velocity against resistance set individually in a manner, known
to maximize the subjects mean power attained during the
test. Typical 30-s Wingate tests duration has been chosen for
being sufficiently long to allow for developing the maximal
glycolytic power, and sufficiently short for maintaining
maximal effort until the end of test (Inbar et al., 1996;
Dotan, 2006; Micklewright et al., 2006).
Clin Physiol Funct Imaging (2007) 27, pp309–319 doi: 10.1111/j.1475-097X.2007.00753.x
2007 The Authors
Journal compilation 2007 Blackwell Publishing Ltd Clinical Physiology and Functional Imaging 27, 5, 309–319 309
Analysis of heart rate variability (HRV) both in frequency and
time domain offers insights into autonomic activity. Total
power of HRV, equal to its variance or SD
2
, has been used as a
measure of tonic parasympathetic activity. More specific indices
of this activity are part of the total power distributed in the
range of high frequencies (typically 0Æ15–0Æ4 Hz), denoted HF
and RMSSD – time domain index – reflecting fast beat-to-beat
changes of HR. It still remains controversial whether power
distributed in the range of low frequencies (typically 0Æ04–
0Æ15 Hz), termed LF, may serve as an index of sympathetic
activity (Eckberg, 1997).
Only few studies have examined postexercise HRV during a
period extended over 1 h after exercise cessation. Oida et al.
(1997) found HRV attenuation 45 min after a 30 min-lasting
exercise at 70% of maximal oxygen uptake level. Furlan et al.
(1993) reported reduction of HRV 1-h postexercise, but the
exercise training protocol was not specified. Legramante et al.
(2002) noticed no change at that time after maximal incre-
mental exercise, whereas Mourot et al. (2004) found signifi-
cantly reduced HRV 1 h after vigorous exercise.
As long-term changes in HRV have not been evaluated after
anaerobic effort, we examined HRV after the Wingate tests.
Our primary aim was to determine the sustained modification
of HRV at 1, 24 and 48 h after exercise; 48 h was the longest
time point of recovery, for which alterations in HRV have
been noticed to date (Hautala et al., 2001; Mourot et al.,
2004).
The effects of Wingate tests were then compared with those
of vigorous aerobic exercise at 85% HR
max
, which lasted for
30 min. These two types of exercise cause sustained postexercise
HR elevation. The Wingate test is almost completely anaerobic
and performed with maximal power, which rapidly declines
towards the end of the test. In contrast, exercise at 85% HR
max
is
predominately aerobic and may be performed at this intensity
for a long period (Meyer et al., 1999). Respiratory arrhythmia is
an important component of HRV and amplitude of respiratory
arrhythmia strongly depends on breathing frequency (Brown
et al., 1993). Therefore, beside measurements during sponta-
neous breathing, we also intended to obtain standardized HRV
measurement during phases of controlled breathing rates at 6
and 15 breaths min.
We hypothesized that, despite its short duration, anaerobic
effort should be followed by marked reduction of HRV, parallel
to prolonged reduction of RRI, observed by others, analogously
to prolonged reduction of RRI and HRV seen after vigorous
aerobic exercise.
Methods
Subjects
Eight healthy, young male students of physical education
participated in this study. They gave their written consent,
and the study protocol was approved by Ethical Committee of
Medical Research Center in Warsaw.
Preliminary testing
Before commencing with the experimental protocol, anthrop-
ometric data were collected, and peak oxygen uptake and peak
heart rate for each subject were determined.
For this purpose, the subjects undertook a progressive
exercise test on a mechanically braked cycle ergometer (Monark
884 E, Monark Exercise AB, Vansbro, Sweden). They began
pedalling at 60 W for 3 min, and then the exercise load was
increased by 30 W every 3 min. The test was continued until
volitional exhaustion.
Oxygen uptake was determined for each successive 10-s
period (V
max
29, Sensormedics, VIASYS Healthcare Inc., Yorba
Linda, CA, USA). The last 3 min before test termination were
used for peak oxygen consumption. Average value from every
60 s within these 3 min was calculated and the greatest value
was taken as the peak oxygen consumption. Heart rate was
monitored using a heart rate monitor (Team Polar, Polar Electro
Oy, Kempele, Finland) and power output was calculated by
using a PC software
MCE
v. 4Æ5 (JBA Z. Staniak, Warszawa,
Poland).
Experimental protocol
The subjectsHR and HRV were examined in the late morning
each day during two 5-day trials, separated by 5-day interval
(Fig. 1a). During the first 5-day trial, a Wingate test was
performed on day 3. Similarly, during the second 5-day trial,
the subjects performed 30-min submaximal exercise at 85%
HR
max
intensity on a cycle ergometer, also on the third day.
After both types of exercise, subjects recovered for 1 h before
ECG measurements were taken. During this break, they were
allowed to walk, sit, to drink modest amount of non-caffeinated
fluid but no food intake. They were also asked to avoid intensive
physical or mental activity.
Before ECG measurements, subjects rested supine for 10 min
and then remained in the same body position during measure-
ment. The subjects performed the following sequence of
breathing modes: (i) spontaneous breathing – 10 min, (ii)
controlled breathing at 15 breathes min rate 3 min, (iii)
spontaneous breathing – 2 min, (iv) controlled breathing at 6
breathes min rate 3 min. The period between 4th and 9th
minute of spontaneous breathing and the 3-min interval of
controlled breathing were analysed (Fig. 1b).
Wingate tests were performed by using cycle ergometer
(Monark 884 E) with sensors affixed to the flywheel. Data were
collected and two performance indices – mean and peak power
– commonly used in Wingate test were calculated with the
software package
MCE
v. 4Æ0 (JBA, Zb. Staniak). Wingate tests
were preceded by 5-min warming-up at 50 W. Immediately
after the warming-up period, the subjects performed two 30-s
Wingate tests. The two tests were separated by 3 min of active
recovery (cycling without resistance). Standard weight resist-
ance was applied, corresponding to 7Æ5% subjects body weight
(Inbar et al., 1996). During tests, the subjects were encouraged
HRV suppression after supramaximal exertion, W. Niewiadomski et al.
2007 The Authors
Journal compilation 2007 Blackwell Publishing Ltd Clinical Physiology and Functional Imaging 27, 5, 309–319
310
to pedal against resistance at the highest possible velocity and to
maintain it to the test end. Following the second Wingate test,
the subjects had 6 min of active recovery.
Instrumentation and signal analysis
During both types of exercises, HR was continuously monitored
and recorded using a Polar Vantage heart rate monitor (Polar
Electro Oy).
During measurements performed in supine rest, ECG
measurements were performed in supine rest using lead II
of a cardiotachometer (CTK-3011, Temed, Poland). Flow of
respiratory air was recorded continuously by a Flow
Transducer Interface equipped with Fleisch gauge (Medikro
Oy, Kuopio, Finland) and analogue signals were digitized at a
sampling rate of 200 Hz (WinAcq data acquisition system,
Absolute Aliens Oy, Turku, Finland), computer stored and
processed by
WINCPRS
software (Absolute Aliens Oy). R peaks
were software detected and R peak position markers were
displayed superimposed on ECG signal. Markers of errone-
ously detected or missed R peaks were properly edited, and
RR intervals, time and frequency indices of HRV were
calculated. Respiratory air flow recordings were transformed
into respiratory volume curves, parameters of breathing cycles
were software determined and mean frequency of breathing
was calculated. Spectral analyses of HRV were performed with
Fast Fourier Transformation (FFT) methods. Before FFT, the
linear trend was removed, signal linearly interpolated and
resampled with sampling rate of 5 samples s. Signal was
windowed by using Hanning window function. The spectrum
was smoothed by a triangular window over the frequency
range of 0Æ01 Hz.
Blood pressure measurements were conducted using an
automatic oscillometric sphygmomanometer, with cuff placed
upon brachial artery during spontaneous breathing.
Data analysis
The following indices were calculated:
RRI (ms) ¼mean of all normal RR intervals.
Time-domain indices of HRV calculated for all three breathing
modes:
SDNN (ms) ¼SD of normal RR intervals,
RMSSD (ms) ¼the square root of the mean of the sum of
the squares of differences between
adjacent normal RR intervals.
Frequency domain indices of HRV calculated:
(a) for spontaneous breathing
HF ðms2Þ¼power in the 0.15-0.40 Hz frequency band
LFðms2Þ¼power in the 0.04-0.15 Hz frequency band
(b) for controlled breathing at 15 breaths min
RF15ðms2Þ¼power in the 0.23-0.27 Hz frequency band,
centered at respiratory frequency (0.25 Hz),
(c) for controlled breathing at 6 breaths min
RF6ðms2Þ¼power in the 0.08-0.12 Hz frequency band,
centered at respiratory frequency (0.1 Hz).
We introduced RF15 and RF6 as frequency-domain HRV
indices tailored to measure power of respiratory peaks.
Although these frequency bands were located either in HF
range or in LF range for 15 breaths min and 6 breaths min,
respectively, respiratory peaks during controlled breathing were
much narrower than HF and LF ranges. Therefore, the values of
DAY 1 DAY 5
DAY 1 DAY 5
TRIAL
(a)
(b)
I
DAY 3
1 h
DAY 2 DAY 4
1 2 RECOVERY 3 4 5
85% HR
max
30’
TRIAL II
DAY 3
DAY 2 DAY 4
1 2 4 5
RECOVERY 3
WINGATE TESTS
1 h
SEQUENCE OF BREATHING MODES
10’ 13’ 15’ 18’
15 SP 6SP
HRV
9’4’0’
HRV HRV
Figure 1 Experimental protocol. Heart rate
variability (HRV) – period used for HRV
measurement; SP – spontaneous breathing;
15:15 breaths min; 6:6 breaths min.
HRV suppression after supramaximal exertion, W. Niewiadomski et al.
2007 The Authors
Journal compilation 2007 Blackwell Publishing Ltd Clinical Physiology and Functional Imaging 27, 5, 309–319
311
RF15 and RF6 depended primarily on the amplitude of
respiratory modulation of HR, and HRV peaks of possibly
non-respiratory origin located beyond well-defined band
around respiratory frequency were filtered out.
Statistical analysis
Two-way ANOVA with repeated measurements was used to
evaluate the effect of exercise type (submaximal versus Wingate
tests) and of time (day of 5-day trial) on RRI and HRV indices.
P<0Æ05 was assumed as the threshold for statistical significance.
The Newman–Keuls post hoc analysis was performed when
significant factor effects or their interactions were detected.
Where appropriate data were transformed using logarithmic
transformation to induce normality and improvement in
normality was assessed using Normal Probability Plot.
Results
Subjects and graded exercise test performance
Anthropological data of subjects and results of graded exercise
test are shown in Table 1. It is very likely that VO
2peak
determined here attained VO
2max
because all but one subjects
fulfilled two, out of three conditions of VO
2max
attainment
criterion (Duncan et al., 1997). Peak HR was >200 minus age in
seven subjects and the peak respiratory quotient (RQ) was >1Æ1
in all subjects. Blood lactate was not measured.
Wingate tests performance
Mean and peak power were 729 ± 154 W and 901 ± 210 W in
the first test, and 608 ± 177 W and 877 ± 249 W in the second
test. HR achieved at the end of second Wingate test was 185 ± 5
bpm, which was significantly higher than the 85% HR
max
main-
tained during submaximal exercise (161 ± 9 bpm; P<0Æ0001).
Breathing frequency
During spontaneous breathing, a wide range of breathing
frequencies was observed: from 8Æ4 breaths min (0Æ14 Hz) to
22 breaths min (0Æ37 Hz), with the mean breathing frequency
close to 16 breaths min (0Æ27 Hz). Hence, spontaneous
breathing test was performed at some higher average breathing
frequency than controlled breathing test (0Æ25 Hz). During
controlled breathing tests, subjects maintained well the prede-
termined breathing frequencies (0Æ10 Hz for 6 breaths min and
0Æ25 Hz for 15 breaths min) (Table 2).
HRV suppression 1 h after anaerobic effort and aerobic
exercise
Overall suppression of HRV
The whole HRV may be measured in time domain as the variance
of RRI, in frequency domain as total power of HRV, variance and
total power being numerically equal. SDNN is directly related to
whole HRV as a square root of RRI variance. Results of ANOVA for
SDNN revealed a significant effect of trial day, and a significant
interaction between type of effort and day of trial (Table 3).
Post hoc Newman–Keuls analysis revealed that SDNN after Wingate
tests was significantly lower in comparison with pre-exercise day,
and also to the 5th day. There were no significant differences
between SDNN obtained after submaximal exercise (Fig. 1), and
the remaining day of trial. The decline of SDNN from pre-exercise
to exercise day was greater for Wingate tests than for submaximal
Table 1 Anthropological data and results of
graded exercise test.
n
Age
(years)
Height
(cm)
Weight
(kg)
VO
2max
(ml kg
)1
min
)1
)RQ
max
HR
max
[bpm]
Peak
aerobic
power (W)
121Æ0 176 72 55 1Æ09 182 312
221Æ0 186 72 50 1Æ27 194 294
320Æ9 186 80 57 1Æ16 172 330
420Æ6 183 74 58 1Æ24 207 360
521Æ8 188 80 49 1Æ14 189 306
621Æ4 177 76 45 1Æ18 185 240
724Æ1 180 67 57 1Æ23 184 330
821Æ0 183 94 49 1Æ17 197 330
Mean ± SD 21Æ5±1Æ1 182 ± 4 77 ± 8 53 ± 5 1Æ19 ± 0Æ06 189 ± 11 313 ± 35
Table 2 Breathing frequency in Hz
(mean ± SD) on pre-exercise and exercise day
measured 1 h after either two 30-s Wingate
tests or 30 min of cycling at 85% HR
max
.
Wingate tests Submaximal exercise
Pre-exercise
day
Exercise
day
Pre-exercise
day
Exercise
day
Spontaneous 0Æ265 ± 0Æ075 0Æ281 ± 0Æ080 0Æ270 ± 0Æ075 0Æ275 ± 0Æ057
15 breathsmin 0Æ251 ± 0Æ001 0Æ250 ± 0Æ000 0Æ250 ± 0Æ000 0Æ250 ± 0Æ000
6 breathsmin 0Æ110 ± 0Æ008 0Æ103 ± 0Æ003 0Æ100 ± 0Æ000 0Æ100 ± 0Æ000
HRV suppression after supramaximal exertion, W. Niewiadomski et al.
2007 The Authors
Journal compilation 2007 Blackwell Publishing Ltd Clinical Physiology and Functional Imaging 27, 5, 309–319
312
exercise, and this decline was statistically different for sponta-
neous and 6 breaths min respiration (Table 4).
Suppression of the high-frequency component of HRV
In this study, high-frequency component of HRV was measured
with RMSSD – time domain index sensitive more to rapid than
to slow changes in HR; this index was applied to all three modes
of breathing. The high-frequency component was also measured
with two frequency domain indices: HF and RF15, applied to
spontaneous and controlled breathing at 15 breaths min,
respectively.
Results of ANOVA for RMSSD revealed a significant effect of
trial day (with exception of RMSSD values noted during 6
breaths min respiration, see Table 3), and a significant inter-
action between type of effort and day of trial. Post hoc Newman–
Keuls analysis revealed that RMSSD after Wingate tests were
significantly lower in comparison with pre-exercise day, and to
the 5th day. There were no significant differences between
RMSSD obtained after submaximal exercise (Fig. 2), and the
remaining day of trial. The decline of RMSSD from pre-exercise
to exercise day was greater for Wingate tests than for
submaximal exercise (Fig. 3), and these declines were statisti-
cally different for spontaneous and 6 breaths min respiration
(Table 4).
The ANOVA for HF revealed a significant effect of trial day
and its significant interaction with type of effort (Table 3). Post
hoc Newman–Keuls analysis showed that HF after Wingate tests
was significantly different in comparison with all other day
(Fig. 2). The decline of HF from pre-exercise to exercise day
was significantly greater for Wingate tests than for submaximal
exercise (Table 4).
Statistical analysis of RF15 showed significant effect of trial
day, and it also interacted with type of effort (Table 3). Post hoc
Newman–Keuls analysis confirmed that RF15 on Wingate tests
Table 3 Effects of day of trial and exercise modality on mean RR
interval (RRI) and power spectral density (HRV) indices: SDNN, RMSSD,
high frequency (HF), low frequency (LF), RF15, RF6, assessed with
two-way ANOVA for repeated measurements, I factor: (5 day), II factor
type of exercise (two 30-s Wingate tests or 30 min of cycling at 85%
HR
max
).
Breathing
mode
RRI and
HRV indices
Factors
III I·II
spontaneous SDNN P<0Æ01 NS P<0Æ05
15 breaths min SDNN P<0Æ05 NS NS (P=0Æ052)
6 breaths min SDNN P<0Æ05 NS P<0Æ05
spontaneous RMSSD P<0Æ05 NS P<0Æ01
15 breaths min RMSSD P<0Æ01 NS P<0Æ05
6 breaths min RMSSD NS NS P<0Æ05
spontaneous HF P<0Æ05 NS P<0Æ05
15 breaths min RF15 P<0Æ01 NS P<0Æ01
spontaneous LF P<0Æ05 NS P<0Æ05
6 breaths min RF6 NS NS P<0Æ05
spontaneous RRI P<0Æ01 NS NS
15 breaths min RRI P<0Æ01 NS NS
6 breaths min RRI P<0Æ001 NS NS
Table 4 Comparison of mean RR interval (RRI) and heart rate variability (HRV) indices SDNN, RMSSD, high frequency (HF), low frequency (LF),
RF15, RF6 (mean ± SD) on pre-exercise day and exercise day and comparison of differences between pre-exercise day and exercise day values.
Significance of breathing frequency was evaluated with one-way ANOVA for repeated measurements, significance of trial day for a given exercise
modality, and significance of exercise modality for difference between pre-exercise day and exercise day value were evaluated with t-test for depended
samples, significance was assumed at P<0Æ05.
Type of
breathing
RRI and
HRV indices
Type of exercise
Wingate tests Submaximal exercise
Pre-exercise day Exercise day Difference Pre-exercise day Exercise day Difference
Spontaneous RRI (ms)
15
959
PE
± 128 802 ± 208 157 ± 144 941
PE
± 164 837 ± 126 103 ± 117
15 breaths min RRI (ms)
6,S
893
PE
± 127 727 ± 162 167 ± 94 894 ± 166 809 ± 119 85 ± 39
6 breaths min RRI (ms)
15
944
PE
± 125 784 ± 163 160 ± 79 923
PE
± 162 824 ± 119 99 ± 81
Spontaneous SDNN (ms)
6,15
94
PE
±41
6
45 ± 39 50
WS
±38
6
79 ± 34
6
69 ± 25 10 ± 28
15 breaths min SDNN (ms)
6,S
59
PE
±28
6
33 ± 22 26 ± 22
6
66 ± 48
6
59±49 8±11
6 breaths min SDNN (ms)
S,15
130
PE
±64
S,15
85 ± 60 45
WS
±36
S,15
129 ± 63
S,15
111 ± 56 18 ± 13
Spontaneous RMSSD (ms)
15
91
PE
± 54 37 ± 49 53
WS
±58
6
78 ± 56
6
57 ± 33 21 ± 44
15 breaths min RMSSD (ms)
6,S
58
PE
±37
6
24 ± 22 34 ± 28
6
65 ± 52
6
46 ± 49 19 ± 11
6 breaths min RMSSD (ms)
15
108
PE
±67
15
60 ± 53 48
WS
±38
S,15
105 ± 69
S,15
85 ± 50 20 ± 15
Spontaneous HF (ms
2
) 2658
PE
± 3308 509 ± 980 2149
WS
± 3479 1782 ± 1535 837 ± 653 945 ± 1576
Spontaneous LF (ms
2
) 2094
PE
± 1488 542 ± 646 1552
WS
± 1344 1676 ± 1612 1446 ± 1509 230 ± 788
15 breaths min RF15 (ms
2
) 1121
PE
± 1472 294 ± 455 827
WS
± 1129 1140 ± 1499 639 ± 937 501 ± 733
6 breaths min RF6 (ms
2
) 13634
PE
± 11968 5806 ± 6846 7828 ± 7608 11542 ± 11557 7350 ± 7552 4192 ± 6721
6 – according to post hoc Newman–Keuls test significantly different from 6 breaths min respiration value.
S – according to post hoc Newman–Keuls test significantly different from spontaneous respiration value.
15 – according to post hoc Newman–Keuls test significantly different from 15 breaths min respiration value.
PE – according to t-test significantly different from exercise day.
WS – according to t-test, change between pre-exercise day and exercise day of Wingate test session significantly different from such difference of
submaximal exercise session.
HRV suppression after supramaximal exertion, W. Niewiadomski et al.
2007 The Authors
Journal compilation 2007 Blackwell Publishing Ltd Clinical Physiology and Functional Imaging 27, 5, 309–319
313
day was significantly different in comparison with all other day.
The decline of RF15 from pre-exercise to exercise day was
significantly greater for Wingate tests than for submaximal
exercise (Fig. 4, Table 4).
Suppression of the low-frequency component of HRV
In this study, low-frequency component of HRV was measured with
two frequency domain indices: LF and RF6, applied to
spontaneous and controlled breathing at 6 breaths min rate,
respectively.
The ANOVA for LF revealed a significant effect of trial day
and its significant interaction with type of effort (Table 3).
Despite this, post hoc Newman–Keuls analysis did not show any
significant difference between values from different day of
trial. However, P-values for paired comparisons between
Wingate tests exercise day versus each other trial day were
only marginally above 0Æ05. The decline of LF from pre-
RRI (ms)
700
800
900
1000
Wingate
85% HR
max
x
SDNN (ms)
20
40
60
80
100
120
xx
RMSSD (ms)
10
50
90
130
xx
ln HF
8
10
12
14
16
xxx
Day
ln LF
10
12
14
16
1 2 3 4 5
Figure 2 Mean values (SE) of RR interval and heart rate variability
(HRV) indices: SDNN, RMSSD, high frequency, and low frequency
measured in eight subjects during two 5-day trials. The 3rd day of each
trial was an exercise day, measurements were performed after 1-h
recovery. Subjects breathed spontaneously in supine position. Two
consecutive 30-s Wingate tests were performed during first trial, 30-min
submaximal exercise at 85% HR
max
during second trial. Data were
analysed with two-way ANOVA for repeated measurements and
subsequently with post hoc Neuman–Keuls test. x – 3rd day of both trials
significantly (P<0Æ05) different from all other day of both trials; xx – 3rd
day of Wingate trial significantly (P<0Æ05) different from 2nd and 5th
day of this trial; xxx – 3rd day of Wingate trial significantly (P<0Æ05)
differed from all other day of both trials.
RRI (ms)
600
700
800
900
1000
(a)
(
b)
S156 S156 S156 S156
S156 S15 6 S156 S15
6
Preexercise day
Exercise day
**
*
*
*
x
Wingate
85% HR
max
85% HR
max
Wingate
RMSSD (ms)
0
40
80
120
*
*
*
x
x
x
Figure 3 Effects of type of breathing (S: spontaneous breathing, 15:15
breaths min, 6:6 breaths min) and exercise modality (Wingate – two
consecutive 30-s Wingate tests, 85% HR
max
– 30 min submaximal
exercise at 85% HR
max
) on mean RR interval (a) and RMSSD (b). Values
are mean (SE), n= 8. Significance of breathing frequency was evaluated
with one-way ANOVA for repeated measurements, difference between
pre-exercise day and exercise day values (the same type of breathing and
the same trial) were evaluated with t-test for dependent samples. * –
significant (P<0Æ05) difference between pre-exercise and exercise day
values; x – significant (P<0Æ05) difference between value obtained at
given type of breathing and values obtained at two others types of
breathing.
HRV suppression after supramaximal exertion, W. Niewiadomski et al.
2007 The Authors
Journal compilation 2007 Blackwell Publishing Ltd Clinical Physiology and Functional Imaging 27, 5, 309–319
314
exercise to exercise day was significantly greater for Wingate
tests than for submaximal exercise (Table 4).
The pattern of RF6 changes was similar to the rest of HRV
indices; however, two-way ANOVA failed to detect the
significant effect of trial day, but there was a significant
interaction between type of effort and trial day (Table 3).
Analysis of pre-exercise and exercise day (Table 4) showed that
RF6 on Wingate tests day was significantly smaller than on pre-
exercise day. The decline of RF6 from pre-exercise to exercise
day was insignificantly greater for Wingate tests than for
submaximal exercise.
Effects of breathing mode on HRV
Effect of breathing mode on HRV was evaluated as an effect on
time domain indices – SDNN and RMSSD, because only these
indices were applied to all three breathing modes. Breathing
mode did not change the pattern of HRV responses to two kinds
of exercise (Table 4); however, it generally changed magnitude
of SDNN and RMSSD; both indices were greatest during
respiration at 6 breaths min and smallest during respiration at
15 breaths min. The significance of the effect of breathing
modes was confirmed by one-way ANOVA for repeated
measurements, with mode of breathing as a factor, performed
separately on results from pre-exercise day and exercise day
(Table 4).
Similar shortening of RRI after anaerobic effort and 1 h
after strenuous aerobic exercise
Two-way ANOVA of RRI results yielded a reliable main effect of
day, but not of type of exercise (Table 3). Post hoc analysis
revealed that RRI values measured on exercise day both after
Wingate tests and submaximal effort were significantly different
from RRI values recorded on all others day (Fig. 2). There were
no significant differences between RRI values recorded on non-
exercise day, except for RRI values measured during 15
breaths min respiration, for which first and second day values
differed significantly from each other. Analysis limited only to
pre-exercise and exercise day (Table 4) revealed that following
both types of exercise RRI was significantly shorter on exercise
day in comparison with pre-exercise day, except for 15
breaths min respiration periods before and after submaximal
exercise (Fig. 3). The shortening of RRI from pre-exercise to
exercise day was greater after Wingate tests than after
submaximal exercise, but this difference was not significant.
Frequency of breathing did not change the general pattern of
RRI response to two kinds of exercises, however, affected
generally RRI duration: RRI was longest during spontaneous
respiration, and shortest during 15 breaths min respiration
(Table 4, Fig. 3). This was different from the effect of breathing
frequency on HRV indices, which were persistently greatest at 6
breaths min. The effect of breathing modes was analysed using
Frequency (Hz)
(a) (b)
(c) (d)
0·25
Frequency (Hz)
0·25
PSD (10
5
ms
2
/Hz) PSD (10
5
ms
2
/Hz)
PSD (10
5
ms
2
/Hz) PSD (10
5
ms
2
/Hz)
Frequency (Hz)
0·25
Frequency (Hz)
0·25
Figure 4 The example of heart rate variability (HRV) spectra obtained in the same subjects (Case No 5), during respiration at controlled rate 15
breaths min in supine position. The respiratory peak is centered at 0Æ25 Hz. RF15 was calculated by integrating power spectral density in the frequency
band 0Æ23 ± 0Æ27 Hz marked by two vertical cursors. The band of 0Æ04 Hz width usually encompasses the whole respiratory peak of HRV spectrum.
Spectra (a) and (c) were calculated for pre-exercise day, spectra (b) and (d) were calculated for exercise day. The spectrum (b) shows the clear
reduction of respiratory peak observed 1 h after Wingate test as compared to pre-exercise day (a). The respiratory peak in spectrum (d) observed 1 h
after the cessation of submaximal exercise is also decreased in comparison to pre-exercise day (c); however, the attenuation is less pronounced than
that seen after Wingate test.
HRV suppression after supramaximal exertion, W. Niewiadomski et al.
2007 The Authors
Journal compilation 2007 Blackwell Publishing Ltd Clinical Physiology and Functional Imaging 27, 5, 309–319
315
one-way ANOVA for repeated measurements, with mode of
breathing as a factor, performed separately on results from pre-
exercise day and exercise day. This analysis revealed that
significant effect of breathing mode on RRI appeared only on
pre-exercise day of Wingate tests trial.
Blood pressure data provide no clues to explain the differential
effects of the two types of efforts on heart rhythm. Two-way
ANOVA revealed no significant effects on SBP and DBP of trial
day, type of exercise and no interaction of these factors. Blood
pressure, both SBP and DBP, was slightly (1–5 mmHg) and non-
significantly lower on exercise day; this attenuation was
marginally stronger after submaximal exercise. It could have
resulted in greater shortening of RRI after this kind of effort, but
we observed that RRI was longer after submaximal efforts than
after Wingate tests. Blood pressure lowering of similar magni-
tude was found at the time of recovery from submaximal exercise
(Forjaz et al., 1998; Terziotti et al., 2001; Mourot et al., 2004),
and from Wingate test (Hussain et al., 1996).
Discussion
This is, to our knowledge, the first study where heart rate
variability has been examined during the late stage of recovery
after short anaerobic exercise and compared with relevant
changes after intensive aerobic exercise.
The main findings of this study were (i) anaerobic effort in
the form of two consecutive Wingate tests was followed by
sustained, significant suppression of both high- and low-
frequency components of HRV and by sustained, significant
shortening of RRI and (ii) after aerobic exercise significant
shortening of RRI was accompanied by insignificant HRV
suppression. In the following discussion, we attempt to infer
from the observations outlined above possible changes in
autonomic activity during recovery after anaerobic effort and
after strenuous aerobic exercise.
Sustained inhibition of the postexercise vagal activity
It is postulated that vagal tone recovers promptly after exercise
cessation causing rapid HR decline and further decrease of HR is
due solely to the progressive decrease of sympathetic activity
(Perini et al., 1989; Imai et al., 1994). We argue that vagal tone
may remain inhibited at least 1 h after anaerobic exercise and
over considerable period after strenuous aerobic exercise. It is
accepted that high-frequency component of HRV, i.e. RR
interval fluctuations of frequencies above 0Æ15 Hz, is mediated
almost entirely by parasympathetic system, whereas those below
by both branches of ANS. In case of spontaneous breathing,
high-frequency component is measured as HF. HF was strongly
reduced 1 h after Wingate tests suggesting sustained inhibition
of vagal activity. Results obtained from controlled breathing
agreed with those from spontaneous breathing. Maintaining
breathing frequency above 0Æ15 Hz and at fixed rate ascertains
that well-defined peak of respiratory arrhythmia is mediated by
alteration of vagal tone only; power of this peak was measured
with RF15 index. RF15 was strongly attenuated after Wingate
tests similarly to HF, thus corroborating vagal tone suppression.
In our study, reduction of the high-frequency component 1 h
after aerobic exercise did not attain significance; however,
significant reduction of this component has been noted 45 min
(Oida et al., 1997), 30 min (Javorka et al., 2002) and 1 h
(Mourot et al., 2004) after strenuous aerobic exercise. Together,
these results implicate sustained vagal inhibition after anaerobic
and strenuous aerobic exercise.
During postexercise recovery, low-frequency component
of HRV is mediated mainly by parasympathetic system
During spontaneous breathing, LF – an index of low-frequency
component of HRV was attenuated 1 h after Wingate tests
almost as strongly as HF. In case of slow breathing, the peak of
respiratory arrhythmia was centred at 0Æ1 Hz, well below
0Æ15 Hz, thus contribution of sympathetic branch could not be
excluded. The power associated with this peak – RF6 – was
reduced after Wingate test similarly to LF, indicating dominant
role of vagal activity in mediating the respiratory arrhythmia
during slow breathing. This similarity occurred despite different
origin of LF and RF6, former being of non-respiratory origin,
latter probably arising from both respiratory and non-respirat-
ory causes and despite severalfold greater power associated with
RF6 than with LF. Also, after aerobic exercise, both low- and
high-frequency components of HRV were reduced though
insignificantly. Concomitant reduction of both components after
moderate- and high-intensity aerobic exercises was reported
(Arai et al., 1989; Furlan et al., 1993; Goldberger, 1999; Javorka
et al., 2002; Mourot et al., 2004). Our observations and those of
others are inconsistent with the notion that low-frequency
component of HRV is related to sympathetic activity. Rather,
they are consistent with the view that this component is
mediated mainly by parasympathetic system, at least during
postexercise recovery.
Rate of recovery of vagal activity after anaerobic effort
may be similar to that after heavy aerobic exercise
It is known that aerobic exercise reduces HF and LF (Arai et al.,
1989; Perini & Veicsteinas, 2003). Initial recovery of HR and
HRV is fast and independent of exercise intensity, probably
because of prompt (though incomplete as we imply) restoration
of vagal tone. After low-intensity effort recovery of HR and HRV
is complete within 5 min (Perini et al., 1990), while after
moderate- and high-intensity exercises – as already mentioned –
recovery of high- and low-HRV frequency components lasts
much longer. Our observations show that 1 h after cessation of
Wingate tests HRV was significantly reduced, thus the time
required for accomplishing recovery of vagal activity after
double Wingate test exceeds 1 h. This time is probably longer
than the time of vagal activity recovery after heavy aerobic
exercise, as 1 h after cessation of strenuous aerobic exercise
HRV was insignificantly reduced, what corresponds with data of
HRV suppression after supramaximal exertion, W. Niewiadomski et al.
2007 The Authors
Journal compilation 2007 Blackwell Publishing Ltd Clinical Physiology and Functional Imaging 27, 5, 309–319
316
Oida et al. (1997), and Javorka et al. (2002), though significant
HRV reduction lasting 1 h was noted by Furlan et al. (1993) and
Mourot et al. (2004). It seems plausible that time required for
vagal activity to normalize is related to the degree of ANS
activity alteration. If so, we could assume that alteration of
autonomic activity after Wingate tests might be as strong or
even stronger than that caused the strenuous aerobic exercise.
Normalized vagal and augmented sympathetic cardiac
nerves activity during late recovery
Persistent shortening of RRI after anaerobic effort might result
from inhibited vagal and augmented sympathetic activity. The
shortening of RRI after submaximal exercise might be caused
mainly by lasting augmentation of sympathetic activity, almost
normal vagal activity contributing only slightly. We have to
admit that it is not certain whether return of HRV to baseline
precedes that of RR interval or vice versa during postexercise
recovery. Terziotti et al. (2001) reported that, 1 h after a 20-min
lasting exercise at 80% of the individuals anaerobic threshold,
HRV was close to pre-exercise level, but RR intervals were still
significantly reduced. However, Oida et al. (1997) reported
return of RR interval to baseline, yet HF remained attenuated
45 min after a 30-min exercise at ventilatory threshold
intensity. It remains to be seen whether the recovery of HRV
and RRI after Wingate tests will follow the same course, as
found after the aerobic exercise.
The interpretation of elevated HR concomitant with normal
HRV depends on the believed way two branches of autonomic
system interact. According to Pomeranz et al. (1985) who found
that in supine position vagal blockade completely abolished
HRV whereas effects of propranolol were inconsistent and
insignificant; return of HRV to normal should be interpreted as
normalization of vagal activity. Consequently, elevated HR
evidences increased the sympathetic activity of sympathetic
cardiac nerves. The more recent findings of Taylor et al. (2001),
who found that sympathetic system attenuates HRV, are difficult
to reconcile with our findings. If HR was elevated due to
sympathetic activity, HRV should be also attenuated; if on the
other hand sympathetic activity returned to normal, then HR
had to be elevated due to reduced vagal activity and HRV should
be reduced as well.
It is possible that in the situation of late recovery we should
refrain from referring to augmented sympathetic activity. This
notation implicates generalized increase of sympathetic activity.
However, such generalization might be questionable. Halliwill
et al. (1996a) found both significantly elevated HR and plasma
noradrenaline up to 75 min after moderate-intensity dynamic
exercise. On the other hand, Halliwill et al. (1996b) found that
1 h after the same kind of exercise muscle sympathetic nerve
activity was reduced. Therefore, elevated HR should be
interpreted specifically as a sign of augmented sympathetic
cardiac nerves activity.
Two rather unexpected observations deserve short comment.
Firstly, higher breathing rates coincide with smaller amplitudes
of respiratory arrhythmia (Hirsch & Bishop, 1981; Eckberg,
1983; Saul et al., 1989; Kollai & Mizsei, 1990; Grossman et al.,
1991; Brown et al., 1993; Cooke et al., 1998). Therefore, we
expected RMSSD, the time domain index of HRV which is
strongly related to the amplitude of respiratory arrhythmia, to
be slightly smaller during spontaneous breathing, than during
15 breaths min as the average spontaneous breathing rate was
slightly higher than 15 breaths min. However, the reverse was
true. This can be explained by the effect of voluntary control of
breathing, which may attenuate respiratory arrhythmia (Pat-
wardhan et al., 1995b). The significance of this effect is
disputable because its strength may depend on complexity of
respiratory task to be performed. It was found that breathing at
fixed rate, equal to the average breathing rate during sponta-
neous respiration, which was easier than the respiratory task
described in the above-mentioned study, did not reduce
respiratory arrhythmia (Patwardhan et al., 1995a).
Secondly, in contrast to HRV, which was greatest at 6
breaths min, RRI was longest during spontaneous breathing.
The effect of breathing rate on RRI is controversial, as slowing of
breathing resulted in lengthening (Eckberg, 1983), non-
uniform changes (Kollai & Mizsei, 1990), or no alteration of
RRI at all (Eckberg, 2003). Our results are best compatible with
the observation of Patwardhan et al. (1995b), who found that
voluntary control of breathing shortened RRI.
This study demonstrates that exercise at maximal power
output causes long-lasting changes in autonomic activity in
young and healthy men. They qualified as fit, according to their
maximal oxygen consumption and peak power attained during
Wingate test (Astrand & Rodhal, 1986; Inbar et al., 1996).
Sedentary individuals are at much greater risk of cardiovascular
events, especially that induced by strenuous exercise (Bartels
et al., 1997), and a role of the ANS in precipitating the outcome
of these events may be significant (Schwartz et al., 1992;
Schwartz, 1998; Adamson & Vanoli, 2001). Thus, our findings
might be of considerable significance for this population. We
hypothesize that prolonged disturbance of autonomic activity,
similar to that we observed after Wingate tests, might follow
resistance exercises. Resistance exercises are anaerobic, and they
also strongly activate SNS (Hurley et al., 1984). If this hypothesis
turns true, observations presented here might be of importance
for elderly, as resistance exercises are strongly recommended for
preventing the age-related loss of mass and strength of skeletal
muscles (Evans, 1999).
In conclusion, the main findings of this study were the
persistent suppression of high- and low-HRV frequency
components accompanied by significant shortening of RRI after
short anaerobic effort, insignificantly suppressed HRV accom-
panied by significant shortening of RRI after strenuous aerobic
exercise. This suggests that (i) sustained inhibition of the vagal
activity following anaerobic exertion, (ii) dominant role of
parasympathetic system in mediating suppression of the high-
and low-HRV frequency components during postexercise
recovery, (iii) similar degree of alteration of ANS activity
caused by anaerobic and strenuous aerobic exercise, (iv)
HRV suppression after supramaximal exertion, W. Niewiadomski et al.
2007 The Authors
Journal compilation 2007 Blackwell Publishing Ltd Clinical Physiology and Functional Imaging 27, 5, 309–319
317
normalization of vagal activity preceding normalization of
sympathetic cardiac nerves activity during final stage of
postexercise recovery.
Acknowledgments
We thank Profs Krystyna Nazar and Hanna Kaciuba-Us
´ciłko
for their encouragement and help carry out this study, and for
reviewing earlier drafts of this manuscript, and Dr G. Riedel for
careful review of its present version.
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... An a priori, two-tailed power calculation at an alpha of 0.05 and a power of 80%, carried out based on a previous study comparing HRV responses in 30-s all-out sprint-interval session and control session, 22 suggested that a minimum of 15 participants were required in this study. Accordingly, 15 young male participants (Table 1), who were non-athletes but occasionally participating in recreational sports activities such as basketball or badminton, volunteered to participate in the study. ...
... 29 Indeed, a decrease in LF during exercise was frequently reported in previous studies. 22,30,31 Within 2 h after the SIE 2 and SIE 4 protocols, the declined HRV restored progressively (Figs. 1 and 2). In agreement with the previous notion that exercise intensity, in comparison to other exercise variables, such as duration and modality, dominates the HRV attenuation during acute exercise as well as subsequent recovery, 7 the declined HRV of each time point during the recovery were not significant different between the two trials despite of double of exercise bouts performed in SIE 4 . ...
... Our current data of HRV recovery following the SIE 2 and SIE 4 are in accordance with the previous findings that the time required for accomplishing recovery of suppressed cardiac vagal activity following two consecutive Wingate tests exceeded an hour. 22 Further, based on our nocturnal HRV data ( Figs. 1 and 2), we found that the suppression of cardiac parasympathetic activity induced by the two SIE protocols were fully restored within a resting period of approximately 10 h after the cessation of the exercise (the duration between the exercise cessation and the end of the nocturnal HRV measurements). However, it has been reported that restoration of vagal activity precedes normalization of sympathetic cardiac nerves activity during later stage of post-exercise recovery. ...
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Objectives This study examined the influences of the volume of all-out sprint-interval exercise (SIE) on acute post-exercise heart rate variability (HRV) recovery. Methods HRV recovery following a session of (i) 2 × 30-s SIE (SIE2), (ii) 4 × 30-s SIE (SIE4), and (iii) non-exercising control (CON) were compared in 15 untrained young males. Time domain [standard deviation of normal-to-normal intervals, root mean square of successive R-R differences] and frequency domain [low frequency (0.04–0.14 Hz), high frequency (0.15–0.40 Hz)] measures of HRV were assessed every 20 min for 140 min after the exercise, and every hour during the first 4 h of actual sleep time at immediate night. All trials were scheduled at 19:00. Results In comparison to CON, both SIE2 and SIE4 attenuated the HRV markedly (p < 0.05), while the declined HRV restored progressively during recovery. Although the sprint repetitions of SIE4 was twice as that of SIE2, the declined HRV indices at corresponding time points during recovery were not different between the two trials (p > 0.05). Nevertheless, the post-exercise HRV restoration in SIE2 appeared to be faster than that in SIE4. Regardless, nocturnal HRV measured within 10 h following the exercise was not different among the SIE and CON trials (p > 0.05). Conclusion Such findings suggest that the exercise volume of the SIE protocol may be a factor affecting the rate of removal of the cardiac autonomic disturbance following the exercise. In addition, rest for ∼10 h following either session of the SIE protocol appears to be appropriate for the cardiovascular system to recover.
... The model of autonomic control of HR in humans during dynamic exercise indicates that the rise in HR is largely because of rapid withdrawal of parasympathetic activity as well as increase in sympathetic tone (3). The initial exponential drop in HR is a result of rapid restoration of vagal tone after cessation of exercise (4), whereas the further decrease in HR is attributed to the progressive weakening of the sympathetic influence (5). The physiological implication of this response makes HR recovery kinetics a convenient tool for both clinicians (e.g., clinical exercise physiologists) and sports scientists. ...
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Background We aimed to compare the effects of 3 different upright seated recovery protocols on heart rate recovery (HRR) after a submaximal ergometer exercise. Methods The study included 30 young adult volunteers (15 men and 15 women). Participants performed a submaximal cycle exercise test at a constant workload of 60 Watts until a steady HR was achieved. This was followed by 5 min of: (a) inactive, (b) active loadless, and (c) passive recovery protocols. The HRR was assessed as the difference between the peak exercise HR and the HR recorded following 1 min of recovery and as the percentage HR decline after 1 min postexercise. Abnormal HRR was defined as a reduction of 1-min HRR ≤12 b · min−1 or ≤15 b · min−1 or ≤18 b · min−1. Results In both sexes, HRR was faster during inactive recovery compared with active recovery. In males, HRR was faster during inactive recovery compared with passive recovery protocol. In females, HRR was faster during passive recovery compared with active recovery protocol. The prevalence of impaired HRR was greater in the active recovery compared with the passive and inactive recovery protocols in both sexes. Conclusion The present findings suggest that in both sexes, the postexercise HRR was mediated by a combined action of the central command and other inputs or stimuli arising from skeletal muscle activities. In addition, the active recovery protocol resulted to a slower HRR and elicited more abnormal postexercise HR responses compared with the other recovery protocols.
... Hz frequency band) and low-frequency component (LFC; 0.04-0.15 Hz frequency band) [8]. The HFC reflects the cardiac parasympathetic nervous tone [9,10]. ...
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Exercise therapy at the aerobic level is highly recommended to improve clinical outcomes in patients with heart failure, in which cardiopulmonary exercise testing (CPX) is required to determine anaerobic thresholds (ATs) but is not available everywhere. This study aimed to validate a method to estimate the AT using heart rate variability (HRV) analysis from electrocardiography data in patients with heart failure. Between 2014 and 2019, 67 patients with symptomatic heart failure underwent CPXs in a single university hospital. During the CPX, RR intervals was measured continuously and the HRV threshold (HRVT), defined as the inflection point of <5 ms2 of a high-frequency component (HFC) using the power spectrum analysis, was determined. Patients were divided into two groups according to the mean HFC at rest (high-HFC group, n = 34 and low-HFC group, n = 33). The high-HFC group showed good correlation between the VO2 at AT and HRVT (r = 0.63, p < 0.001) and strong agreement (mean difference, −0.38 mL/kg, p = 0.571). The low-HFC group also showed modest correlation (r = 0.41, p = 0.017) but poor agreement (mean differences, 3.75 mL/kg, p < 0.001). In conclusion, the HRVT obtained from electrocardiography may be a useful indicator for estimating AT in patients with heart failure.
... However, given the small number of SIT interventions available for analysis in those reviews, it can be concluded that the post-exercise HRV recovery has not been rigorously investigated throughout the whole intensity spectrum. For example, in the studies included for analysis by Stanley et al. (2013), only Niewiadomski et al. (2007) conducted a Wingate-based intervention and the results do not show a great disturbance the day after performing two consecutive 30 s sprints. Additionally, only three out of eight studies, assessed HRV at 24 h and 48 h after the intervention. ...
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Background Recovery is a key factor to promote adaptations and enhance performance. Sprint Interval Training (SIT) is known to be an effective approach to improve overall physical function and health. Although a 2-day rest period is given between SIT sessions, the time-course of recovery after SIT is unknown. Purpose The aim of this study was to determine whether the neuromuscular and autonomic nervous systems would be impaired 24 and 48 h after an SIT session. Methods Twenty-five healthy subjects performed an 8 × 15 s all-out session on a braked cycle ergometer with 2 min of rest between repetitions. Isometric maximal voluntary contraction (iMVC) and evoked forces to electrical nerve stimulation during iMVC and at rest were used to assess muscle contractile properties and voluntary activation before (Pre), 1 (Post24h), and 2 (Post48h) days after the session. Two maximal 7 s sprints with two different loads were performed at those same time-points to evaluate the maximal theoretical force (F0), velocity (V0) and maximal power (Pmax) production during a dynamic exercise. Additionally, nocturnal heart rate variability (HRV) was assessed the previous and the three subsequent nights to the exercise bout. Results No significant impairments were observed for the iMVC or for the force evoked by electrical stimulation 1 day after the session. Similarly, F0, V0, and Pmax were unchanged at Post24h and Post48h. Furthermore, HRV did not reveal any temporal or frequential significant difference the nights following SIT compared to Pre. Conclusion The results of this study show a full recovery of neuromuscular and autonomic functions a day after an all-out SIT session.
... All participants exhibited significant decreases in all frequency domain and time domain measures of HRV, which reflect the relative contributions of the autonomic nervous system branches, following repeated bouts of steep ramp supramaximal test compared to baseline. The decrease in time domain measures at 20 min following repeated bouts of supramaximal exercise was in agreement with previous research on the recovery timeline following acute supramaximal exercise [58]. Sympathovagal balance, indicated by LF/HF, was significantly increased following repeated exercise bouts compared to baseline and is consistent with previous studies that have shown temporal alterations in HRV and sympathovagal balance following high-intensity aerobic and supramaximal exercise [19,41,44]. ...
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Despite the growing popularity of high-intensity anaerobic exercise, little is known about the acute effects of this form of exercise on cardiovascular hemodynamics or autonomic modulation, which might provide insight into the individual assessment of responses to training load. The purpose of this study was to compare blood pressure and autonomic recovery following repeated bouts of acute supramaximal exercise in Black and White women. A convenience sample of twelve White and eight Black young, healthy women were recruited for this study and completed two consecutive bouts of supramaximal exercise on the cycle ergometer with 30 min of recovery in between. Brachial and central aortic blood pressures were assessed by tonometry (SphygmoCor Xcel) at rest and 15-min and 30-min following each exercise bout. Central aortic blood pressure was estimated using brachial pressure waveforms and customized software. Autonomic modulation was measured in a subset of ten participants by heart-rate variability and baroreflex sensitivity. Brachial mean arterial pressure and diastolic blood pressure were significantly higher in Blacks compared to Whites across time (race effect, p = 0.043 and p = 0.049, respectively). Very-low-frequency and low-frequency bands of heart rate variability, which are associated with sympathovagal balance and vasomotor tone, were 22.5% and 24.9% lower, respectively, in Blacks compared to Whites (race effect, p = 0.045 and p = 0.006, respectively). In conclusion, the preliminary findings of racial differences in blood pressure and autonomic recovery following supramaximal exercise warrant further investigations of tailored exercise prescriptions for Blacks and Whites.
... Thus, parasympathetic activity gradually resumes predominance in cardiac modulation in a coordinated manner. Studies applying HIIT protocols (treadmill and bicycle) with intensities between 85 and 97%HRmax have shown that the reduction in HRV can persist up to 24 h after cessation of exercise (Burma et al., 2020;Schaun and Del Vecchio 2018;Cipryan et al., 2016;Kaikkonen et al., 2008;Buchheit et al., 2007;Niewiadomski et al., 2007;Seiler et al., 2007;Furlan et al., 1993). In this study, the same behavior was observed up to 30 min post-exercise in the first two phases of the program (between the 3rd and 8th week).The parasympathetic indices lnRMSSD and HFnu (Araújo et al., 2020;Dupuy et al., 2012) demonstrated a reduction concerning the pre-exercise values and, conversely, the indices LFnu and lnLF/HF (sympathetic predominance) (Task Force 1996) increased significantly. ...
... Therefore, it has been postulated that cardiac parasympathetic activity (in the form of HF HRV) is a good marker of cardiovascular recovery from exercise (Stanley et al. 2013). Additionally, decreased sympathetic tone, which is associated with general arousal, is thought to occur in the final stages of post-exercise recovery (Niewiadomski et al. 2007). We indexed sympathetic tone by changes in skin conductance responses (SCR), (Soliven et al. 1987;Bach et al. 2010). ...
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PurposeIn sports requiring multiple short bouts of high-intensity exertion, recovery while off the field is an important part of being an effective competitive athlete. This study investigated the potential of vibroacoustic stimulation to aid recovery from athletic stress.Methods University of Pittsburgh club and varsity athletes (n = 22) pedaled on a stationary bike strenuously, followed by a period of recovery accompanied by vibration using a wearable transducer. Subjective and physiological (skin conductance responses and cardiac measures) were used to determine the extent of recovery with frontal electroencephalographic (alpha/theta) measures indexing brain reactivity.ResultsVibrations rated as the most calming by each participant were associated with increased high-frequency heart-rate variability, representing parasympathetic tone, particularly in athletes most affected by pedaling. Yet, EEG markers, while related to subjective recovery, were not associated with physiological change.Conclusion This work provides support for the idea that vibration, which is subjectively rated as calming, could affect physiological recovery from physical stressors, at least for those individuals whose physiology is affected by exertion. This is likely through direct effects on physiology rather than “top down” effects on the brain.
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Biosystems are extremely myriad natural systems of great diversity. All biosystems are extremely complex, i.e. highly organized, polyphasic and store enormous amounts of information.
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Bu araştırmanın amacı anaerobik eşik (AE) ve anaerobik gücün (AG) kalp-atım-hızı-değişkenliği (KAHD) açısından test-öncesi, test-sırası ve sonrası değerlerle değişimi arasındaki farklılığın ve AE ile AG’nin KAHD parametreleri arasındaki ilişkinin incelenmesidir. 25 sağlıklı erkek gönüllü olarak araştırmaya katıldı (Ort. yaş=24±0,9 yıl; boy=177,5±6,2 cm; ağırlık=80,4±8,3 kg). İlk gün boy, ağırlık ve vücut kompozisyonu ölçümü yapıldı. Wingate anaerobik kapasite testi uygulandı. Test-öncesinde (30 saniye), test-sırasında (30 saniye) ve test-sonrasında (30 saniye) KAHD için kayıt alındı. İkinci gün kardiyo-pulmoner egzersiz testi Bruce protokolü uygulandı. Test başlamadan önce (30 saniye), test süresince ve test bitiminde (30 saniye) KAHD kaydı alındı. Ön-test, test ve son-test için katılımcıların KAHD parametrelerini karşılaştırmak için tekrarlanan varyans analizi (ANOVA) kullanıldı. Grup içi karşılaştırmalar Bonferroni testi ile belirlendi. AE ile AG ilişkisi için Pearson korelasyon katsayısı belirlendi. Araştırma verilerinin analizi sonucunda AE ve AG için MeanRR için test-öncesi, test-sırası ve sonrasında anlamlıdır (p<0,001). SDNN için değişim AG ölçümünde test-sırası, test-sonrası (p<0,05) ve test-öncesi, test-sonrası (p<0,01), RMSSD için ise sadece AE bölgesinde test-öncesi, test sırası ve test-öncesi, test-sonrası arasında anlamlıdır (p<0,001). LFnu (p<0,05) ve HFnu (p<0,01) için test-öncesi ile test-sırası arasında anlamlı değişim görülmüştür. AE ile AG arasında ise KAHD parametrelerinden sadece LF/HF için anlamlı pozitif ilişki söz konusudur. Bu araştırma sonuçlarına göre AE ile AG için KAHD test-öncesinden başlayarak test-sırasında ve test-sonrasında artarak düşmeye devam etmekte olup test-sonrasında toparlanma sağlanamamaktadır. AE ile AG arasında KAHD değişimleri arasındaki ilişki sadece LF/HF için pozitif yönde anlamlıdır. AE ile AG, KAHD parametrelerinin düşüşü açısından benzerlik gösterse de tam olarak birbiriyle ilişkili olduğu söylenemez.
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Spectral analysis of spontaneous heart rate fluctuations were assessed by use of autonomic blocking agents and changes in posture. Low-frequency fluctuations (below 0.12 Hz) in the supine position are mediated entirely by the parasympathetic nervous system. On standing, the low-frequency fluctuations increase and are jointly mediated by the sympathetic and parasympathetic nervous systems. High-frequency fluctuations, at the respiratory frequency, are decreased by standing and are mediated solely by the parasympathetic system. Heart rate spectral analysis is a powerful noninvasive tool for quantifying autonomic nervous system activity.
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Often exercise intensities are defined as percentages of maximal oxygen uptake ((V) over dot O-2max) or heart rate (HRmax). Purpose: The purpose of this investigation was to test the applicability of these criteria in comparison with the individual anaerobic threshold. Methods: One progressive cycling test to exhaustion (initial stage 100 W. increment 50 W every 3 min) was analyzed in a group of 36 male cyclists and triathletes (24.9 +/- 5.5 yr; 71.6 +/- 5.7 kg; W. increment 50 W every 3 min) was analyzed in a group of 36 male cyclists and triathletes (24.9 +/- 5.5 yr; 71.6 +/- 5.7 kg; (V) over dot O-2max; 62.2 +/- 5.0 mL.min(-1).kg(-1); individual anaerobic threshold = IAT: 3.64 +/- 0.41 W.kg(-1); HRmax: 188 +/- 8 min). Power output and lactate concentrations for 60 and 75% of (V) over dot O-2max as well as for 70 and 85% of HRmax were related to the IAT. Results: There was no significant difference between the mean value of WT (261 +/- 34 W, 2.92 +/- 0.65 mmol.L-1), 75% of (V) over dot O-2max (257 +/- 24 W, 2.84 +/- 0.92 mmol.L-1), and 85% of HRmax (259 +/- 30 W, 2.98 +/- 0.87 mmol.L-1). However, the percentages of the IAT ranged between 86 and 118% for 75% (V) over dot O-2max and 87 and 116% for 85% HRmax (corresponding lactate concentrations: 1.41-4.57 mmol.L-1 and 1.25-4.93 mmol.L-1, respectively). The mean values at 60% of (V) over dot O-2max (198 +/- 19 W, 1.55 +/- 0.67 mmol.L-1) and 70% of HRmax (180 +/- 27 W, 1.45 +/- 0.57 mmol.L-1) differed significantly (P < 0.0001) from the WT and represented a wide range of intensities (66-91% and 53-85% of the IAT, 0.70-3.16 and 0.70-2.91 mmol.L-1, respectively). Conclusions: In a moderately to highly endurance-trained group, the percentages of (V) over dot O-2max and HRmax vary considerably in relation to the IAT. As most physiological responses to exercise are intensity dependent, reliance on these parameters alone without considering the IAT is not sufficient.
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Despite anecdotal evidence suggesting that heavy physical exertion can trigger the onset of acute myocardial infarction, there have been no controlled studies of the risk of myocardial infarction during and after heavy exertion, the length of time between heavy exertion and the onset of symptoms (induction time), and whether the risk can be modified by regular physical exertion. To address these questions, we collected data from patients with confirmed myocardial infarction on their activities one hour before the onset of myocardial infarction and during control periods. Interviews with 1228 patients conducted an average of four days after myocardial infarction provided data on their usual annual frequency of physical activity and the time, type, and intensity of physical exertion in the 26 hours before the onset of myocardial infarction. We compared the observed frequency of heavy exertion (6 or more metabolic equivalents) with the expected values using two types of self-matched analyses based on a new case-crossover study design. The low frequency of heavy exertion during the control periods was validated by data from a population-based control group of 218 subjects. Of the patients, 4.4 percent reported heavy exertion within one hour before the onset of myocardial infarction. The estimated relative risk of myocardial infarction in the hour after heavy physical exertion, as compared with less strenuous physical exertion or none, was 5.9 (95 percent confidence interval, 4.6 to 7.7), Among people who usually exercised less than one, one to two, three to four, or five or more times per week, the respective relative risks were 107 (95 percent confidence interval, 67 to 171), 19.4 (9.9 to 38.1), 8.6 (3.6 to 20.5), and 2.4 (1.5 to 3.7). Thus, increasing levels of habitual physical activity were associated with progressively lower relative risks. The induction time from heavy exertion to the onset of myocardial infarction was less than one hour, and symptoms usually began during the activity. Heavy physical exertion can trigger the onset of acute myocardial infarction, particularly in people who are habitually sedentary. Improved understanding of the mechanisms by which heavy physical exertion triggers the onset of myocardial infarction and the manner in which regular exertion protects against it would facilitate the design of new preventive approaches.
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OBJECTIVES Using a model of arrhythmias associated with ischemic left ventricular (LV) dysfunction, this study investigated autonomic and electrophysiologic mechanisms associated with sudden cardiac death (SCD) in chronic heart failure (HF).BACKGROUND Left ventricular dysfunction from ischemic heart disease is associated with many instances of SCD. Electrophysiologic and autonomic derangements occur in HF, but their contribution to SCD risk is poorly understood.METHODS Sudden death risk was assessed in 15 dogs with a healed anterior myocardial infarction (MI) during submaximal exercise and brief acute circumflex ischemia. Left ventricular dysfunction was then induced by repetitive circumflex microembolization until LV ejection fraction reached 35%. Before embolization, six dogs were susceptible to SCD, and nine were resistant.RESULTSBaroreflex sensitivity was lower in susceptible dogs (10 ms/mm Hg ± 4 ms/mm Hg vs. 20 ms/mm Hg ± 11 ms/mm Hg, p = 0.04). QT intervals from susceptible dogs were longer after MI (246 ms ± 26 ms susceptible vs. 231 ms ± 20 ms resistant, p CONCLUSIONS Depressed vagal and elevated sympathetic control of heart rate coupled with abnormal repolarization are associated with high SCD risk when post-MI LV dysfunction develops.