Autonomic support of endurance, strength and speed performance in athletes

Вивчення вегетативного забезпечення м’язової діяльності у спортсменів дає можливість оцінити внесок вегетативної нервової системи в досягнення високих спортивних результатів у різні вікові періоди, виявити закономірності взаємодії відділів вегетативної нервової системи у процесі короткотривалої та довготривалої адаптації до м’язових навантажень, встановити особливості вегетативної регуляції серцево-судинної системи у спортсменів, які тренують різні фізичні якості.

Examining the autonomic support of muscular activity in athletes enables an assessment of the ANS impact on achieving a high-level of sports performance at different ages, an identification of interaction patterns between the ANS divisions in the process of short-term and longterm adaptation to muscular load, identifying the features of the cardiovascular system autonomic regulation in athletes training different physical performance [9].
There are specific features of autonomic support in athletes with different modes of the training session, aerobic or speed-strength exercises, indicating a presence of specific "autonomic portraits" for certain sports. This characteristic should be taken into account when managing the training session and evaluating results in athletes, emphasizing not only the initial parameters, but also the autonomic response pattern, which determines the value of physiological activity in respect of proposed load [13].
However, there is an opposing opinion that the process of adaptation to muscular activity is determined not by sports specialization, but rather links to particular type of autonomic regulation [8].
A violation of autonomic regulation is also one of the causes of cardiovascular system pathology and sudden cardiac death in athletes [9] presenting an important challenge to examine changes in the autonomic regulation of the cardiovascular system and the energy supply of muscular activity in the process of adaptation to exercise in endurance-, strength-, and speed-trained athletes as well as determining the urgency of this issue.

Aim
To examine HRV changes in athletes depending on the training session mode.

Material and methods
After signing an informed consent, 104 athletes (84 men and 20 women) were enrolled in the study: 63 -endurance-trained athletes, 31 -strength-trained and 10speed-trained athletes. The mean age of the athletes was 21.75 ± 3.32 years. Among them, there were Masters of Sports of International Class (MSIC) -2 athletes, Masters of Sports (MS) -25, Candidates Master of Sports (CMS) -48, First-Class athletes -29.
The study was performed on the device "Cardio+" (NPP "Metekol", Nizhyn). Mathematical methods of HRV analysis were used to analyze the autonomic regulation of the cardiac activity. The following parameters were evaluated: heart rate (HR), mean cardiocycle duration (mean, ms), mode (Mo, ms), amplitude mode (Amo,%), variational range (X, s) and its analogue -triangular interpolation of NN intervals (TINN), triangular index (HRV triangular index), standard deviation of all 5-min average NN intervals (SDANN, ms), standard deviation of NN interval (SDNN, ms), square root of mean of the sum of squares of successive NN interval differences (RMSSD, ms), the number of successive NN interval differing by >50 ms divided by the total number of successive NN intervals (pNN50, mc), the coefficient of variation CVr,% -SDNN normalized to the average rhythm value, the coefficients of asymmetry (As) and kurtosis of the distribution (E). A number of derived indicators were calculated: autonomic equilibrium index (AEI = Amo/X,%/s), autonomic rhythm index (ARI, 1/s 2 ), regulatory process stability index (RPSI,%/s), stress index (SI, r. u.). Analysis and evaluation of HR frequency components was performed by assessing the spectral indicators of autocorrelation functions: total power spectrum (TP, ms 2 ), very low frequency power (VLF, ms 2 ), low (LF, ms 2 ) and high (HF, ms 2 ) frequency power, LF and HF in normalized units (LFn, %, HFn, %), the ratio of LF/HF (r. u.).
Statistical processing of the study results was performed using the software package Statistica for Windows 13 (StatSoft Inc., № JPZ804I382130ARCN10-J). The Shapiro-Wilk test was used to determine the normality of quantitative indicators distribution. Quantitative indicators were presented in the form of arithmetic mean and standard deviation, as well as medians and indicators of the 25 th and 75 th percentiles based on the normality of the data distribution. Comparison of quantitative indicators in independent groups was determined by the method of parametric statistics using the two-sample Student's t-test with a two-sided test index for a statistical significance value and by the method of nonparametric statistics using the Mann-Whitney U-test. The differences were considered statistically significant at a level of P < 0.05.
Apart from that, the endurance athletes showed significantly higher indicators of cardiac interval duration that was more frequently found in the given dynamic series (Mo) (954 (860; 1103) vs. 868 (798; 954) ms) by 9.0 % (P = 0.004) when compared with the strength-trained athletes.
The endurance-trained athlete also tended to prevail in relation to RMSSD, P = 0.066; SDNN, P = 0.093, and SDANN, P = 0.063, over these indicators in the strength athletes.
Thus, the endurance athletes differed by higher parasympathetic tone of the ANS from the strength athletes, as evidenced by a significantly lower HR by 11.4 %, prolonged RR interval by 11.7 % and larger Mo value by 9.0 %.
Analysis of HRV between the endurance and speed athletes ( Table 2)  There was no statistically significant difference between other HRV indicators in the endurance and speed athletes.
So, the endurance and speed athletes did not differ in all the frequency domain parameters and most of the time domain parameters of HRV, except for SDNN, RMSSD, SDANN and Mo.
Comparison of HRV parameters between the strength and speed athletes ( Table 3) showed, that the strength athletes were more likely to have a significantly higher HR by 8.8 % (P = 0.042), (68.00 ± 7.72 vs. 62.00 ± 7.14 bpm).
Thus, the speed-trained athletes and endurance-trained athletes differed from the strength-trained athletes by a higher parasympathetic tone as evidenced by a significantly lower HR by 8.8 % (P = 0.042), prolonged RR interval by 9.5 % (P = 0.046), higher values of SDNN by 9.

Discussion
Physiological parameters of autonomic cardiac regulation are objective criteria for assessing the functional state, adaptive and reserve capabilities, and fitness level in athletes [11].
The state of the organism can be described by three parameters: the level of a system functioning, the functional reserve, the degree of tension in regulatory mechanisms. Mathematically, the level of functioning in the organism, or the level of adaptation as a system, is determined by the Mo value. Mo is the value that appears most often in a set of 100-200 cardiac intervals studied. It characterizes the activity of the endocrine regulatory "channel". Amo reflects the sympathetic activity, and the cardiac intervals variability -the parasympathetic arm of the ANS activity. The resting HR is closely related to the Mo -the higher the Mo value, the lower is the resting HR. With increasing in training status from stage to stage, the Mo value increases and the resting HR decreases [2].
In our study, the endurance and speed athletes had significantly higher Mo values than the strength athletes. The data obtained indicated suppression of sympathetic activity of the ANS, decreased activity of the subcortical centers, confirming the high efficiency of autonomous regulation and the absence of centralization function control in the endurance-trained athletes and suggesting a high level of physical training in these athletes.
According to F. A. Iordanskaya, systematic training mediates reconstruction of the HR regulatory mechanisms, improving the quality of vascular tone regulation, increasing the efficiency and effectiveness of the system at rest and during exercise [5].
Parameters of HRV also reflect the reserves of the cardiovascular system adaptive reorganization. HRV allows determining the state of autonomic homeostasis based on the degree of predominant activity of the sympathetic arm of the ANS and assessing the tension of regulatory systems by the activity level of the subcortical nerve centers. Measurement of the parameters can be performed both at the initial state of rest and during exercise or recovery period. Welltrained athletes demonstrated increased vagus nerve tone and reduced activity of the subcortical centers at rest, which points to a high efficiency of autonomous regulation and the absence of centralization function control. The ampli- tude of LF HR oscillation increased while the amplitude of respiratory oscillation reduced as an athlete's training status decreased. This is indicative of the subcortical nerve centers activation, strengthened centralization function control and increased tension of the regulatory mechanisms. The amplitude of HF HR oscillation increased and the amplitude of LF component decreased when the tension of adaptive processes decreased [2]. The literature data show the profiles of autonomic HR support in athletes depending on a biological type (sprinter-stayer) and sports qualification as well as on the mode of the training session and athletic discipline.
Kudrya O. M. reported improvements in the training status accompanied by elevated cholinergic effects on HR and changes in bio-energetics (increased oxidative and anaerobic-glycolytic capacity of the body) in representatives of cyclic (short-track) and team sports (handball) during the annual cycle. A decrease in performance was associated with increased centralization of HR control at rest and decreased functional activity of the sympathetic arm of the ANS when performing functional tests [9].
As shown by F. A. Iordanskaya, the parasympathetic type of the cardiovascular system autonomic regulation is prevailing in the process of long-term adaptation in elite rowers that follows from bradycardia at rest in the supine position (HR 60 to 40 bpm) and autonomic index more than 11 units, or normotony (autonomic index ±10 units) [6].
The spectral analysis of the slow-wave component revealed differences in the mechanisms of cardiovascular system regulation in swimmers during the preparatory and competitive periods. The sprinter swimmers exhibited the central mechanisms predominance, namely suprasegmental level (VLF) and sympathetic arm of the ANS (LF), while the stayer swimmers appeared to have predominantly HF component in the cardiac rhythm regulation [4,15].
In order to clarify the differences between the autonomic support of heart rhythm in endurance-trained and speedstrength-trained athletes, O. M. Kudrya examined 69 elite athletes at the pre-competition period. The first group included 30 athletes, who trained mainly aerobic endurance performance (track and field, cycling and swimming). The second group consisted of 39 individuals focused on the speed and power component (ball hockey, boxing, tennis). There were no significant differences in the percentage of spectrum components and physical performance according to the PWC 170 test results between the groups at baseline. However, the absolute values of HF power were significantly higher in endurance-trained athletes. Noticeable differences between the two groups were found after exposure to submaximal load PWC 170 . The author underlined the "economic" type of response, typical for the 1st group athletes with a smaller increment in HR after exercise, almost unchanged values of SI, total power spectrum and its constituent components, except for a significant reduction in VLF values (i.e. a reduction in the share of the central control loop influence). This type of autonomic response was accompanied by a rapid recovery of HR after exercise. A type of response to the submaximal load can be characterized as more demanding in speed and endurance athletes in terms of the energy metabolism, when the functional system must be put into functioning immediately. Athletes of this group showed a noticeable increase in HR and SI, significantly lower rate of pulse recovery after the test, there was a decrease in autonomic reacti vity in all the frequency spectrums, and structural analysis demonstrated a clear increase in control centralization with increasing vector VLF % and regressive vector HF % after muscle loading. In this case, the cost of physical activity was higher in the 2nd group of athletes, than that in the aerobic endurance athletes [9].
Mykhaliuk Ye. L. and co-authors showed a significant difference in autonomic support depending on the sport class of swimmers. It has been proved, that the MS-MSIC swimmers, unlike the CMS-First-Class swimmers, were significantly older, had a greater experience in swimming, and body length and weight as well as relative physical performance, lower HR; they tended to have predominantly hypokinetic type of blood circulation, and there were mainly athletes with vagotonia among them [18].
Changes in HRV in sprinters, obtained by M. V. Didenko and co-authors, testify to the parasympathetic arm of the ANS prevalence associated with hypokinetic type of blood circulation and a greater physical performance. The researchers linked these changes to the specifics of physical activity in short-distance runners -the work of maximum intensity (80-90 % from a maximum) and minimum duration (5-20 seconds) provided by the creatine phosphate system. The training session performed was accompanied by increased HR and placed heavy demands on the cardiovascular system state in the sprinters. Such physical activity is often the cause of an athlete's adaptive potential depletion and maladaptation affecting the autonomic support of heart rhythm, central hemodynamics, as well as physical performance [3].

Original research
We obtained unidirectional shifts in autonomic balance towards increased parasympathetic effects in the endurance-and speed-trained athletes compared with the strength-trained athletes, as evidenced by the predominance of RMSSD, SDANN, Mo, RR interval duration and significantly lower resting HR that is consistent with the previous literature.
In the opinion of V. V. Erlikh, competition load in weightlifting does not cause maximum increases in HR and stroke volume. Baseline values of resting HR exceed these indicators in cyclic athletes. Weightlifters do not have bradycardia, but on the contrary, show hypertensive reactions of blood pressure, HR, especially in heavyweight athletes [16].
According to O. V. Calabin, HRV parameters (SDNN, rMSSD, pNN50, TP, HF) in powerlifters were significantly lower, but LF/HF were higher than those in healthy untrained people, indicating increased sympathetic effects and centralized HR control. Differential characteristic of HR in elite athletes were: reduced HRV (low values of rMSSD, pNN50) with a predominance of sympathetic activity in the autonomic balance (high values of Amo, SI), as well as a significant decrease in spectral power within all the frequency ranges as compared to competitive athletes [7].
The results of our study have demonstrated no significant differences in spectral HRV parameters in the strength and endurance/speed athletes. Meanwhile, the strength athletes had the highest HR at rest and the lowest Mo value, which indicated the predominant activity of the sympathetic arm of the ANS.
Lingard's phenomenon should also be taken into account when assessing the HRV in the strength athletesautonomic support of static activity is characterized by delayed autonomic shifts with the maximum in the first minutes of the recovery period rather than in isometric exercise [1].
Today, there is convincing evidence about HRV parameters changes mediated by regular physical activity depending on height, age, sex, baseline state of the autonomic balance, psychophysiological status in athletes.
So, O. M. Kudrya has revealed the features of the cardiac activity autonomic support depending on anthropometric profiles in team-sport athletes aged 15-16 years. Regulatory mechanisms tension at rest has been found in tall young males as well as a decrease in the sympathetic arm of the ANS functioning during an active orthostatic test in athletes of both sexes. The urgent adaptation of the cardiovascular system to external factors in tall athletes, in the author's opinion, was associated with suprasegmental effects of the ANS and sympathetic hyperactivity enabling ineffective adaptation [10].
In a study [14] of the relationship between the autonomic regulation type and psychophysiological characteristics, a total of 77 male wrestling athletes aged 18-21 years were enrolled. The authors have found the following relationships: 1) athletes-vagotonics were characterized mainly by choleric temperament, moderate extraversion, unstable multidirectional emotional resilience, medium-level of state and trait anxiety; 2) eutonic athletes were characterized by sanguine temperament, moderate extraversion, medium emotional resilience and mood swings in equal measure (50 %/50 %), medium-level of state and trait anxiety; 3) sympathicotonic athletes were characterized by a strong type of nervous system (67 % choleric and 33 % sanguine), moderate extroversion, high-level of state and trait anxiety.
The researchers hypothesized, that in the eutonic group with the lowest number of correlations between indicators, the functional system was more stable and less vulnerable to environmental influences. In the groups with a large number of correlations (sympathicotonics, vagotonics), the functional system was in the process of stability adjustment, the relationships were more likely to be affected by environmental factors and plastic. Thus, the greater number of correlations reflected an insufficient maturity of functional systems attuning of new links to support the activity [14].
Iordanskaya F. A. and co-authors have found an association between the level of orthostatic autonomic stability and both a higher stature and in-game role in volleyball players as well as between the effect of speed-strength load on blood pressure and ECG indicators and both age and sex parameters in rowers. An assessment of the response to orthostasis being compared to the criteria for elite athletes allowed researchers to diagnose reduced indicators and low orthostatic stability in individual athletes, which pointed to symptoms of the cardiovascular system maladaptation. The presence of maladaptation symptoms related to an athletic performance has been confirmed when compared with results of exercise tests. The authors concluded, that reduced and low levels of the ANS response to orthostasis (tachycardia ΔHR +36 bpm and more, symptoms of myocardial repolarization violation, signs of the left ventricle systolic overload, prolonged QT, hypertension, extrasystole) should be considered as early signs of the cardiovascular system overload, which necessitate urgent measures to correct training load and rehabilitation plan for athletes [5].
Age peculiarities of HRV were demonstrated in a study [9]. The author has proved that the baseline activity of the ANS arms determines the mechanisms of long-term adaptation to muscular load. A predominance of the sympathetic arm of the ANS baseline activity ensures a high level of performance in submaximal mode in child and adolescent athletes while in adult athletes, the baseline activity of the sympathetic arm seems to be limiting factor when performing physical exercise. On the contrary, the baseline predominance of the parasympathetic arm of the ANS activity reduces the level of physical performance in the submaximal mode in young athletes, but vagotonics develop increased body adaptation and exercise capacity with increasing age and sports experience [9].
It has been proved that the character of changes in the autonomic balance depends not only on the mode of training session, but also on the baseline autonomic tone. According to S. V. Yakhontov, asanas had the most beneficial effects in sympathicotonics and hypersympathicotonics, increasing parasympathetic activity by 85 % while reducing sympathetic activity by 28 %. Besides, there was a decrease in SI by 41 % and HR by 13 %. A less noticeable effect was observed when using dynamic exercises. In vagotonics, the most apparent effect was caused by endurance exercises with a 67.5 % increase in SI. Artistic gymnastics caused a similar, but less persuasive effect [17].
Nowadays, one of the factors for reaching the maximum sports performance is the brain functional asymmetry in athletes, as a basis of individual motor activity is the lateral phenotype which regulates the age and gender specifics of its organization and management. It has been shown, that sporting success in specific sports, as well as the optimal adaptation to maximum permissible (extreme) physical and mental loads in elite sports, is determined by the lateral phenotype. M. V. Maler has revealed an optimal autonomic regulation of the cardiovascular system in young men with the left lateral phenotype, as well as in athletes with predominantly left lateral phenotypes and right sensory prevalence. In female athletes, the optimal autonomic regulation in conditions of relative rest was observed in the group of girls with a predominantly right-handed phenotype with a left leading ear. It has been demonstrated, that in the aerobic energy metabolism mode, athletes of both sexes with different lateral phenotypes were able to demonstrate the same physical performance. In persons with lateral phenotypes of the cardiovascular system activity, the author has found differences in energy supply of the muscular activity in anaerobic conditions. So, female athletes of mainly right lateral phenotype with the left leading ear reached a higher physical capacity at loading via the most economic way in the lack of oxygen conditions. Young athletes with different lateral phenotypes did not show differences in physical performance in the aerobic energy supply [12].
HRV and central hemodynamics in elite athletes with different activity of autonomic regulation were studied [8]. Based on the values of SI, VLF power and the classification of N. I. Shlyk (1992), the athletes were divided into four groups of autonomic regulation. The study reported that athletes with different activity of the body regulatory systems had a different correlation between HRV parameters and central hemodynamic parameters: in group I athletes, HRV parameters correlated with those hemodynamic parameters which mainly reflect the heart hemodynamic performance (HR, CO, SO, CI, SI, COI, SOI, TPVR), and in group III athletes -with indicators, which reflect heart pump function (HR, CO, SO, CI, SI, COI, SOI, TPVR), and hemodynamics (systolic blood pressure, diastolic blood pressure, average blood pressure) indicating differences in the adaptive mechanisms between group I and group III athletes, as the author noted.
Different variants of HRV and central hemodynamic response to the Martinet's test in group I and group III athletes were also identified, reflecting the different reserve capabilities of the circulatory system. Athletes with hyperactivity of the parasympathetic arm of the ANS and central mechanisms of regulation (group III) during Martinet's test exhibited an increase in adrenergic effects on HR (autonomic-central response) accompanied by an increase in systolic blood pressure, diastolic blood pressure and mean blood pressure. Athletes with hyperactivity of the sympathetic arm of the ANS and central regulatory mechanisms (group I) during the test showed an increase in adrenergic effects on HR amid dysregulatory manifestations of both the sympathetic and parasympathetic arms of the ANS (central variant of the reaction), that was evident as increased HR, cardiac output, cardiac index). All this indicated a more pronounced reserve capacity of the circulatory system in group III athletes in comparison with group I athletes. In volleyball players, biathletes, gymnasts, football players and swimmers, who belonged to group III of autonomic regulation, the values of HRV and hemodynamics were similar. Therefore, it was concluded, that the adaptive pro-cess to muscular activity is determined by the belonging to a particular group of autonomic regulation rather than sports specialization [8].
Our study has revealed the presence of autonomic supply specifics in the athletes with different mode of the training session.

Conclusions
1. The endurance and speed athletes did not differ from each other in all spectral and the vast majority of time domain HRV parameters, except for SDNN, RMSSD, SDANN and Mo.
2. The strength athletes differed from the endurance athletes by higher tone of the sympathetic arm of the ANS, as evidenced by significantly 11.4 % higher heart rate, 11.7 % shorter RR interval duration and 9.0 % lower Mo value.