Mechanisms of urgent adaptation of cardiovascular system in female athletes at latitudinal relocation

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ˑ: 

PhD, Associate professor A.A. Povzun
PhD, Associate professor V.V. Apokin
Dr.Hab., Professor V.D. Povzun
Postgraduate N.R. Usaeva
PhD O.N. Shimshieva
Surgut State University, Surgut

Keywords: biological rhythm, chronobiological analysis, adaptive response, exercise.

Introduction. Speaking of the necessity and importance of the control over adaptive processes in the body of athletes, who are regularly exposed to intensive exercise, we have more than once emphasized the role of the biorhythmological approach, providing fast and inexpensive assessment of the state of these capabilities, thus reducing the "physiological cost" of high sports results. This "cost" is of particular concern when it comes to junior athletes, as a growing organism responds primarily to the changes in rhythmostasis [10]. In sport practice, such problems occur most frequently during the zone time offset, when the body feels the effects of latitudinal relocation across several time zones, which will undoubtedly affect its functional and adaptive capabilities. It is important to emphasize that adaptive capabilities of Yugra athletes of different age groups, which we estimated from the perspective of the biorhythmological approach, differ significantly from each other, and, in spite of the high level of sport skills, mature athletes demonstrated a significantly lower level of these capabilities compared to junior athletes. Of course, the reasons for these differences may be associated with both age-related changes and climatic conditions, they may be determined by the level of physical activity, and even the peculiarities of the sport discipline. All these factors in total, someway or other, determine the general adaptive capacity, which is characterized by the value of the index of functional changes and which role in the reduction of the "physiological cost", according to our information, is not high [2, 7]. The analysis of the impact of climatic factors on adaptive capabilities of the body of athletes did not reveal any fundamental differences either [3, 4, 11]. Therefore, we are interested in the gender aspect, since the results obtained during the comparison of adaptive capabilities of the male and female parts of the team of elite swimmers after the transzonal flight turned out to be considerably and significantly different [8, 9].

Objective of the study was to analyze the impact of the zone time offset on the state of adaptive capabilities of the body of athletes after flying across several time zones.

Methods and structure of the study. The logic and methodology of the research are described in detail in the current work [12]. Physiological indicators were measured in 18 female athletes of 16-18 years of age specializing in speed-strength (sprint) kinds of athletics. The obtained data were subjected to the standard mathematical processing using FARS software application [5]. Daily average value (mesor), rhythm amplitude, time of the maximum function value (acrophase) and fluctuation amplitude (chronodesm) were assessed.

Results and discussion. The boundary results are presented in Tables 1-4.

Table 1. Change in circadian organization of daily average values (mesors)

Studied indicators

Before the departure

1st day of stay

2nd day of stay

3rd day of stay

HR

76.3 ± 3.71

75.3 ± 4.11

74.3 ± 4.02

75.9 ± 3.97

SVO

72.1 ± 2.21

73.6 ± 2.34

73.1 ± 1.91

74.2 ± 3.12

CO

5.5 ± 0.66

5.6 ± 0.71

5.4 ± 0.74

5.6 ± 0.67

SBP

117.3 ± 3.97

117.8 ± 4.77

118.3 ± 4.71

117.9 ± 4.34

DBP

69.9 ± 2.42

68.8 ± 3.19

69.4 ± 2.56

68.3 ±2.44

PP

47.4 ± 2.62

49.0 ± 2.87

48.8 ± 3.27

49.7 ± 3.44

ADAP

89.8 ± 2.17

89.4 ± 2.21

89.9 ± 3.53

89.2 ± 2.78

 

7th day of stay

 

Right before the departure

1st day at home

3rd day at home

HR

76.6 ± 3.19

75.4 ± 4.71

75.7 ± 4.21

76.7 ±3.98

SVO

74.3 ± 2.77

72.5 ± 2.97

70.5 ± 3.19

71.81 ± 3.01

CO

5.69 ± 0.62

5.45 ± 0.72

5.3 ± 0.77

5.5 ± 0.69

SBP

118.7 ± 3.87

116.4 ± 4.21

119.3 ± 4.44

118.2 ± 3.97

DBP

68.5 ± 3.07

69.1 ± 3.23

72.2 ± 4.52

70.6 ± 2.21

PP

50.1 ± 2.81

47.3 ± 1.91

47.1 ± 2.17

47.6 ± 2.51

ADAP

89.6 ±2.12

89.0 ± 2.62

92.0 ± 2.97

90.6 ± 1.87

Table 2. Change in circadian organization of amplitudes

Studied indicators

Before the departure

1st day of stay

2nd day of stay

3rd day of stay

HR

4.88 ± 1.12

4.56 ± 1.21

5.0 ± 1.37

5.71 ± 1.19

SVO

4.32 ± 1.66

3.81 ± 1.33

6.65 ± 1.43

4.83 ± 1.10

CO

0.56 ± 0.04

0.44 ± 0.05

0.62 ± 0.06

0.55 ± 0.05

SBP

4.58 ± 1.22

4.82 ± 1.17

3.83 ± 1.37

4.74 ± 1.75

DBP

3.78 ± 1.14

4.12 ± 1.21

4.4 ± 1.49

4.35 ± 1.15

PP

5.03 ± 1.37

4.47 ± 1.76

6.76 ± 1.55

5.78 ± 1.13

ADAP

3.26 ± 0.97

3.49 ± 1.49

3.38 ± 1.44

3.81 ±1.27

 

7th day of stay

 

Right before the departure

1st day at home

3rd day at home

HR

5.79 ± 0.91

5.22 ± 1.27

5.53 ± 1.77

5.49 ± 1.44

SVO

3.98 ± 1.17

5.2 ± 1.72

3.98 ± 1.77

4.21 ± 1.72

CO

0.57 ± 0.03

0.61 ± 0.04

0.59 ± 0.06

0.52 ± 0.04

SBP

5.15 ± 0.57

4.94 ±1.37

5.5 ± 2.53

4.57 ± 1.78

DBP

4.12 ± 1.11

4.32 ± 1.77

2.9 ± 1.50

4.26 ± 1.56

PP

4.81 ± 1.03

5.62 ±1.31

5.38 ± 1.47

5.08 ±1.77

ADAP

3.73 ±1.24

3.95 ±1.42

3.59 ± 1.11

3.78 ± 1.48

Table 3. Change in circadian organization of acrophases

Studied indicators

Before the departure

1st day of stay

2nd day of stay

3rd day of stay

HR

16:00

16:00

16:00

20:00

SVO

20:00

8:00

8:00

12:00

CO

20:00

12:00

12:00

12:00

SBP

12:00

20:00

16:00

8:00

DBP

16:00

20:00

20:00

8:00

PP

20:00

8:00

8:00

8:00

ADAP

12:00

20:00

16:00

8:00

 

7th day of stay

 

Right before the departure

1st day at home

3rd day at home

HR

16:00

16:00

16:00

16:00

SVO

12:00

16:00

16:00

20:00

CO

16:00

16:00

16:00

8:00

SBP

20:00

16:00

16:00

20:00

DBP

16:00

12:00

12:00

12:00

PP

20:00

16:00

16:00

20:00

ADAP

8:00

8:00

16:00

12:00

Table 4. Change in circadian organization of amplitudes

Studied indicators

Before the departure

1st day of stay

2nd day of stay

3rd day of stay

HR

70.9 - 81.2

70.3 - 79.9

69.3 - 79.3

69.2 - 81.6

SVO

67.8 - 76.4

69.4 - 77.4

68.2 - 79.6

69.4 - 79.1

CO

5.1 - 6.1

5.1 - 5.9

4.9 - 6.1

5.1 - 6.2

SBP

113.4 - 121.9

112.1 - 122.6

114.0 - 122.1

114.0 - 122.7

DBP

65.7 - 73.7

64.7 - 72.9

63.5 - 73.8

64.39 - 72.61

PP

42.6 - 52.4

43.7 - 53.5

43.1 - 55.6

44.1 - 55.5

ADAP

86.8 - 93.1

85.5 - 92.8

86.0 - 93.3

86.5 - 92.9

 

7th day of stay

 

Right before the departure

1st day at home

3rd day at home

HR

71.3 - 82.4

70.1 - 80.7

70.3 - 81.2

71.2 - 82.2

SVO

70.1 - 78.3

68.0 - 77.7

66.8 - 74.5

68.2 - 76.0

CO

5.2 - 6.26

5.0 - 6.1

4.8 - 5.9

5.1 - 6.0

SBP

113.9 - 123.8

111.6 - 121.4

113.7 - 124.8

114.1 - 122.8

DBP

64.9 - 72.7

64.4 - 73.4

68.4 - 75.11

66.8 - 74.8

PP

44.9 - 54.9

41.8 - 52.9

41.5 - 52.4

43.8 - 52.72

ADAP

86.5 - 93.3

85.4 - 92.9

88.2 - 95.6

87.3 - 94.4

First, we should note that all of the major trends in the dynamics of the indicators and structure of the rhythm in girls are similar to those in boys. The functional capabilities of female athletes remain unchanged, which means that the three-hour offset of the zone time is not a significant load for a young organism, which is not always the case [1, 10]. There is also a rhythm desynchronization and adaptive adjustment, reflected in the amplitude dynamics, which are typical for the flight. That is, it would be well to expect a reaction similar to that in boys [6], since in this case, the values of mesors of systolic volume output and cardiac output do not change, and are extremely high for this age group. On the one hand, this is good, because it reflects the best physiologically optimal alternative of the increase of blood flow due to the cardiac output; on the other - indicates that the relaxation of the cardiac muscle, providing the increase in the volume of the blood ejected, is no longer possible. Moreover, these values are high both before and after the flight, which, as is the case with boys, suggests a state rather than a response to exercise.

However, the functional statuses of female athletes differ significantly: the daily average value of their pulse pressure during the entire observation period was within the physiological range, and therefore, there is no pronounced hemodynamic response to exercise. Exercise exposed on their body does not require the involvement of any additional compensatory mechanisms, and we assume that there are also no reasons for changing the direction of the regulatory vector.

Conclusions. There were no significant changes, much less structural failure of the rhythm, in either of the examined groups. This means that the three-hour offset of the zone time is not a significant load for this age group, and functional and adaptive capabilities of the body of athletes correspond to quite a satisfactory level.

However, the search for the causes of the dynamics of the leading parameter of the human body state vector (HBSV) in the four-dimensional phase space, observed during the functional stress tests and reflecting the changes in the regulatory signal direction, showed that, on the one hand, in terms of its physiological mechanism, the hemodynamic response to exercise was quite adequate to the capabilities of the physically trained organism, providing blood flow due to the cardiac output, and on the other hand - the functional hemodynamic indices, reflecting the functional load on the heart, even at rest, are so high that their increase in response to high-intensity exercise does not seem possible, which probably leads to the involvement of the compensatory regulatory mechanisms.

The reason for such a result is, most likely, a state of fatigue, caused by both exercise and climatic-geographical conditions. What is more, the first reason is more probable or significant, as there are very pronounced gender differences in response to exercise.

References

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