Povzun A.A., Apokin
V.V.
Surgut State
University, Russia
BIORHYTHMOLOGICAL CHARACTERISTICS OF STATUS
OF BODY ADAPTABILITIES OF SWIMMERS FROM DIFFERENT GEOGRPAHICAL CLIMATIC ZONES
Nowadays it is no doubt
that achievement of sports result and its growth is based on adaptive processes
taking place in an athlete’s body and this is the reason why the mechanism of
adaptation to physical loadings was studied and described in detail in the
aspect of both quantity and quality. But since training loadings the body can
react to adequately, without a negative effect are almost at the limit, the
issue of the status of athlete’s adaptabilities
and body reserves providing it is getting more relevant for there is hardly a
reason to increase more the loadings intended for improvement of sports result.
Therefore, special attention is to be paid to profound, detailed and complex
study of the rules and conditions of correlation of different factors of cyclic
macrostructure of the process of individual development. Perspectives of
optimization of the long-term sports performance, purposeful control of its
dynamic changes and increase of its efficiency in many ways depend on
development of such researches, so any activity in this direction is relevant
and perspective, of certain fundamental and applied value, and was the
direction of the present study.
First and foremost, the
case is that adjustment or adaptation
to new conditions or factors takes place at the expense of body’s functional
resources, the specific “biosocial cost” called by the term “value of adaptation” suggested by I.V.
Davydovsky in the middle of the last century [1]. The cost has exceeded the
“biosocial budget” and demands from the body more efforts for a complete
adaptation mechanism. It is also essential that the status of adaptabilities is taken as one of
the basic criteria of human health more frequently. So the problem is relevant
not only for the purpose of enhancement of professional skills but for
protection of elite athletes’ health. Regardless of the growing importance of
health, its effect on health characteristics is still unclear, as the role of
the occupations of physical culture and sport as a factor of health promotion
is being recognized more actively. The so called positive health concept defined
in the end of the last century [2] takes into account first dynamic
characteristics in health evaluation, based on the ability to maintain the
balance of body and environment, which is marked as health balance and, in
fact, conforms to the present concept as an ability to adapt to environment. Such
a definition makes us treat the issue of health status, inclusive of athletes,
in a different way and design a new strategy and tactics of its solution.
Reacting and adapting to
physical loadings athlete’s body is
still in certain ecological conditions of the region of his residence and feels
the whole range of its effects. Hence, trainer is to understand how to consider
these factors when organizing a training, ensuring improvement of sport skills,
especially in case of allegedly unfavourable geographical climatic conditions not
good for body adaptabilities,
decreasing its reserves. Proceeding from the results of the analysis of the
seasonal changes of biorhythms, largely characterizing body reserve abilities, we made an attempt to estimate the
status of athletes' body
adaptabilities, including elite ones living in the Middle Ob region [3,4],
and established that notwithstanding high functional indices and sport skills
these adaptabilities and
therefore health “reserve” remain on the level that, unfortunately, is not
high. In the present paper, we made an attempt to estimate by means of the biorhythmological approach the direct
influence of ecological factors on the status of athletes' adaptabilities by comparing jet
fatigue of two teams of swimmers living and training in absolutely different geographical
climatic zones and influenced by completely different ecological factors.
Swimmers of the same gender, age group, nationality and sports rank of
master of sport or higher, living in different regions had their physiological indices tested. Athletes
of the team 1 – from Surgut, territory equated with the Far Northern
conditions, and the team 2 – from the Southern city Alma-Ata, the Republic of
Kazakhstan. Both of the teams had the same flight 4 time zones to the west to
the training camp and spent 21 day in the camp. Measurements were made the day
before flying to the training camp, right after crossing 4 time zones to the
West and when arriving to the sports base, on the second week and right before
coming back (after a 3-week stay out of their
geographical area and the main time zone) and for 3 days from arrival
home. Chronobiological measurements
were made 4 times a day: at 8, 12, 16 and 20 o’clock. The indices measured were as follows: t – body temperature (Ñ0), HR – heart rate (bpm), SAP –
systolic arterial pressure (mm Hg), DAP – diastolic arterial pressure (mm Hg). The
obtained data laid the basis for the calculations of: PP – pulse pressure (PP = SAP-DAP mm Hg), Pdyn –
average dynamic pressure (Pdyn =
0,42 (SAP - DAP) + DAP mm Hg), SO – systolic
output (SO = 100+0,5 (SAP-DAP) - 0,6 DAP -0,6Â (ml). where B - age), CO – cardiac output (CO = SO õ HR l/min). The obtained data were
subject to standard processing. The parameters estimated included the daily mean
(mesor), rhythm amplitude, function peak time (acrophase) and peak-to-peak value (chronodesm).
We have already presented the detailed analysis of changes of circadian organization of key hemodynamic indices among Surgut athletes after a flight and in conditions
of long-term stay out of their geographical area and the main time
zone [5], so here we only remind of the lack of fundamental desynchronosis and decrease of its
characteristics in the northern athletes. An offset of the zone standard
time provokes coordinated and urgent rhythm reorganizations, but these changes
are not critical or pathological and show a quite satisfactory status of body adaptabilities. Moreover,
specific response to loading testified to systemic
regulatory displacement of hemodynamic loading to bloodstream rather than
decrease of these abilities which is one of the main training effects in elite athletes,
promoting natural limitation of energy expenditure and decreasing ergotropic
and intensifying trophotropic effects of vegetative nervous system [6].
Changes of the circadian organization of the key hemodynamic indices among Alma-Ata athletes after a flight and in conditions of the long-term
stay out of their geographical area and the main time zone are
adduced in Table 1.
Table 1.
Changes of key rhythm
indices of cardiovascular system among Alma-Ata athletes after a flight and in
conditions of the long-term stay out of their geographical area and
the main time zone.
|
|
At home |
day 1 |
day 2 |
day 3 |
day 10 |
day 14 |
day 21 |
At home |
|
Changes of circadian organization of daily means (mesors) |
||||||||
|
HR |
68,3±2,21 |
68,9±2,97 |
67,8±2,81 |
67,9±2,55 |
70,9±1,81 |
67,4±2,41 |
67,7±2,77 |
69,5±3,07 |
|
SO |
57,0±1,54 |
58,9±1,74 |
58,3±1,52 |
58,7±1,58 |
56,6±1,32 |
59,7±1,47 |
59,5±1,74 |
59,80±1,91 |
|
CO |
3,88±0,09 |
4,06±0,32 |
3,95±0,24 |
3,98±0,33 |
4,01±0,27 |
4,03±0,19 |
4,03±0,23 |
4,15±0,52 |
|
SAP |
121,5±1,91 |
124,5±1,91 |
122,2±2,77 |
123,8±2,64 |
122,2±1,91 |
119,7±2,1 |
121,7±1,9 |
123,2±3,01 |
|
DAP |
75,6±1,31 |
75,2±1,90 |
74,7±1,81 |
75,1±1,91 |
76,3±1,58 |
72,3±1,61 |
73,4±1,87 |
73,9±1,93 |
|
PP |
45,9±1,43 |
49,3±1,97 |
47,4±1,56 |
48,7±1,39 |
45,9±1,30 |
47,4±1,91 |
48,3±2,07 |
49,4±2,31 |
|
Pdyn |
94,9±1,31 |
95,9±1,91 |
94,7±1,81 |
95,6±1,31 |
95,6±1,47 |
92,2±1,67 |
93,7±1,81 |
94,6±1,92 |
|
body
t |
36,6±0,02 |
36,7±0,03 |
36,6±0,03 |
36,6±0,05 |
36,6±0,03 |
36,6±0,02 |
36,6±0,03 |
36,6±0,03 |
|
Changes of circadian organization of amplitudes |
||||||||
|
HR |
6,84±1,31 |
5,78±1,58 |
5,63±1,51 |
5,53±1,33 |
8,53±0,71 |
6,63±1,30 |
7,56±1,87 |
8,75±2,11 |
|
SO |
4,73±1,22 |
4,75±1,36 |
3,81±1,31 |
3,16±1,41 |
3,36±1,16 |
4,87±1,24 |
3,26±1,33 |
3,36±1,49 |
|
CO |
0,39±0,05 |
0,51±0,09 |
0,28±0,06 |
0,46±0,04 |
0,62±0,05 |
0,51±0,06 |
0,52±0,06 |
0,49±0,06 |
|
SAP |
6,5±0,95 |
9,75±1,32 |
4,91±1,89 |
5,44±2,02 |
6,38±1,42 |
7,5±1,22 |
6,3±1,72 |
6,27±1,77 |
|
DAP |
4,44±0,52 |
4,81±1,29 |
3,75±1,22 |
4,94±1,32 |
4,69±1,15 |
3,34±1,22 |
2,31±1,62 |
3,88±1,67 |
|
PP |
4,03±0,22 |
7,94±1,12 |
3,56±1,41 |
4,56±1,22 |
4,78±0,62 |
6,81±1,17 |
4,69±1,32 |
6,38±1,80 |
|
Pdyn |
5,01±1,61 |
6,45±1,87 |
3,99±1,72 |
5,15±1,69 |
5,13±1,23 |
3,84±1,19 |
3,44±1,37 |
2,92±1,33 |
|
body
t |
0,14±0,03 |
0,09±0,03 |
0,13±0,04 |
0,11±0,03 |
0,14±0,02 |
0,16±0,02 |
0,15±0,03 |
0,13±0,03 |
|
Changes of function peak time (acrophase) |
||||||||
|
HR |
20.00 |
16.00 |
20.00 |
20.00 |
16.00 |
16.00 |
12.00 |
16.00 |
|
SO |
8.00 |
16.00 |
8.00 |
16.00 |
8.00 |
8.00 |
20.00 |
16.00 |
|
CO |
20.00 |
16.00 |
20.00 |
20.00 |
12.00 |
16.00 |
20.00 |
16.00 |
|
SAP |
16.00 |
20.00 |
20.00 |
20.00 |
16.00 |
20.00 |
20.00 |
20.00 |
|
DAP |
20.00 |
20.00 |
20.00 |
20.00 |
16.00 |
16.00 |
12.00 |
20.00 |
|
PP |
20.00 |
16.00 |
16.00 |
16.00 |
16.00 |
20.00 |
20.00 |
20.00 |
|
Pdyn |
16.00 |
20.00 |
20.00 |
20.00 |
16.00 |
20.00 |
16.00 |
20.00 |
|
body
t |
20.00 |
16.00 |
20.00 |
20.00 |
16.00 |
12.00 |
16.00 |
20.00 |
|
Changes of circadian organization of peak-to-peak values (chronodesms) |
||||||||
|
HR |
59,5-75,0 |
60,6-74,3 |
61,3-73,5 |
60,5-73,0 |
60,5-78,0 |
58,0-74,1 |
56,0-76,5 |
61,2-77,0 |
|
SO |
52,5-61,0 |
54,3-63,4 |
55,6-62,1 |
54,6-61,8 |
53,1-59,8 |
56-64,6 |
56,7-62,8 |
54,6-64,0 |
|
CO |
3,58-4,17 |
3,61-4,52 |
3,64-4,22 |
3,60-4,43 |
3,55-4,55 |
3,53-4,51 |
3,29-4,52 |
3,55-4,81 |
|
SAP |
116,3-127,2 |
115,5-134,3 |
114,7-127,0 |
114,7-129,3 |
113,0-128,5 |
112,3-127,2 |
116,2-126,0 |
116,2-128,5 |
|
DAP |
69,8-80,0 |
69,2-80,0 |
70,1-78,5 |
70,0-79,5 |
70,0-81,1 |
68,3-75,5 |
70,5-75,8 |
70,5-77,7 |
|
PP |
41,5-49,5 |
43,0-57,2 |
43,2-51,0 |
42,7-53,2 |
41,0-49,7 |
40,0-54,3 |
44,5-53,0 |
42,3-55,8 |
|
Pdyn |
89,3-99,4 |
88,9-102,3 |
88,7-98,6 |
88,9-99,8 |
88,1-100,7 |
87,0-96,1 |
90,2-96,6 |
90,9-97,2 |
|
body
t |
36,5-36,7 |
36,5-36,8 |
36,5-36,8 |
36,5-36,7 |
36,5-36,7 |
36,4-36,8 |
36,5-36,8 |
36,6-36,7 |
Even a shallow comparative
study does not show any significant changes in the rhythm structure and
decrease of its characteristics in the second case, but the status and response
to loading among the athletes living in the South is different.
So, all at once, it
turned out that regardless of living in conditions with very unstable duration
of daylight hours, the preflight coordination
of rhythms, that is the position of acrophases in their structure, seems
more preferable in the group 1. The rhythm maximums of all hemodynamic indices
are almost the same, so the body’s adaptation reserve should be a bit higher. But
it seems lacking any advantages as neither of the groups manages to avoid the
consequences of external desynchronosis,
which is, unfortunately, insurmountable if having a flight. Another problem is
to understand the depth of regulatory reorganizations and their relation to a
flight. In this case the concern is caused by almost complete correspondence of
time maximums of cardiac outputs which is the final index of efficiency of
blood circulation and HR, that must provide CO in this case, which is not
typical for elite athletes. Such a result suggests inner desynchronosis, which
regardless of more favourable geographical climatic conditions, must be present
in the group 2.
Nevertheless, the
response to flight is absolutely adequate in this group of athletes and indicates
to existence of reserve of both functional and adaptive abilities. The reserve is proved first of all by
practically total invariance of mesors of all the studied hemodynamic indices, the
mean value for neither of which grows or drops below the initial value during
the whole stay. In view of sports skill level and thus level of physical
development of the studied group, it can indicate only to uselessness of
activation of functional reserves of athletes’ body.
However, urgent response
to loading exists and is being realized in this group by activating first of
all adaptabilities, reflecting
a sudden substantial change of amplitudes and ranges, especially right after a
flight. But in our case this reserve is enough only for an urgent response, and
amplitudes and ranges tend to
decrease remarkably already on the second day after the flight. It means that body adaptabilities decrease, the
values, at least of the amplitudes, hardly
drop below the initial ones, and this steady state of rhythm indices can
promote two situations. Either the body functional reserve is so big, that the
four-hour offset of the central standard time is not really a significant
loading for athletes of this group and then the acute phase of external desynchronosis is the only
rhythm disturbance accompanying the flight. Or originally existing problems in
the rhythm structure prevent realization of such a reserve to the full. The
growth of the HR and CO range values at the steady-state SO and remarkable
increase of the indices of systolic arterial pressure at steady-state mesor
values makes such a scenario quite possible. The loading, in this case the one ensuring
blood circulation, maybe insignificantly, but shifts to heart.
It is to be recalled
that in the group of athletes of the northern region the situation is rather
different and expressed in loading hemodynamic displacement to bloodstream. Different
direction of activation of the circulatory system and mobilization of the central
level of its management also testifies to the changed Kerdo index, dropping
essentially to vagotonia in the group 1 and exactly the opposite in the group
2, though less pronounced. As follows from this situation, the body response to
the same post-flight loadings is multidirectional in our case and athletes of
the northern region achieve the result by economizing adaptive resources, and
of the southern – by not very pronounced but activation of these resources. For the unique estimate
of efficiency of this result one is to take into account the goals trainers set
before athletes and expected sports results, though the response of the
athletes of the group 1 seems more preferable in view of estimation of
efficiency of the training effect itself.
Proceeding from the
achieved result, trainers are to take into account the influence of regional
factors of the athlete whose adaptabilities
are thoroughly estimated due to potential significance of the result of this
influence, as you can see from our data.
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