About Us
Executive Editor:Publishing house "Academy of Natural History"
Editorial Board:
Asgarov S. (Azerbaijan), Alakbarov M. (Azerbaijan), Aliev Z. (Azerbaijan), Babayev N. (Uzbekistan), Chiladze G. (Georgia), Datskovsky I. (Israel), Garbuz I. (Moldova), Gleizer S. (Germany), Ershina A. (Kazakhstan), Kobzev D. (Switzerland), Kohl O. (Germany), Ktshanyan M. (Armenia), Lande D. (Ukraine), Ledvanov M. (Russia), Makats V. (Ukraine), Miletic L. (Serbia), Moskovkin V. (Ukraine), Murzagaliyeva A. (Kazakhstan), Novikov A. (Ukraine), Rahimov R. (Uzbekistan), Romanchuk A. (Ukraine), Shamshiev B. (Kyrgyzstan), Usheva M. (Bulgaria), Vasileva M. (Bulgar).
PDFHeart rate variability study involves the allocation and quantitative determination of the effect on the heart rate of each link in its management - the central, autonomic, humoral and reflex [1, 2].
The aim of the study was to determine the characteristics of heart rate variability (HRV) in healthy adolescents with 1-2 group health compared to their peers who are diagnosed with scoliosis 1-2 degrees.
Material and methods.
The study included 73 young people aged 12 to 17 years. Study group consisted of 32 teenagers, aged 14,5 ± 0,48 years, 1-2 health groups (according to the Order № 621 of 30.12.2003 «On the integrated assessment of the health of children»). Control group consisted of 41 teen with a mean age 13,049 ± 0,29 years old, with a history of violations of scoliosis posture type.
Daily heart rate variability was studied using the apparatus «Kardiotekhnika-3.4» (INKART, St. Petersburg) as recommended [2]. Subjected to analysis performance temporal and spectral analysis of heart rate.
Results.
Indicators of temporal analysis of heart rate in adolescents incorrect posture scoliosis type and the control group are shown in Table 1.
Table 1
Indicators of temporal analysis of heart rate in adolescents with scoliosis and the control group (M ± m).
|
Indicator |
The control group (n=41) |
Comparative group (n=32) |
ΔX, % |
|
VAR, msec-day |
1293,951±214,675 |
1310.310±148,520 |
1,249 |
|
Wake |
1156,244±220,607 |
1206,310±168,069 |
4,151 |
|
Sleep |
980,195±88,601 |
1003,340±62,670 |
2,307 |
|
aVNN, msec-day |
738,782±25,540 |
800,687±28,720 |
7,731* |
|
Wake |
651,391±21,051 |
685,906±25,456 |
5,031* |
|
Sleep |
879,415±32,684 |
979,971±40,110 |
10,262* |
|
SDNN, msec-day |
154,878±11,101 |
195,752±14,091 |
20,882* |
|
Wake |
99,707±8,276 |
118,161±9,351 |
15,614* |
|
Sleep |
115,683±11,290 |
151,511±12,833 |
23,640* |
|
pNN50%-day |
18,171±3,303 |
29,191±3,741 |
37,745* |
|
Wake |
12,021±2,930 |
17,562±3,342 |
31,534* |
|
Sleep |
28,830±4,690 |
47,125±4,682 |
38,820* |
|
rMSSD, msec-day |
46,170±5,652 |
65,662±6,892 |
29,678* |
|
Wake |
36,800±5,210 |
45,842±5,153 |
19,717* |
|
Sleep |
57,950±7,171 |
87,161±9,442 |
33,509* |
|
SDNN ind, msec-day |
71,488±6,680 |
93,625±6,373 |
23,644* |
|
Wake |
66,901±6,890 |
82,280±6,065 |
18,690* |
|
Sleep |
77,415±7,350 |
106,121±8,079 |
26,970* |
|
SDANN, msec-day |
136,051±10,621 |
170,501±14,061 |
20,206* |
|
Wake |
71,170±5,633 |
82,250±8,670 |
13,470* |
|
Sleep |
75,878±8,993 |
95,375±11,590 |
20,440* |
|
СВВР, day |
1897,293±165,421 |
2321,375±170,990 |
18,270* |
|
Wake |
1886,390±185,024 |
2192,810±169,960 |
13,970* |
|
Sleep |
1938,560±175,120 |
2503,810±203,702 |
22,570* |
Table 2 presents the spectral analysis of heart rate in adolescents in the study groups.
Table 2
Indicators of spectral analysis of heart rate
|
Indicator |
The control group (n=41) |
Comparative group (n=32) |
ΔX, % |
|
VLF, мс²-day |
3805,171±593,490 |
5673,401±696,380 |
32,930* |
|
Wake |
3351,630±595,703 |
4512,801±569,820 |
25,720* |
|
Sleep |
4234,240±627,601 |
6998,840±1001,795 |
39,501* |
|
LF, мс²-day |
2293,976±386,720 |
3500,470±475,971 |
34,470* |
|
Wake |
2130,270±401,401 |
2969,125±442,771 |
28,250* |
|
Sleep |
2507,190±460,051 |
4079,219±675,352 |
38,540* |
|
HF, мс²-day |
1008,540±202,860 |
1766,625±306,350 |
42,901* |
|
Wake |
701,585±179,410 |
945,090±192,320 |
25,770 |
|
Sleep |
1384,700±288,880 |
2613,690±472,280 |
47,020* |
|
nHF, day |
29,440±2,301 |
33,156±3,430 |
11,210 |
|
Wake |
23,290±2,060 |
23,340±2,180 |
0,220 |
|
Sleep |
34,512±2,820 |
38,906±4,141 |
11,290 |
Note: * p <0.05
Discussion.
In the analysis of HRV in adolescents diagnosed with scoliosis, a significant decrease of almost all temporal parameters: SDANN decreased by 20,206% (p <0.05) compared with the control group. The magnitude rMSSD decreased by 29,678% (p <0.05), rNN50 - by 37,745% (p <0.05), indicating a predominance of sympathetic influences on the activity of the heart, and the indicator of variations in the scope of the study group and the control group were not significantly changed.
At the same time, there is a reduction in low frequency spectral parameters as well as the high-frequency component HF to 42,9%, LF at 34,47%, VLF by 32.93% (p <0.05) compared with the control group. When analyzing the ratio LF / HF statistically significant difference compared with the control group were found.
Thus, in adolescents diagnosed with scoliosis observed a significant reduction in the total power spectrum without the express imbalance between the parasympathetic and sympathetic autonomic nervous system, which shows a decline in adaptive abilities of the body and is a poor prognostic sign. [2].
Conclusions.
Based on the results of the study it can be concluded that adolescents with scoliosis observed a significant reduction in both temporal and spectral parameters of circadian variability of heart rate without significant imbalance of the sympathetic and parasympathetic divisions of the ANS.
2. Guide to rhythm disturbances of the heart / red. E.I. Chazov, S.P. Golitsyn // GEOTAR Media, 432 p.
Tsarapkin L.V., Perepelkin A.I. THE REGULATION OF HEART RATE ACCORDING TO THE DAILY MONITORING IN ADOLESCENTS WITH SCOLIOSIS. International Journal Of Applied And Fundamental Research. – 2014. – № 2 –
URL: www.science-sd.com/457-24581 (21.11.2024).