Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Sport Sci Health DOI 10.1007/s11332-015-0256-7 ORIGINAL ARTICLE Cardiac autonomic modulation in judo athletes: evaluation by linear and non-linear method Patrı́cia Souza Araújo3 • Wellington Roberto Gomes de Carvalho3 • Francisco Navarro3 • Bruno Rodrigues2 • Bruno Bavaresco Gambassi1 • Bianca Trovelo Ramallo1,2,3 • Antônio Carlos Filho1,2,3 • Cristiano Teixeira Mostarda3 Received: 17 November 2015 / Accepted: 24 December 2015 Ó Springer-Verlag Italia 2016 Abstract Purpose The practice of judo is associated with some heart conditions. Some authors suggest cardiac morphometric changes as an increase in diastolic dimension of the left ventricle, interventricular septum and posterior wall thickness of the left ventricle with an improvement in aerobic and anaerobic performance. However, few studies have explored the autonomic modulation by heart rate variability in judo athletes. The objective of this study was to evaluate the effect of judo training 6 months on autonomic modulation analysis, time and frequency domains symbolic. Methods The study included 16 young male, 18–25 years of age were recruited from university students through campus ads and divided into two groups: sedentary young males (S; n = 9) and judo (n = 7). Results There are no significant differences in age, height, weight, body mass index and heart rate among sedentary groups and judo. During the reporting period, sedentary individuals displayed parameters of the variability of the lower heart rate in the time domain, as SDNN, RMSSD, PNN50 and VarRR, compared with the subjects of judo. As the symbolic analysis it observed greater parasympathetic modulation (2UV) in judo group, compared with the sedentary group. However, no changes were observed in the sympathetic modulation (0V) between the groups. & Bruno Bavaresco Gambassi [email protected] 1 Physical Education Department, Ceuma University, São Luis, MA, Brazil 2 Faculty of Physical Education, University of Campinas, Campinas, SP, Brazil 3 Physical Education Department, Federal University of Maranhão, São Luis, MA, Brazil Conclusions We conclude that the exclusive practice of judo for 6 months produces autonomic changes, even without contributing to changes in body composition. Keywords Heart rate variability autonomic nervous system Deconditioning cardiovascular Judo athletes Introduction In recent years, the estimated growth in martial arts worldwide has been around 100 million people throughout the world (John Corcoran, President of the Curriculum Committee, American Board of Martial Arts Health Library, University Sydney). People have been practicing martial arts for many reasons such as improving self confidence, self defense and physical fitness, combat skills, health and even some medical conditions [1]. Among martial arts, judo has been studied for its large tactical development and for being a dynamic art martial with intermittent high intensity promoting increases in strength, endurance and power [2–4]. Furthermore, the judo practice can be used to promote therapeutic, educational, and recreational benefits [5]. Additionally, judo can be associated with several cardiac changes. Some authors suggest cardiac morphometric changes as an increase in left ventricular diastolic dimension, interventricular septum and left ventricle posterior wall thickness with an improvement in both aerobic and anaerobic performance. These changes were found in both men and women and are similar to the adaptations found in endurance athletes [6]. It has been observed that judo practice in juvenile men and senior men and woman has statistically significant improvements in components like strength and flexibility [7]. A study also found 123 Sport Sci Health improvements in neural plasticity, showing significant gain in brain gray matter in judo athletes [8]. However, few studies have explored the autonomic modulation by heart rate variability in j udo athletes. The heart rate variability (HRV) has been used to check the baroreflex balance of sympathetic–parasympathetic autonomic nervous system (ANS) and as a measure of vagal activation during physiological and psychological tests. The heart rate variability describes the variation between consecutive heart beats and even when the heart rate is relatively stable, the time between two heartbeats (RR) can be significant. Furthermore, decrease in HRV has been an important mark of cardiovascular and overtraining conditions [9]. Regarding to Judo practice, the heart rate variability has been used to assess precompetitive stress in high-standard judo athletes [10, 11], and a lower perception of recovery [11], association with performance [12]. However, few studies showed if judo practice in young athletes promote the heart rate variability changes in basal conditions. Thus, the aim of the present study was to evaluate the effect of 6-month judo training in autonomic modulation by symbolic analysis, time and frequency domains. (Declaration of Helsinki, 1964; revised in 2008). All subjects gave written informed consent for this study, which was approved by the Ethic Research Committee of Federal University of Maranhao (UFMA). On the first day of protocol, personal data, clinical and family history of cardiovascular, pulmonary, metabolic, and renal diseases, as well as the lifestyle of the participants were collected through interviews. Anthropometric measures were also taken. On the second nonconsecutive day of the protocol, at the baseline period (15 min), RR interval was recorded. Subjects were instructed to avoid strenuous exercises, caffeine, tobacco smoking, and alcohol ingestion at least 12 h before data collection days. Data were collected in the 2 days of protocol from 8:00 to 12:00 a.m. Judo training Judo training group was composed of seven athletes aged 18–24 from judo team from the Federal University of Maranhão. After 6 months of training judo performed four times a week, they were all evaluated. Anthropometric measurements Methods Participants They recruited 16 young male university students through advertisements placed in Federal University of Maranhão and split in two groups: young male sedentary (S; n = 9) and judo athletes (n = 7). Participants were enrolled according to the following eligibility criteria: sedentary group: (1) 18–25 years old; (2) sedentary, with no changes in physical activity over the previous 3 months; (3) nonobese; (4) non-alcoholic; (5) normotensive, and offspring of normotensive parents; (6) non-diabetic, and offspring of nondiabetic parents (7) with no history of cardiovascular, pulmonary, metabolic or kidney diseases; and (8) under no medication in the previous week of enrollment. Judo group: (1) 18–25 years old; (2) Judo athletes, not practitioners of other physical activity over the previous 6 months; (3) nonobese; (4) non-alcoholic; (5) normotensive, and offspring of normotensive parents; (6) non-diabetic, and offspring of non-diabetic parents (7) with no history of cardiovascular, pulmonary, metabolic or kidney diseases; and (8) under no medication in the previous week. Study design The study was conducted in accordance with World Medical Association International Code of Medical Ethics 123 Anthropometric measurements were performed in accordance to the standard procedures [13]. Body weight was measured in kilograms (kg) using a digital scale (SecaÒ 803, Hamburg, Germany) with a precision of 100 grams (g). Height was measured in meters and recorded with an accuracy of 0.1 cm with a portable stadiometer (SecaÒ 213, Hamburg, Germany). The BMI was calculated using the formula: BMI = body weight (kg)/body height (m)2. Heart rate variability The electrocardiogram signal (ECG) acquisition was collected at, kHz sample rate, for a 10 min period in the supine position, head elevation of 30°. It was done using a protocol with three derivations. To assess the HRV, the temporal series of RR intervals, was registered by the WincardioMicromed 600 Hz. Temporal series from the tachogram were related to each selected segment, and were quantitatively evaluated considering the values for the HR, total and normalized (nu) powers of low frequency (LF—0.04–0.15 Hz) and high frequency (HF—0.15–0.40 Hz) components of HRV. The sympathovagal index (LF/HF) was calculated based on the LF and HF normalized. Normalized units (nu) were obtained by dividing the power of given component by the total power (from which VLF was subtracted) and multiplied by 100 [14]. Sport Sci Health In text format tests were analyzed using the program Kubios HRV 2.0 (Biosignal Analysis and Medical Imaging Group, Kuopio, Finland) in which the ECG signal was processed to obtain the variables related to HRV in the time domain and frequency. In the time domain variables were chosen VarRR (Variance of RR intervals), SDNN (standard deviation of RR intervals) and RMSSD (square root of the mean squared differences between adjacent normal RR intervals, expressed in ms) and pNN50, the proportion of NN50 divided by total number of NNs. In Poincaré plot the variables were SD1 (short variation of RR interval), SD2 (represents HRV in long-term records). The analysis of HRV in the frequency domain was performed using Fast Fourier Transform (FFT) in portions of 5 min with interpolation 4 Hz, overlap by 50 %. The bands of interest were low frequency or LF (0.04–0.15 Hz and this component refers predominantly sympathetic modulation) and high frequency or HF (0.15–0.4 Hz, refers to parasympathetic modulation). Normalized LF and HF components of R–R variability were considered, respectively, as markers of cardiac sympathetic and parasympathetic modulation, and the ratio between them (LF/HF) was considered as an index of the autonomic modulation of the heart [14]. The results were expressed in absolute values (HF and LF ms2) and percentage (HFnu and LFnu). A symbolic analysis was carried out according to the approach previously described and validated by Porta et al. [15]. For this method, the same 5 min of iRR selected recording was used. Then, a coarse graining approach based on a uniform quantization procedure was used to transform the iRR series into a sequence of symbols. The length (L) was kept fixed in all analyses. The full range of the sequences was uniformly spread over six levels (from 0 to 5), and patterns of length L = 3 were constructed. Therefore, each subject and each experimental condition had its own range of iRR intervals. The Shannon entropy of the distribution of the patterns was calculated to provide a quantification of the complexity of the pattern distribution. All possible patterns (i.e., 216) were grouped without any loss into three families referred to as (1) patterns with no variation. The sequences are spread on six levels and all possible patterns are divided into four groups, consisting of patterns with: (1) no variations (0V, three symbols equal, associated to sympathetic modulation); (2) one variation (1V, two symbols equal and one different associated with sympathetic and parasympathetic modulation); (3) two like variations (2LV and associated with parasympathetic modulation); and (4) two unlike variations (2UV and associated with parasympathetic modulation) [16]. Table 1 Characteristics of the investigated subjects Variables Sedentary (n = 9) M ± SD Judo (n = 7) M ± SD P Age (years) 22.5 ± 3.0 19.6 ± 1.3 NS Height (cm) 175 ± 2 176 ± 0.07 NS Weight (Kg) 74.7 ± 4 73.6 ± 14 NS BMI (Kg/m2) 24.3 ± 1 23.5 ± 3 NS M Mean, SD standard deviation, BMI body mass index Statistical analysis For data normality analysis, Shapiro–Wilk’s test was conducted; then, a paired t test for parametric data and the Wilcoxon Signed Rank Test for nonparametric data were done. All analyses were conducted using SigmaPlot 12.0 software. Data are presented as the mean ± SD and the P \ 0.05 was considered statistically significant. Results Baseline characteristics The Table 1 shows the baseline characteristics of sedentary and judo groups. No significant differences in age, height, weight, body mass index, and heart rate between the sedentary and judo groups. Heart rate variability in time and frequency domains can be observed in Table 2. During the baseline period, sedentary subjects displayed lower HRV parameters in the time domain, as SDNN (P = 0.045), RMSSD (P = 0.032), PNN50 (P = 0.015) and VarRR (P = 0.046), when compared with the judo subjects. Furthermore, nonlinear method evaluation by Poincare plot showed reduced values in SD1 and SD2 index in Sedentary than Judo group (Figs. 1, 2). Similarly, the frequency domain indexes showed that sedentary individuals demonstrated (in the baseline evaluation) a lower in LF and HF absolute values than judo group. The sympathovagal balance, normalized LF and HF component of HRV were similar between sedentary and judo groups. The symbolic analysis was expressed in Table 2 and show greater parasympathetic modulation (2UV) in judo group when compared to sedentary group. However, no changes were observed in sympathetic modulation (0V) between the groups. Similarly, the 1V and 2LV were not different between them. 123 Sport Sci Health Table 2 Results of heart rate variability in time and frequency domains Sedentary (n = 9) M ± SD Judo (n = 7) M ± SD P Time domain RR (ms) SDNN (ms) SD1 (ms) 825 ± 83 942 ± 143 0.080 60 ± 8 30 ± 10 90 ± 20 68 ± 23 0.008* 0.003* SD2 (ms) 74 ± 11 103 ± 36 0.082 RMSSD (ms) 46 ± 13 93 ± 32 0.007* PNN50 (%) 17 ± 12 40 ± 17 0.015* 3553 ± 900 7806 ± 3124 0.010* LF (ms ) 851 ± 305 2300 ± 631 0.003* HF (ms2) 725 ± 311 1641 ± 686 0.003* 56 ± 7 59 ± 12 0.604 Frequency domain VARR (ms2) 2 LF (nu) HF (nu) 44 ± 7 41 ± 12 0.604 LF/HF 1.3 ± 0.4 1.7 ± 1.0 0.415 Symbolic analysis 0V % 23 ± 4 19 ± 2 0.433 1V % 51 ± 1 51 ± 1 0.835 2LV % 2UV % 14 ± 2 12 ± 3 11 ± 2 19 ± 2 0.226 0.001* M Mean, SDNN standard deviation of RR intervals, RR mean of intervals, SD1 short variation of RR interval, SD2 represents HRV in long-term records, RMSSD square root of the mean of the squares of the successive differences between adjacents RRs, pNN50 the proportion of NN50 divided by total number of NNs, LF low frequency, HF high frequency; Relation LF/HF; 0V % (no variations), 1V % (one variation), 2LV % (two like variations), 2UV % (two unlike variations) * Represents significant difference between the sedentary group and the group of judo athletes Discussion The main findings of the present study were that judo athletes, not practitioners of other physical activity over the previous 6 months, developed an improvement of cardiovascular autonomic control when compare to sedentary group. Was observed an increase in absolute values in SDNN, SD1, SD2, RMSSD, PNN50, VARR, absolute LF, HF power and 2ULV %. These data demonstrate a predominance of parasympathetic modulation in judo athletes. It is noteworthy that these changes were observed regardless of individual characteristics such as weight, height, age and body mass index. From what we know, few studies demonstrated the benefits of practicing judo in autonomic modulation at rest, regardless of other activities practiced. 123 The Judo practice has been shown to be effective in producing several important physiological adaptations to health as increase in anaerobic and aerobic power [17]. The dependence on anaerobic metabolism during competition can be demonstrated by the higher concentrations of lactate, indicating a high rate of anaerobic glycolysis observed after judo training [17]. However, the aerobic component is important in cases where the competition continues for 5 min or more (golden score) and there are sequences of gaming into a single day of competition [7]. Have demonstrated that Judo athletes showed a low to moderate aerobic power capacity, with VO2max values higher than those reported in untrained populations [18]. Others benefits promoted by the practice of Judo are cardiac morphometric changes as an increase in left ventricular diastolic dimension, interventricular septum thickness, posterior wall of the left ventricle with an improvement in both aerobic as anaerobic performance [6]. In case of autonomic adaptations, several studies shown that elite athletes have increase in HR variability compared to sedentary individuals, with a higher relative vagal modulation and lower relative sympathetic modulation. Recently, it has been suggested that cardiovascular autonomic regulations are an important determinant of training adaptations and are also responsive to training effects [19, 20]. Heart rate variability (HRV) has been used as an important marker of cardiac modulation of sympathetic and vagal components of the autonomic nervous system (ANS) [15], so monitoring this activity can be useful for tracking the time course of training adjustments and for setting the optimal training loads. In Judo athletes, the increase in vagal modulation and decrease of sympathetic modulation in resting was associated with higher increase in heart rate during the exercise training. Moreover, studies showed that higher vagal modulation has been associated to heart rate recovery. Those findings suggest higher performance capacity and condition to stress support. Possibly, the lactate produced by anaerobic power in judo practice can induce chemoreflexes changes, modifying heart rate response. Additionally, increase in heart rate variability can be influenced by baroreflex sensitivity. In fact, studies showed that basal HRV and vagal modulation was associated with increase in lactate removal. However, in this study there was no control group at baseline for comparison [12]. In this study, the concern was to select judo practitioners that did not practice another sport and that had similar body composition to the sedentary control group. Thus, we conclude that the exclusive practice of judo for 6 months produces autonomic changes even without contributing to Sport Sci Health Fig. 1 Heart rate variability of RR intervals in a series of beats selected in sedentary individuals (SD1). This index is associated with vagal modulation; Instantaneous heart rate variability of RR intervals between successive heartbeats in sedentary individuals (SD2). This index is associated with the total variance of beats Fig. 2 Heart rate variability of RR intervals in a series of beats selected in Judo athletes (SD1). This index is associated with vagal modulation; Instantaneous heart rate variability of RR intervals between successive heart beats in Judo athletes (SD2). This index is associated with the total variance of beats body composition changes. These changes could be explained in part by the participation of both aerobic and anaerobic metabolism in the practice of judo. Tecnológico (CNPq, Bolsa Produtividade em Pesquisa) and from Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP). Acknowledgments The authors thank the generous cooperation of the volunteers who participated in this study. Bruno Rodrigues had grants from Conselho Nacional de Desenvolvimento Cientı́fico e Conflict of interest of interest. Compliance with ethical standards The authors declare that they have no conflict 123 Sport Sci Health Statement of human and animal rights All procedures performed in studies involving human participants were in accordance with the ethical Standards of the institutional or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical Standards. This article does not contain any studies with animals performed by any of the authors. Informed consent Informed consent was obtained from all individual participants included in study. References 1. Bu B et al (2010) Effects of martial arts on health status: a systematic review. J Evid Based Med 3(4):205–219 2. Franchini E et al (2011) Physiological profiles of elite judo athletes. Sports Med 41(2):147–166 3. Cortell Tormo JM, Pérez Turpin JA, Lucas Cuevas AG, Pérez Soriano P, Llana Belloch S, Martinez-Patiño MJ (2013) Handgrip strength and hand dimensions in high-level inter-university judoists. Arch Budo 9(1):21–28 4. Smaruj RLM (2008) Changes in anaerobic capacity influenced by during three years of judo training of 14–16 year-old boys. Arch Budo 4(22–25) 5. Gleser JM et al (1992) Physical and psychosocial benefits of modified judo practice for blind, mentally retarded children: a pilot study. Percept Mot Skills 74(3 Pt 1):915–925 6. Laskowski R et al (2008) Changes in cardiac structure and function among elite judoists resulting from long-term judo practice. J Sports Med Phys Fit 48(3):366–370 7. Little NG (1991) Physical performance attributes of junior and senior women, juvenile, junior, and senior men judokas. J Sports Med Phys Fit 31(4):510–520 8. Jacini WF et al (2009) Can exercise shape your brain? Cortical differences associated with judo practice. J Sci Med Sport 12(6):688–690 123 9. Tarvainen MP et al (2014) Kubios HRV—heart rate variability analysis software. Comput Methods Programs Biomed 113(1):210–220 10. Morales J et al (2013) The use of heart rate variability in assessing precompetitive stress in high-standard judo athletes. Int J Sports Med 34(2):144–151 11. Morales J et al (2014) Use of heart rate variability in monitoring stress and recovery in judo athletes. J Strength Cond Res 28(7):1896–1905 12. Blasco-Lafarga C, Martinez-Navarro I, Mateo-March M (2013) Is baseline cardiac autonomic modulation related to performance and physiological responses following a supramaximal Judo test? PLoS ONE 8(10):e78584 13. Lohman TG, Martorell R (1988) Anthropometric standardization reference manual and I.H.K. champaign 14. Montano N et al (2009) Heart rate variability explored in the frequency domain: a tool to investigate the link between heart and behavior. Neurosci Biobehav Rev 33(2):71–80 15. Porta A et al (2007) Assessment of cardiac autonomic modulation during graded head-up tilt by symbolic analysis of heart rate variability. Am J Physiol Heart Circ Physiol 293(1):H702–H708 16. Guzzetti S et al (2005) Symbolic dynamics of heart rate variability: a probe to investigate cardiac autonomic modulation. Circulation 112(4):465–470 17. Franchini E et al (2014) The physiology of judo-specific training modalities. J Strength Cond Res 28(5):1474–1481 18. Bonato M et al (2015) Aerobic training program for the enhancements of HR and VO2 off-kinetics in elite judo athletes. J Sports Med Phys Fit 55(11):1277–1284 19. Hautala AJ et al (2010) Physical activity and heart rate variability measured simultaneously during waking hours. Am J Physiol Heart Circ Physiol 298(3):H874–H880 20. Perini R, Veicsteinas A (2003) Heart rate variability and autonomic activity at rest and during exercise in various physiological conditions. Eur J Appl Physiol 90(3–4):317–325