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eISSN: 2574-9935

Sports Medicine

Research Article Volume 3 Issue 1

Convergent validation of training loads measurements in taekwondo athletes

Adrian G Chacon Araya,1 Bryan Montero Herrera,1 Pedro Carazo Vargas1,2

1School of Physical Education and Sports, University of Costa Rica, Costa Rica
2Human Movement Sciences Research Center, University of Costa Rica, Costa Rica

Correspondence: Adrian G Chacon-Araya, School of Physical Education and Sports, University of Costa Rica

Received: January 01, 1971 | Published: January 30, 2019

Citation: Chacón-Araya AG, Montero-Herrera B, Carazo-Vargas P. Convergent validation of training loads measurements in taekwondo athletes. MOJ Sports Med. 2019;3(1):8-11. DOI: 10.15406/mojsm.2019.03.00070

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Abstract

The purpose of this study was to analyze if both the Banister's TRIMP method and the Foster method are convergent to calculate the training loads in Taekwondo athletes. There was a total number of 8 Taekwondo athletes as participants, of which composed of 4 women and 4 men. Together, the participants performed a total number of 61 training sessions. The study also had a significant Pearson correlation found between the Banister’s TRIMP and Foster’s method (r= 0.33, p ˂ 0.01), but according to Lin’s Concordance Correlation Coefficient, the measurement was very low (Rc between 0.002 and 0.022). An individual correlation was also made through the Pearson Product-Moment between the two methods and through this it was discovered that only one participant had a significant association (r=0.812, p˂0.014), but with Lin’s Concordance Correlation Coefficient, the result was low (Rc between -0.004 and 0.037). In conclusion, both the Banister's TRIMP method and the Foster method are not convergent to measure the training loads in Taekwondo athletes.

Keywords: load training, martial arts, taekwondo, heart rate, Banister’s TRIMP method, foster method

Introduction

Sport planning in disciplines such as martial arts requires to understand a lot of physiological variables that are involved in processes like training and competition.1,2 Moreover, some physiological aspects are needed in order to quantify the training loads (TL) that will evaluate and improve physical abilities (including technical and tactical qualities) in athletes.3 Different studies have been published that involves determining the training Loads (TL). In one study, it shows that the heart rate (HR) has been used as an easy and reliable measurement to monitor the TL and the athletes’ work of progress.4–6 In sports like Taekwondo and Karate, they both share things in common. Both presents abrupt changes in HR, every time an attack or counter-attack technique was implemented,7,8 and this happens also during fighting moments.9–11 All these changes are produced when intermittent efforts happen with metabolic demands (alternative aerobic and anaerobic sequences) in sports. Researchers have used a vast diversity of procedures to calculate changes in HR and TL. One example, in Taekwondo, Haddad1did an investigation wherein 10 Taekwondo competitors trained for 10 weeks during pre-competitive period. The researchers used Edwards’ Heart Rate–Based Method (Edwards’ TL) and Banister’s Training Impulse Method (Banister’s TRIMP) to determine the LT of the athletes. They found that both methods were related, however, Borresen12 mentioned that Banister’s TRIMP technique was more reliable when it comes to measuring intensity training, and Edwards’ TL was more reliable for TL. A group of researchers13 designed a method for controlling TL based in the Rating of perceived exertion (RPE´s Borg). This method (RPE´s Borg) had also been evaluated in boxing;14 karate;15,16 diving;17 football;18 and finally, waterpolo.19 Padulo20 demonstrated that Foster method was reliable in develop load in trainings because it additionally takes physiological demands for each athlete. Nevertheless, it is important to understand that this method only works with Borg CR-10 scale because as some authors21 proposed, the subjective perception scale of Borg effort, from 6 to 20 points, it is not a valid instrument to control intensity effort in training situations. The purpose of the study was to evaluate to recognize the effectiveness of the Banister's TRIMP and Foster methods to measure training load. Besides, it is of interest to know if both methods are convergent in determining load training for adult athletes (men or women) in Taekwondo.

Material and methods

Participants

Eight Taekwondo participants, composed of 4 men and 4 women, participated in this study voluntarily. All of them came from the Taekwondo Representational Team from the University of Costa Rica. The participants were black belts (4) or red belts (4), with a minimum experience in Taekwondo practice of 5 years. In addition, all had participated in the last 2 years in kyrugui (combat) modality at least 3 times. Before beginning the study, participants were informed about the potential risks and benefits associated with their involvement. Finally, those who agreed signed a written informed consent. Participant characteristics are shown in Table 1.

Men (n=4)

Women (n=4)

Age

23±3.92

21.75±4.19

Weight

64.43±7.40

52.58±3.92

Height

169.48 ± 5.93

151.93±3.39

Experience

8.50± 2.06

7.5±2.08

Table 1 Participant characteristics

Instruments

The HR was measure using a monitor Polar FT7. It has shown validity and reliability evaluating HR during exercise.1–22 The TL was estimated through Banister method applying the following formula:

TD=HR R ×0.64× e 1,92× HR R MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqcfaieaaaaaa aaa8qacaqGubGaaeiraiaab2dacaqGibGaaeOua8aadaWgaaqcfawa a8qacaqGsbaajuaGpaqabaWdbiabgEna0kaaicdacaGGUaGaaGOnai aaisdacqGHxdaTcaqGLbWdamaaCaaabeqcfauaa8qacaaIXaGaaiil aiaaiMdacaaIYaGaey41aqRaaeisaiaabkfajuaGpaWaaSbaaKqbaf aapeGaaeOuaaWdaeqaaaaaaaa@4E03@

In the formula, TD means the effective training session duration expressed in minute, e = base of the Napierian logarithms, and HRR= heart rate reserve.7–12 The Foster Method13is based in the modified perceived effort Borg scale (CR-10). In this scale the score given by the participant was multiplied by the training time.4

Procedures

A structured training was taken for 8 weeks. Each training followed the same sequence, first, a feedback phase (5 minutes), warm up exercises phase (10 minutes), stretch phase (10 minutes), and a specific warming up with physical preparation emphasis (15 minutes). The main phase of each training had a 60 minutes duration. Participants executed aerobic continuous kicking exercises for 1 minute per series. Furthermore, anaerobic training was also applied in the session through interval mode. Interval mode uses pads to work either technical or tactical exercises, or directed combat with assistant, or simulated combat. All exercises in the interval mode modality were realized at maximum effort. At the end of each session, a 10-minute normalization stage was carried out. Training sessions were taken between 19:00 and 21:00. Each session lasted 90 to 120 minutes. The HR was assessed at the beginning, middle, and after each training session using a heart rate monitor mark Polar FT7, RS300x. Middle evaluation was only focus to control heart rate monitor functionality. Banister's Training Impulse Method (Banister's TRIMP) was used to measure TL. This method uses HR during training and HR at rest (it was measured at the first day of the procedure). Each participant evaluated TL individually in two different moments, first one at the end of each session, and the second one between 10 minutes to 30 minutes after the ending. They used Borg scale (from 1 to 10) to estimate the training perceived effort through this question “how was your training on a scale from 1 to 10?.” Based in the answer gave by athletes, the CR-10 method (Borg Perceived Effort modified by Foster13) was calculated. 

Data analysis

Statistical analyses were performed using the IMB SPSS for Windows version 18.0 (IBM Corporation, New York, USA). The results are presented as means ± SD. The Pearson product-moment correlation coefficient, Lin’s concordance correlation coefficient, Mann–Whitney U test between gender, and Bland Altman plot.

Results

The TL was calculated at the end of 61 sessions. A significant Pearson correlation was found between Banister’s TRIMP and Foster’s methods (r=0.33, p˂0.01), however, Lin’s concordance correlation coefficient showed a very low relation between both methods (Rc=0.012; IC 95% de Lin =0.002-0.022). Group correlation is presented in Table 2. Individual correlations between both methods are shown in Table 3. This analysis included 8 sessions that each participant accomplished. Only one participant assisted to 5 sessions. After analyzed Pearson correlation, only one person had a significant association (r=0.812, p˂0.014), nevertheless, Lin’s concordance correlation coefficient showed a low relation (Rc=0.017; IC 95% de Lin=-0.004-0.037).In addition, two participants demonstrated an inverse correlation (r=-0.327, p˂0.429; y r=-0.032, p˂0.941). Related with Bland Altman graph, its function is to describe consistency between two quantitative measurements. In this case, a consistency lack was displayed comparing participants and methods. Neither data results nor methods were uniform. In case they were, a central horizontal trend line between all the data had to be demonstrated (Figure 1). As shown in Table 4, there was not significant difference between method (Banister’s TRIMP or Foster’s) used according to gender.

Participants

Sessions number

R

P

Rc de Lin

IC 95% de Lin

Lower bound

Upper bound

8

61

0.33

0.01

0.012

0.002

0.022

Table 2 Group correlation between Banister’s TRIMP and Foster’s Methods

Participants

Sessions number

R

P

Rc de Lin

IC 95% de Lin

Lower bound

Upper bound

S1

8

0.469

0.241

0.008

-0.007

0.022

S2

5

0.775

0.124

0.009

-0.006

0.024

S3

8

0.121

0.776

0.002

-0.013

0.018

S4

8

0.812(*)

0.014

0.017

-0.004

0.037

S5

8

0.679

0.064

0.01

-0.004

0.023

S6

8

0.39

0.34

0.015

-0.018

0.048

S7

8

-0.327

0.429

-0.008

-0.028

0.012

S8

8

-0.032

0.941

0

-0.01

0.009

Table 3 Individual correlation between Banister’s TRIMP and Foster’s methods

Banister´s TRIMP method

Foster´s method

U de Mann-Whitney

460,000

213,500

Table 4 Differences between Banister’s TRIMP and Foster’s methods according gender

Figure 1 Comparison between Banister’s TRIMP and Foster’s methods.

Discussion

The purpose of this study was in recognized whether Banister’s TRIMP and Foster’s methods were similar to determine TL in Taekwondo adult athletes. There was not significant correlation between both methods. Haddad1 showed that Banister’s TRIMP and Edwards’ TL had a high correlation among them and to evaluate TL too, nevertheless, results were obtained from young athlete participants. In some opportunities HR was overestimated. Moreover, when people get older HRmax trends to diminish.23 The HR variability will be the mechanism which explains the relation among these two methods in young and adult people. Rodas24 explained that a variety of factors affects HR. Some of them are age, physical training, body position, temperature, measurement time, and gender. All these characteristics were presented in this study. Tabben6 proposed that HR is affected by age. When people are getting older, they reduce their maximum HR. This last fact could explain why different results for distinct competitor ages5 were presented. Likewise, an investigation25 established that in adult taekwondo athletes, perceived external effort is overestimated in relation to the internal effort. In addition, Tabben6 showed that gender does not affect the percentages of HR. This might support the lack of significant differences between men and women. In summary both methods can be used to any gender. Taekwondo discipline is an acyclic and intermittent sport. It is characterized for abrupt changes in HR. This rapid changes in physical effort will be the reason for not finding any significance result, because it reduces the correlation among perceived effort and methods employed in this research.19

Conclusion

Banister's TRIMP and Foster methods are not convergent to calculate training loads in Taekwondo adult athletes, because a low correlation between both methods were found. However, Foster method seems reliable to evaluate the training intensities in Taekwondo. This method allows the athlete to show how vigorous the activity was. Banister's TRIMP is not an accurately technique to evaluate training loads.

Acknowledgments

None.

Conflicts of interest

The authors declare no conflicts of interest.

References

  1. Haddad M, Chaouachi A, Castagna C, et al. The convergent validity between two objective methods for quantifying training load in young Taekwondo athletes. J Strength Cond Res. 2012;26(1):206–209.
  2. Carazo-Vargas P, González-Ravé JM, Moncada-Jiménez J, et al. The Periodization model for the Costa Rican Taekwondo Athletes During the 2012 Olympic Games. Strength and Conditioning Journal. 2015;37(3):74–83.
  3. Casolino E, Cortis C, Lupo C, et al. Physiological versus psychological evaluation in Taekwondo elite athletes. Int J Sports Physiol Perform.2012;7(4):322–331.
  4. Chaabène H, Mkaouer B, Franchini E, et al. Physiological Responses and Performance Analysis Difference between Official and Simulated Karate Combat Conditions. Asian J Sports Med. 2014;5(1):21–29.
  5. Haddad M, Chaouachi A, Carlo Castagna P, et al. Validity and psychometric evaluation of the French version of RPE scale in young fit males when monitoring training loads. Science & Sports. 2013;28(2):e29–e35.
  6. Tabben M, Sioud R, Haddad M. et al. Physiological and Perceived Exertion Responses during International Karate Kumite Competition. Asian J Sports Med. 2013;4(4):263–271.
  7. Haddad M, Chaouachi A, Wong DP, et al. Heart Rate Responses and Training Load During Nonspecific and Specific Aerobic Training in Adolescent Taekwondo Athletes. Journal of Human Kinetics. 2011;29(1):59–66.
  8. Bridge CA, Jones MA, Hitchen P, et al. Heart rate responses to Taekwondo training in experienced practitioners. J Strength Cond Res. 2007;1(3):718–723.
  9. Bouhlel E, Jouini A, Gmada N, et al. Heart rate and blood lactate responses during Taekwondo training and competition. Science & Sports. 2006;21(5):285–290.
  10. Bridge CA, McNaughton LR, Close GL, et al. Taekwondo Exercise Protocols do not Recreate the Physiological Responses of Championship Combat. Int J Sports Med. 2013;34(7):573–581.
  11. Markovic G, Vucetic V, Cardinale M. Heart rate and lactate responses to Taekwondo fight in elite women performers. Biology of Sport. 2008;25(2):135–146.
  12. Borresen J, Lambert MI. Quantifying training load: A comparison of subjective and objective methods. Int J Sports Physiol Perform. 2008;3(1):16–30.
  13. Foster C, Florhaug JA, Franklin J, et al. A New Approach to Monitoring Exercise Training. J Strength Cond Res. 2001;15(1):109–115.
  14. Uchida MC, Teixeira LFM, Godoi VJ, et al. Does The Timing of Measurement Alter Session-RPE in Boxers? J Sports Sci Med. 2014;13(1):59–65.
  15. Milanez VF, Spiguel-Lima MC, Gobatto CA, et al. Correlates of session-rate of perceived exertion (RPE) in a karate training session. Science & Sports. 2011;26(1):38–43.
  16. Padulo J, Chaabene H, Tabben M, et al. The construct validity of session RPE during an intensive camp in young male Karate athletes. Muscles Ligaments Tendons J. 2014;4(2):121–126.
  17. Minganti C, Capranica L, Meeusen R, et al. The Use of Session-RPE Method for Quantifying Training Load in Diving. International Journal of Sports Physiology & Performance. 2011;6(3):408–418.
  18. AlexiouH, Coutts AJ. A Comparison of Methods Used for Quantifying Internal Training Load in Women Soccer Players. Int J Sports Physiol Perform. 2008;3(3):320–330.
  19. Lupo C, Capranica L, Tessitore A. The Validity of the Session-RPE Method for Quantifying Training Load in Water Polo. Int J Sports Physiol Perform. 2014;9(4):656–660.
  20. Padulo J, Salernitano G, Maurino L. Validity of RPE Session in Young Male Karate Athletes. Science, Movement and Health. 2014;14(2):182–185.
  21. Muyor JM, Vaquero-Cristóbal R, Alacid F, et al. Percepción subjetiva del esfuerzo como herramienta en el control de la intensidad en la actividad de ciclismo indoor. (Spinning®). Revista de Psicología del Deporte. 2015;24(1):45–52.
  22. Haddad M, Chaouachi A, Carlo Castagna P, et al. The Construct Validity of Session RPE During an Intensive Camp in Young Male Taekwondo Athletes. Int J Sports Physiol Perform. 2011;6(2):252–263.
  23. Nikolaidis PT. Age-predicted vs. measured maximal heart rate in young team sport athletes. Niger Med J. 2014;55(4):314–320.
  24. Rodas G, Pedret C, Ramos J, et al. Variabilidad de la frecuencia cardíaca: concepto, medidas y relación con aspectos clínicos (I). Archivos de Medicina del Deporte. 2008;123:41–47.
  25. Bridge CA, Jones MA, Drust B. Physiological Responses and Perceived Exertion during International Taekwondo Competition. Int J Sports Physiol Perform. 2009;4(4):485–493.
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