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Do biological maturity and performance influence the training load of track and field athletes?

A maturação sexual e o desempenho influenciam a carga de treinamento de atletas de atletismo?

Abstract

It is necessary to clarify if BM and track and field performance can modulate the perception about RPE-session. The purpose of the present study was to verify if biological maturity and track and field-specific performance can be associated with training load (RPE-session method). Seventy-five young athletes (13-15 years old) of both genders participated in the present study. The experimental protocol lasted seven consecutive days. Performance tests (75-m running, long jump, 250-m running, shot put and 1000-m running) were made on the first day. After 48 hours, five days of track and field training it was prescribed, each day represents a training of each performance test. All training sessions had the same duration (120 min). The value of the training load was obtained multiplying the RPE value with training session duration (in minutes). For girls, the training load of 250-m training was correlated with biological maturity (r = -0.36, p = 0.02, n = 37) and specific performance (r = 0.33, p = 0.04, n = 37). All other analyzes indicate that biological maturity and track and field-specific performance do not influence the training load based on RPE-session method. Training load based on RPE-session is not influenced by biological maturity and track and field-specific performance, therefore can be used to control the training load of young track and field athletes. To girls it is necessary a care to control the training sessions intensity of 250-m running.

Key words
Monitoring; Physical exertion; Training

Resumo

É necessário esclarecer se a maturação biológica e o desempenho no atletismo podem modular a PSE da sessão. O objetivo do presente estudo foi verificar se a maturidade biológica e o desempenho específico no atletismo podem estar associados à carga de treinamento (método de PSE da sessão). Setenta e cinco jovens atletas (13-15 anos) de ambos os sexos participaram do presente estudo. O protocolo experimental durou sete dias consecutivos. Testes de desempenho (75 m de corrida, salto em distância, 250 m de corrida, arremesso de peso e 1000 m de corrida) foram feitos no primeiro dia. Após 48 horas, cinco dias de treinamento de atletismo foram prescritos, cada dia representa um treinamento de cada teste de desempenho. Todas as sessões de treinamento tiveram a mesma duração (120 min). O valor da carga de treinamento foi obtido multiplicando o valor do PSE com a duração da sessão de treinamento (em minutos). Para as meninas, a carga de treinamento de 250 m foi correlacionada com a maturidade biológica (r = -0,36, p = 0,02, n = 37) e desempenho específico (r = 0,33, p = 0,04, n = 37). Todas as outras análises indicam que a maturidade biológica e o desempenho específico no atletismo não influenciam a carga de treinamento com base no método da PSE da sessão. A carga de treinamento com base na PSE da sessão não é influenciada pela maturidade biológica e desempenho específico no atletismo, portanto, pode ser usada para controlar a carga de treinamento de jovens atletas de atletismo. Para as meninas é necessário cuidado para controlar a intensidade das sessões de treino de 250m de corrida.

Palavras-chave
Esforço físico; Monitoramento; Treinamento

INTRODUCTION

One of the main objectives of sports training is increases the performance. In order to reach this objective it is necessary a harmonic relationship between the training load (TL) and adequate recovery11 Borresen J, Lambert MI. The quantification of training load, the training response and the effect on performance. Sport Med 2009;39(9):779–95.,22 Meeusen R, Duclos M, Foster C, Fry A, Gleeson M, Nieman D, et al. Prevention, diagnosis and treatment of the overtraining syndrome: Joint consensus statement of the European College of Sport Science (ECSS) and the American College of Sports Medicine (ACSM). Eur J Sport Sci 13:1–24.. In this sense, quantify the TL is critical to the success of training. It was proposed a method to control the TL based on the RPE-training session33 Foster C, Daines E, Hector L, Snyder AC, Welsh R. Athletic performance in relation to training load. Wis Med J 1996;95(6):370–4.,44 Foster C, Florhaug JA, Franklin J, Gottschall L, Hrovatin LA, Parker S, et al. A new approach to monitoring exercise training. J Strength Cond Res 2001 Feb;15(1).. In this way, there are several studies demonstrating the scientific validity and practical application of this method11 Borresen J, Lambert MI. The quantification of training load, the training response and the effect on performance. Sport Med 2009;39(9):779–95.,55 Suzuki S, Sato T, Maeda A, Takahashi Y. Program design based on a mathematical model using rating of perceived exertion for an elite japanese sprinter: acase study. J Strength Cond Res 2006;20(1):36–42.77 Lambert M, Borresen J. A theoretical basis of monitoring fatigue: a practical approach for coaches. Int J Sports Sci Coach 2006;1(4):371–88.. To track and field, we already demonstrated that girls have more RPE-training sessions than boys to running training-sessions (endurance and resistance of speed)88 Cruz R, Alves DL, Azevedo R, Bertuzzi R, De-Oliveira FR, Lima JRP. Monitoring the training intensity and recovery with a psychometrics approach: a gender comparison with young athletes. Motriz: J Phys Ed 2017;23(3):1–5.. Collectively, these studies have suggested that RPE-training session is sensitive enough to indicate how the athletes perceive the training intensity.

Despite the TL be considered important to athletic performance optimization, the biological maturity (BM) also must be considered, in particular, in young athletes (13 – 15 years). For example, Figueiredo, Coelho e Silva and Malina99 Figueiredo AJ, Coelho e Silva MJ, Malina RM. Predictors of functional capacity and skill in youth soccer players. Scand J Med Sci Sports 2011;21(3):446–54. demonstrated that the subjects with advanced BM stage have greater anthropometric development and better performance in aerobic and anaerobic tests. In addition, study showed that chronological and maturational age, training experience and body size lead to individual differences among young female basketball players1010 Leonardi TJ, Paes RR, Breder L, Foster C, Gonçalves CE, Carvalho HM. Biological maturation, training experience, body size and functional capacity of adolescent female basketball players: A Bayesian analysis. Int J Sports Sci Coach 2018;1747954118772489.. Besides the physical changes, alters caused by BM could influence physical activity level, psychological status and behavior1111 Malina RM, Bouchard C, Bar-Or O. Growth, maturation, and physical activity. Human Kinetics; 2004.1313 Cripps AJ, Joyce C, Woods CT, Hopper LS. Biological maturity and the anthropometric, physical and technical assessment of talent identified U16 Australian footballers. Int J Sports Sci Coach 2017;12(3):344–50.. Therefore, it is possible to hypothesize that the psychometric variables could be influenced by BM. Nonetheless, to the best of our knowledge, there are no studies that have investigated the possible association between BM and TL, more specifically based on the method of RPE-training session.

Concerning about the performance of a physical test can influence the RPE-training session, there are previous investigations demonstrating that1414 Marcelino PR, de Arruda AFS, Oliveira R de, Saldanha Aoki M, Freitas CG, Moreira A. ¿ El nivel de condición física puede influir en la magnitud de la carga interna del entrenamiento en jóvenes jugadores de baloncesto? Rev Andaluza Med del Deport 2013;6(3):115–9.1616 Milanez VF, Pedro RE, Moreira A, Boullosa DA, Salle-Neto F, Nakamura FY. The role of aerobic fitness on session rating of perceived exertion in futsal players. Int J Sport Physiol Perform 2011;6(3):358–66.. An investigation with professional basketball players, it was demonstrated that the subjects with better performance on Yo-Yo Test tend to report lower values of RPE-training session (r = -0.68, p = 0.06, n = 8)1515 Manzi V, D’Ottavio S, Impellizzeri FM, Chaouachi A, Chamari K, Castagna C. Profile of Weekly Training Load in Elite Male Professional Basketball Players. J Strength Cond Res 2010;24(5):1399–406.. This result was corroborated by Marcelino et al.1414 Marcelino PR, de Arruda AFS, Oliveira R de, Saldanha Aoki M, Freitas CG, Moreira A. ¿ El nivel de condición física puede influir en la magnitud de la carga interna del entrenamiento en jóvenes jugadores de baloncesto? Rev Andaluza Med del Deport 2013;6(3):115–9. that indicated young basketball players with better performance in Yo-Yo Test reported lower RPE-training session values, showed a negative correlation between variables (r = -0.80, p < 0.05, n = 12). In this sense, Milanez et al.1616 Milanez VF, Pedro RE, Moreira A, Boullosa DA, Salle-Neto F, Nakamura FY. The role of aerobic fitness on session rating of perceived exertion in futsal players. Int J Sport Physiol Perform 2011;6(3):358–66. found a significant association (r = -0.75, p < 0.05, n = 9) between VO2max in incremental test on the treadmill and RPE-training session. Despite important advances to understand how the RPE-training session can be influenced by Yo-Yo test (aerobic fitness) it is necessary to further investigate about this topic, considering more tests based on different sports to ensure the ecological validity. Our previous study shown that for training of 250 and 1000-meters females related higher RPE-values than males, and this difference persisted even when biological maturity effect was controlled. Taken together, besides the understanding established previously about how girls and boys could perceived different the track and field training-session88 Cruz R, Alves DL, Azevedo R, Bertuzzi R, De-Oliveira FR, Lima JRP. Monitoring the training intensity and recovery with a psychometrics approach: a gender comparison with young athletes. Motriz: J Phys Ed 2017;23(3):1–5.; it is necessary to clarify if BM and track and field performance can modulate the perception about training-session.

Faced with the need to understand how the RPE-training session could be influenced, the purpose of this study was to verify if the BM and specific performance (SP) could be associated with TL based on RPE-training session.

METHOD

Participants

Seventy-five young athletes, of the same category (under-16) of both genders (38 boys and 37 girls) participated in the present study. All participants and their respective responders received a verbal explanation about this research and written informed consent before participation in the study. The study was approved by the local Ethics Committee for Human Studies (number 945.274) and was performed in accordance with the ethical standards laid down in the Declaration of Helsinki.

Design

The experimental sessions were performed for seven consecutive days. In the first session, it was performed anthropometric measures, filled out an anamnesis and track and field performance tests. The disciplines that were considered for performance tests represent running (75, 250 and 1000-m running), jump (long jump) and throw (shot put). After 48 hours of the first session, five consecutive days of track and field training was prescribed, each day represent a typical training of each SP test. All the athletes were instructed to avoid foods containing caffeine and refrain from any exhaustive or unaccustomed exercise during the preceding 24 h of the first day. During the days of training sessions they were instructed to keep their same pattern of feed. 30 minutes after each training sessions it was asked to athletes the RPE-training session.

Procedures

  • Anthropometry measurements and biological maturity

Anthropometry measurements were performed according to the procedures described by ISAK1717 MacDougall JD, Wenger HA, Green HJ. Physiological testing of the high-performance athlete. Champaign, Ill.: Human Kinetics Books; 1991.. Participants were weighed to the nearest 0.1 kg using an electronic scale (Filizola, model ID 1500, São Paulo, Brazil). Height was measured to the nearest 0.1 cm using a portable stadiometer (Welmy, model W200/5, Santa Bárbara d´Oeste, Brazil). Skinfold thickness was measured to the nearest 0.1 mm at four body sites (i.e. subscapularis, supra iliac, triceps and leg) using an adipometer (Sanny, Model Classic Scientific, São Bernardo do Campo - Brazil). The median of three values of skinfolds it was used.

The method of The Predicted Mature Stature (PMS) was used to estimate the BM. This non-invasive method was proposed by Khamis and Roche1818 Khamis HJ, Roche AF. Predicting adult stature without using skeletal age: the Khamis-Roche method. Vol. 94, Pediatrics. Am Acad Pediatrics; 1994. p. 504–7.,1919 Khamis HJ, Roche AF. Growth Outcome of “Normal” Short Children who are Retarded in Skeletal Maturation. J Pediatr Endocrinol Metab 1995;8(2):85–96. and is based on decimal age, anthropometry measurements of athletes (weight and stature), and their parents. The equation has specific coefficients for each variable, according to the age of the subject. PMS express the stature that the athletes could reach in the adulthood. The percentage of PMS (PPMS) it is obtained by the following equation, PPMS = 100*(Current Height/PMS). Besides that, this method has been largely used to estimate the biological maturity88 Cruz R, Alves DL, Azevedo R, Bertuzzi R, De-Oliveira FR, Lima JRP. Monitoring the training intensity and recovery with a psychometrics approach: a gender comparison with young athletes. Motriz: J Phys Ed 2017;23(3):1–5.,2020 Bidaurrazaga-Letona I, Carvalho HM, Lekue JA, Santos-Concejero J, Figueiredo AJ, Gil SM. Longitudinal field test assessment in a Basque soccer youth academy: A multilevel modeling framework to partition effects of maturation. Int J Sports Med 2015;36(3):234–40.,2121 Valente-Dos-Santos J, Coelho-E-Silva MJ, Machado-Rodrigues AM, Elferink-Gemser MT, Malina RM, Petroski ÉL, et al. Prediction equation for lower limbs lean soft tissue in circumpubertal boys using anthropometry and biological maturation. Plos One 2014;9(9):e107219..

  • Performance tests

To increase the ecological validity of the present study the SP tests were determined in accordance with Brazilian Track and Field Federation that considers for this category of these official disciplines. The choose of performance tests have considered one discipline to represent speed (75 m), resistance of speed (250 m), endurance running (1000 m), jump (long jump) and throw (shot put). To performance test it was considered the following order: 75-m, long jump, 250-m, shot put and 1000-m. There was 15 minutes to recovery between the tests and was given 5 minutes to warm-up again. Before the performance tests the athletes performed 10-min to warm-up and 5 minutes to light stretching. On the track tests, the athletes were encouraged to cover the distance as fast as possible, as well as, on the field tests the athletes were motivated to jump and throw the more distance possible.

The tests of speed (75-m running) and resistance of speed (250-m running) were performed individually, the test was started after the commands “On your marks, set, go”. To the 1000-m running the athletes were divided into groups by gender and of up to 12 runners, and then performed the test on a 400-m track and field. The participants were instructed to finish the race as quickly as possible. To the field tests were given 3 attempts for each athlete on the long jump and also shot put. It was considered at least 5 minutes between each attempt.

  • Training Sessions

The aim of training sessions were reproduced the typical training of each discipline of track and field to the under-16 category. Previously experimental procedures, all coaches were consulted and ensured that their athletes were familiarized with structure and all activities proposed. All training sessions have the same structure and duration, they have 120 minutes, divided by warm-up (10 min) and stretching (5 min), main part (90 min) and active recovery (jogging and lightly stretching – 15 min). The table 1 summarized the characteristics of the main part of each training session.

Table 1
Descriptive characteristics of training sessions.
  • Training Load

To estimate the TL it was used the RPE-method, 30 minutes after the training session was asked to athletes “How was your workout?”. The value of TL is obtained by multiplying the RPE value with training session duration (in minutes).

Statistical Analysis

Data normality was assessed by Kolmogorov Smirnov. The results of the descriptive statistics were reported as means and SD. Spearman’s Who correlation was used to analyze the relationship between TL with BM and SP. Statistical significance was set at p < 0.05.

RESULTS

The mean of age was 14.30 ± 0.85 14.55 ± 0.82, to boys and girls, respectvelly. Additionaly, the BM based PPMS (%) to boys was 94.26 ± 4.18 and to girls 98.00 ± 1.49. Further descriptive characteristics has been described in detail previously88 Cruz R, Alves DL, Azevedo R, Bertuzzi R, De-Oliveira FR, Lima JRP. Monitoring the training intensity and recovery with a psychometrics approach: a gender comparison with young athletes. Motriz: J Phys Ed 2017;23(3):1–5.. The table 2 presents the SP tests of participants.

Table 2
Specific performance tests (mean ± SD).

The table 3 shown the TL of all training. The training session of long jump had the lowest value of TL, while the training session of 1000 meters had the highest value of TL.

Table 3
Values of training load of each training session (mean ± SD).

The table 4 shown the result of Spearman’s Who correlation. Even though the significant result between the TL of 250-m training session with BM and SP (weak association and only to girls), a general way, there is no the relationship between this variables. In this sense, the method to control the TL based on RPE-training session is safety even young athletes within the BM process and SP.

Table 4
Spearman’s Who correlation.

DISCUSSION

The aim of the present study was to verify if the BM and SP could be associated with TL based on RPE-training session. It was found that there were not relationship between these variables. To the best of our knowledge, this is the first study to consider the BM and SP could to influence the athletes RPE-training session. This result suggests and supports that coaches and researchers of sports can use the RPE-training session method to quantify the TL with young athletes during the BM process and different performance in track and field training.

Recent studies have demonstrated the endurance level can influence de RPE-training session1414 Marcelino PR, de Arruda AFS, Oliveira R de, Saldanha Aoki M, Freitas CG, Moreira A. ¿ El nivel de condición física puede influir en la magnitud de la carga interna del entrenamiento en jóvenes jugadores de baloncesto? Rev Andaluza Med del Deport 2013;6(3):115–9.1616 Milanez VF, Pedro RE, Moreira A, Boullosa DA, Salle-Neto F, Nakamura FY. The role of aerobic fitness on session rating of perceived exertion in futsal players. Int J Sport Physiol Perform 2011;6(3):358–66., indicating the athletes with higher VO2max perceived lower values of RPE-training session, and therefore, lower TL values. These studies suggested that a great recovery is caused by advanced aerobic metabolism; hence, the mechanism related to Phosphocreatine resynthesis allows athletes to have a faster recovery and lower feel of fatigue1515 Manzi V, D’Ottavio S, Impellizzeri FM, Chaouachi A, Chamari K, Castagna C. Profile of Weekly Training Load in Elite Male Professional Basketball Players. J Strength Cond Res 2010;24(5):1399–406.,1616 Milanez VF, Pedro RE, Moreira A, Boullosa DA, Salle-Neto F, Nakamura FY. The role of aerobic fitness on session rating of perceived exertion in futsal players. Int J Sport Physiol Perform 2011;6(3):358–66.. The test to determine the endurance fitness of athletes was Yo-Yo test, and it was chosen because is similar to the game dynamic (basketball and futsal). Furthermore, another study highlighted the importance of physical fitness to determine the TL2222 Los Arcos A, Martínez-Santos R, Yanci J, Mendiguchia J, Méndez-Villanueva A. Negative associations between perceived training load, volume and changes in physical fitness in professional soccer players. J Sports Sci Med 2015;14(2):394.,2323 Halson SL. Monitoring Training Load to Understand Fatigue in Athletes. Vol. 44, Sports Medicine. Springer; 2014. p. 139–47.. For this reason, for track and field is important to consider specifics tests of performance, additionally, these tests must represent (or must be similar) the disciplines of this modality.

The results of the present study indicated that SP of track and field does not influence the TL of any kind training session (speed, resistance of speed, jump, throws and endurance). In accordance with methodological procedures propose by Foster et al.44 Foster C, Florhaug JA, Franklin J, Gottschall L, Hrovatin LA, Parker S, et al. A new approach to monitoring exercise training. J Strength Cond Res 2001 Feb;15(1)., the athletes must indicate how was felt about the training. In this sense, the SP could not influence this indicate because during the track and field training sessions exercises is stipulated based on individual parameters, thereby, the physical efforts are relativized by athletes themselves. The values of association to girls (r = 0.33, p = 0.04, n = 37) during the 250-m training session were significant, despite that, slightly more than 10% can explain by the relationship between both variables. Therefore, during the training sessions with an anaerobic capacity characteristic, the girls have lower performance on disciplines predominantly lactic-anaerobic, such as 250-m running2424 Hegge AM, Myhre K, Welde B, Holmberg HC, Sandbakk Ø. Are gender differences in upper-body power generated by elite cross-country skiers augmented by increasing the intensity of exercise? Plos One 2015;10(5):e0127509.2727 Weber CL, Chia M, Inbar O. Gender differences in anaerobic power of the arms and legs-a scaling issue. Med Sci Sports Exerc 2006;38(1):129. need a special attention concerning the TL. How it was described in this investigation, regardless of young athletes, it is important to consider the BM. A previous studies showed that older runners (under 16) showed higher acceleration (15m) and modified agility test to younger runners (under 14)2828 Yanci J, Cámara J, Vizcay JJ, Young WB. Examining age and gender effects in physical performance in young athletes aged 12–16 years. Int J Sports Sci Coach 2016;11(4):538–44., suggests that BM should be considered when the physical and technical parameters are evaluated. In this sense, studies have been demonstrating his implication of physical development and performance99 Figueiredo AJ, Coelho e Silva MJ, Malina RM. Predictors of functional capacity and skill in youth soccer players. Scand J Med Sci Sports 2011;21(3):446–54.,1111 Malina RM, Bouchard C, Bar-Or O. Growth, maturation, and physical activity. Human Kinetics; 2004..

A study with 143 young football players, Figueiredo et al.99 Figueiredo AJ, Coelho e Silva MJ, Malina RM. Predictors of functional capacity and skill in youth soccer players. Scand J Med Sci Sports 2011;21(3):446–54. demonstrated that the performance in predictors of functional capacities (younger 37%, older 58%) and soccer skills tests (younger 26%, older 18%) had a great association with BM. In another study, Jones et al.2929 Jones MA, Hitchen PJ, Stratton G. The importance of considering biological maturity when assessing physical fitness measures in girls and boys aged 10 to 16 years. Ann Hum Biol 2000;27(1):57–65. have indicated the performance in the vertical jump, hand grip strength and the 20-m shuttle run test it was also associate with BM. A recent study found that BM influenced the anthropometric and physical performance determinants of Australian Football1313 Cripps AJ, Joyce C, Woods CT, Hopper LS. Biological maturity and the anthropometric, physical and technical assessment of talent identified U16 Australian footballers. Int J Sports Sci Coach 2017;12(3):344–50.. Malina et al.1111 Malina RM, Bouchard C, Bar-Or O. Growth, maturation, and physical activity. Human Kinetics; 2004. highlighted that psychological factor is changed during BM. In this sense, it is rational to consider with according to the BM stage, the perceptions variable could be altered. However, our result indicated that there was not a significant association between TL based on RPE-training session and BM. This result corroborates with the case of SP. Once again, the RPE-training session method resists the different stage of BM, this fact, can be explained because track and field’s training session often is relativized per athlete. Moreover, our methodological procedure was well controlled and prescribed for each athlete, what has strengthened these result.

Concerning the girls, it must be considered there was a significant association BM and TL of 250-m, in which the most advanced BM have indicated lower values of TL (r = -0.36, p = 0.02, n = 37). As was happen with SP and TL, we preconized that during training sessions with this characteristics, coaches must be more careful concern girls training. For the training sessions with other characteristics, such as, speed, jumps and throws, our results indicated that the RPE-training session, in a general way, does not suffer the influence of BM stage.

CONCLUSIONS

In summary, the results of the present study have indicated that TL based on RPE-training session is not influenced by BM and track and field SP, therefore can be used to control the TL of young track and field athletes. To girls it is necessary a care to control the training sessions intensity of 250-m running.

Acknowledgements

The authors thank CAPES for scholarship and all teams and athletes of track and field for their participation.

How to cite this article

  • Cruz R, Alves DL, Domingos PR, Freitas JV, Werneck FZ, Bertuzzi R, De-Oliveira FR, Lima JRP. Do biological maturity and performance influence the training load of track and field athletes? Rev Bras Cineantropom Desempenho Hum2019, 21:e60662. DOI: http://dx.doi.org/10.1590/1980-0037.2019v21e60662

COMPLIANCE WITH ETHICAL STANDARDS

  • Funding
    This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. This study was funded by the authors.
  • Ethical approval
    Ethical approval was obtained from the local Human Research Ethics Committee –Federal University of Juiz de Fora and the protocol (no.34366814.7.0000.5147) was written in accordance with the standards setby the Declaration of Helsinki.

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Publication Dates

  • Publication in this collection
    17 Oct 2019
  • Date of issue
    2019

History

  • Received
    13 Dec 2018
  • Accepted
    20 July 2019
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