ANALYSIS AND COMPARISON OF TRAINING LOAD BETWEEN TWO GROUPS OF WOMEN’S ARTISTIC GYMNASTS RELATED TO THE PERCEPTION OF EFFORT AND THE RATING OF THE PERCEIVED EFFORT SESSION

Authors

  • Paloma Trucharte Martínez Facultad de Ciencias de la Actividad Física y del Deporte – INEF. Universidad Politécnica de Madrid, Spain
  • Ignacio Grande Facultad de Ciencias de la Actividad Física y del Deporte – INEF. Universidad Politécnica de Madrid, Spain

DOI:

https://doi.org/10.52165/sgj.13.1.19-33

Keywords:

training load, internal load, gymnastic

Abstract

The aim of this study was to assess the internal training load in female artistic gymnastics through subjective perception of effort (PSE) by calculating the sRPE variable and different associated variables. Ten gymnasts participated (age: 14.4 ± 2.9 years; height: 1.5 ± 0.1 m; mass: 43.3 ± 12.2 kg) and were divided into two groups according to their competitive level and weekly training volume: High Level Gymnasts (HLG) and Medium Level Gymnasts (MLG). The PSE of each gymnast was recorded daily for four weeks after the end of each training block. The HLG group recorded a significantly higher RPE and sRPE value in the specific physical preparation (SST) and in the parallel technical training (UB) contents (p < 0.05) compared to MLG. Statistically significant differences were also obtained from the registered mean values of RPE and sRPE when comparing training content. Furthermore, a direct relationship between volume and workload was observed. Finally, the variables associated with injury risk control provided relevant information to determine that the HLG group had a higher risk of injury than the MLG group. Therefore, the sRPE has been a useful tool to assess the internal training load in women's artistic gymnastics. Such information may help quantify the load in this sport in the future.

Downloads

Download data is not yet available.

References

Achten, J., & Jeukendrup, A. E. (2003). Heart Rate Monitoring. Sports Medicine, 33(7), 517–538. https://doi.org/10.2165/00007256-200333070-00004

Borresen, J., & Ian Lambert, M. (2009). The Quantification of Training Load, the Training Response and the Effect on Performance. Sports Medicine, 39(9), 779–795. ttps://doi.org/10.2165/11317780-000000000-00000

Bourdon, P. C., Cardinale, M., Murray, A., Gastin, P., Kellmann, M., Varley, M. C., … Cable, N. T. (2017). Monitoring athlete training loads: Consensus statement. International Journal of Sports Physiology and Performance, 12(s2), 161–170. https://doi.org/10.1123/IJSPP.2017-0208

Burt, L., Naughton, G., Higham, D., & Landeo, R. (2008). Training load in pre-pubertal female artistic gymnastics. Science of Gymnastics Journal, 2(3), 5–14. Retrieved from https://www.researchgate.net/publication/230996287

Cavallerio, F., Wadey, R., & Wagstaff, C. R. D. (2016). Understanding overuse injuries in rhythmic gymnastics: A 12-month ethnographic study. Psychology of Sport and Exercise, 25, 100–109. https://doi.org/10.1016/j.psychsport.2016.05.002

Cohen, J. (1988). Set Correlation and Contingency Tables. Applied Psychological Measurement, 12(4), 425–434. https://doi.org/10.1177/014662168801200410

Colby, M. J., Dawson, B., Heasman, J., Rogalski, B., & Gabbett, T. J. (2014). Accelerometer and GPS-Derived Running Loads and Injury Risk in Elite Australian Footballers. Journal of Strength and Conditioning Research, 28(8), 2244–2252. https://doi.org/10.1519/JSC.0000000000000362

Comyns, T., & Flanagan, E. P. (2013). Applications of the Session Rating of Perceived Exertion System in Professional Rugby Union. Strength and Conditioning Journal, 35(6), 78–85. https://doi.org/10.1519/SSC.0000000000000015

Cross, M. J., Williams, S., Trewartha, G., Kemp, S. P. T., & Stokes, K. A. (2016). The influence of in-season training loads on injury risk in professional rugby union. International Journal of Sports Physiology and Performance, 11(3), 350–355. https://doi.org/10.1123/ijspp.2015-0187

Foster, C. (1998). Monitoring training in athletes with reference to overtraining syndrome. Medicine and Science in Sports and Exercise, 30(7), 1164–1168. https://doi.org/10.1097/00005768-199807000-00023

Foster, C., Daines, E., Hector, L., Snyder, A. C., & Welsh, R. (1996). Athletic performance in relation to training load. Wisconsin Medical Journal, 95(6), 370–374. Retrieved from https://europepmc.org/article/med/8693756

Foster, C., Florhaug, J. A., Franklin, J., Gottschall, L., Hrovatin, L. A., Parker, S., … Dodge, C. (2001). A New Approach to Monitoring Exercise Training. Journal of Strength and Conditioning Research, 15(1), 109–115. https://doi.org/10.1519/1533-4287(2001)015<0109:ANATME>2.0.CO;2

Gabbett, T. J. (2016). The training—injury prevention paradox: should athletes be training smarter and harder? British Journal of Sports Medicine, 50(5), 273–280. https://doi.org/10.1136/bjsports-2015-095788

Gabbett, T. J. (2020). Debunking the myths about training load, injury and performance: empirical evidence, hot topics and recommendations for practitioners. British Journal of Sports Medicine, 54(1), 58–66. https://doi.org/10.1136/bjsports-2018-099784

Gabbett, T. J., Nassis, G. P., Oetter, E., Pretorius, J., Johnston, N., Medina, D., … Ryan, A. (2017). The athlete monitoring cycle: a practical guide to interpreting and applying training monitoring data. British Journal of Sports Medicine, 51(20), 1451–1452. https://doi.org/10.1136/bjsports-2016-097298

Harriss, D. J., MacSween, A., & Atkinson, G. (2019). Ethical Standards in Sport and Exercise Science Research: 2020 Update. International Journal of Sports Medicine, 40(13), 813–817. https://doi.org/10.1055/a-1015-3123

Heath, E. M. (1998). Borg’s Perceived Exertion and Pain Scales. Medicine& Science in Sports & Exercise, 30(9), 1461. https://doi.org/10.1249/00005768-199809000-00018

Holt, C. C. (2004). Forecasting seasonals and trends by exponentially weighted moving averages. International Journal of Forecasting, 20(1), 5–10. https://doi.org/10.1016/j.ijforecast.2003.09.015

Hopkins, W. G. (1991). Quantification of Training in Competitive Sports. Sports Medicine, 12(3), 161–183. https://doi.org/10.2165/00007256-199112030-00003

Hulin, B. T., & Gabbett, T. J. (2019). Indeed association does not equal prediction: the never-ending search for the perfect acute:chronic workload ratio. British Journal of Sports Medicine, 53(3), 144–145. https://doi.org/10.1136/bjsports-2018-099448

Hulin, B. T., Gabbett, T. J., Blanch, P., Chapman, P., Bailey, D., & Orchard, J. W. (2014). Spikes in acute workload are associated with increased injury risk in elite cricket fast bowlers. British Journal of Sports Medicine, 48(8), 708–712. https://doi.org/10.1136/bjsports-2013-092524

Keskin, C., Kıraç, F., Kara, Y. E., & Akarun, L. (2013). Real Time Hand Pose Estimation Using Depth Sensors. In Fossati A., Gall J., Grabner H., Ren X., Konolige K. (Eds). Consumer Depth Cameras for Computer Vision (pp. 119–137). London: Springer London.

Malone, S., Hughes, B., Doran, D. A., Collins, K., & Gabbett, T. J. (2019). Can the workload–injury relationship be moderated by improved strength, speed and repeated-sprint qualities? Journal of Science and Medicine in Sport, 22(1), 29–34. https://doi.org/10.1016/j.jsams.2018.01.010

McNair, D. M., Lorr, M., & Droppleman, L. F. (1971). Manual: Profile of Mood States. San Diego: Educational and Industrial Testing Service.

Meeusen, R., & Borms, J. (1992). Gymnastic Injuries. Sports Medicine, 13(5), 337–356. https://doi.org/10.2165/00007256-199213050-00004

Mergel, V., Dörner, R., Khayyat, K., Achler, M., Weber, T., Jagutzki, O., … Schmidt-Böcking, H. (2001). Strong correlations in the He ground state momentum wave function observed in the fully differential momentum distributions for the p + He transfer ionization process. Physical Review Letters, 86(11), 2257–2260. https://doi.org/10.1103/PhysRevLett.86.2257

Minganti, C., Capranica, L., Meeusen, R., Amici, S., & Piacentini, M. F. (2010). The Validity of Sessionrating of Perceived Exertion Method for Quantifying Training Load in Teamgym. Journal of Strength and Conditioning Research, 24(11), 3063–3068. https://doi.org/10.1519/JSC.0b013e3181cc26b9

Morse, D. T. (1999). MINSIZE2: A computer program for determining effect size and minimum sample size for statistical significance for univariate, multivariate, and nonparametric tests. Educational and Psychological Measurement, 59(3), 518–531. https://doi.org/10.1177/00131649921969901

Mujika, I. (2006). Métodos de cuantificación de las cargas de entrenamiento y competición. Kronos: Revista Universitaria de La Actividad Física y El Deporte, (10), 45–54. Retrieved from https://abacus.universidadeuropea.es/handle/11268/3319

Mujika, I. (2013). The Alphabet of Sport Science Research Starts With Q. International Journal of Sports Physiology and Performance, 8(5), 465–466. https://doi.org/10.1123/ijspp.8.5.465

Navarro-Arévalo, A., Cañavate, C., & Sánchez-del-Pino, M. J. (1999). Myocardial and skeletal muscle aging and changes in oxidative stress in relationship to rigorous exercise training. Mechanisms of Ageing and Development, 108(3), 207–217. https://doi.org/10.1016/S0047-6374(99)00013-5

Pereira, G., Souza, D. M. de, Reichert, F. F., & Smirmaul, B. P. C. (2014). Evolução dos conceitos e mecanismos da percepção de esforço: uma revisão de literatura. Revista Brasileira de Cineantropometria e Desempenho Humano, 16(5), 579. https://doi.org/10.5007/1980-0037.2014v16n5p579

Pfeiffer, R. M., Bura, E., Smith, A., & Rutter, J. L. (2002). Two approaches to mutation detection based on functional data. Statistics in Medicine, 21(22), 3447–3464. https://doi.org/10.1002/sim.1269

Rogalski, B., Dawson, B., Heasman, J., & Gabbett, T. J. (2013). Training and game loads and injury risk in elite Australian footballers. Journal of Science and Medicine in Sport, 16(6), 499–503. https://doi.org/10.1016/j.jsams.2012.12.004

Sartor, F., Vailati, E., Valsecchi, V., Vailati, F., & La Torre, A. (2013). Heart Rate Variability Reflects Training Load and Psychophysiological Status in Young Elite Gymnasts. Journal of Strength and Conditioning Research, 27(10), 2782–2790. https://doi.org/10.1519/JSC.0b013e31828783cc

Vailati, C., Mazzoleni, G., Bondi, S., Bussi, M., Testoni, P. A., & Passaretti, S. (2013). Oropharyngeal pH Monitoring for Laryngopharyngeal Reflux: Is It a Reliable Test Before Therapy? Journal of Voice, 27(1), 84–89. https://doi.org/10.1016/j.jvoice.2012.08.006

Viru, A., & Viru, M. (2000). Nature of training effects. In Garrett, J.R., Kirkendall, (Ed.). Exercise and Sport Science, (pp.67-95). Philadelphia, USA: Lippincott Williams & Wilkins.

Williams, S., Trewartha, G., Cross, M. J., Kemp, S. P. T., & Stokes, K. A. (2017). Monitoring What Matters: A Systematic Process for Selecting Training-Load Measures. International Journal of Sports Physiology and Performance, 12(s2), S2-101-S2-106. https://doi.org/10.1123/ijspp.2016-0337

Zintl, F. (1991). Entrenamiento de la resistencia: Barcelona, España: Martínez Roca.

Downloads

Published

2021-02-01

Issue

Section

Articles

How to Cite

Martínez, P. T., & Grande, I. (2021). ANALYSIS AND COMPARISON OF TRAINING LOAD BETWEEN TWO GROUPS OF WOMEN’S ARTISTIC GYMNASTS RELATED TO THE PERCEPTION OF EFFORT AND THE RATING OF THE PERCEIVED EFFORT SESSION. Science of Gymnastics Journal, 13(1), 19-33. https://doi.org/10.52165/sgj.13.1.19-33