Age of peak performance in Olympic sports: A comparative research among disciplines

Authors

  • Aldo F. Longo National Center of High Performance Athletics (CeNARD), Buenos Aires, Argentina
  • Carlos R. Siffredi National Entity of High Performance Athletics (ENARD), Buenos Aires, Argentina
  • Marcelo L. Cardey National Center of High Performance Athletics (CeNARD), Buenos Aires, Argentina
  • Gustavo D. Aquilino National Center of High Performance Athletics (CeNARD), Buenos Aires, Argentina
  • Néstor A. Lentini National Center of High Performance Athletics (CeNARD), Buenos Aires, Argentina

DOI:

https://doi.org/10.14198/jhse.2016.111.03

Keywords:

Olympic sports, Peak performance, Decimal age, Regression trees

Abstract

This research aimed to study the ages of peak performance in Olympic sport disciplines, and to distinguish age groups among them. The ages (in decimal years) of athletes with the best performances at the 2012 Summer Olympics were considered (n = 3548). A total of forty sport disciplines were included; the athletics events were classified in six disciplines: Sprint, Middle-distance, Long-distance, Combined, Jumping and Throwing. A full statistical summary was produced. A regression tree was proposed for each gender to discriminate groups of sport disciplines according to age. The ages ranged from 14.0 to 52.8 years. The 72% of the athletes aged between 20 and 30 years, and the 99% aged below 40 years. The mean ages for men and women were 27.0 and 26.2 years, respectively. The regression tree analysis generated four groups of sport disciplines in men, and five in women. In men, the mean ages of the groups were: Group 1 = 24.4, Group 2 = 25.9, Group 3 = 28.0 and Group 4 = 30.8. In women, the mean ages of the groups were: Group 1 = 19.9, Group 2 = 22.7, Group 3 = 24.6, Group 4 = 26.5 and Group 5 = 28.3. The combat, gymnastics and swimming disciplines located mostly in the youngest groups in men; a similar tendency was evidenced in women, except for the combat sports. Apart from Combined, all athletics disciplines located in the groups 4 and 5 in women. On the contrary, these disciplines sited mainly in the groups 1 and 2 in men. All game and nautical sports placed in the two eldest groups in both genders, excluding women Water Polo.

Downloads

Download data is not yet available.

References

Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984). Classification and regression trees. Belmont, CA: Wadsworth International Group.

Bompa, T. O. (1999). Periodization: Theory and methodology of training. 4th ed. Champaign, IL: Human Kinetics, pp. 17-18.

Elmenshawy, A. R., Machin, D. R., & Tanaka, H. (2015). A rise in peak performance age in female athletes. Age (Dordr), 37(3), 9795. https://doi.org/10.1007/s11357-015-9795-8

Harre, D. (1982). Principles of sports training: Introduction to the theory and methods of training. 1st ed. Berlin: Sportverlag, pp. 11-14.

Hollings, S. C., Hopkins, W. G., & Hume, P. A. (2014). Age at peak performance of successful track & field athletes. Int J Sports Sci Coach, 9(4), pp. 651-661. https://doi.org/10.1260/1747-9541.9.4.651

Hunter, S. K., Stevens, A. A., Magennis, K., Skelton, K. W., & Fauth, M. (2011). Is there a sex difference in the age of elite marathon runners? Med Sci Sports Exerc, 43(4), 656-664. https://doi.org/10.1249/MSS.0b013e3181fb4e00

International Olympic Committee (2015). Official website. Retrieved March 2015, from http://www.olympics.org.

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning with applications in R. New York, NY: Springer. https://doi.org/10.1007/978-1-4614-7138-7

Kovalchik, S. A. (2014). The older they rise the younger they fall: Age and performance trends in men's professional tennis from 1991 to 2012. J Quant Anal Sports, 10(2), pp. 99-107. https://doi.org/10.1515/jqas-2013-0091

Malcata, R. M., Hopkins, W. G., & Pearson, S. N. (2014). Tracking career performance of successful triathletes. Med Sci Sports Exerc, 46(6), 1227-1234. https://doi.org/10.1249/MSS.0000000000000221

Matveyev, L. (1981). Fundamentals of sports training. Moscow: Progress Publishers, pp. 31.

Morgan, D. P. (2006). The essential guide to SAS dates and times. Cary, NC: SAS Institute Inc., pp. 93.

Platonov, V. N. (1997). General theory of athletes' preparation in the Olympic sports. Kiev: Olympic Literature, pp. 54.

R Core Team (2015). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: http://www.R-project.org.

Smith, D. J. (2003). A framework for understanding the training process leading to elite performance. Sports Med, 33(15), pp. 1103-1126. https://doi.org/10.2165/00007256-200333150-00003

Valcke, J. (2010). Olympic Football tournaments, London 2012 - Men's and women's tournaments. Circular no. 1218. Consulted 27 May 2015. Available at http://resources.fifa.com/mm/document/affederation/administration/01/18/04/45/circularno.1218-olympicfootballtournamentslondon2012-mensandwomenstournaments.pdf.

Verkhoshansky, Y. (2002). Teoría y metodología del entrenamiento deportivo [Spanish translation]. Barcelona: Paidotribo, pp. 21.

Wikipedia: The free encyclopedia. (2015). FL: Wikimedia Foundation, Inc. Retrieved March 2015, from http://www.wikipedia.org.

Wolfrum, M., Knechtle, B., Rüst, C. A., Rosemann, T., & Lepers, R. (2013). Sex-related differences and age of peak performance in breaststroke versus freestyle swimming. BMC Sports Sci Med Rehabil, 5:29. https://doi.org/10.1186/2052-1847-5-29

Wood, R. J. (2015). Equestrian at the Olympics. Consulted 14 March 2015. Available at http://www.topendsports.com/events/summer/sports/equestrian.htm.

Zahradník, D., & Korvas, P. (2012). The introduction into sports training. Brno: Masaryk University, Chapter 2.

Downloads

Statistics

Statistics RUA

Published

2016-12-25

How to Cite

Longo, A. F., Siffredi, C. R., Cardey, M. L., Aquilino, G. D., & Lentini, N. A. (2016). Age of peak performance in Olympic sports: A comparative research among disciplines. Journal of Human Sport and Exercise, 11(1), 31–41. https://doi.org/10.14198/jhse.2016.111.03

Issue

Section

Performance Analysis of Sport