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Age of Peak Competitive Performance of Elite Athletes: A Systematic Review

Abstract

Background

Knowledge of the age at which elite athletes achieve peak performance could provide important information for long-term athlete development programmes, event selection and strategic decisions regarding resource allocation.

Objectives

The objective of this study was to systematically review published estimates of age of peak performance of elite athletes in the twenty-first century.

Methods

We searched SPORTDiscus, PubMed and Google Scholar for studies providing estimates of age of peak performance. Here we report estimates as means only for top (international senior) athletes. Estimates were assigned to three event-type categories on the basis of the predominant attributes required for success in the given event (explosive power/sprint, endurance, mixed/skill) and then plotted by event duration for analysis of trends.

Results

For both sexes, linear trends reasonably approximated the relationships between event duration and estimates of age of peak performance for explosive power/sprint events and for endurance events. In explosive power/sprint events, estimates decreased with increasing event duration, ranging from ~27 years (athletics throws, ~1–5 s) to ~20 years (swimming, ~21–245 s). Conversely, estimates for endurance events increased with increasing event duration, ranging from ~20 years (swimming, ~2–15 min) to ~39 years (ultra-distance cycling, ~27–29 h). There was little difference in estimates of peak age for these event types between men and women. Estimations of the age of peak performance for athletes specialising in specific events and of event durations that may best suit talent identification of athletes can be obtained from the equations of the linear trends. There were insufficient data to investigate trends for mixed/skill events.

Conclusion

Differences in the attributes required for success in different sporting events likely contribute to the wide range of peak-performance ages of elite athletes. Understanding the relationships between age of peak competitive performance and event duration should be useful for tracking athlete progression and talent identification.

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References

  1. 1.

    Schulz R, Curnow C. Peak performance and age among superathletes: track and field, swimming, baseball, tennis, and golf. J Gerontol. 1988;43:113–20.

    Article  Google Scholar 

  2. 2.

    Rüst CA, Knechtle B, Knechtle P, et al. Age of peak performance in elite male and female Ironman triathletes competing in Ironman Switzerland, a qualifier for the Ironman world championship, Ironman Hawaii, from 1995 to 2011. Open Access J Sports Med. 2012;3:175–82.

    PubMed Central  PubMed  Google Scholar 

  3. 3.

    Sokolovas G. When will you peak? Swimming World Magazine. 2006;47:37–8.

    Google Scholar 

  4. 4.

    Allen SV, Vandenbogaerde TJ, Hopkins WG. Career performance trajectories of Olympic swimmers: benchmarks for talent development. Eur J Sports Sci. 2014;14:643–51.

    Article  Google Scholar 

  5. 5.

    Hollings SC, Hopkins WG, Hume PA. Age at peak performance of successful track and field athletes. Int J Sports Sci Coach. 2014;9:651–62.

    Article  Google Scholar 

  6. 6.

    Schulz R, Musa D, Staszewski J, et al. The relationship between age and major league baseball performance: implications for development. Psychol Aging. 1994;9:274–86.

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Simonton DK. Age and outstanding achievement: what do we know after a century of research? Psychol Bull. 1988;104:251–67.

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    Gabbard C. Lifelong motor development. San Francisco: Benjamin Cummings; 2004.

    Google Scholar 

  9. 9.

    Salthouse TA. Consequences of age-related cognitive declines. Annu Rev Psychol. 2012;63:201–26.

    PubMed Central  Article  PubMed  Google Scholar 

  10. 10.

    Vaeyens R, Güllich A, Warr CR, et al. Talent identification and promotion programmes of Olympic athletes. J Sports Sci. 2009;27:1367–80.

    Article  PubMed  Google Scholar 

  11. 11.

    Fair RC. Estimated age effects in baseball. J Quant Anal Sports. 2008;4(1):article 1. doi:10.2202/1559-0410.1074.

  12. 12.

    Shoak MA, Knechtle B, Knechtle P, et al. Participation and performance trends in ultracycling. Open Access J Sports Med. 2013;4:41–51.

    PubMed Central  PubMed  Google Scholar 

  13. 13.

    Knechtle B, Rüst CA, Rosemann T, et al. Age-related changes in 100-km ultra-marathon running performance. Age. 2012;34:1033–45.

    PubMed Central  Article  PubMed  Google Scholar 

  14. 14.

    Kovalchik SA. 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. 2014;10:99–107.

    Google Scholar 

  15. 15.

    Rüst CA, Knechtle B, Rosemann T, et al. Sex difference in race performance and age of peak performance in the Ironman Triathlon World Championship from 1983 to 2012. Extrem Physiol Med. 2012;1(1):15. doi:10.1186/2046-7648-1-15.

  16. 16.

    Moher D, Liberati A, Tetzlaff J, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151:264–9.

    Article  PubMed  Google Scholar 

  17. 17.

    Brander JA, Egan EJ, Yeung L. Estimating the effects of age on NHL player performance. J Quant Anal Sports. 2014;10:241–59.

    Google Scholar 

  18. 18.

    Fried HO, Tauer LW. The impact of age on the ability to perform under pressure: golfers on the PGA tour. J Prod Anal. 2011;35:75–84.

    Article  Google Scholar 

  19. 19.

    Wolfrum M, Knechtle B, Rüst CA, et al. Sex-related differences and age of peak performance in breaststroke versus freestyle swimming. BMC Sports Sci Med Rehabil. 2013;5:29. doi:10.1186/2052-1847-5-29.

    PubMed Central  Article  PubMed  Google Scholar 

  20. 20.

    Malcata RM, Hopkins WG, Pearson SN. Tracking career performance of successful triathletes. Med Sci Sports Exerc. 2014;46:1227–34.

    Article  PubMed  Google Scholar 

  21. 21.

    Cejka N, Knechtle B, Rüst CA, et al. Performances and age of the fastest female and male 100-km Ultramarathoners worldwide from 1960 to 2012. J Strength Cond Res. 2015;29:1180–90. doi:10.1519/JSC.0000000000000370.

    Article  PubMed  Google Scholar 

  22. 22.

    Hunter SK, Stevens AA, Magennis K, et al. Is there a sex difference in the age of elite marathon runners? Med Sci Sports Exerc. 2011;43:656–64.

    Article  PubMed  Google Scholar 

  23. 23.

    Rüst CA, Knechtle B, Rosemann T, et al. Analysis of performance and age of the fastest 100-mile ultra-marathoners worldwide. Clinics. 2013;68:605–11.

    PubMed Central  Article  PubMed  Google Scholar 

  24. 24.

    Anderson A. Early identification of talent in cyclo-cross by estimating age-independent ability via probit regression. Int J Perform Anal Sport. 2014;14:153–61.

    Google Scholar 

  25. 25.

    Berthelot G, Len S, Hellard P, et al. Exponential growth combined with exponential decline explains lifetime performance evolution in individual and human species. Age. 2012;34:1001–9.

    PubMed Central  Article  PubMed  Google Scholar 

  26. 26.

    Tilinger P, Kovář K, Hlavatá P. A study on the dynamic progress of performances of prominent world-class athletes in selected track-and-field events. Kinesiology. 2005;37:92–8.

    Google Scholar 

  27. 27.

    Guillaume M, Len S, Tafflet M, et al. Success and decline: top 10 tennis players follow a biphasic course. Med Sci Sports Exerc. 2011;43:2148–54.

    Article  PubMed  Google Scholar 

  28. 28.

    Tiruneh G. Age and winning professional golf tournaments. J Quant Anal Sports. 2010;6. doi:10.2202/1559-0410.1209.

  29. 29.

    Hopkins WG. Spreadsheets for analysis of controlled trials with adjustment for a predictor. Sportscience. 2006;10:46–50.

    Google Scholar 

  30. 30.

    Hopkins WG, Marshall SW, Batterham AM, et al. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41:3–12.

    Article  PubMed  Google Scholar 

  31. 31.

    Smith TB, Hopkins WG. Variability and predictability of finals times of elite rowers. Med Sci Sport Exerc. 2011;43:2155–60.

    Article  Google Scholar 

  32. 32.

    Batterham AM, Hopkins WG. Making meaningful inferences about magnitudes. Int J Sports Physiol Perform. 2006;1:50–7.

    PubMed  Google Scholar 

  33. 33.

    Bartlett R. Introduction to sports biomechanics: analysing human movement patterns. 2nd ed. Oxford: Routledge; 2007.

    Google Scholar 

  34. 34.

    Barbosa TM, Costa MJ, Marinho DA. Proposal of a deterministic model to explain swimming performance. Int J Swim Kinet. 2013;2:1–54.

    Google Scholar 

  35. 35.

    Figueiredo P, Pendergast DR, Vilas-Boas JP, et al. Interplay of biomechanical, energetic, coordinative, and muscular factors in a 200 m front crawl swim. Biomed Res Int. 2013;2013:897232. doi:10.1155/2013/897232.

    PubMed Central  PubMed  Google Scholar 

  36. 36.

    Balyi I. Specialization in sport, a tricky business. Canadian Sport For Life; 2010. http://canadiansportforlife.ca/sites/default/files/resources/C1%20Specialization.pdf. Accessed 22 Sept 2014.

  37. 37.

    Lepers R, Sultana F, Bernard T, et al. Age-related changes in triathlon performances. Int J Sports Med. 2010;31:251–6.

    CAS  Article  PubMed  Google Scholar 

  38. 38.

    Zaryski C, Smith DJ. Training principles and issues for ultra-endurance athletes. Curr Sports Med Rep. 2005;4:165–70.

    Article  PubMed  Google Scholar 

  39. 39.

    Gastin P. Energy system interaction and relative contribution during maximal exercise. Sports Med. 2001;31:725–41.

    CAS  Article  PubMed  Google Scholar 

  40. 40.

    Baxter-Jones ADG, Sherar LB. Growth and maturation. In: Armstrong N, editor. Paediatric exercise physiology. Edinburgh: Elsevier Limited; 2006. p. 1–30.

    Google Scholar 

Download references

Compliance with ethical standards

Neither author (Sian V. Allen or Will G. Hopkins) has any conflicts of interest to declare with regard to this publication. No funding was received for the conduct of this review and/or the preparation of this manuscript.

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Correspondence to Sian V. Allen.

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Allen, S.V., Hopkins, W.G. Age of Peak Competitive Performance of Elite Athletes: A Systematic Review. Sports Med 45, 1431–1441 (2015). https://doi.org/10.1007/s40279-015-0354-3

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Keywords

  • Endurance Event
  • Elite Athlete
  • Event Duration
  • Peak Performance
  • Tennis Player