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The relationships between age and running performance variables in master runners

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Abstract

Purpose

Peak aerobic capacity (\(\dot {V}{{\text{O}}_{{\text{2peak}}}}\)) declines with age, but running economy (RE) may not. We evaluated VO2peak and RE in master runners and determined whether age is associated with these measures.

Methods

In a cross-sectional study, runners completed two running tests within 4 weeks of a goal race of 10–26.2 miles. Subjects ran for 5 min at 88% of predicted maximum heart rate, approximating a marathon-intensity effort (MIE), then performed a \(\dot {V}{{\text{O}}_{{\text{2peak}}}}\) test. Running economy in the MIE was measured using oxygen cost with body mass scaled allometrically (\({\text{allo}}\dot {V}{{\text{O}}_{\text{2}}}\)); energy cost (EC), determined using caloric equivalents; and percent of \(\dot {V}{{\text{O}}_{{\text{2peak}}}}\) (%\(\dot {V}{{\text{O}}_{{\text{2peak}}}}\)). Pearson’s correlations were used to determine relationships between age and running performance variables.

Results

Runners (n = 31, 13 females; mean age 54.9 ± 8.4 years) had a mean VO2peak of 52.5 ± 7.9 ml O2 kg−1 min−1. Age was significantly correlated with \(\dot {V}{{\text{O}}_{{\text{2peak}}}}\) (r = − 0.580, p = 0.001) and \({\text{allo}}\dot {V}{{\text{O}}_{\text{2}}}\) (r = − 0.454, p = 0.034). Age was related to EC in females (r = 0.649, p = 0.042) and MIE \(\dot {V}{{\text{O}}_{\text{2}}}\) in males (r = − 0.600, p = 0.039).

Conclusions

In this population, age was negatively associated with \(\dot {V}{{\text{O}}_{{\text{2peak}}}}\) and \({\text{allo}}\dot {V}{{\text{O}}_{\text{2}}}\). Females showed a positive relationship between age and EC, while males had a negative correlation between age and MIE \(\dot {V}{{\text{O}}_{\text{2}}}\). Aerobic capacity declines with age, but there may be sex differences in age-related alterations to submaximal running.

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References

  1. Lepers R, Cattagni T (2012) Do older athletes reach limits in their performance during marathon running? Age 34(3):773–781. https://doi.org/10.1007/s11357-011-9271-z

    Article  PubMed  Google Scholar 

  2. Lepers R, Stapley PJ (2016) Master athletes are extending the limits of human endurance. Front Physiol 7:613. https://doi.org/10.3389/fphys.2016.00613

    Article  PubMed  PubMed Central  Google Scholar 

  3. Tanaka H, Seals DR (2008) Endurance exercise performance in Masters athletes: age-associated changes and underlying physiological mechanisms. J Physiol 586(1):55–63. https://doi.org/10.1113/jphysiol.2007.141879

    Article  CAS  PubMed  Google Scholar 

  4. Lambert MI, Keytel LR (2000) Training habits of top runners in different age groups in a 56 km race. South Afr J Sports Med 7(2):27–32

    Google Scholar 

  5. Brisswalter J, Nosaka K (2013) Neuromuscular factors associated with decline in long-distance running performance in master athletes. Sports Med 43(1):51–63

    Article  Google Scholar 

  6. Brisswalter J, Wu SSX, Sultana F, Bernard T, Abbiss CR (2014) Age difference in efficiency of locomotion and maximal power output in well-trained triathletes. Eur J Appl Physiol 114(12):2579–2586. https://doi.org/10.1007/s00421-014-2977-8

    Article  PubMed  Google Scholar 

  7. Joyner MJ (1993) Physiological limiting factors and distance running: influence of gender and age on record performances. Exerc Sport Sci Rev 21(1):103–134

    Article  CAS  Google Scholar 

  8. Reaburn P, Dascombe B (2008) Endurance performance in masters athletes. Eur Rev Aging Phys Act 5(1):31–42. https://doi.org/10.1007/s11556-008-0029-2

    Article  Google Scholar 

  9. Tanaka H, Seals DR (2003) Invited review: dynamic exercise performance in masters athletes: insight into the effects of primary human aging on physiological functional capacity. J Appl Physiol 95(5):2152

    Article  Google Scholar 

  10. Reed JL, Gibbs JC (2016) Marathon training: gender and age aspects. In: Zinner C, Sperlich B (eds) Marathon running: physiology, psychology, nutrition and training aspects. Springer, Cham, pp 125–152. https://doi.org/10.1007/978-3-319-29728-6_7

    Chapter  Google Scholar 

  11. Wiswell RA, Jaque SV, Marcell TJ, Hawkins SA, Tarpenning KM, Constantino N, Hyslop DM (2000) Maximal aerobic power, lactate threshold, and running performance in master athletes. Med Sci Sports Exerc 32(6):1165–1170. https://doi.org/10.1097/00005768-200006000-00021

    Article  CAS  PubMed  Google Scholar 

  12. Berg K (2003) Endurance training and performance in runners. Sports Med 33(1):59–73. https://doi.org/10.2165/00007256-200333010-00005

    Article  PubMed  Google Scholar 

  13. Costill DL, Thomason H, Roberts E (1973) Fractional utilization of the aerobic capacity during distance running. Med Sci Sports Exerc 5(4):248–252

    Article  CAS  Google Scholar 

  14. Morgan DW, Bransford DR, Costill DL, Daniels J, Howley ET, Krahenbuhl GS (1995) Variation in the aerobic demand of running among trained and untrained subjects. Med Sci Sports Exerc 27(3):404–409

    Article  CAS  Google Scholar 

  15. Daniels J, Daniels N (1992) Running economy of elite male and elite female runners. Med Sci Sports Exerc 24(4):483–489

    Article  Google Scholar 

  16. Joyner MJ, Coyle EF (2008) Endurance exercise performance: the physiology of champions. J Physiol 586(1):35–44. https://doi.org/10.1113/jphysiol.2007.143834

    Article  CAS  PubMed  Google Scholar 

  17. Allen WK, Seals DR, Hurley BF, Ehsani AA, Hagberg JM (1985) Lactate threshold and distance-running performance in young and older endurance athletes. J Appl Physiol 58(4):1281–1284

    Article  CAS  Google Scholar 

  18. Evans SL, Davy KP, Stevenson ET, Seals DR (1995) Physiological determinants of 10-km performance in highly trained female runners of different ages. J Appl Physiol 78(5):1931

    Article  CAS  Google Scholar 

  19. Barnes KR, Kilding AE (2015) Running economy: measurement, norms, and determining factors. Sports Med Open 1(1):1–15. https://doi.org/10.1186/s40798-015-0007-y

    Article  Google Scholar 

  20. Bergh U, Sjödin B, Forsberg A, Svedenhag J (1991) The relationship between body mass and oxygen uptake during running in humans. Med Sci Sports Exerc 23(2):205–211

    Article  CAS  Google Scholar 

  21. Costill DL (1972) Physiology of marathon running. JAMA 221(9):1024–1029. https://doi.org/10.1001/jama.1972.03200220058013

    Article  CAS  PubMed  Google Scholar 

  22. Basset DR Jr, Howley ET (2000) Limiting factors for maximum oxygen uptake and determinants of endurance performance. Med Sci Sports Exerc 32(1):70

    Article  Google Scholar 

  23. Londeree BR, Thomas TR, Ziogas G, Smith TD, Zhang Q (1995) %VO2max versus %HRmax regressions for six modes of exercise. Med Sci Sports Exerc 27(3):458–461

    Article  CAS  Google Scholar 

  24. Swain DP, Abernathy KS, Smith CS, Lee SJ, Bunn SA (1994) Target heart rates for the development of cardiorespiratory fitness. Med Sci Sports Exerc 26(1):112–116

    CAS  PubMed  Google Scholar 

  25. Tanaka H, Monahan KD, Seals DR (2001) Age-predicted maximal heart rate revisited. J Am Coll Cardiol 37(1):153–156. https://doi.org/10.1016/S0735-1097(00)01054-8

    Article  CAS  PubMed  Google Scholar 

  26. Péronnet F, Massicotte D (1991) Table of nonprotein respiratory quotient: an update. Can J Sport Sci 16(1):23–29

    PubMed  Google Scholar 

  27. Braun WA, Paulson S (2012) The effects of a downhill running bout on running economy. Res Sports Med 20(3):274–285

    Article  Google Scholar 

  28. Borg GA, Noble BJ (1974) Perceived exertion. Exerc Sport Sci Rev 2(1):131–154

    Article  CAS  Google Scholar 

  29. Fletcher JR, Esau SP, MacIntosh BR (2009) Economy of running: beyond the measurement of oxygen uptake. J Appl Physiol 107(6):1918–1922. https://doi.org/10.1152/japplphysiol.00307.2009

    Article  PubMed  Google Scholar 

  30. Buskirk ER, Hodgson JL (1987) Age and aerobic power: the rate of change in men and women. Fed Proc 46(5):1824–1829

    CAS  PubMed  Google Scholar 

  31. Fitzgerald MD, Tanaka H, Tran ZV, Seals DR (1997) Age-related declines in maximal aerobic capacity in regularly exercising vs. sedentary women: a meta-analysis. J Appl Physiol 83(1):160

    Article  CAS  Google Scholar 

  32. Hagberg JM (1987) Effect of training on the decline of VO2max with aging. Fed Proc 46(5):1830–1833

    CAS  PubMed  Google Scholar 

  33. Hawkins SA, Wiswell RA (2003) Rate and mechanism of maximal oxygen consumption decline with aging. Sports Med 33(12):877–888. https://doi.org/10.2165/00007256-200333120-00002

    Article  PubMed  Google Scholar 

  34. Hodgson JL, Buskirk ER (1977) Physical fitness and age, with emphasis on cardiovascular function in the elderly†. J Am Geriatr Soc 25(9):385–392. https://doi.org/10.1111/j.1532-5415.1977.tb00671.x

    Article  CAS  PubMed  Google Scholar 

  35. Katzel LI, Sorkin JD, Fleg JL (2001) A comparison of longitudinal changes in aerobic fitness in older endurance athletes and sedentary men. J Am Geriatr Soc 49(12):1657–1664. https://doi.org/10.1111/j.1532-5415.2001.49276.x

    Article  CAS  PubMed  Google Scholar 

  36. Maharam LG, Bauman PA, Kalman D, Skolnik H, Perle SM (1999) Masters athletes: factors affecting performance. Sports Med 28(4):273–285. https://doi.org/10.2165/00007256-199928040-00005

    Article  CAS  PubMed  Google Scholar 

  37. Wilson TM, Tanaka H (2000) Meta-analysis of the age-associated decline in maximal aerobic capacity in men: relation to training status. Am J Physiol Heart Circ Physiol 278(3):H829

    Article  CAS  Google Scholar 

  38. Quinn TJ, Manley MJ, Aziz J, Padham JL, MacKenzie AM (2011) Aging and factors related to running economy. J Strength Cond Res 25(11):483–489

    Article  Google Scholar 

  39. Saunders PU, Pyne DB, Telford RD, Hawley JA (2004) Factors affecting running economy in trained distance runners. Sports Med 34(7):465–485. https://doi.org/10.2165/00007256-200434070-00005

    Article  PubMed  Google Scholar 

  40. Burgess TL, Lambert MI (2010) The effects of training, muscle damage and fatigue on running economy. Int Sport Med J 11(4):363–379

    Google Scholar 

  41. Støren Ø, Helgerud J, Hoff J (2011) Running stride peak forces inversely determine running economy in elite runners. J Strength Cond Res 25(1):117–123. https://doi.org/10.1519/JSC.0b013e3181b62c8a

    Article  PubMed  Google Scholar 

  42. Cavagna GA, Legramandi MA, Peyré-Tartaruga LA (2008) Old men running: mechanical work and elastic bounce. Proc Biol Sci 275(1633):411–418

    Article  Google Scholar 

  43. Chopra AR, Tanaka H (2003) Age and gender interactions in physiological functional capacity. Med Sci Sports Exerc 35(5):S245

    Article  Google Scholar 

  44. Fleg JL, Lakatta EG (1988) Role of muscle loss in the age-associated reduction in VO2max. J Appl Physiol 65(3):1147

    Article  CAS  Google Scholar 

  45. Booth FW, Weeden SH, Tseng BS (1994) Effect of aging on human skeletal muscle and motor function. Med Sci Sports Exerc 26(5):556–560

    Article  CAS  Google Scholar 

  46. Billat LV, Demarle A, Paiva M, Koralsztein JP (2002) Effect of training on the physiological factors of performance in elite marathon runners (males and females). Int J Sports Med 23(05):336–341. https://doi.org/10.1055/s-2002-33265

    Article  CAS  PubMed  Google Scholar 

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Correspondence to Emma J. Lee.

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This study was funded by NIH grant R01 HL208962-05. The authors have no conflicts of interest to report.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This study was approved by the Institutional Review Board at the University of Minnesota.

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Lee, E.J., Snyder, E.M. & Lundstrom, C.J. The relationships between age and running performance variables in master runners. Sport Sci Health 15, 543–550 (2019). https://doi.org/10.1007/s11332-019-00543-3

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