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Age-related changes in 100-km ultra-marathon running performance

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Abstract

The aims of this study were (1) to investigate the participation and performance trends at the ‘100 km Lauf Biel’ in Switzerland from 1998 to 2010, and (2) to compare the age-related changes in 100-km running performance between males and females. For both sexes, the percent of finishers significantly (P < 0.01) decreased for the 18–29 and the 30–39-year age groups, while it significantly (P < 0.01) increased for the 40–49 and the 50–59-year age groups over the studied period. From 1998 to 2010, the mean age of the top ten finishers increased by 0.4 years per annum for both females (P = 0.02) and males (P = 0.003). The running time for the top ten finishers remained stable for females, while it significantly (P = 0.001) increased by 2.4 min per annum for males. There was a significant (P < 0.001) age effect on running times for both sexes. The best 100-km running times was observed for the age comprised between 30 and 49 years for males, and between 30 and 54 years for females, respectively. The age-related decline in running performance was similar until 60–64 years between males and females, but was greater for females compared to males after 65 years. Future studies should investigate the lifespan from 65 to 75 years to better understand the performance difference between male and female master ultra-marathoners.

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References

  • Baker AB, Tang YQ (2010) Aging performance for masters records in athletics, swimming, rowing, cycling, triathlon, and weightlifting. Exp Aging Res 36:453–477

    Article  PubMed  Google Scholar 

  • Baker AB, Tang YQ, Turner MJ (2003) Percentage decline in masters superathlete track and field performance with aging. Exp Aging Res 29:47–65

    Article  PubMed  CAS  Google Scholar 

  • Balmer J, Bird S, Davison R (2008) Indoor 16.1-km time-trial performance in cyclists aged 25–63 years. J Sports Sci 26:57–62

    Article  PubMed  Google Scholar 

  • Bernard T, Sultana F, Lepers R, Hausswirth C, Brisswalter J (2010) Age-related decline in Olympic triathlon performance: effect of locomotion mode. Exp Aging Res 36:64–78

    Article  PubMed  Google Scholar 

  • Bernis C, Reher DS (2007) Environmental contexts of menopause in Spain: comparative results from recent research. Menopause 14:777–787

    Article  PubMed  Google Scholar 

  • Bracher A, Knechtle B, Gnädinger M, Bürge J, Knechtle P, Rüst CA, Rosemann T (2011) Fluid intake and changes in limbs volume in male ultra-marathoners—does fluid overload lead to peripheral oedema? Eur J Appl Physiol doi:10.1007/s00421-011-2056-3

  • Burfoot A (2007) The history of the marathon: 1976-present. Sports Med 37:284–287

    Article  PubMed  Google Scholar 

  • Bürge J, Knechtle B, Knechtle P, Gnädinger M, Rüst CA, Rosemann T (2011) Maintained serum sodium in male ultra-marathoners—the role of fluid intake, vasopressin and aldosterone in fluid and electrolyte regulation. Horm Metab Res (in press)

  • Chevalier L, Hajjar M, Douard H, Cherief A, Dindard JM, Sedze F, Ricard R, Vincent MP, Corneloup L, Gencel L, Carre F (2009) Sports-related acute cardiovascular events in a general population: a French prospective study. Eur J Cardiovasc Prev Rehabil 16:365–370

    Article  PubMed  Google Scholar 

  • Compston J (2009) Clinical and therapeutic aspects of osteoporosis. Eur J Radiol 71:388–391

    Article  PubMed  Google Scholar 

  • Donato AJ, Tench K, Glueck DH, Seals DR, Eskurza I, Tanaka H (2003) Declines in physiological functional capacity with age: a longitudinal study in peak swimming performance. J Appl Physiol 94:764–769

    Article  PubMed  Google Scholar 

  • Dratva J, Gómez Real F, Schindler C, Ackermann-Liebrich U, Gerbase MW, Probst-Hensch NM, Svanes C, Omenaas ER, Neukirch F, Wjst M, Morabia A, Jarvis D, Leynaert B, Zemp E (2009) Is age at menopause increasing across Europe? Results on age at menopause and determinants from two population-based studies. Menopause 16:385–394

    Article  PubMed  Google Scholar 

  • Ely MR, Cheuvront SN, Roberts WO, Montain SJ (2007) Impact of weather on marathon-running performance. Med Sci Sports Exerc 39:487–493

    Article  PubMed  Google Scholar 

  • Fleg JL, Lakatta EG (1988) Role of muscle loss in the age-associated reduction in VO2max. J Appl Physiol 65:1147–1151

    PubMed  CAS  Google Scholar 

  • Fuchi T, Iwaoka K, Higuchi M, Kobayashi S (1989) Cardiovascular changes associated with decreased aerobic capacity and aging in long-distance runners. Eur J Appl Physiol 58:884–889

    Article  CAS  Google Scholar 

  • Gibson JH, Harries M, Mitchell A, Godfrey R, Lunt M, Reeve J (2000) Determinants of bone density and prevalence of osteopenia among female runners in their second to seventh decades of age. Bone 26:591–598

    Article  PubMed  CAS  Google Scholar 

  • Guo SS, Zeller C, Chumlea WC, Siervogel RM (1999) Aging, body composition, and lifestyle: the Fels Longitudinal Study. Am J Clin Nutr 70:405–411

    PubMed  CAS  Google Scholar 

  • Hagberg JM, Zmuda JM, McCole SD, Rodgers KS, Ferrell RE, Wilund KR, Moore GE (2001) Moderate physical activity is associated with higher bone mineral density in postmenopausal women. J Am Geriatr Soc 49:1411–1417

    Article  PubMed  CAS  Google Scholar 

  • Ho SC, Wu S, Chan SG, Sham A (2010) Menopausal transition and changes of body composition: a prospective study in Chinese perimenopausal women. Int J Obes (Lond) 34:1265–1274

    Article  CAS  Google Scholar 

  • Hoffman MD (2010) Performance trends in 161-km ultramarathons. Int J Sports Med 31:31–37

    Article  PubMed  CAS  Google Scholar 

  • Hoffman MD, Wegelin JA (2009) The Western States 100-Mile Endurance Run: participation and performance trends. Med Sci Sports Exerc 41:2191–2198

    Article  PubMed  Google Scholar 

  • Hoffman MD, Ong JC, Wang G (2010) Historical analysis of participation in 161 km ultramarathons in North America. Int J Hist Sport 27:1877–1891

    Article  PubMed  Google Scholar 

  • Hunter SK, Stevens AA, Magennis K, Skelton KW, Fauth M (2011) Is there as sex difference in the age of elite marathon runners? Med Sci Sports Exerc 43:656–664

    PubMed  Google Scholar 

  • Jokl P, Sethi PM, Cooper AJ (2004) Master's performance in the New York City Marathon 1983–1999. Br J Sports Med 38:408–412

    Article  PubMed  CAS  Google Scholar 

  • Kim HJ, Lee YH, Kim CK (2009) Changes in serum cartilage oligomeric matrix protein (COMP), plasma CPK and plasma hs-CRP in relation to running distance in a marathon (42.195 km) and an ultra-marathon (200 km) race. Eur J Appl Physiol 105:765–770

    Article  PubMed  CAS  Google Scholar 

  • Knechtle B, Wirth A, Knechtle P, Kohler G (2009) Change of body composition in an 81 year old runner in a 100 km run. Praxis (Bern 1994) 98:143–149

    Article  CAS  Google Scholar 

  • Knechtle B, Knechtle P, Rosemann T, Lepers R (2010a) Predictor variables for a 100-km race time in male ultra-marathoners. Percept Mot Skills 111:681–693

    Article  PubMed  Google Scholar 

  • Knechtle B, Wirth A, Knechtle P, Rosemann T (2010b) Training volume and personal best time in marathon, not anthropometric parameters, are related with performance in male 100 km ultra-runners. J Strength Cond Res 24:604–609

    Article  PubMed  Google Scholar 

  • Knechtle B, Knechtle P, Rosemann T, Lepers R (2010c) Predictor variables for 100 km race time in female ultra-marathoners. Med Sport 14:214–220

    Google Scholar 

  • Knechtle B, Knechtle P, Rosemann T, Senn O (2011) What is associated with race performance in male 100 km ultra-marathoners: anthropometry, training or marathon best time? J Sports Sci 29:571–577

    Article  PubMed  Google Scholar 

  • Knobloch K, Yoon U, Vogt PM (2008) Acute and overuse injuries correlated to hours of training in master running athletes. Foot Ankle Int 29:671–676

    Article  PubMed  Google Scholar 

  • Korhonen MT, Mero AA, Alén M, Sipilä S, Häkkinen K, Liikavainio T, Viitasalo JT, Haverinen MT, Suominen H (2009) Biomechanical and skeletal muscle determinants of maximal running speed with aging. Med Sci Sports Exerc 41:844–856

    Article  PubMed  Google Scholar 

  • Lemmer JT, Hurlbut DE, Martel TBL, Ivey FM, Metter EJ, Fozard JL, Fleg JL, Hurley BF (2003) Age and gender responses to strength training and detraining. Med Sci Sports Exerc 32:1505–1512

    Google Scholar 

  • Lepers R, Cattagni T (2011) Do older athletes reach limits in their performance duringmarathon running? Age (Dordr). doi:10.1007/s11357-011-9271-z

  • Lepers R, Maffiuletti NA (2011) Age and gender interactions in ultraendurance performance: insight from the triathlon. Med Sci Sports Exerc 43:134–139

    PubMed  Google Scholar 

  • Leyk D, Erley O, Ridder D, Leurs M, Rüther T, Wunderlich M, Sievert A, Baum K, Essfeld D (2007) Aged-related changes in marathon and halfmarathon performances. Int J Sports Med 28:513–527

    Article  PubMed  CAS  Google Scholar 

  • Leyk D, Erley O, Gorges W, Ridder D, Rüther T, Wunderlich M, Sievert A, Essfeld D, Piekarski C, Erren T (2009) Performance, training and lifestyle parameters of marathon runners aged 20–80 years: results of the PACE-study. Int J Sports Med 30:360–365

    Article  PubMed  CAS  Google Scholar 

  • Okonek CC (1996) Longitudinal analysis of change in sports performance of women between the ages of 30 and 75: a comparison between peak and leisure sports participation. Z Gerontol Geriatr 29:127–135

    PubMed  CAS  Google Scholar 

  • Proctor DN, Joyner MJ (1997) Skeletal muscle mass and the reduction of VO2max in trained older subjects. J Appl Physiol 82:1411–1415

    PubMed  CAS  Google Scholar 

  • Ransdell LB, Vener J, Huberty J (2009) Master athletes: an analysis of running, swimming and cycling performance by age and gender. J Exerc Sci Fit 7:S61–S73

    Article  Google Scholar 

  • Reaburn P, Dascombe B (2008) Endurance performance in masters athletes. Eur Rev Aging Phys Act 5:31–42

    Article  Google Scholar 

  • Robine JM, Paccaud F (2005) Nonagenarians and centenarians in Switzerland, 1860–2001: a demographic analysis. J Epidemiol Community Health 59:31–37

    Article  PubMed  Google Scholar 

  • Savidan A, Junker C, Cerny T, Ess S (2010) Premature deaths in Switzerland from 1995-2006: causes and trends. Swiss Med Wkly 140:w13077

    PubMed  Google Scholar 

  • Schulz R, Curnow C (1988) Peak performance and age among superathletes: track and field, swimming, baseball, tennis, and golf. J Gerontol 43:113–120

    Google Scholar 

  • Shaw KL, Ostrow A (2005) Motivation and psychological skills in the senior athlete. Eur Rev Aging Phys Act 2:22–34

    Google Scholar 

  • Sowers M, Zheng H, Tomey K, Karvonen-Gutierrez C, Jannausch M, Li X, Yosef M, Symons J (2007) Changes in body composition in women over six years at midlife: ovarian and chronological aging. J Clin Endocrinol Metab 92:895–901

    Article  PubMed  CAS  Google Scholar 

  • Spirduso WW, Francis KL, MacRae PG (2005) Physical dimensions of aging, 2nd edn. Human Kinetics, Champaign, pp 287–316

    Google Scholar 

  • Sternfeld B, Wang H, Quesenberry CP Jr, Abrams B, Everson-Rose SA, Greendale GA, Matthews KA, Torrens JI, Sowers M (2004) Physical activity and changes in weight and waist circumference in midlife women: findings from the Study of Women's Health Across the Nation. Am J Epidemiol 160:912–922

    Article  PubMed  Google Scholar 

  • Striegel H, Simon P, Wurster C, Niess AM, Ulrich R (2006) The use of nutritional supplements among master athletes. Int J Sports Med 27:236–241

    Article  PubMed  CAS  Google Scholar 

  • Tanaka H, Seals DR (2003) Invited review: dynamic exercise performance in masters athletes: insight into effects of primary human aging on physiological functional capacity. J Appl Physiol 95:2152–2162

    PubMed  Google Scholar 

  • Tanaka H, Seals DR (2008) Endurance exercise performance in masters athletes: age-associated changes and underlying physiological mechanisms. J Appl Physiol 586:55–63

    CAS  Google Scholar 

  • Taunton JE, Ryan MB, Clement DB, McKenzie DC, Lloyd-Smith DR, Zumbo BD (2002) A retrospective case-control analysis of 2002 running injuries. Br J Sports Med 36:95–101

    Article  PubMed  CAS  Google Scholar 

  • Trappe S (2007) Marathon runners: how do they age? Sports Med 37:302–305

    Article  PubMed  Google Scholar 

  • Vihma T (2010) Effects of weather on the performance of marathon runners. Int J Biometeorol 54:297–306

    Article  PubMed  Google Scholar 

  • Wanner P (1998) Demographic study of ages and causes of death which contribute to gender disparities in life expectancy–case of Switzerland (1969–1993). Rev Epidemiol Sante Publique 46:76–84

    PubMed  CAS  Google Scholar 

  • Wegelin JA, Hoffman MD (2011) Variables associated with odds of finishing and finish time in a 161-km ultramarathon. Eur J Appl Physiol 111:145–153

    Article  PubMed  Google Scholar 

  • Weiss EP, Spina RJ, Holloszy JO, Ehsani AA (2006) Gender differences in the decline in aerobic capacity and its physiological determinants during the later decades of life. J Appl Physiol 101:938–944

    Article  PubMed  Google Scholar 

  • Wright VJ, Perricelli BC (2008) Age-related rates of decline in performance among elite senior athletes. Am J Sports Med 36:443–450

    Article  PubMed  Google Scholar 

  • Young BW, Starkes JL (2005) Career-span analyses of track performance: longitudinal data present a more optimistic view of age-related performance decline. Exp Aging Res 31:69–90

    Article  PubMed  Google Scholar 

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Acknowledgements

We thank Mary Miller for her help in translation.

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Authors and Affiliations

  1. Facharzt FMH für Allgemeinmedizin, Gesundheitszentrum St. Gallen, Vadianstrasse 26, 9001, St. Gallen, Switzerland

    Beat Knechtle

  2. Institute of General Practice and Health Services Research, University of Zurich, Zurich, Switzerland

    Beat Knechtle, Christoph Alexander Rüst & Thomas Rosemann

  3. INSERM U887, Faculty of Sport Sciences, University of Burgundy, Dijon, France

    Romuald Lepers

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  1. Beat Knechtle
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Correspondence to Beat Knechtle.

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Knechtle, B., Rüst, C.A., Rosemann, T. et al. Age-related changes in 100-km ultra-marathon running performance. AGE 34, 1033–1045 (2012). https://doi.org/10.1007/s11357-011-9290-9

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