Literature DB >> 21522074

Personal best time and training volume, not anthropometry, is related to race performance in the 'Swiss Bike Masters' mountain bike ultramarathon.

Beat Knechtle1, Patrizia Knechtle, Thomas Rosemann, Oliver Senn.   

Abstract

We investigated in 73 male ultraendurance mountain bikers, with (mean and SD) age 39.1 (8.6) years, weight 74.4 (8.3) kg, height 1.78 (0.07) m, and a body mass index of 23.3 (1.9) kg·m⁻², whether variables of anthropometry, training, or prerace experience were associated with race time using bi and multivariate analysis. Our investigation was conducted at the "Swiss Bike Masters," which covers a distance of 120 km and an altitude of 5,000 m. In the bivariate analysis, body mass index (r = 0.29), circumference of upper arm (r = 0.28), sum of upper body skinfolds (r = 0.38), sum of lower body skinfolds (r = 0.25), sum of 8 skinfolds (r = 0.36), percent body fat (r = 0.41), total cycling kilometers per year (r = -0.47), yearly volume in both mountain bike (r = -0.33) and road cycling (r = -0.52), number of training units per week (r = -0.48), distance per unit in road cycling (r = -0.33), average speed during training in road cycling (r = -0.33), and personal best time in the "Swiss Bike Masters"(r = 0.67) were related to race time. In the multiple linear regression analysis, personal best time in the "Swiss Bike Masters" (p = 0.000), total yearly cycling kilometers (p = 0.004), and yearly training kilometers in road cycling (p = 0.017) were related to race time. When the personal best time was the dependent variable in a separate regression model, total yearly cycling kilometers (p = 0.002) remained the single predictor variable. We concluded that finishing a particular mountain bike ultramarathon does not seem to require a special anthropometry but rather a specific skill and experience for this selective kind of race coupled with a high training volume. For practical use, we concluded that successful athletes in a mountain bike ultramarathon, in a special environment and using sophisticated equipment, need prerace experience coupled with high training volume, rather than any special anthropometry.

Mesh:

Year:  2011        PMID: 21522074     DOI: 10.1519/JSC.0b013e3181d85ac4

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  13 in total

1.  What is the age for the fastest ultra-marathon performance in time-limited races from 6 h to 10 days?

Authors:  Beat Knechtle; Fabio Valeri; Matthias Alexander Zingg; Thomas Rosemann; Christoph Alexander Rüst
Journal:  Age (Dordr)       Date:  2014-10-04

2.  The aspect of experience in ultra-triathlon races.

Authors:  Beat Knechtle; Matthias Alexander Zingg; Thomas Rosemann; Christoph Alexander Rüst
Journal:  Springerplus       Date:  2015-06-19

3.  Analysis of performance and age of the fastest 100-mile ultra-marathoners worldwide.

Authors:  Christoph Alexander Rüst; Beat Knechtle; Thomas Rosemann; Romuald Lepers
Journal:  Clinics (Sao Paulo)       Date:  2013-05       Impact factor: 2.365

4.  Age and gender difference in non-drafting ultra-endurance cycling performance - the 'Swiss Cycling Marathon'.

Authors:  Matthias Zingg; Beat Knechtle; Christoph A Rüst; Thomas Rosemann; Romuald Lepers
Journal:  Extrem Physiol Med       Date:  2013-06-04

5.  Participation and performance trends in 'Ultraman Hawaii' from 1983 to 2012.

Authors:  Dimirela Meili; Beat Knechtle; Christoph Alexander Rüst; Thomas Rosemann; Romuald Lepers
Journal:  Extrem Physiol Med       Date:  2013-08-01

6.  Personal best times in an Olympic distance triathlon and in a marathon predict Ironman race time in recreational male triathletes.

Authors:  Christoph Alexander Rüst; Beat Knechtle; Patrizia Knechtle; Thomas Rosemann; Romuald Lepers
Journal:  Open Access J Sports Med       Date:  2011-08-22

7.  Master runners dominate 24-h ultramarathons worldwide-a retrospective data analysis from 1998 to 2011.

Authors:  Matthias Zingg; Christoph Alexander Rüst; Romuald Lepers; Thomas Rosemann; Beat Knechtle
Journal:  Extrem Physiol Med       Date:  2013-07-01

8.  Sex and age-related differences in performance in a 24-hour ultra-cycling draft-legal event - a cross-sectional data analysis.

Authors:  Lara Pozzi; Beat Knechtle; Patrizia Knechtle; Thomas Rosemann; Romuald Lepers; Christoph Alexander Rüst
Journal:  BMC Sports Sci Med Rehabil       Date:  2014-05-15

9.  Age group performances in 100 km and 100 miles ultra-marathons.

Authors:  Christoph A Rüst; Thomas Rosemann; Matthias A Zingg; Beat Knechtle
Journal:  Springerplus       Date:  2014-07-01

10.  Prediction of half-marathon race time in recreational female and male runners.

Authors:  Beat Knechtle; Ursula Barandun; Patrizia Knechtle; Matthias A Zingg; Thomas Rosemann; Christoph A Rüst
Journal:  Springerplus       Date:  2014-05-16
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