Literature DB >> 28859414

Physiological and Biomechanical Mechanisms of Distance Specific Human Running Performance.

M A Thompson1.   

Abstract

SYNOPSIS: Running events range from 60-m sprints to ultra-marathons covering 100 miles or more, which presents an interesting diversity in terms of the parameters for successful performance. Here, we review the physiological and biomechanical variations underlying elite human running performance in sprint to ultramarathon distances. Maximal running speeds observed in sprint disciplines are achieved by high vertical ground reaction forces applied over short contact times. To create this high force output, sprint events rely heavily on anaerobic metabolism, as well as a high number and large cross-sectional area of type II fibers in the leg muscles. Middle distance running performance is characterized by intermediates of biomechanical and physiological parameters, with the possibility of unique combinations of each leading to high-level performance. The relatively fast velocities in mid-distance events require a high mechanical power output, though ground reaction forces are less than in sprinting. Elite mid-distance runners exhibit local muscle adaptations that, along with a large anaerobic capacity, provide the ability to generate a high power output. Aerobic capacity starts to become an important aspect of performance in middle distance events, especially as distance increases. In distance running events, V˙O2max is an important determinant of performance, but is relatively homogeneous in elite runners. V˙O2 and velocity at lactate threshold have been shown to be superior predictors of elite distance running performance. Ultramarathons are relatively new running events, as such, less is known about physiological and biomechanical parameters that underlie ultra-marathon performance. However, it is clear that performance in these events is related to aerobic capacity, fuel utilization, and fatigue resistance. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology 2017. This work is written by US Government employees and is in the public domain in the US.

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Mesh:

Year:  2017        PMID: 28859414     DOI: 10.1093/icb/icx069

Source DB:  PubMed          Journal:  Integr Comp Biol        ISSN: 1540-7063            Impact factor:   3.326


  10 in total

1.  Quantification of aerobic determinants of performance in post-pubertal adolescent middle-distance runners.

Authors:  Richard C Blagrove; Glyn Howatson; Charles R Pedlar; Philip R Hayes
Journal:  Eur J Appl Physiol       Date:  2019-06-17       Impact factor: 3.078

2.  Estimation of energy consumed by middle-aged recreational marathoners during a marathon using accelerometry-based devices.

Authors:  Carlos Hernando; Carla Hernando; Ignacio Martinez-Navarro; Eladio Collado-Boira; Nayara Panizo; Barbara Hernando
Journal:  Sci Rep       Date:  2020-01-30       Impact factor: 4.379

3.  Running Speed Estimation Using Shoe-Worn Inertial Sensors: Direct Integration, Linear, and Personalized Model.

Authors:  Mathieu Falbriard; Abolfazl Soltani; Kamiar Aminian
Journal:  Front Sports Act Living       Date:  2021-03-18

4.  Discriminant Analysis of Anthropometric and Training Variables among Runners of Different Competitive Levels.

Authors:  Mabliny Thuany; Raphael F de Souza; Lee Hill; João Lino Mesquita; Thomas Rosemann; Beat Knechtle; Sara Pereira; Thayse Natacha Gomes
Journal:  Int J Environ Res Public Health       Date:  2021-04-16       Impact factor: 3.390

5.  A Comparative Study of Hematological Parameters of Endurance Runners at Guna Athletics Sport Club (3100 Meters above Sea Level) and Ethiopian Youth Sport Academy (2400 Meters above Sea Level), Ethiopia.

Authors:  Zelalem Tilahun Muche; Diresibachew Haile Wondimu; Milkessa Bayissa Midekssa; Endeshaw Chekol Abebe; Teklie Mengie Ayele; Ediget Abebe Zewdie
Journal:  J Sports Med (Hindawi Publ Corp)       Date:  2021-11-24

Review 6.  Could middle- and long-distance running performance of well-trained athletes be best predicted by the same aerobic parameters?

Authors:  Benedito Sérgio Denadai; Camila Coelho Greco
Journal:  Curr Res Physiol       Date:  2022-06-23

7.  The Ecology of Exercise: Mechanisms Underlying Individual Variation in Behavior, Activity, and Performance: An Introduction to Symposium.

Authors:  Shaun S Killen; Ryan Calsbeek; Tony D Williams
Journal:  Integr Comp Biol       Date:  2017-08-01       Impact factor: 3.326

8.  What are the Limiting Factors During an Ultra-Marathon? A Systematic Review of the Scientific Literature.

Authors:  Arkaitz Garbisu-Hualde; Jordan Santos-Concejero
Journal:  J Hum Kinet       Date:  2020-03-31       Impact factor: 2.193

9.  Analysis of functional variants in mitochondrial DNA of Finnish athletes.

Authors:  Jukka Kiiskilä; Jukka S Moilanen; Laura Kytövuori; Anna-Kaisa Niemi; Kari Majamaa
Journal:  BMC Genomics       Date:  2019-10-29       Impact factor: 3.969

10.  Running Pace Percentile Values for Brazilian Non-Professional Road Runners.

Authors:  Mabliny Thuany; Beat Knechtle; Lee Hill; Thomas Rosemann; Thayse Natacha Gomes
Journal:  Healthcare (Basel)       Date:  2021-06-30
  10 in total

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