Literature DB >> 27295717

Tracking Performance Changes With Running-Stride Variability When Athletes Are Functionally Overreached.

Joel T Fuller, Clint R Bellenger, Dominic Thewlis, John Arnold, Rebecca L Thomson, Margarita D Tsiros, Eileen Y Robertson, Jonathan D Buckley.   

Abstract

PURPOSE: Stride-to-stride fluctuations in running-stride interval display long-range correlations that break down in the presence of fatigue accumulated during an exhaustive run. The purpose of the study was to investigate whether long-range correlations in running-stride interval were reduced by fatigue accumulated during prolonged exposure to a high training load (functional overreaching) and were associated with decrements in performance caused by functional overreaching.
METHODS: Ten trained male runners completed 7 d of light training (LT7), 14 d of heavy training (HT14) designed to induce a state of functional overreaching, and 10 d of light training (LT10) in a fixed order. Running-stride intervals and 5-km time-trial (5TT) performance were assessed after each training phase. The strength of long-range correlations in running-stride interval was assessed at 3 speeds (8, 10.5, and 13 km/h) using detrended fluctuation analysis.
RESULTS: Relative to performance post-LT7, time to complete the 5TT was increased after HT14 (+18 s; P < .05) and decreased after LT10 (-20 s; P = .03), but stride-interval long-range correlations remained unchanged at HT14 and LT10 (P > .50). Changes in stride-interval long-range correlations measured at a 10.5-km/h running speed were negatively associated with changes in 5TT performance (r -.46; P = .03).
CONCLUSIONS: Runners who were most affected by the prolonged exposure to high training load (as evidenced by greater reductions in 5TT performance) experienced the greatest reductions in stride-interval long-range correlations. Measurement of stride-interval long-range correlations may be useful for monitoring the effect of high training loads on athlete performance.

Entities:  

Keywords:  fatigue; long-range correlation; nonlinear dynamics; overreaching; overtraining syndrome

Mesh:

Year:  2016        PMID: 27295717     DOI: 10.1123/ijspp.2015-0618

Source DB:  PubMed          Journal:  Int J Sports Physiol Perform        ISSN: 1555-0265            Impact factor:   4.010


  4 in total

1.  Moving the Lab into the Mountains: A Pilot Study of Human Activity Recognition in Unstructured Environments.

Authors:  Brian Russell; Andrew McDaid; William Toscano; Patria Hume
Journal:  Sensors (Basel)       Date:  2021-01-19       Impact factor: 3.576

2.  The Impact of Functional Overreaching on Post-exercise Parasympathetic Reactivation in Runners.

Authors:  Clint R Bellenger; Rebecca L Thomson; Kade Davison; Eileen Y Robertson; Jonathan D Buckley
Journal:  Front Physiol       Date:  2021-01-08       Impact factor: 4.566

3.  Monitoring Gait Complexity as an Indicator for Running-Related Injury Risk in Collegiate Cross-Country Runners: A Proof-of-Concept Study.

Authors:  Allison H Gruber; James McDonnell; John J Davis; Jacob E Vollmar; Jaroslaw Harezlak; Max R Paquette
Journal:  Front Sports Act Living       Date:  2021-05-21

4.  Estimating wearable motion sensor performance from personal biomechanical models and sensor data synthesis.

Authors:  Adrian Derungs; Oliver Amft
Journal:  Sci Rep       Date:  2020-07-10       Impact factor: 4.379

  4 in total

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