Literature DB >> 9813877

Relationship between 800-m running performance and accumulated oxygen deficit in middle-distance runners.

I S Craig1, D W Morgan.   

Abstract

PURPOSE: To determine whether there is a significant relationship between accumulated oxygen deficit (AOD) and 800-m running performance in a group of runners of homogeneous ability.
METHODS: Nine well-trained male middle and long distance runners (age = 24.7 +/- 4.5 yr, body mass = 69.4 +/- 8.5 kg, VO2max = 64.8 +/- 4.5 mL.kg-1.min-1) underwent treadmill testing to determine maximum oxygen uptake (VO2max), running economy (RE) at 1% and 10.5% treadmill gradient, and AOD at 1% and 10.5% treadmill gradient; 800-m running performance was determined by time trials on an outdoor 440-yd track, for which the average time was 132 +/- 4 s. For the AOD test, subjects were required to run on the treadmill at supramaximal speeds until volitional exhaustion. The AOD value was calculated using linear (LIN) and curvilinear (CUR) extrapolation procedures.
RESULTS: Mean AOD values using LIN and CUR were 45.0 +/- 6.9 and 59.3 +/- 10.1 mL.kg-1 at a 1% treadmill gradient and 63.2 +/- 10.6 and 93.6 +/- 19.7 mL.kg-1 at a 10.5% gradient, respectively. No significant relationship was found between 800-m run time and AOD at 1% gradient or 10.5% gradient or when AOD was estimated from a linear or curvilinear fit of the VO2 data. Other variables measured in this study (e.g., VO2max and running economy) were not found to be predictive of 800-m run time.
CONCLUSION: Among a homogeneous group of well-trained male middle- and long-distance runners, AOD measured at a 1% and 10.5% treadmill gradient is not significantly related to 800-m running performance.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9813877     DOI: 10.1097/00005768-199811000-00012

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  7 in total

1.  Effect of sampling strategy on measures of VO2peak obtained using commercial breath-by-breath systems.

Authors:  David W Hill; Lindsay P Stephens; Sonja A Blumoff-Ross; David C Poole; Jimmy C Smith
Journal:  Eur J Appl Physiol       Date:  2003-05-17       Impact factor: 3.078

Review 2.  The maximal accumulated oxygen deficit method: a valid and reliable measure of anaerobic capacity?

Authors:  Dionne A Noordhof; Jos J de Koning; Carl Foster
Journal:  Sports Med       Date:  2010-04-01       Impact factor: 11.136

3.  Anaerobic Capacity in Running: The Effect of Computational Method.

Authors:  Erik P Andersson; Glenn Björklund; Kerry McGawley
Journal:  Front Physiol       Date:  2021-08-04       Impact factor: 4.566

4.  Relationships between Sprint, Jumping and Strength Abilities, and 800 M Performance in Male Athletes of National and International Levels.

Authors:  Beatriz Bachero-Mena; Fernando Pareja-Blanco; David Rodríguez-Rosell; Juan Manuel Yáñez-García; Ricardo Mora-Custodio; Juan José González-Badillo
Journal:  J Hum Kinet       Date:  2017-08-01       Impact factor: 2.193

5.  Maximal Oxygen Uptake Is Achieved in Hypoxia but Not Normoxia during an Exhaustive Severe Intensity Run.

Authors:  Matthew I Black; Christopher R Potter; Jo Corbett; Cain C T Clark; Stephen B Draper
Journal:  Front Physiol       Date:  2017-02-21       Impact factor: 4.566

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.  Aerobic and Anaerobic Speed Predicts 800-m Running Performance in Young Recreational Runners.

Authors:  Øyvind Støren; Jan Helgerud; Jan-Michael Johansen; Lars-Erik Gjerløw; Aanund Aamlid; Eva Maria Støa
Journal:  Front Physiol       Date:  2021-05-21       Impact factor: 4.566

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.