Literature DB >> 7253872

The maximal steady state versus selected running events.

T P LaFontaine, B R Londeree, W K Spath.   

Abstract

To investigate the relationship between the maximal steady state (MSS) and selected running events, seven males (mean = 37.6 years) who were experienced competitive distance runners were studied. From a series of 10-min steady-state treadmill runs, MSS (treadmill velocity, VO2, or heart rate where lactic acid concentration was 2.2 mM/L of venous blood) was determined for all subjects. Treadmill velocity at MSS averaged 258.9 +/- 29.0 m/min. The subjects subsequently performed maximal time trials or races at 13.7 m (15 yd), 45.7 m (50 yd), 402.3 m (440 yd), 3.22 km (2 miles), 8.05 km (5 miles), 16.09 km (10 miles), and 20 km (12.44 miles). Running paces for the 402.3-m, 3.22-km, 8.05-km, 16.09-km, and 20-km distances were all correlated significantly with the treadmill pace at MSS (r = 0.84 to 0.995). The highest correlation was between the MSS treadmill velocity and the 8.05-km pace. The mean for a 6.44-km (4 miles) flat section of the 16.09-km run was identical to the mean treadmill velocity at MSS (258.9 m/min). These data indicate that the pace for essentially aerobic events (3.22 km to 20 km) can be closely approximated by knowledge of a runner's MSS, or conversely that the MSS can be predicted very closely from the pace during an all-out 3.22-km, 8.05 km, 16.09-km, or 20-km run.

Entities:  

Mesh:

Substances:

Year:  1981        PMID: 7253872

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


  32 in total

Review 1.  Training techniques to improve endurance exercise performances.

Authors:  Zuko N Kubukeli; Timothy D Noakes; Steven C Dennis
Journal:  Sports Med       Date:  2002       Impact factor: 11.136

Review 2.  Methods to determine aerobic endurance.

Authors:  Laurent Bosquet; Luc Léger; Patrick Legros
Journal:  Sports Med       Date:  2002       Impact factor: 11.136

3.  Metabolic predictors of middle-distance swimming performance.

Authors:  J P Ribeiro; E Cadavid; J Baena; E Monsalvete; A Barna; E H De Rose
Journal:  Br J Sports Med       Date:  1990-09       Impact factor: 13.800

Review 4.  Monitoring of performance and training in rowing.

Authors:  Jarek Mäestu; Jaak Jürimäe; Toivo Jürimäe
Journal:  Sports Med       Date:  2005       Impact factor: 11.136

Review 5.  Endurance exercise performance: the physiology of champions.

Authors:  Michael J Joyner; Edward F Coyle
Journal:  J Physiol       Date:  2007-09-27       Impact factor: 5.182

6.  Critical determinants of endurance performance in middle-aged and elderly endurance runners with heterogeneous training habits.

Authors:  K Tanaka; N Takeshima; T Kato; S Niihata; K Ueda
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1990

7.  Blood lactate measurements and analysis during exercise: a guide for clinicians.

Authors:  Matthew L Goodwin; James E Harris; Andrés Hernández; L Bruce Gladden
Journal:  J Diabetes Sci Technol       Date:  2007-07

Review 8.  Use of blood lactate measurements for prediction of exercise performance and for control of training. Recommendations for long-distance running.

Authors:  L V Billat
Journal:  Sports Med       Date:  1996-09       Impact factor: 11.136

9.  Blood lactate during constant-load exercise at aerobic and anaerobic thresholds.

Authors:  S Oyono-Enguelle; A Heitz; J Marbach; C Ott; M Gartner; A Pape; J C Vollmer; H Freund
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1990

10.  Longitudinal associations between anaerobic threshold and distance running performance.

Authors:  K Tanaka; H Watanabe; Y Konishi; R Mitsuzono; S Sumida; S Tanaka; T Fukuda; F Nakadomo
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1986
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.