PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 1, 1998Medicine & Science in Sports & Exercise164 citations

Predicting competition performance in long-distance running by means of a treadmill test

View Full Paper
KRKai RöeckerOSOLIVER SCHOTTEANAndreas M. Nieß

Key Result

The individual anaerobic threshold combined with training history and anthropometric data strongly correlated with mean competition speed (r = 0.953-0.968).

Study Design

Type

Cross-Sectional (n=427)

Structured PICO

Does a treadmill test measuring individual anaerobic threshold and other parameters predict competition performance in long-distance runners?

P
Population
427 competitive runners (20.6% female, mean age 32.5 years) underwent an incremental treadmill test to predict running performance.
E
Exposure
Treadmill increment test measuring heart rate and lactate concentrations to determine individual anaerobic threshold (IAT) and 16 other parameters.
O
Outcome
Prediction probability of IAT and other parameters for mean competition speed in various running distances.surrogate

Treadmill testing to determine individual anaerobic threshold, combined with training and anthropometric data, accurately predicts long-distance running competition performance.

Main Result

Effect estimate: r = 0.953-0.968

Abstract

PURPOSE: The purpose of this study was to examine the power of 16 parameters beside the individual anaerobic threshold (IAT) in predicting performance in various competition distances. METHODS: This study examined 427 competitive runners to test the prediction probability of the IAT and other parameters for various running distances. All runners (339 men, 88 women; ages, 32.5 +/- 10.14 yr; training, 7.1 +/- 5.53 yr; training distance, 77.9 +/- 35.63 km.wk-1) performed an increment test on the treadmill (starting speed, 6 or 8 km.h-1; increments, 2 km.h-1; increment duration, 3 min to exhaustion). The heart rate (HR) and the lactate concentrations in hemolyzed whole blood were measured at rest and at the end of each exercise level. The IAT was defined as the running speed at a net increase in lactate concentration 1.5 mmol.L-1 above the lactate concentration at LT. RESULTS: Significant correlations (r = 0.88-0.93) with the mean competition speed were found for the competition distances and could be increased using stepwise multiple regression (r = 0.953-0.968) with a set of additional parameters from the training history, anthropometric data, or the performance diagnostics. CONCLUSIONS: The running speed at a defined net lactate increase thus produces an increasing prediction accuracy with increasing distance. A parallel curve of the identity straight lines with the straight lines of regression indicates the independence of at least a second independent performance determining factor.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Röecker et al. (1998) conducted a cross-sectional in Competitive runners (n=427). Individual anaerobic threshold (IAT) and training/anthropometric parameters was evaluated on Correlation with mean competition speed (r = 0.953-0.968). The individual anaerobic threshold combined with training history and anthropometric data strongly correlated with mean competition speed (r = 0.953-0.968).

synapsesocial.com/papers/6a9a9798cc0ca3339d0e572fhttps://doi.org/10.1097/00005768-199810000-00014
Ask AI
Helpful
Bookmark
Share
View Full Paper