ArticleEuropean journal of applied physiology2006
Prediction of time to exhaustion from blood lactate response during submaximal exercise in competitive cyclists.
Article in European journal of applied physiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Submaximal, Perceptually Regulated Exercise Testing Predicts Maximal Oxygen Uptake: A Meta-Analysis Study.Sports medicine (Auckland, N.Z.) · 2016Pooled it
- VOeLife · 2023Trial
- Trial
- Carbohydrate Supplementation Influences Serum Cytokines after Exercise under Hypoxic Conditions.Nutrients · 2016Trial
- Conventional methods to prescribe exercise intensity are ineffective for exhaustive interval training.European journal of applied physiology · 2023Article
- Realtime Monitoring of Local Sweat Rate Kinetics during Constant-Load Exercise Using Perspiration-Meter with Airflow Compensation System.Sensors (Basel, Switzerland) · 2022Observational
- Physiological and Somatic Principal Components Determining VOInternational journal of environmental research and public health · 2022Article
- Kinetic changes in sweat lactate following fatigue during constant workload exercise.Physiological reports · 2022Article
- Prediction of maximal or peak oxygen uptake from ratings of perceived exertion.Sports medicine (Auckland, N.Z.) · 2014Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this investigation was to develop and validate a new method to predict time to exhaustion (pTE) from blood lactate variables measured during a submaximal non-exhaustive constant workload cycling test in professional cyclists. A multiple regression equation to estimate pTE from blood lactate variables measured within the first 10 min of a submaximal test and TE was determined in 40 competitive cyclists. Predicted TE reliability [individual coefficient of variation (CV)] was calculated in eight amateur cyclists who repeated the proposed test three times. Seasonal variations of pTE were monitored in 12 professional cyclists. Validity of pTE was determined by the known-group difference method in 49 professional cyclists. The prediction equation was: log(n)TE = 4.2067 - 0.8221(log(n) B) - 0.2519(log(n) C), where B is the lactate concentration at the 10th minute of the constant workload test and C is the lactate slope calculated between the 5th and 10th minute (adjusted r (2) =0.83, root mean square error in cross validation=23.1%). Predicted TE CV was 11.7%. The pTE obtained at the beginning of the season and the best and worst tests performed during the competitive season, resulted 162, 224 and 103% higher than the basic period test, respectively (P<0.05). Predicted TE was the only parameter discriminating elite from subelite professional cyclists. In conclusion, this study demonstrates that pTE is a valid and practical alternative to incremental tests and direct measures of endurance capacity requiring exhaustive efforts for the evaluation of competitive cyclists.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.