ArticleSports (Basel, Switzerland)2023
A Novel Approach to the Determination of Time- and Fatigue-Dependent Efficiency during Maximal Cycling Sprints.
Article in Sports (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Trial
- Time-resolved energy-share reconstruction of individual glycolytic flux kinetics reveals duration-dependent bias in elite sprint cycling.European journal of applied physiology · 2026Article
- Mathematical Comparison of Time-Based and Stroke-Based Fatigue Models in Elite Sprint Cycling: Convergence Analysis and Practical Applications.Scandinavian journal of medicine & science in sports · 2026Article
- Temporal power of a cycling sprinter: experiments and effective time theory.Proceedings. Biological sciences · 2025Article
- Understanding optimal cadence dynamics: a systematic analysis of the power-velocity relationship in track cyclists with increasing exercise intensity.Frontiers in physiology · 2024Article
- The intra-day and inter-day reliability of a 6-second Wingate to determine maximal peak power in endurance-trained athletes.PloS one · 2024Article
- A modified formula using energy system contributions to calculate pure maximal rate of lactate accumulation during a maximal sprint cycling test.Frontiers in physiology · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDuring maximal cycling sprints, efficiency (η) is determined by the fiber composition of the muscles activated and cadence-dependent power output. To date, due to methodological limitations, it has only been possible to calculate gross efficiency (i.e., the ratio of total mechanical to total metabolic work) in vivo without assessing the impact of cadence and changes during exercise. Eliminating the impact of cadence provides optimal efficiency (η
methodsTwelve elite track cyclists performed four maximal sprints (3, 8, 12, 60 s) and a maximal-pedaling test on a cycle ergometer. Crank force and cadence were monitored continuously to determine fatigue-free force-velocity profiles (F/v) and fatigue-induced changes in P
resultsAll models showed excellent quality (R
conclusionsAlthough efficiency depends on pedal force and cadence, the latter influence can be eliminated by η
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