ArticleEuropean journal of applied physiology2025
Quantifying metabolic energy contributions in sprint running: a novel bioenergetic model.
Article in European journal of applied physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The effects of ischemic preconditioning and placebo maneuvers are similar during arm-cranking performance in upper-body trained athletes.European journal of applied physiology · 2026Trial
- Blood Lactate's Relationship with Step Kinematic Asymmetry, Stance-Phase Biomechanics, and Spring-Mass Model Variables at the Transition from Curve to Straight Sprinting in the 200 m Dash: A Cross-Sectional Study.Journal of functional morphology and kinesiology · 2026Article
- Real-time AI-Driven cadence optimization in elite 800-m runners: a bioenergetic digital twin approach under metabolic constraints.BMC sports science, medicine & rehabilitation · 2026Article
- The Oxygen Equivalent of Lactate Accumulation and Sex: Similar Work-Lactate Slopes in Men and Women Regardless of Body or Fat-Free Mass Scaling.FASEB bioAdvances · 2026Article
- Gut microbiota of sprint athletes: signature microbes and dietary links.Frontiers in nutrition · 2026Article
- Quantifying metabolic energy contributions in sprint running.European journal of applied physiology · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo develop a bioenergetic model representing the dynamics of metabolic power-including aerobic, anaerobic lactic, and anaerobic alactic contributions-during 100-400 m sprints. This study calculates maximum anaerobic capacities using sprint data and assesses the model's ability to predict performance across various sprint distances.
methodsSprint energetics were estimated applying di Prampero et al. (J Exp Biol 208:2809-2816, 2005) method using velocity and time-split data from the 2009 World Athletics Championships to model metabolic power over the men's and women's 100-200-400 m events. Aerobic power was modeled with an exponential function, anaerobic lactic power with a bi-exponential function, and anaerobic alactic power with a log-normal function. Maximal anaerobic lactic and alactic capacities were estimated from available performances. Simulations were made to predict the distance traveled by hypothetical male and female athletes achieving World Championship performances on the 100-200-400 m.
resultsThe model closely fit metabolic power trajectories (R
conclusionThis model aligns closely with theoretical bioenergetic principles and experimental findings, providing valuable insights that improve our understanding of sprint running energetics and performance. Further refinements, incorporating female-specific parameters and collecting data from various distances, could broaden the model's applicability.
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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.