Evidence map›Paper›PMID 40536521›Full record

ArticleEuropean journal of applied physiology2025

Quantifying metabolic energy contributions in sprint running: a novel bioenergetic model.

Jérémy Briand, Pietro Enrico di Prampero, Cristian Osgnach, Guy Thibault, Jonathan Tremblay

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
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  6. Quantifying metabolic energy contributions in sprint running.European journal of applied physiology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jérémy BriandÉcole de kinésiologie et des sciences de l'activité physique (EKSAP), Faculté de médecine, Centre d'éducation physique et des sports (CEPSUM), Université de Montréal, 2100, Boul. Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada. jeremy.briand@umontreal.ca.ORCID http://orcid.org/0000-0003-1984-9234
Pietro Enrico di PramperoDepartment of Sport Science, Exelio Srl, Udine, Italy.
Cristian OsgnachDepartment of Sport Science, Exelio Srl, Udine, Italy.ORCID http://orcid.org/0000-0002-6157-1443
Guy ThibaultÉcole de kinésiologie et des sciences de l'activité physique (EKSAP), Faculté de médecine, Centre d'éducation physique et des sports (CEPSUM), Université de Montréal, 2100, Boul. Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada.ORCID http://orcid.org/0000-0002-8395-2554
Jonathan TremblayÉcole de kinésiologie et des sciences de l'activité physique (EKSAP), Faculté de médecine, Centre d'éducation physique et des sports (CEPSUM), Université de Montréal, 2100, Boul. Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada.ORCID http://orcid.org/0000-0001-5160-0012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Energy MetabolismModels, BiologicalRunningAdultAthletic PerformanceFemaleHumansLactic AcidMaleOxygen ConsumptionLactic AcidBioenergeticsEnergy expenditureHuman performanceMathematical modellingSprint running

Identifiers

PMID40536521
PMCPMC12678604

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Registered trials

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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.