Evidence map›Paper›PMID 40768424›Full record

ArticlePloS one2025

Sport-specific variability in the energy cost of constant speed running: Implications for metabolic power estimations.

Jan Venzke, Robin Schäfer, Petra Platen

Abstract read
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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jan VenzkeDepartment of Sports Medicine and Sports Nutrition, Ruhr University Bochum, Germany.ORCID https://orcid.org/0000-0002-0746-9472
Robin SchäferDepartment of Sports Medicine and Sports Nutrition, Ruhr University Bochum, Germany.ORCID https://orcid.org/0000-0003-2149-8699
Petra PlatenDepartment of Sports Medicine and Sports Nutrition, Ruhr University Bochum, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMetabolic power is essential for assessing the physical demands of team sports. Accurately determining the energy cost of constant speed running (EC0), is crucial for refining these. EC0 depends on factors like running velocity and V̇O₂max and varies between athlete groups due to training adaptations and sport-specific body characteristics. To ensure accurate energy expenditure, EC0 should be individually determined based on the specific team sport, improving player monitoring, recovery, and load management. MATERIALS AND

methodsAn experimental cohort study collected data from 339 incremental treadmill tests in elite team sports athletes: 11 male handball players, 120 male soccer players, 23 male and 185 female field hockey players. Athletes performed a treadmill protocol to exhaustion while O2-uptake, CO2-output, respiratory exchange ratio and ventilation were measured breath-by-breath. Data processing verified steady-state conditions. Net EC0 was calculated as energy expenditure above rest divided by velocity. Sport, speed, sex and V̇O2max were defined as fixed effect variables.

resultsOur random intercept and slope model with all predictors performed best. Handball players had the highest EC0 (estimated total mean) with 4.04 J/kg/m (CI95% 3.88, 4.20), field hockey players with 3.95 J/kg/m (CI95% 3.90, 4.00) and soccer players with 3.79 J/kg/m (CI95% 3.73, 3.85). For the whole group, EC0 showed a curvilinear dependence on speed: increasing with speed up to ~3.5 m/s and then remaining relatively constant at higher velocities. However, grouping athletes by similar treadmill performance, EC0 remained constant across speeds. DISCUSSION: Our data show multiple predictors must be considered to determine an appropriate EC₀ for each athlete. Although EC₀ remains stable across velocities for individuals, it varies significantly between sports and V̇O₂max levels, highlighting the need for individualized assessment. Calculating EC₀ per athlete may improve energy cost estimations, enhance the metabolic power approach and allow for more accurate analysis of metabolic data based on positional tracking.

Indexed as

Energy MetabolismRunningAdultAthletesAthletic PerformanceExercise TestFemaleHockeyHumansMaleOxygen ConsumptionSoccerYoung Adult

Identifiers

PMID40768424
PMCPMC12327660

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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.