Physiological determinants and energy system contribution in short- and middle-distance cycling performance.

Lars Erik Gjerløw, Eva Maria Støa, Jan Helgerud, Jan-Michael Johansen, Øyvind Støren

Abstract read

In one paragraph

Article in European journal of applied physiology, 2026. 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

–field-weighted citation impact

1 · What the graph read from it

What it found

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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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lars Erik GjerløwDepartment of Sports, Physical Education and Outdoor Studies, University of South-Eastern Norway, Bø, Norway. lars.e.gjerlow@usn.no.ORCID http://orcid.org/0009-0005-1960-4175

Eva Maria StøaDepartment of Sports, Physical Education and Outdoor Studies, University of South-Eastern Norway, Bø, Norway.

Jan HelgerudDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.

Jan-Michael JohansenDepartment of Sports, Physical Education and Outdoor Studies, University of South-Eastern Norway, Bø, Norway.

Øyvind StørenDepartment of Sports, Physical Education and Outdoor Studies, University of South-Eastern Norway, Bø, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to investigate the contribution of aerobic and anaerobic energy release on cycling performance in 10 to 180 s.

methods18 male cyclists from recreational- to elite level participated in this cross-sectional study. The cyclists were tested in oxygen cost of cycling (C), peak oxygen uptake (VO

resultsOn average, there was a 50-50% distribution of anaerobic and aerobic energy release at 73 s and at 180TT the distribution was 71% aerobic and 29% anaerobic. When performance was expressed in absolute watt values, strong correlations were found between 180TT and MSP (r = 0.85, p < 0.01, 95% CI [0.55, 0.93]), maximal aerobic power (MAP) (r = 0.88, p < 0.01, 95% CI [0.69, 0.95]), MAOD expressed as mL· kg

Indexed as

Athletic PerformanceBicyclingEnergy MetabolismOxygen ConsumptionAdultAnaerobic ThresholdHumansLactic AcidMaleLactic AcidAerobic capacityAnaerobic capacityAnaerobic sprint reserveMaximal accumulated oxygen deficitMiddle-distance performance

Identifiers

PMID41417055

DOI10.1007/s00421-025-06049-w

PMCPMC13236797

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