Evidence map›Paper›PMID 29663075›Full record

ArticleEuropean journal of applied physiology2018

Comparison of running and cycling economy in runners, cyclists, and triathletes.

Wannes Swinnen, Shalaya Kipp, Rodger Kram

Open access · greenAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in European journal of applied physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 20% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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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

3 authors at 2 institutions in 2 countries.

Wannes SwinnenLocomotion Lab, Integrative Physiology Department, University of Colorado Boulder, Boulder, USA. swinnen.wannes@gmail.com.ORCID http://orcid.org/0000-0002-5426-5325
Shalaya KippLocomotion Lab, Integrative Physiology Department, University of Colorado Boulder, Boulder, USA.
Rodger KramLocomotion Lab, Integrative Physiology Department, University of Colorado Boulder, Boulder, USA.
University of Colorado Boulder · USGerman Sport University Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeExercise economy is one of the main physiological factors determining performance in endurance sports. Running economy (RE) can be improved with running-specific training, while the improvement of cycling economy (CE) with cycling-specific training is controversial. We investigated whether exercise economy reflects sport-specific skills/adaptations or is determined by overall physiological factors.

methodsWe compared RE and CE in 10 runners, 9 cyclists and 9 triathletes for running at 12 km/h and cycling at 200 W. Gross rates of oxygen consumption and carbon dioxide production were collected and used to calculate gross metabolic rate in watts for both running and cycling.

resultsRunners had better RE than cyclists (917 ± 107 W vs. 1111 ± 159 W) (p < 0.01). Triathletes had intermediate RE values (1004 ± 98 W) not different from runners or cyclists. CE was not different (p = 0.20) between the three groups (runners: 945 ± 60 W; cyclists: 982 ± 44 W; triathletes: 979 ± 54 W).

conclusionRE can be enhanced with running-specific training, but CE is independent of cycling-specific training.

Indexed as

Oxygen ConsumptionAdultBasal MetabolismBicyclingHumansMalePhysical Conditioning, HumanPulmonary Gas ExchangeRunningBicyclingEfficiencyExerciseTraining transferTriathlon

Identifiers

PMID29663075
OpenAlexW2802993139

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.