Evidence map›Paper›PMID 24497913›Full record

Trial reportPloS one2014

The relationship between running velocity and the energy cost of turning during running.

Yoichi Hatamoto, Yosuke Yamada, Hiroyuki Sagayama, Yasuki Higaki, Akira Kiyonaga, Hiroaki Tanaka

Abstract readClinical Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

6 authors.

Yoichi HatamotoGraduate School of Sports and Health Science, Fukuoka University, Fukuoka, Japan.
Yosuke YamadaThe Fukuoka University Institute for Physical Activity, Fukuoka, Japan ; Laboratory of Applied Health Science, Kyoto Prefectural University of Medicine, Kyoto, Japan ; Research Fellow (SPD), Japan Society for the Promotion of Science, Tokyo, Japan.
Hiroyuki SagayamaGraduate School of Sports and Health Science, Fukuoka University, Fukuoka, Japan.
Yasuki HigakiThe Fukuoka University Institute for Physical Activity, Fukuoka, Japan ; Faculty of Sports and Health Science, Fukuoka University, Fukuoka, Japan.
Akira KiyonagaThe Fukuoka University Institute for Physical Activity, Fukuoka, Japan ; Faculty of Sports and Health Science, Fukuoka University, Fukuoka, Japan.
Hiroaki TanakaThe Fukuoka University Institute for Physical Activity, Fukuoka, Japan ; Faculty of Sports and Health Science, Fukuoka University, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ball game players frequently perform changes of direction (CODs) while running; however, there has been little research on the physiological impact of CODs. In particular, the effect of running velocity on the physiological and energy demands of CODs while running has not been clearly determined. The purpose of this study was to examine the relationship between running velocity and the energy cost of a 180°COD and to quantify the energy cost of a 180°COD. Nine male university students (aged 18-22 years) participated in the study. Five shuttle trials were performed in which the subjects were required to run at different velocities (3, 4, 5, 6, 7, and 8 km/h). Each trial consisted of four stages with different turn frequencies (13, 18, 24 and 30 per minute), and each stage lasted 3 minutes. Oxygen consumption was measured during the trial. The energy cost of a COD significantly increased with running velocity (except between 7 and 8 km/h, p = 0.110). The relationship between running velocity and the energy cost of a 180°COD is best represented by a quadratic function (y = -0.012+0.066x +0.008x(2), [r = 0.994, p = 0.001]), but is also well represented by a linear (y = -0.228+0.152x, [r = 0.991, p<0.001]). These data suggest that even low running velocities have relatively high physiological demands if the COD frequency increases, and that running velocities affect the physiological demands of CODs. These results also showed that the energy expenditure of COD can be evaluated using only two data points. These results may be useful for estimating the energy expenditure of players during a match and designing shuttle exercise training programs.

Indexed as

AdolescentComputer SimulationEnergy MetabolismExerciseHumansMaleModels, BiologicalOxygen ConsumptionPhysical Education and TrainingRunningSportsTime FactorsYoung Adult

Identifiers

PMID24497913
PMCPMC3908867

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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.