Evidence map›Paper›PMID 28181208›Full record

ArticleSports medicine (Auckland, N.Z.)2017

Individual-Environment Interactions in Swimming: The Smallest Unit for Analysing the Emergence of Coordination Dynamics in Performance?

Brice Guignard, Annie Rouard, Didier Chollet, John Hart, Keith Davids, Ludovic Seifert

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In one paragraph

Article in Sports medicine (Auckland, N.Z.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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  5. Always Pay Attention to Which Model of Motor Learning You Are Using.International journal of environmental research and public health · 2022
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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 at 3 institutions in 2 countries.

Brice GuignardCentre d'Etude des Transformations des Activités Physiques et Sportives (CETAPS), Normandie Univ, UNIROUEN, 76000, Rouen, France. brice.guignard@univ-rouen.fr.ORCID http://orcid.org/0000-0001-8637-9629
Annie RouardLaboratoire Interuniversitaire de Biologie de la Motricité (LIBM), University Savoie Mont Blanc, 73376, Le Bourget du Lac Cedex, France.
Didier CholletCentre d'Etude des Transformations des Activités Physiques et Sportives (CETAPS), Normandie Univ, UNIROUEN, 76000, Rouen, France.
John HartCentre for Sports Engineering Research, Sheffield Hallam University, Room S001 Chestnut Court, Collegiate Crescent, Sheffield, S10 2BP, UK.
Keith DavidsCentre for Sports Engineering Research, Sheffield Hallam University, Room S001 Chestnut Court, Collegiate Crescent, Sheffield, S10 2BP, UK.
Ludovic SeifertCentre d'Etude des Transformations des Activités Physiques et Sportives (CETAPS), Normandie Univ, UNIROUEN, 76000, Rouen, France.
Normandie Université · FRSheffield Hallam University · GBUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Displacement in competitive swimming is highly dependent on fluid characteristics, since athletes use these properties to propel themselves. It is essential for sport scientists and practitioners to clearly identify the interactions that emerge between each individual swimmer and properties of an aquatic environment. Traditionally, the two protagonists in these interactions have been studied separately. Determining the impact of each swimmer's movements on fluid flow, and vice versa, is a major challenge. Classic biomechanical research approaches have focused on swimmers' actions, decomposing stroke characteristics for analysis, without exploring perturbations to fluid flows. Conversely, fluid mechanics research has sought to record fluid behaviours, isolated from the constraints of competitive swimming environments (e.g. analyses in two-dimensions, fluid flows passively studied on mannequins or robot effectors). With improvements in technology, however, recent investigations have focused on the emergent circular couplings between swimmers' movements and fluid dynamics. Here, we provide insights into concepts and tools that can explain these on-going dynamic interactions in competitive swimming within the theoretical framework of ecological dynamics.

Indexed as

EnvironmentMovementAthletesAthletic PerformanceBiomechanical PhenomenaHumansSwimmingWaterWater

Identifiers

PMID28181208
OpenAlexW2587700055

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.