Evidence map›Paper›PMID 39060396›Full record

ArticleScientific reports2024

Analysis of the fastest backstroke age group swimmers competing in the World Masters Championships 1986-2024.

Mielad Fariod, Aldo Seffrin, Marilia Santos Andrade, Mathias Wilhelm, Katja Weiss, Wais Ahmad, Sascha Moreitz, Arkadiusz Stanula, Pantelis T Nikolaidis, Thomas Rosemann and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Mielad FariodCentre for Rehabilitation and Sports Medicine, Inselspital Bern, University Hospital Bern, Bern, Switzerland.ORCID 0009-0006-6468-7747
Aldo SeffrinPostgraduate Program in Translation Medicine, Federal University of São Paulo, São Paulo, Brazil.ORCID 0000-0001-8229-8565
Marilia Santos AndradeDepartment of Physiology, Federal University of São Paulo, São Paulo, Brazil.ORCID 0000-0002-7004-4565
Mathias WilhelmCentre for Rehabilitation and Sports Medicine, Inselspital Bern, University Hospital Bern, Bern, Switzerland.ORCID 0000-0003-4541-3995
Katja WeissInstitute of Primary Care, University of Zurich, Zurich, Switzerland.ORCID 0000-0003-1247-6754
Wais AhmadSanatorium Kilchberg, Kilchberg, Switzerland.
Sascha MoreitzRadiology and Neuroradiology, Institute of Radiology, Spital Zollikerberg, Zurich, Switzerland.
Arkadiusz StanulaInstitute of Sport Sciences, Department of Swimming and Water Rescue, Academy of Physical Education in Katowice, Katowice, Poland.ORCID 0000-0003-1759-6456
Pantelis T NikolaidisSchool of Health and Caring Sciences, University of West Attica, Athens, Greece.ORCID 0000-0001-8030-7122
Thomas RosemannInstitute of Primary Care, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-6436-6306
Beat KnechtleInstitute of Primary Care, University of Zurich, Zurich, Switzerland. beat.knechtle@hispeed.ch.ORCID 0000-0002-2412-9103

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Backstroke has been thoroughly investigated in the context of sports science. However, we have no knowledge about the nationalities of the fastest age group backstroke swimmers. Therefore, the present study intended to investigate the nationalities of the fastest backstroke swimmers. For all World Masters Championships held between 1986 and 2024, the year of competition, the first and last name, the age, and the age group, and both the stroke and the distance were recorded for each swimmer. Descriptive data were presented using mean, standard deviation, maximum and minimum values, and confidence intervals. The top ten race times for each swimming distance and sex were identified for descriptive purposes. Nationalities were then grouped into six categories: the top five nationalities with the most appearances in the backstroke swimming top ten times by distance each year and one group consisting of all other nationalities. The Kruskal-Wallis test compared nationality differences, followed by Bonferroni-adjusted pairwise comparisons to identify specific distinctions. Between 1986 and 2024, most age group backstroke swimmers (39.6%) competed in the 50 m event (11,964, 6206 women, and 5,758 men), followed by the 100 m event (32.3%, n = 9764, 5157 women, and 4607 men), and the 200 m event (28.1%, n = 8483, 4511 women, and 3,972 men). Germany had the highest number of top ten female swimmers in the 50 m backstroke distance. Brazil had the highest number of top ten male swimmers in the same distance. The USA had the highest number of female and male swimmers among the top ten in the 100 m and 200 m backstroke distances. Germany and Great Britain were the only countries with swimmers in the top ten for all female backstroke distances. Brazil, the USA, Italy, and Germany were the countries that had swimmers in the top ten for all male backstroke distances. In summary, the fastest backstroke age group swimmers originated from Germany, Brazil, USA, Great Britain, and Italy, where differences between the sexes and race distances exist.

Indexed as

SwimmingAdolescentAdultAgedAge FactorsAthletesAthletic PerformanceFemaleHumansMaleMiddle AgedYoung AdultAge group athleteMaster swimmerNationalityOrigin

Identifiers

PMID39060396
PMCPMC11282104

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LicenceCC BY-NC-ND
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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.