Evidence map›Paper›PMID 37636025›Full record

ArticleEXCLI journal2023

Where are the fastest master butterfly swimmers competing in the FINA World Masters Championships from?

Katja Weiss, Aldo Seffrin, Marilia Santos Andrade, Wais Ahmad, Pedro Forte, Sascha Moreitz, Arkadiusz Stanula, Ivan Cuk, Pantelis T Nikolaidis, Beat Knechtle

Open access · greenAbstract read
In one paragraph

Article in EXCLI journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 8 institutions in 6 countries.

Katja WeissInstitute of Primary Care, University of Zurich, Zurich, Switzerland.
Aldo SeffrinPostgraduate Program in Translation Medicine, Federal University of São Paulo, São Paulo, Brazil.
Marilia Santos AndradeDepartment of Physiology, Federal University of São Paulo, São Paulo, Brazil.
Wais AhmadSanatorium Kilchberg, Kilchberg, Switzerland.
Pedro ForteCI-ISCE, Higher Institute of Educational Sciences of the Douro, Penafiel, Portugal.
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.
Ivan CukFaculty of Sport and Physical Education, University of Belgrade, Belgrade, Serbia.
Pantelis T NikolaidisSchool of Health and Caring Sciences, University of West Attica, Athens, Greece.
Beat KnechtleInstitute of Primary Care, University of Zurich, Zurich, Switzerland.
Universidade Federal de São Paulo · BRUniversity of Zurich · CHAcademy of Fine Arts in Katowice · PLPolytechnic Institute of Bragança · PTSanatorium Kilchberg · CHSpital Zollikerberg · CHUniversity of Belgrade · RSUniversity of West Attica · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the butterfly stroke has received considerable attention in sports science, the origin of the fastest master butterfly swimmers remains unknown. The present study investigated which geographical locations produce the top-performing master butterfly swimmers within their age groups and gender. A total of 26,512 master butterfly swimmers (11,288 women and 15,224 men) competed in 50 m, 100 m and 200 m races in World Masters Championships held between 1986 and 2019. From each swimmer, the year of competition, first name, last name, age group and distance were recorded. Descriptive data were presented using mean, standard deviation, maximum and minimum values, and/or confidence intervals. The top 10 race times for master butterfly swimming and gender were identified for descriptive purposes. Nationalities were then grouped into six categories: the top five nationalities with the most appearances in the top 10 fastest times in butterfly swimming by distance each year and one group consisting of all other nationalities. In the event of a tie, the nationality with the most participants overall was selected. Generalized linear models (GLMs) with a gamma probability distribution and log link function were used to assess the effect of age groups and gender on swimming time. In summary, Germany had the fastest women butterfly master swimmers across all distances, while the USA had the fastest men butterfly master swimmers for all distances. Men covered all distances faster than women and younger swimmers were quicker than older swimmers. The results of this study can be utilized to determine the countries that produce the most successful master butterfly swimmers, providing a foundation for further research to explore the factors that lead to their success.

Indexed as

nationalityoriginperformancerecordsswimming

Identifiers

PMID37636025
PMCPMC10450210
OpenAlexW4386209190

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.