Evidence map›Paper›PMID 42348522›Full record

ArticlePloS one2026

Visualizing youth sports specialization and injury risk: A novel application of swimmer plots.

Julie Agel, Nicholas Edwards, Bradley Nelson, Todd Rockwood

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Julie AgelDepartment of Orthopedics, University of Minnesota, Minneapolis, Minnesota, United States of America.ORCID https://orcid.org/0000-0002-4296-7389
Nicholas EdwardsDepartment of Orthopedics, University of Minnesota, Minneapolis, Minnesota, United States of America.
Bradley NelsonDepartment of Orthopedics, University of Minnesota, Minneapolis, Minnesota, United States of America.
Todd RockwoodDivision of Health Policy and Management, University of Minnesota, Minneapolis, Minnesota, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs research on sport participation in youth and the impact of sport specialization on injury increases, the value of a standardization of data variables and an easily interpretable way of visualizing the data will be demonstrated with improved quality and comparability of future findings. PURPOSE: Using simulated sport participation data from the perspectives of chronological age and years of participation, the utility and flexibility provided by swimmer plots is a novel method for visualization of data to assess the impact of single versus multiple sport participation on the occurrence of injury.

methodsUsing recall survey data, a simulated dataset based on chronological age as well as years of participation was created to allow for differing visualizations of the impact of single vs multiple sport participation on the occurrence of injury using swimmer plots.

resultsCharacterization and presentation of sports history are deceptively complex and the reliance on tabular and simple graphics fail to provide a comprehensive picture. Collecting a core data set, allowing for multiple denominators such as chronological age and years of participation along with using swimmer plots as an effective means of visually presenting the data allow for a more robust and multi-faceted approach to the understanding of the impact of youth early sport specialization on injury risk. Demonstrated are examples of injury occurrence as it relates to chronological age of participation as well as years of participation. Figures demonstrating differences in injury rates based on number of sports participated in at various ages are also provided.

conclusionSwimmer plots allow for visualization of data from multiple perspectives which facilitates a comprehensive understanding of the complex, overlapping factors potentially impacting injury in youth sports. Visualizing more than one perspective allows for a more complete picture of the factors involved.

Indexed as

Athletic InjuriesYouth SportsAdolescentChildHumansSwimming

Identifiers

PMID42348522
PMCPMC13298933

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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.