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dc.contributor.authorBorn, Dennis‑Peteren_NZ
dc.contributor.authorRueger, Evaen_NZ
dc.contributor.authorBeaven, Christopher Martynen_NZ
dc.contributor.authorRomann, Michaelen_NZ
dc.date.accessioned2022-07-11T00:07:00Z
dc.date.available2022-07-11T00:07:00Z
dc.date.issued2022en_NZ
dc.identifier.issn2045-2322en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/14967
dc.description.abstractTo provide percentile curves for short-course swimming events, including 5 swimming strokes, 6 race distances, and both sexes, as well as to compare diferences in race times between cross-sectional analysis and longitudinal tracking, a total of 31,645,621 race times of male and female swimmers were analyzed. Two percentile datasets were established from individual swimmers’ annual best times and a two-way analysis of variance (ANOVA) was used to determine diferences between cross-sectional analysis and longitudinal tracking. A software-based percentile calculator was provided to extract the exact percentile for a given race time. Longitudinal tracking reduced the number of annual best times that were included in the percentiles by 98.35% to 262,071 and showed faster mean race times (P< 0.05) compared to the cross-sectional analysis. This diference was found in the lower percentiles (1st to 20th) across all age categories (P< 0.05); however, in the upper percentiles (80th to 99th), longitudinal tracking showed faster race times during early and late junior age only (P< 0.05), after which race times approximated cross-sectional tracking. The percentile calculator provides quick and easy data access to facilitate practical application of percentiles in training or competition. Longitudinal tracking that accounts for drop-out may predict performance progression towards elite age, particularly for high-performance swimmers.
dc.format.mimetypeapplication/pdf
dc.language.isoenen_NZ
dc.publisherNature Portfolioen_NZ
dc.subjectScience & Technologyen_NZ
dc.subjectMultidisciplinary Sciencesen_NZ
dc.subjectScience & Technology - Other Topicsen_NZ
dc.subjectBIOLOGICAL MATURATIONen_NZ
dc.subjectAGEen_NZ
dc.subjectCOMPETITIONen_NZ
dc.subjectMATURITYen_NZ
dc.subjectSUCCESSen_NZ
dc.subjectGROWTHen_NZ
dc.subjectVALUESen_NZ
dc.subjectLMSen_NZ
dc.titleComparing cross-sectional and longitudinal tracking to establish percentile data and assess performance progression in swimmersen_NZ
dc.typeJournal Article
dc.identifier.doi10.1038/s41598-022-13837-3en_NZ
dc.relation.isPartOfScientific reportsen_NZ
pubs.elements-id271511
pubs.issue1en_NZ
pubs.publication-statusPublisheden_NZ
pubs.volume12en_NZ
uow.identifier.article-noARTN 10292


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