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    Online-Ressource
    Online-Ressource
    Springer Science and Business Media LLC ; 2022
    In:  Scientific Reports Vol. 12, No. 1 ( 2022-06-18)
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 12, No. 1 ( 2022-06-18)
    Kurzfassung: To provide percentile curves for short-course swimming events, including 5 swimming strokes, 6 race distances, and both sexes, as well as to compare differences 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 differences 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 difference 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.
    Materialart: Online-Ressource
    ISSN: 2045-2322
    Sprache: Englisch
    Verlag: Springer Science and Business Media LLC
    Publikationsdatum: 2022
    ZDB Id: 2615211-3
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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