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INFLUENCE OF SWIMMING TIME IN SOME PHASES ON FINAL RESULT IN 50M DISCIPLINES
Published 2012-09-01“…This analyse was managed on swimming results from European short course swimming championships - Szczecin 2011, Poland.…”
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Streamlining performance prediction: data-driven KPIs in all swimming strokes
Published 2024-02-01“…The analyses included all men’s individual 100 m races of the 2019 European Short-Course Swimming Championships. Results Duration from 5 m prior to wall contact (In5) emerged as a consistent KPI for all strokes. …”
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Comparing cross-sectional and longitudinal tracking to establish percentile data and assess performance progression in swimmers
Published 2022-06-01“…Abstract 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. …”
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Effect of 8 Weeks of Grip Strength Training on Adolescent Sprint Swimming: A Randomized Controlled Trial
Published 2020-06-01“…Pre and post the training intervention, isometric grip strength was measured using a mechanical hand dynamometer (Lafayette Instrument, Lafayette, IN) while 50 m freestyle and 100 m backstroke short-course swimming time trials were also undertaken. RESULTS Over 8 weeks, all groups improved their maximal grip strength with moderate to large changes (Powerball 30 ± 12%, ES=1.70; Stressball 36 ± 22%, ES=1.07; Control 35 ± 12%, ES=0.79). …”
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Underwater and Surface Swimming Parameters Reflect Performance Level in Elite Swimmers
Published 2021-09-01“…These data suggest an appropriate focus on specific apnea training to improve underwater skills during short-course swimming performances.…”
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Short-course performance variation across all race sections: How 100 and 200 m elite male swimmers progress between rounds
Published 2023-03-01“…IntroductionTo investigate performance variation in all race sections, i.e., start, clean swimming, and turns, of elite short-course races for all swimming strokes and to determine the effect of performance variation on race results.MethodsComparing finalists and non-qualified swimmers, a total of 256 races of male swimmers (n = 128, age: 23.3 ± 3.1, FINA points: 876 ± 38) competing in the European short-course swimming championships were analyzed. The coefficient of variation (CV) and relative change in performance (Δ%) were used to compare intra-individual performance progression between rounds and inter-individual differences between performance levels using a linear mixed model.ResultsWhile most performance variables declined during the races (P < 0.005), performance was better maintained in 200 m compared to 100 m races, as well as in finalists compared to non-qualified swimmers. …”
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