2022
DOI: 10.3390/ijerph19095033
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Turn Performance Variation in European Elite Short-Course Swimmers

Abstract: Turn performances are important success factors for short-course races, and more consistent turn times may distinguish between higher and lower-ranked swimmers. Therefore, this study aimed to determine coefficients of variation (CV) and performance progressions (∆%) of turn performances. The eight finalists and eight fastest swimmers from the heats that did not qualify for the semi-finals, i.e., from 17th to 24th place, of the 100, 200, 400, and 800 (females only)/1500 m (males only) freestyle events at the 20… Show more

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Cited by 7 publications
(8 citation statements)
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“…However, the distance × level interaction clearly revealed faster OUT_5 m times for finalists compared to non-qualified swimmers ( Figures 1 , 2 ; plot D), which confirmed their superior turn skills regardless of the ability to improve further between rounds. Therefore, the best swimmers may take more advantage from the impulse at the wall push-off, i.e., higher force production and/or better body positioning and limb alignment ( 12 , 23 ) compared to the non-qualified swimmers.…”
Section: Discussionmentioning
confidence: 99%
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“…However, the distance × level interaction clearly revealed faster OUT_5 m times for finalists compared to non-qualified swimmers ( Figures 1 , 2 ; plot D), which confirmed their superior turn skills regardless of the ability to improve further between rounds. Therefore, the best swimmers may take more advantage from the impulse at the wall push-off, i.e., higher force production and/or better body positioning and limb alignment ( 12 , 23 ) compared to the non-qualified swimmers.…”
Section: Discussionmentioning
confidence: 99%
“…The coefficients of variation (CV) for each race-section were calculated according to Equation (1) . 1 As performed previously ( 9 , 12 , 17 , 18 ), a linear mixed model was applied to estimate means for each race variable (fixed effects), with inter-individual CVs to compare performances of all swimmers in the different rounds, and with intra-individual CVs of each swimmer across the different race distances (i.e., 100 and 200 m) and levels of performance (i.e., finalists and non-finalists) as random effects (modelled as variances). The fixed main effects were the following: level of performance [e.g., finalists ( n = 8), and non-qualified ( n = 8)], lap number (e.g., 1 st , 2 nd , 3 rd , and 4 th lap of a 100 m race), and race-section (i.e., Start Time, Split Times, IN_5 m, OUT_5 m, OUT_5–10 m, SR, SL and clean-swimming speed).…”
Section: Methodsmentioning
confidence: 98%
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