2020
DOI: 10.7717/peerj.9208
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The prediction of swim start performance based on squat jump force-time characteristics

Abstract: Background Depending on the stroke and distances of the events, swim starts have been estimated to account for 0.8% to 26.1% of the overall race time, with the latter representing the percentage in a 50 m sprint front crawl event (Cossor & Mason, 2001). However, it is still somewhat unclear what are the key physiological characteristics underpinning swim start performance. The primary aim of this study was to develop a multiple regression model to determine key lower body force-time predicto… Show more

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Cited by 23 publications
(28 citation statements)
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“…The SJ test was collected as previously described by Thng et al (2020) . All participants completed a standardised dynamic warm-up consisting of a predetermined series of dynamic joint ranges of motion of the upper and lower body under the supervision of a strength and conditioning coach.…”
Section: Methodsmentioning
confidence: 99%
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“…The SJ test was collected as previously described by Thng et al (2020) . All participants completed a standardised dynamic warm-up consisting of a predetermined series of dynamic joint ranges of motion of the upper and lower body under the supervision of a strength and conditioning coach.…”
Section: Methodsmentioning
confidence: 99%
“…Ground reaction force data from the SJs were analysed using the commercially available ForceDecks software (ForceDecks, London, United Kingdom). A description of the SJ variables that were identified by Thng et al (2020) as significant predictors of swim start performance were extracted for analysis are provided in Table 2 .…”
Section: Methodsmentioning
confidence: 99%
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