The effect of different loads on semi-tethered swimming and its relationship with dry-land performance variables

Cuenca-Fernández F., Gay A., Ruiz-Navarro J.J. and Arellano R.

International Journal of Performance Analysis in Sport, 2020, vol. 20, issue 1, 90-106

Abstract: Semi-tethered loaded swimming (denoted STLS) has been used widely to develop or test swimmers skills, although its transference to increase performance seems overestimated. In addition, its relationship with dry-land tests remains obscured by imprecise reports. Sixteen competitive male swimmers (age: 18.31 ± 1.42) participated in a two-fold purpose study: Firstly, swimming performance was assessed at different STLS intensities on an adapted Smith Machine. A repeated measures 1-way ANOVA was conducted to find differences between the variables collected through a linear encoder at 15%, 30%, 45% and 60% of the maximal load (ML). Secondly, the relationships between the swimming velocities and the different sorts of variables obtained on a dry-land arm-stroke strength test were studied by Pearson’s correlation coefficient (r). The results showed that less velocity, acceleration and impulse were delivered at high loads (p

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/24748668.2020.1714413 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rpanxx:v:20:y:2020:i:1:p:90-106

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RPAN20

DOI: 10.1080/24748668.2020.1714413

Access Statistics for this article

International Journal of Performance Analysis in Sport is currently edited by Peter O'Donoghue

More articles in International Journal of Performance Analysis in Sport from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().