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Int J Sports Med 2020; 41(07): 461-467
DOI: 10.1055/a-1103-2114
Training & Testing

Relationships between a Load-velocity Profile and Sprint Performance in Butterfly Swimming

Tomohiro Gonjo 
1   Department of Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway
,
Ola Eriksrud
1   Department of Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway
,
Filip Papoutsis
1   Department of Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway
,
Bjørn Harald Olstad
1   Department of Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway
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Abstract

The purpose of this study was to establish the relationships between 50 m sprint swimming performance and variables acquired from a swimming load-velocity profile established by semi-tethered butterfly swimming. Twelve male elite swimmers participated in the present study and performed 50 m sprint and semi-tethered butterfly swimming with different loads. The mean velocity among all upper-limb cycles was obtained from the 50 m swimming (race velocity), and maximum load and velocity were predicted from the load-velocity profile established by the semi-tethered swimming test. There was a very large correlation (r=0.885, p<0.01) and a high intra-class correlation (0.844, p<0.001) between the race velocity and the predicted maximum velocity. Significant correlations were also observed between the predicted maximum load and the 50 m time as well as the race velocity (r=− 0.624 and 0.556, respectively, both p<0.05), which imply that an ability to achieve a large tethered swimming force is associated with 50 m butterfly performance. These results indicate that the load-velocity profile is a useful tool for predicting and assessing sprint butterfly swimming performance.

Key words

semi-tethered swimming - performance analysis - performance prediction - force


Publication History

Received: 00 00 2020

Accepted: 12 January 2020

Article published online:
14 February 2020

© Georg Thieme Verlag KG
Stuttgart · New York

 

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