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Workloads of Competitive Surfing: Work-to-Relief Ratios, Surf-Break Demands, and Updated Analysis
School of Exercise and Health Science, Edith Cowan University, Joondalup, Western Australia, Australia & Hurley Surfing Australia High Performance Center, Casuarina Beach, New South Wales, Australia & SPRINZ, Auckland University of Technology, Auckland, New Zealand.
School of Exercise and Health Science, Edith Cowan University, Joondalup, Western Australia, Australia & Hurley Surfing Australia High Performance Center, Casuarina Beach, New South Wales, Australia & Queensland Academy of Sport, Brisbane, Queensland, Australia.
Hurley Surfing Australia High Performance Center, Casuarina Beach, New South Wales, Australia & Department for Health, University of Bath, Bath, United Kingdom.
Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS). School of Exercise and Health Science, Edith Cowan University, Joondalup, Western Australia, Australia & Hurley Surfing Australia High Performance Center, Casuarina Beach, New South Wales, Australia.ORCID iD: 0000-0002-2513-3040
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2018 (English)In: Journal of Strength and Conditioning Research, ISSN 1064-8011, E-ISSN 1533-4287, Vol. 32, no 10, p. 2939-2948Article in journal (Refereed) Published
Abstract [en]

The study provides an in-depth descriptive and quantitative time-motion analysis of competitive surfing, using Global Positioning System (GPS) units and video synchronization, which serves to extend upon the results of Farley, Harris, and Kilding (Journal of Strength and Conditioning Research, 26, 7 [2012]). In addition, comparisons between locations and surfers competing in the same heats were performed. Global Positioning System and video data were collected from 41 male competitive surfers (23.2 6 6.1 years, 71 6 10.3 kg, 177.2 6 6.4 cm) participating in 3 professional domestic surfing events, with competitive heats of 20-minute duration. Fifty data sets were analyzed across the 3 competitions, with velocities and distances covered, proportion of time spent performing various surfing activities, and total work-to-relief ratio determined. Results revealed surfers paddled 44% of the total time, followed by stationary periods (42%). Surfers performed at a significantly (p < 0.05) higher work-to- relief ratio (1.7:1) at the Beach-break (an exposed beach) com- pared with point-break 1 and 2 (waves breaking around a rocky point). Point-breaks 1 and 2 had longer continuous durations of paddling, with significantly longer rides at point-break 1 over the Beach-break (p < 0.01) and point-break 2 (p < 0.01). The average maximal speed (24.8 km/h) from point-break 2 was significantly faster than point-break 1 (p < 0.01) and Beach- break (p < 0.05). This information should influence surfing drills and conditioning methods to prepare these athletes for the dis- parate demands, such as training for a point-break competition involving longer durations of continuous paddling and short, high-intensity workloads for a Beach-break. 

Place, publisher, year, edition, pages
Philadelphia, PA: Lippincott Williams & Wilkins, 2018. Vol. 32, no 10, p. 2939-2948
Keywords [en]
exercise durations, GPS, time-motion analysis, performance analysis
National Category
Sport and Fitness Sciences
Identifiers
URN: urn:nbn:se:hh:diva-37760DOI: 10.1519/JSC.0000000000002659PubMedID: 29912078OAI: oai:DiVA.org:hh-37760DiVA, id: diva2:1240673
Available from: 2018-08-22 Created: 2018-08-22 Last updated: 2018-10-05Bibliographically approved

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Lundgren, Lina E.

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