Journal article 24 views
A novel measure to quantify technical ability in on-water rowing
Journal of Sports Sciences
Swansea University Authors:
Sam Jones, Mark White, Paul Rees , Huw Summers
, Neil Bezodis
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1080/02640414.2025.2493020
Abstract
This study developed a new measure that quantifies technical ability in on-water rowing by accounting for the effects of an athlete’s physiological capabilities and the given environmental conditions. Maximal 2000 m efforts for both ergometer and on-water (n = 340 of each) were collected from 162 na...
Published in: | Journal of Sports Sciences |
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ISSN: | 0264-0414 1466-447X |
Published: |
Taylor & Francis
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Online Access: |
Check full text
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URI: | https://cronfa.swan.ac.uk/Record/cronfa69284 |
Abstract: |
This study developed a new measure that quantifies technical ability in on-water rowing by accounting for the effects of an athlete’s physiological capabilities and the given environmental conditions. Maximal 2000 m efforts for both ergometer and on-water (n = 340 of each) were collected from 162 national and international athletes (78 women, 84 men) over 16 years. A linear mixed model predicted on-water performance from static ergometer performance (physiological capability), accounting for day of on-water testing (environmental condition effects). On-water delta was the difference between predicted and actual on-water performance. The model revealed significant fixed effects (intercept = 17.70 s, 95% CI = [8.43, 26.97], p < 0.001; ergometer coefficient = 0.87, 95% CI = [0.81, 0.93], p < 0.001), and random effects for year ranged from −15.43 s to 47.98 s (median = −6.29 s). On-water delta ranged from −32.8 s (faster than predicted) to 51.1 s (slower). On- water delta provides a new dependent variable that can be used to quantify technical ability in future investigations. The current data provide contextual on-water delta values from a large sample of high- level athletes, and the outlined modelling approach can be applied to new datasets to provide population-specific quantifications of technical ability. |
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Item Description: |
In press - Forthcoming |
College: |
Faculty of Science and Engineering |
Funders: |
This study was part funded by Swansea University and the UK Sports Institute (UKSI). |