Journal article 205 views 43 downloads
A novel measure to quantify technical ability in on-water rowing
,
Huw Summers ,
Neil Bezodis
Journal of Sports Sciences, Volume: 43, Issue: 14, Pages: 1300 - 1308
Swansea University Authors:
Sam Jones, Mark White, Paul Rees , Huw Summers , Neil Bezodis
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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: |
Informa UK Limited
2025
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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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| Keywords: |
Athletes; ergometry; linear mixed model; statistics; technique; water sports |
| College: |
Faculty of Science and Engineering |
| Funders: |
This study was part funded by Swansea University and the UK Sports Institute (UKSI). |
| Issue: |
14 |
| Start Page: |
1300 |
| End Page: |
1308 |