No Cover Image

Journal article 422 views 189 downloads

A novel measure to quantify technical ability in on-water rowing

Sam Jones, Chris Bailey, Dave Thomas, Mark White, Paul Rees Orcid Logo, Huw Summers Orcid Logo, Neil Bezodis Orcid Logo

Journal of Sports Sciences, Volume: 43, Issue: 14, Pages: 1300 - 1308

Swansea University Authors: Sam Jones, Mark White, Paul Rees Orcid Logo, Huw Summers Orcid Logo, Neil Bezodis Orcid Logo

  • 69284.VoR.pdf

    PDF | Version of Record

    © 2025 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License.

    Download (3.59MB)

Check full text

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...

Full description

Published in: Journal of Sports Sciences
ISSN: 0264-0414 1466-447X
Published: Informa UK Limited 2025
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa69284
first_indexed 2025-04-14T08:00:34Z
last_indexed 2025-07-19T04:49:39Z
id cronfa69284
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2025-07-18T15:23:31.9662382</datestamp><bib-version>v2</bib-version><id>69284</id><entry>2025-04-14</entry><title>A novel measure to quantify technical ability in on-water rowing</title><swanseaauthors><author><sid>08b228a63e29cbd08c36ef799f2d3ad2</sid><ORCID/><firstname>Sam</firstname><surname>Jones</surname><name>Sam Jones</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>725158b503e2be11ce4cc531afe08990</sid><firstname>Mark</firstname><surname>White</surname><name>Mark White</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>537a2fe031a796a3bde99679ee8c24f5</sid><ORCID>0000-0002-7715-6914</ORCID><firstname>Paul</firstname><surname>Rees</surname><name>Paul Rees</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>a61c15e220837ebfa52648c143769427</sid><ORCID>0000-0002-0898-5612</ORCID><firstname>Huw</firstname><surname>Summers</surname><name>Huw Summers</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>534588568c1936e94e1ed8527b8c991b</sid><ORCID>0000-0003-2229-3310</ORCID><firstname>Neil</firstname><surname>Bezodis</surname><name>Neil Bezodis</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2025-04-14</date><deptcode>MEDS</deptcode><abstract>This study developed a new measure that quantifies technical ability in on-water rowing by accounting for the effects of an athlete&#x2019;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 &lt; 0.001; ergometer coefficient = 0.87, 95% CI = [0.81, 0.93], p &lt; 0.001), and random effects for year ranged from &#x2212;15.43 s to 47.98 s (median = &#x2212;6.29 s). On-water delta ranged from &#x2212;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.</abstract><type>Journal Article</type><journal>Journal of Sports Sciences</journal><volume>43</volume><journalNumber>14</journalNumber><paginationStart>1300</paginationStart><paginationEnd>1308</paginationEnd><publisher>Informa UK Limited</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0264-0414</issnPrint><issnElectronic>1466-447X</issnElectronic><keywords>Athletes; ergometry; linear mixed model; statistics; technique; water sports</keywords><publishedDay>29</publishedDay><publishedMonth>4</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-04-29</publishedDate><doi>10.1080/02640414.2025.2493020</doi><url/><notes/><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm>SU Library paid the OA fee (TA Institutional Deal)</apcterm><funders>This study was part funded by Swansea University and the UK Sports Institute (UKSI).</funders><projectreference/><lastEdited>2025-07-18T15:23:31.9662382</lastEdited><Created>2025-04-14T08:54:40.7773801</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Sport and Exercise Sciences</level></path><authors><author><firstname>Sam</firstname><surname>Jones</surname><orcid/><order>1</order></author><author><firstname>Chris</firstname><surname>Bailey</surname><order>2</order></author><author><firstname>Dave</firstname><surname>Thomas</surname><order>3</order></author><author><firstname>Mark</firstname><surname>White</surname><order>4</order></author><author><firstname>Paul</firstname><surname>Rees</surname><orcid>0000-0002-7715-6914</orcid><order>5</order></author><author><firstname>Huw</firstname><surname>Summers</surname><orcid>0000-0002-0898-5612</orcid><order>6</order></author><author><firstname>Neil</firstname><surname>Bezodis</surname><orcid>0000-0003-2229-3310</orcid><order>7</order></author></authors><documents><document><filename>69284__34300__a11d2af316194b2eabcff4de1eae4160.pdf</filename><originalFilename>69284.VoR.pdf</originalFilename><uploaded>2025-05-19T12:55:54.7202098</uploaded><type>Output</type><contentLength>3762209</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9; 2025 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2025-07-18T15:23:31.9662382 v2 69284 2025-04-14 A novel measure to quantify technical ability in on-water rowing 08b228a63e29cbd08c36ef799f2d3ad2 Sam Jones Sam Jones true false 725158b503e2be11ce4cc531afe08990 Mark White Mark White true false 537a2fe031a796a3bde99679ee8c24f5 0000-0002-7715-6914 Paul Rees Paul Rees true false a61c15e220837ebfa52648c143769427 0000-0002-0898-5612 Huw Summers Huw Summers true false 534588568c1936e94e1ed8527b8c991b 0000-0003-2229-3310 Neil Bezodis Neil Bezodis true false 2025-04-14 MEDS 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. Journal Article Journal of Sports Sciences 43 14 1300 1308 Informa UK Limited 0264-0414 1466-447X Athletes; ergometry; linear mixed model; statistics; technique; water sports 29 4 2025 2025-04-29 10.1080/02640414.2025.2493020 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University SU Library paid the OA fee (TA Institutional Deal) This study was part funded by Swansea University and the UK Sports Institute (UKSI). 2025-07-18T15:23:31.9662382 2025-04-14T08:54:40.7773801 Faculty of Science and Engineering School of Engineering and Applied Sciences - Sport and Exercise Sciences Sam Jones 1 Chris Bailey 2 Dave Thomas 3 Mark White 4 Paul Rees 0000-0002-7715-6914 5 Huw Summers 0000-0002-0898-5612 6 Neil Bezodis 0000-0003-2229-3310 7 69284__34300__a11d2af316194b2eabcff4de1eae4160.pdf 69284.VoR.pdf 2025-05-19T12:55:54.7202098 Output 3762209 application/pdf Version of Record true © 2025 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License. true eng http://creativecommons.org/licenses/by/4.0/
title A novel measure to quantify technical ability in on-water rowing
spellingShingle A novel measure to quantify technical ability in on-water rowing
Sam Jones
Mark White
Paul Rees
Huw Summers
Neil Bezodis
title_short A novel measure to quantify technical ability in on-water rowing
title_full A novel measure to quantify technical ability in on-water rowing
title_fullStr A novel measure to quantify technical ability in on-water rowing
title_full_unstemmed A novel measure to quantify technical ability in on-water rowing
title_sort A novel measure to quantify technical ability in on-water rowing
author_id_str_mv 08b228a63e29cbd08c36ef799f2d3ad2
725158b503e2be11ce4cc531afe08990
537a2fe031a796a3bde99679ee8c24f5
a61c15e220837ebfa52648c143769427
534588568c1936e94e1ed8527b8c991b
author_id_fullname_str_mv 08b228a63e29cbd08c36ef799f2d3ad2_***_Sam Jones
725158b503e2be11ce4cc531afe08990_***_Mark White
537a2fe031a796a3bde99679ee8c24f5_***_Paul Rees
a61c15e220837ebfa52648c143769427_***_Huw Summers
534588568c1936e94e1ed8527b8c991b_***_Neil Bezodis
author Sam Jones
Mark White
Paul Rees
Huw Summers
Neil Bezodis
author2 Sam Jones
Chris Bailey
Dave Thomas
Mark White
Paul Rees
Huw Summers
Neil Bezodis
format Journal article
container_title Journal of Sports Sciences
container_volume 43
container_issue 14
container_start_page 1300
publishDate 2025
institution Swansea University
issn 0264-0414
1466-447X
doi_str_mv 10.1080/02640414.2025.2493020
publisher Informa UK Limited
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Sport and Exercise Sciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Sport and Exercise Sciences
document_store_str 1
active_str 0
description 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.
published_date 2025-04-29T05:27:46Z
_version_ 1851097839306801152
score 11.089407

Similar Items