Literature DB >> 15165867

Investigation of biomechanical factors affecting rowing performance.

Alexandre Baudouin1, David Hawkins.   

Abstract

It was hypothesized that a crew's rowing performance was predictable based on their total propulsive power, synchrony (a real-time comparison of rower propulsive force magnitudes) and total drag contribution (a measure of the rowers' effect on shell drag forces during the recovery), quantities calculated from individual rower's force-time profiles and recovery kinematics. A rowing pair was equipped with transducers to gather shell velocity, propulsive blade force, oar angular position and seat displacement. Eight subjects (four port, four starboard) participated in two rounds of data collection. The first round pairings were random, while the second round pairings were assigned based on Round 1 results. Regression analysis and ANCOVA were used to test the validity of assumptions inherent in the predictive model and, if applicable, explore a linear model predicting rowing performance based on total propulsive power, synchrony and total drag contribution. Total propulsive power, synchrony and total drag contribution were correlated and further were affected by pairing, violating assumptions inherent in the linear model. The original hypothesis was not supported based on these violations. Important findings include (1) performance cannot be predicted using the simple linear model proposed, (2) rowers' force-time profiles are repeatable between trials, with some but not all rowers adapting their force-time profile dependent on their pair partner, presumably in an effort to increase the level of synchrony between the two, and (3) subtle biomechanical factors may play a critical role in performance.

Entities:  

Mesh:

Year:  2004        PMID: 15165867     DOI: 10.1016/j.jbiomech.2003.11.011

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  15 in total

Review 1.  Measures of rowing performance.

Authors:  T Brett Smith; Will G Hopkins
Journal:  Sports Med       Date:  2012-04-01       Impact factor: 11.136

2.  Coordination of multiple appendages in drag-based swimming.

Authors:  Silas Alben; Kevin Spears; Stephen Garth; David Murphy; Jeannette Yen
Journal:  J R Soc Interface       Date:  2010-04-22       Impact factor: 4.118

3.  Longitudinal changes in the spinal kinematics of oarswomen during step testing.

Authors:  Alison H McGregor; Zeenat S Patankar; Anthony M J Bull
Journal:  J Sports Sci Med       Date:  2007-03-01       Impact factor: 2.988

Review 4.  Strength testing and training of rowers: a review.

Authors:  Trent W Lawton; John B Cronin; Michael R McGuigan
Journal:  Sports Med       Date:  2011-05-01       Impact factor: 11.136

Review 5.  Over 50 Years of Researching Force Profiles in Rowing: What Do We Know?

Authors:  John Warmenhoven; Stephen Cobley; Conny Draper; Richard Smith
Journal:  Sports Med       Date:  2018-12       Impact factor: 11.136

6.  Bimanual joint action: correlated timing or "bimanual" movements accomplished by two people.

Authors:  Melanie Y Lam; Jarrod Blinch; Elizabeth M Connors; Jon B Doan; Claudia L R Gonzalez
Journal:  Exp Brain Res       Date:  2018-06-11       Impact factor: 1.972

7.  Joint Action of a Pair of Rowers in a Race: Shared Experiences of Effectiveness Are Shaped by Interpersonal Mechanical States.

Authors:  Mehdi R'Kiouak; Jacques Saury; Marc Durand; Jérôme Bourbousson
Journal:  Front Psychol       Date:  2016-05-18

8.  Don't rock the boat: how antiphase crew coordination affects rowing.

Authors:  Anouk J de Brouwer; Harjo J de Poel; Mathijs J Hofmijster
Journal:  PLoS One       Date:  2013-01-30       Impact factor: 3.240

9.  MARS, a multi-agent system for assessing rowers' coordination via motion-based stigmergy.

Authors:  Marco Avvenuti; Daniel Cesarini; Mario G C A Cimino
Journal:  Sensors (Basel)       Date:  2013-09-12       Impact factor: 3.576

10.  Development of Magnetorheological Resistive Exercise Device for Rowing Machine.

Authors:  Vytautas Grigas; Anatolijus Šulginas; Pranas Žiliukas
Journal:  Comput Math Methods Med       Date:  2016-05-18       Impact factor: 2.238

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