Metz, Jason
(2017)
PREDICTORS OF 2 KILOMETER ROWING ERGOMETER TIME TRIAL PERFORMANCE.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
Predictors of performance can aid coaches and trainers in prescribing exercise programs for rowing athletes. To date, most of the prediction models have been developed for runners and cyclists. PURPOSE: The aim of this study was to develop a regression model to predict performance of a simulated 2 kilometer rowing ergometer time trial. METHODS: A group of mixed gender rowing athletes (n=12) completed in a counterbalanced order a 2 Kilometer rowing time trial and a continuous progressively incremented graded exercise test on a rowing ergometer. Subjects were 23.91±4.99 years old, weighed 79.14±12.85 kg, were 187.38±12.60 cm, had a VO2max of 55.48±10.32 ml/kg/min and had 3.17±2.79 years of rowing experience. Physiological measures were recorded during both testing protocols. RESULTS: Maximum Power/Stroke Ratio (r = -0.96, p<0.001), Power/Stroke Ratio at the ventilatory breakpoint (r = -0.90, p<0.001), Maximal Oxygen Uptake (r = -0.84, p<0.001) and Oxygen Uptake at the ventilatory breakpoint (r = -0.82, p<0.001) were found to be strong and significant predictors of 2 kilometer rowing performance. CONCLUSION: The four significant predictors of rowing performance suggest training should focus on improving both aerobic capacity and strength.
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Details
Item Type: |
University of Pittsburgh ETD
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Status: |
Unpublished |
Creators/Authors: |
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ETD Committee: |
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Date: |
29 September 2017 |
Date Type: |
Publication |
Defense Date: |
25 July 2017 |
Approval Date: |
29 September 2017 |
Submission Date: |
28 September 2017 |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Number of Pages: |
68 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
School of Education > Health and Physical Activity |
Degree: |
PhD - Doctor of Philosophy |
Thesis Type: |
Doctoral Dissertation |
Refereed: |
Yes |
Uncontrolled Keywords: |
rowing, maximal oxygen uptake, power output |
Date Deposited: |
29 Sep 2017 12:36 |
Last Modified: |
29 Sep 2017 12:36 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/33231 |
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