No Cover Image

E-Thesis 518 views 93 downloads

Development of a field test to estimate peak vertical mechanical power of elite male rugby union players. / Nicholas John Owen

Swansea University Author: Nicholas John Owen

Abstract

Rugby union is an intermittent high intensity sport that requires players to demonstrate aerobic endurance, strength and power. Whereas the assessment of aerobic endurance and strength are well established, the assessment of rugby- specific muscle power is less well developed. A force platform can b...

Full description

Published: 2008
Institution: Swansea University
Degree level: Master of Philosophy
Degree name: M.Phil
URI: https://cronfa.swan.ac.uk/Record/cronfa42516
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2018-08-02T18:54:53Z
last_indexed 2019-10-21T16:47:58Z
id cronfa42516
recordtype RisThesis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2018-08-16T14:39:02.9105634</datestamp><bib-version>v2</bib-version><id>42516</id><entry>2018-08-02</entry><title>Development of a field test to estimate peak vertical mechanical power of elite male rugby union players.</title><swanseaauthors><author><sid>16250feb4bdadabc5845d25edb32226e</sid><ORCID>NULL</ORCID><firstname>Nicholas John</firstname><surname>Owen</surname><name>Nicholas John Owen</name><active>true</active><ethesisStudent>true</ethesisStudent></author></swanseaauthors><date>2018-08-02</date><abstract>Rugby union is an intermittent high intensity sport that requires players to demonstrate aerobic endurance, strength and power. Whereas the assessment of aerobic endurance and strength are well established, the assessment of rugby- specific muscle power is less well developed. A force platform can be used to accurately measure mechanical power, produced by the legs, in a countermovement jump. However this is not a practical option for a field test. Consequently, a number of attempts have been made to predict leg power from the height jumped by a subject in a countermovement jump. The purpose of the present study was to investigate the validity of field tests, which predict leg power, based on the height jumped in a countermovement jump in elite rugby players. However, due to a lack of clarity with regard to methodology all existing prediction equations have questionable validity. There are a number of reasons for the lack of clarity, but one common reason is the absence of a well defined criterion method for measuring instantaneous vertical mechanical power of the whole body centre of gravity of a countermovement jump, using a force platform. Consequently it was necessary to develop and define a criterion method to measure instantaneous vertical mechanical power of the whole body centre of gravity of a countermovement jump, using a force platform. The criterion method specifies a sampling frequency of l000Hz, Simpson's rule for integration of the force record and body weight measurement and start time criterion based on force records during quiet standing prior to jumping. Once the criterion method had been defined, it was used to measure peak instantaneous mechanical power of the whole body centre of gravity of 59 elite under 21 year old male, rugby union players. Body mass and jump height were used as predictor variables and regression equations were developed to predict absolute and relative peak vertical mechanical power output. The regression equation developed using multiple regression was: peak estimated poweri (W) = [9026.19 x jump height (m)] + [48.96 x body mass (kg)] - 2910.9 (R2 = 0.681, p &lt; 0.001, S.E.E. - 412 W). The regression equation developed using linear regression was: peak estimated power2 (W) = [body weight(N)]x[ 10.187xjump height (m) + 1.704] (R2 = 0.713, p &lt; 0.001, S.E.E. = 388 W). The linear regression produced less error, an improvement of 5% over the multiple regression equation. The linear regression equation should be used in place of existing regression equations when estimating peak power in elite rugby players. Further studies should investigate then equations' ability to detect change in power after training intervention and their validity for use with different populations.</abstract><type>E-Thesis</type><journal/><journalNumber></journalNumber><paginationStart/><paginationEnd/><publisher/><placeOfPublication/><isbnPrint/><issnPrint/><issnElectronic/><keywords>Kinesiology.;Biomechanics.</keywords><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2008</publishedYear><publishedDate>2008-12-31</publishedDate><doi/><url/><notes/><college>COLLEGE NANME</college><department>Sports Science</department><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><degreelevel>Master of Philosophy</degreelevel><degreename>M.Phil</degreename><apcterm/><lastEdited>2018-08-16T14:39:02.9105634</lastEdited><Created>2018-08-02T16:24:29.5249906</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Uncategorised</level></path><authors><author><firstname>Nicholas John</firstname><surname>Owen</surname><orcid>NULL</orcid><order>1</order></author></authors><documents><document><filename>0042516-02082018162500.pdf</filename><originalFilename>10805265.pdf</originalFilename><uploaded>2018-08-02T16:25:00.6630000</uploaded><type>Output</type><contentLength>5558878</contentLength><contentType>application/pdf</contentType><version>E-Thesis</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-08-02T16:25:00.6630000</embargoDate><copyrightCorrect>false</copyrightCorrect></document></documents><OutputDurs/></rfc1807>
spelling 2018-08-16T14:39:02.9105634 v2 42516 2018-08-02 Development of a field test to estimate peak vertical mechanical power of elite male rugby union players. 16250feb4bdadabc5845d25edb32226e NULL Nicholas John Owen Nicholas John Owen true true 2018-08-02 Rugby union is an intermittent high intensity sport that requires players to demonstrate aerobic endurance, strength and power. Whereas the assessment of aerobic endurance and strength are well established, the assessment of rugby- specific muscle power is less well developed. A force platform can be used to accurately measure mechanical power, produced by the legs, in a countermovement jump. However this is not a practical option for a field test. Consequently, a number of attempts have been made to predict leg power from the height jumped by a subject in a countermovement jump. The purpose of the present study was to investigate the validity of field tests, which predict leg power, based on the height jumped in a countermovement jump in elite rugby players. However, due to a lack of clarity with regard to methodology all existing prediction equations have questionable validity. There are a number of reasons for the lack of clarity, but one common reason is the absence of a well defined criterion method for measuring instantaneous vertical mechanical power of the whole body centre of gravity of a countermovement jump, using a force platform. Consequently it was necessary to develop and define a criterion method to measure instantaneous vertical mechanical power of the whole body centre of gravity of a countermovement jump, using a force platform. The criterion method specifies a sampling frequency of l000Hz, Simpson's rule for integration of the force record and body weight measurement and start time criterion based on force records during quiet standing prior to jumping. Once the criterion method had been defined, it was used to measure peak instantaneous mechanical power of the whole body centre of gravity of 59 elite under 21 year old male, rugby union players. Body mass and jump height were used as predictor variables and regression equations were developed to predict absolute and relative peak vertical mechanical power output. The regression equation developed using multiple regression was: peak estimated poweri (W) = [9026.19 x jump height (m)] + [48.96 x body mass (kg)] - 2910.9 (R2 = 0.681, p < 0.001, S.E.E. - 412 W). The regression equation developed using linear regression was: peak estimated power2 (W) = [body weight(N)]x[ 10.187xjump height (m) + 1.704] (R2 = 0.713, p < 0.001, S.E.E. = 388 W). The linear regression produced less error, an improvement of 5% over the multiple regression equation. The linear regression equation should be used in place of existing regression equations when estimating peak power in elite rugby players. Further studies should investigate then equations' ability to detect change in power after training intervention and their validity for use with different populations. E-Thesis Kinesiology.;Biomechanics. 31 12 2008 2008-12-31 COLLEGE NANME Sports Science COLLEGE CODE Swansea University Master of Philosophy M.Phil 2018-08-16T14:39:02.9105634 2018-08-02T16:24:29.5249906 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Nicholas John Owen NULL 1 0042516-02082018162500.pdf 10805265.pdf 2018-08-02T16:25:00.6630000 Output 5558878 application/pdf E-Thesis true 2018-08-02T16:25:00.6630000 false
title Development of a field test to estimate peak vertical mechanical power of elite male rugby union players.
spellingShingle Development of a field test to estimate peak vertical mechanical power of elite male rugby union players.
Nicholas John Owen
title_short Development of a field test to estimate peak vertical mechanical power of elite male rugby union players.
title_full Development of a field test to estimate peak vertical mechanical power of elite male rugby union players.
title_fullStr Development of a field test to estimate peak vertical mechanical power of elite male rugby union players.
title_full_unstemmed Development of a field test to estimate peak vertical mechanical power of elite male rugby union players.
title_sort Development of a field test to estimate peak vertical mechanical power of elite male rugby union players.
author_id_str_mv 16250feb4bdadabc5845d25edb32226e
author_id_fullname_str_mv 16250feb4bdadabc5845d25edb32226e_***_Nicholas John Owen
author Nicholas John Owen
author2 Nicholas John Owen
format E-Thesis
publishDate 2008
institution Swansea University
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 - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description Rugby union is an intermittent high intensity sport that requires players to demonstrate aerobic endurance, strength and power. Whereas the assessment of aerobic endurance and strength are well established, the assessment of rugby- specific muscle power is less well developed. A force platform can be used to accurately measure mechanical power, produced by the legs, in a countermovement jump. However this is not a practical option for a field test. Consequently, a number of attempts have been made to predict leg power from the height jumped by a subject in a countermovement jump. The purpose of the present study was to investigate the validity of field tests, which predict leg power, based on the height jumped in a countermovement jump in elite rugby players. However, due to a lack of clarity with regard to methodology all existing prediction equations have questionable validity. There are a number of reasons for the lack of clarity, but one common reason is the absence of a well defined criterion method for measuring instantaneous vertical mechanical power of the whole body centre of gravity of a countermovement jump, using a force platform. Consequently it was necessary to develop and define a criterion method to measure instantaneous vertical mechanical power of the whole body centre of gravity of a countermovement jump, using a force platform. The criterion method specifies a sampling frequency of l000Hz, Simpson's rule for integration of the force record and body weight measurement and start time criterion based on force records during quiet standing prior to jumping. Once the criterion method had been defined, it was used to measure peak instantaneous mechanical power of the whole body centre of gravity of 59 elite under 21 year old male, rugby union players. Body mass and jump height were used as predictor variables and regression equations were developed to predict absolute and relative peak vertical mechanical power output. The regression equation developed using multiple regression was: peak estimated poweri (W) = [9026.19 x jump height (m)] + [48.96 x body mass (kg)] - 2910.9 (R2 = 0.681, p < 0.001, S.E.E. - 412 W). The regression equation developed using linear regression was: peak estimated power2 (W) = [body weight(N)]x[ 10.187xjump height (m) + 1.704] (R2 = 0.713, p < 0.001, S.E.E. = 388 W). The linear regression produced less error, an improvement of 5% over the multiple regression equation. The linear regression equation should be used in place of existing regression equations when estimating peak power in elite rugby players. Further studies should investigate then equations' ability to detect change in power after training intervention and their validity for use with different populations.
published_date 2008-12-31T03:53:07Z
_version_ 1763752633876611072
score 11.016258