Physiological and anthropometric determinants of rhythmic gymnastics performance
To identify the physiological and anthropometric predictors of rhythmic gymnastics performance, which was defined from the total ranking score of each athlete in a national competition. Thirty-four rhythmic gymnasts were divided into 2 groups, elite (n = 15) and nonelite (n = 19), and they underwent...
Gespeichert in:
Veröffentlicht in: | International journal of sports physiology and performance 2008-03, Vol.3 (1), p.41-54 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 54 |
---|---|
container_issue | 1 |
container_start_page | 41 |
container_title | International journal of sports physiology and performance |
container_volume | 3 |
creator | Douda, Helen T Toubekis, Argyris G Avloniti, Alexandra A Tokmakidis, Savvas P |
description | To identify the physiological and anthropometric predictors of rhythmic gymnastics performance, which was defined from the total ranking score of each athlete in a national competition.
Thirty-four rhythmic gymnasts were divided into 2 groups, elite (n = 15) and nonelite (n = 19), and they underwent a battery of anthropometric, physical fitness, and physiological measurements. The principal-components analysis extracted 6 components: anthropometric, flexibility, explosive strength, aerobic capacity, body dimensions, and anaerobic metabolism. These were used in a simultaneous multiple-regression procedure to determine which best explain the variance in rhythmic gymnastics performance.
Based on the principal-component analysis, the anthropometric component explained 45% of the total variance, flexibility 12.1%, explosive strength 9.2%, aerobic capacity 7.4%, body dimensions 6.8%, and anaerobic metabolism 4.6%. Components of anthropometric (r = .50) and aerobic capacity (r = .49) were significantly correlated with performance (P < .01). When the multiple-regression model-y = 10.708 + (0.0005121 x VO2max) + (0.157 x arm span) + (0.814 x midthigh circumference) - (0.293 x body mass)-was applied to elite gymnasts, 92.5% of the variation was explained by VO2max (58.9%), arm span (12%), midthigh circumference (13.1%), and body mass (8.5%).
Selected anthropometric characteristics, aerobic power, flexibility, and explosive strength are important determinants of successful performance. These findings might have practical implications for both training and talent identification in rhythmic gymnastics. |
doi_str_mv | 10.1123/ijspp.3.1.41 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_66671241</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>20774503</sourcerecordid><originalsourceid>FETCH-LOGICAL-c414t-d12dec0021d7c77d43733b47e0936bc883c34cc45476c5a497ce348b91a438d13</originalsourceid><addsrcrecordid>eNqFkU1LxDAQhoMo7rp68ywFwZOtmU7atEdZ_IIF96DnkKbptkvb1KQ99N_b_UDBi4dhhpmHdyZ5CbkGGgCE-FBtXdcFGEDA4ITMIYoin4YcT3_qOJqRC-e2lLKIRfSczCCFFNMI52S9LkdXmdpsKiVrT7b5FH1pTWca3dtKebnutW2qdmo7zxSeLce-bKbBZmxa6fpKOa_TtjC2ka3Sl-SskLXTV8e8IJ_PTx_LV3_1_vK2fFz5igHr_RzCXCtKQ8i54jxnyBEzxjVNMc5UkqBCptR0MI9VJFnKlUaWZClIhkkOuCB3B93Omq9Bu140lVO6rmWrzeBEHMccQvY_GFLOp1_BCbz9A27NYNvpESIEDsDCmO7k7g-UssY5qwvR2aqRdhRAxc4QsTdEoACx335zFB2yRue_8NEB_AaMlYda</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2171142601</pqid></control><display><type>article</type><title>Physiological and anthropometric determinants of rhythmic gymnastics performance</title><source>Human Kinetics</source><source>MEDLINE</source><creator>Douda, Helen T ; Toubekis, Argyris G ; Avloniti, Alexandra A ; Tokmakidis, Savvas P</creator><creatorcontrib>Douda, Helen T ; Toubekis, Argyris G ; Avloniti, Alexandra A ; Tokmakidis, Savvas P</creatorcontrib><description>To identify the physiological and anthropometric predictors of rhythmic gymnastics performance, which was defined from the total ranking score of each athlete in a national competition.
Thirty-four rhythmic gymnasts were divided into 2 groups, elite (n = 15) and nonelite (n = 19), and they underwent a battery of anthropometric, physical fitness, and physiological measurements. The principal-components analysis extracted 6 components: anthropometric, flexibility, explosive strength, aerobic capacity, body dimensions, and anaerobic metabolism. These were used in a simultaneous multiple-regression procedure to determine which best explain the variance in rhythmic gymnastics performance.
Based on the principal-component analysis, the anthropometric component explained 45% of the total variance, flexibility 12.1%, explosive strength 9.2%, aerobic capacity 7.4%, body dimensions 6.8%, and anaerobic metabolism 4.6%. Components of anthropometric (r = .50) and aerobic capacity (r = .49) were significantly correlated with performance (P < .01). When the multiple-regression model-y = 10.708 + (0.0005121 x VO2max) + (0.157 x arm span) + (0.814 x midthigh circumference) - (0.293 x body mass)-was applied to elite gymnasts, 92.5% of the variation was explained by VO2max (58.9%), arm span (12%), midthigh circumference (13.1%), and body mass (8.5%).
Selected anthropometric characteristics, aerobic power, flexibility, and explosive strength are important determinants of successful performance. These findings might have practical implications for both training and talent identification in rhythmic gymnastics.</description><identifier>ISSN: 1555-0265</identifier><identifier>EISSN: 1555-0273</identifier><identifier>DOI: 10.1123/ijspp.3.1.41</identifier><identifier>PMID: 19193953</identifier><language>eng</language><publisher>United States: Human Kinetics</publisher><subject>Adolescent ; Anaerobic Threshold - physiology ; Analysis of Variance ; Anthropometry ; Body Composition ; Body measurements ; Exercise - physiology ; Female ; Flexibility ; Gymnastics ; Gymnastics - physiology ; Humans ; Metabolism ; Models, Statistical ; Muscle Contraction - physiology ; Muscle Strength - physiology ; Muscle, Skeletal - physiology ; Physical Fitness - physiology ; Physiology ; Pilot Projects ; Range of Motion, Articular - physiology ; Regression Analysis ; Statistics as Topic</subject><ispartof>International journal of sports physiology and performance, 2008-03, Vol.3 (1), p.41-54</ispartof><rights>Copyright Human Kinetics Mar 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c414t-d12dec0021d7c77d43733b47e0936bc883c34cc45476c5a497ce348b91a438d13</citedby><cites>FETCH-LOGICAL-c414t-d12dec0021d7c77d43733b47e0936bc883c34cc45476c5a497ce348b91a438d13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19193953$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Douda, Helen T</creatorcontrib><creatorcontrib>Toubekis, Argyris G</creatorcontrib><creatorcontrib>Avloniti, Alexandra A</creatorcontrib><creatorcontrib>Tokmakidis, Savvas P</creatorcontrib><title>Physiological and anthropometric determinants of rhythmic gymnastics performance</title><title>International journal of sports physiology and performance</title><addtitle>Int J Sports Physiol Perform</addtitle><description>To identify the physiological and anthropometric predictors of rhythmic gymnastics performance, which was defined from the total ranking score of each athlete in a national competition.
Thirty-four rhythmic gymnasts were divided into 2 groups, elite (n = 15) and nonelite (n = 19), and they underwent a battery of anthropometric, physical fitness, and physiological measurements. The principal-components analysis extracted 6 components: anthropometric, flexibility, explosive strength, aerobic capacity, body dimensions, and anaerobic metabolism. These were used in a simultaneous multiple-regression procedure to determine which best explain the variance in rhythmic gymnastics performance.
Based on the principal-component analysis, the anthropometric component explained 45% of the total variance, flexibility 12.1%, explosive strength 9.2%, aerobic capacity 7.4%, body dimensions 6.8%, and anaerobic metabolism 4.6%. Components of anthropometric (r = .50) and aerobic capacity (r = .49) were significantly correlated with performance (P < .01). When the multiple-regression model-y = 10.708 + (0.0005121 x VO2max) + (0.157 x arm span) + (0.814 x midthigh circumference) - (0.293 x body mass)-was applied to elite gymnasts, 92.5% of the variation was explained by VO2max (58.9%), arm span (12%), midthigh circumference (13.1%), and body mass (8.5%).
Selected anthropometric characteristics, aerobic power, flexibility, and explosive strength are important determinants of successful performance. These findings might have practical implications for both training and talent identification in rhythmic gymnastics.</description><subject>Adolescent</subject><subject>Anaerobic Threshold - physiology</subject><subject>Analysis of Variance</subject><subject>Anthropometry</subject><subject>Body Composition</subject><subject>Body measurements</subject><subject>Exercise - physiology</subject><subject>Female</subject><subject>Flexibility</subject><subject>Gymnastics</subject><subject>Gymnastics - physiology</subject><subject>Humans</subject><subject>Metabolism</subject><subject>Models, Statistical</subject><subject>Muscle Contraction - physiology</subject><subject>Muscle Strength - physiology</subject><subject>Muscle, Skeletal - physiology</subject><subject>Physical Fitness - physiology</subject><subject>Physiology</subject><subject>Pilot Projects</subject><subject>Range of Motion, Articular - physiology</subject><subject>Regression Analysis</subject><subject>Statistics as Topic</subject><issn>1555-0265</issn><issn>1555-0273</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1LxDAQhoMo7rp68ywFwZOtmU7atEdZ_IIF96DnkKbptkvb1KQ99N_b_UDBi4dhhpmHdyZ5CbkGGgCE-FBtXdcFGEDA4ITMIYoin4YcT3_qOJqRC-e2lLKIRfSczCCFFNMI52S9LkdXmdpsKiVrT7b5FH1pTWca3dtKebnutW2qdmo7zxSeLce-bKbBZmxa6fpKOa_TtjC2ka3Sl-SskLXTV8e8IJ_PTx_LV3_1_vK2fFz5igHr_RzCXCtKQ8i54jxnyBEzxjVNMc5UkqBCptR0MI9VJFnKlUaWZClIhkkOuCB3B93Omq9Bu140lVO6rmWrzeBEHMccQvY_GFLOp1_BCbz9A27NYNvpESIEDsDCmO7k7g-UssY5qwvR2aqRdhRAxc4QsTdEoACx335zFB2yRue_8NEB_AaMlYda</recordid><startdate>20080301</startdate><enddate>20080301</enddate><creator>Douda, Helen T</creator><creator>Toubekis, Argyris G</creator><creator>Avloniti, Alexandra A</creator><creator>Tokmakidis, Savvas P</creator><general>Human Kinetics</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>NAPCQ</scope><scope>7TS</scope><scope>7X8</scope></search><sort><creationdate>20080301</creationdate><title>Physiological and anthropometric determinants of rhythmic gymnastics performance</title><author>Douda, Helen T ; Toubekis, Argyris G ; Avloniti, Alexandra A ; Tokmakidis, Savvas P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c414t-d12dec0021d7c77d43733b47e0936bc883c34cc45476c5a497ce348b91a438d13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Adolescent</topic><topic>Anaerobic Threshold - physiology</topic><topic>Analysis of Variance</topic><topic>Anthropometry</topic><topic>Body Composition</topic><topic>Body measurements</topic><topic>Exercise - physiology</topic><topic>Female</topic><topic>Flexibility</topic><topic>Gymnastics</topic><topic>Gymnastics - physiology</topic><topic>Humans</topic><topic>Metabolism</topic><topic>Models, Statistical</topic><topic>Muscle Contraction - physiology</topic><topic>Muscle Strength - physiology</topic><topic>Muscle, Skeletal - physiology</topic><topic>Physical Fitness - physiology</topic><topic>Physiology</topic><topic>Pilot Projects</topic><topic>Range of Motion, Articular - physiology</topic><topic>Regression Analysis</topic><topic>Statistics as Topic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Douda, Helen T</creatorcontrib><creatorcontrib>Toubekis, Argyris G</creatorcontrib><creatorcontrib>Avloniti, Alexandra A</creatorcontrib><creatorcontrib>Tokmakidis, Savvas P</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Nursing & Allied Health Premium</collection><collection>Physical Education Index</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of sports physiology and performance</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Douda, Helen T</au><au>Toubekis, Argyris G</au><au>Avloniti, Alexandra A</au><au>Tokmakidis, Savvas P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Physiological and anthropometric determinants of rhythmic gymnastics performance</atitle><jtitle>International journal of sports physiology and performance</jtitle><addtitle>Int J Sports Physiol Perform</addtitle><date>2008-03-01</date><risdate>2008</risdate><volume>3</volume><issue>1</issue><spage>41</spage><epage>54</epage><pages>41-54</pages><issn>1555-0265</issn><eissn>1555-0273</eissn><abstract>To identify the physiological and anthropometric predictors of rhythmic gymnastics performance, which was defined from the total ranking score of each athlete in a national competition.
Thirty-four rhythmic gymnasts were divided into 2 groups, elite (n = 15) and nonelite (n = 19), and they underwent a battery of anthropometric, physical fitness, and physiological measurements. The principal-components analysis extracted 6 components: anthropometric, flexibility, explosive strength, aerobic capacity, body dimensions, and anaerobic metabolism. These were used in a simultaneous multiple-regression procedure to determine which best explain the variance in rhythmic gymnastics performance.
Based on the principal-component analysis, the anthropometric component explained 45% of the total variance, flexibility 12.1%, explosive strength 9.2%, aerobic capacity 7.4%, body dimensions 6.8%, and anaerobic metabolism 4.6%. Components of anthropometric (r = .50) and aerobic capacity (r = .49) were significantly correlated with performance (P < .01). When the multiple-regression model-y = 10.708 + (0.0005121 x VO2max) + (0.157 x arm span) + (0.814 x midthigh circumference) - (0.293 x body mass)-was applied to elite gymnasts, 92.5% of the variation was explained by VO2max (58.9%), arm span (12%), midthigh circumference (13.1%), and body mass (8.5%).
Selected anthropometric characteristics, aerobic power, flexibility, and explosive strength are important determinants of successful performance. These findings might have practical implications for both training and talent identification in rhythmic gymnastics.</abstract><cop>United States</cop><pub>Human Kinetics</pub><pmid>19193953</pmid><doi>10.1123/ijspp.3.1.41</doi><tpages>14</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1555-0265 |
ispartof | International journal of sports physiology and performance, 2008-03, Vol.3 (1), p.41-54 |
issn | 1555-0265 1555-0273 |
language | eng |
recordid | cdi_proquest_miscellaneous_66671241 |
source | Human Kinetics; MEDLINE |
subjects | Adolescent Anaerobic Threshold - physiology Analysis of Variance Anthropometry Body Composition Body measurements Exercise - physiology Female Flexibility Gymnastics Gymnastics - physiology Humans Metabolism Models, Statistical Muscle Contraction - physiology Muscle Strength - physiology Muscle, Skeletal - physiology Physical Fitness - physiology Physiology Pilot Projects Range of Motion, Articular - physiology Regression Analysis Statistics as Topic |
title | Physiological and anthropometric determinants of rhythmic gymnastics performance |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T09%3A51%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Physiological%20and%20anthropometric%20determinants%20of%20rhythmic%20gymnastics%20performance&rft.jtitle=International%20journal%20of%20sports%20physiology%20and%20performance&rft.au=Douda,%20Helen%20T&rft.date=2008-03-01&rft.volume=3&rft.issue=1&rft.spage=41&rft.epage=54&rft.pages=41-54&rft.issn=1555-0265&rft.eissn=1555-0273&rft_id=info:doi/10.1123/ijspp.3.1.41&rft_dat=%3Cproquest_cross%3E20774503%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2171142601&rft_id=info:pmid/19193953&rfr_iscdi=true |