How kinematics influences shot put results in track and field of international level athletes (a case study)
Purpose: The purpose of research was to determine important kinematic variables, which determine result in shot put of international level athlete. Athlete used rotational technique of shot put, which is very demanding from movement coordination point of view. Methods: With MVN Xsens dress with 17 a...
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Veröffentlicht in: | Journal of Physical Education and Sport 2018-04, Vol.18, p.512-516 |
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description | Purpose: The purpose of research was to determine important kinematic variables, which determine result in shot put of international level athlete. Athlete used rotational technique of shot put, which is very demanding from movement coordination point of view. Methods: With MVN Xsens dress with 17 accelerometers (data acquisition 120 Hz) we measured 36 shot puts in 3D and used 276 variables. Result of shot put was measured with IAAF judge's method. All joint and segment variables - trajectories, velocities, angels and angular velocities in all 3 axis we analysed and the differences between release moment and 0.1 second before release were calculated. Results: With series of regression analysis, we extracted the best predictors and with final stepwise regression explained 47.4% of shotput result, and what is the most important, the best predictors are low (negative) difference of angular velocity in y axe of left upper leg, low (negative) difference of angular velocity in y axe of T12 vertebra, and high difference of left ankle angle to x axe. Conclusion: Importance of opposite throw hand body side, which should be fast deaccelerated and stopped turning in order to give throw arm a rock support for its activity as an open side kinetic chain. |
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Athlete used rotational technique of shot put, which is very demanding from movement coordination point of view. Methods: With MVN Xsens dress with 17 accelerometers (data acquisition 120 Hz) we measured 36 shot puts in 3D and used 276 variables. Result of shot put was measured with IAAF judge's method. All joint and segment variables - trajectories, velocities, angels and angular velocities in all 3 axis we analysed and the differences between release moment and 0.1 second before release were calculated. Results: With series of regression analysis, we extracted the best predictors and with final stepwise regression explained 47.4% of shotput result, and what is the most important, the best predictors are low (negative) difference of angular velocity in y axe of left upper leg, low (negative) difference of angular velocity in y axe of T12 vertebra, and high difference of left ankle angle to x axe. Conclusion: Importance of opposite throw hand body side, which should be fast deaccelerated and stopped turning in order to give throw arm a rock support for its activity as an open side kinetic chain.</description><identifier>ISSN: 2247-8051</identifier><identifier>EISSN: 2247-806X</identifier><identifier>DOI: 10.7752/jpes.2018.s173</identifier><language>eng</language><publisher>Pitesti: Universitatea din Pitesti</publisher><subject>Athletes ; Biomechanics ; Body Composition ; Coaches & managers ; Correlation ; Individual Characteristics ; Kinematics ; Kinesiology ; Kinetics ; Motion ; Multivariate Analysis ; Physics ; Regression (Statistics) ; Scientific Concepts ; Sports training ; Track & field ; Velocity</subject><ispartof>Journal of Physical Education and Sport, 2018-04, Vol.18, p.512-516</ispartof><rights>Copyright Universitatea din Pitesti Apr 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></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></links><search><creatorcontrib>Saračević, Zlatko</creatorcontrib><creatorcontrib>Atiković, Almir</creatorcontrib><creatorcontrib>Štuhec, Stanislav Stanko</creatorcontrib><creatorcontrib>Čuk, Ivan</creatorcontrib><title>How kinematics influences shot put results in track and field of international level athletes (a case study)</title><title>Journal of Physical Education and Sport</title><description>Purpose: The purpose of research was to determine important kinematic variables, which determine result in shot put of international level athlete. Athlete used rotational technique of shot put, which is very demanding from movement coordination point of view. Methods: With MVN Xsens dress with 17 accelerometers (data acquisition 120 Hz) we measured 36 shot puts in 3D and used 276 variables. Result of shot put was measured with IAAF judge's method. All joint and segment variables - trajectories, velocities, angels and angular velocities in all 3 axis we analysed and the differences between release moment and 0.1 second before release were calculated. Results: With series of regression analysis, we extracted the best predictors and with final stepwise regression explained 47.4% of shotput result, and what is the most important, the best predictors are low (negative) difference of angular velocity in y axe of left upper leg, low (negative) difference of angular velocity in y axe of T12 vertebra, and high difference of left ankle angle to x axe. Conclusion: Importance of opposite throw hand body side, which should be fast deaccelerated and stopped turning in order to give throw arm a rock support for its activity as an open side kinetic chain.</description><subject>Athletes</subject><subject>Biomechanics</subject><subject>Body Composition</subject><subject>Coaches & managers</subject><subject>Correlation</subject><subject>Individual Characteristics</subject><subject>Kinematics</subject><subject>Kinesiology</subject><subject>Kinetics</subject><subject>Motion</subject><subject>Multivariate Analysis</subject><subject>Physics</subject><subject>Regression (Statistics)</subject><subject>Scientific Concepts</subject><subject>Sports training</subject><subject>Track & field</subject><subject>Velocity</subject><issn>2247-8051</issn><issn>2247-806X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNo9TsFKw0AUXETBUnv1_MCLHlJ39yXZ5ChFrVDw0oO3st19oUnXJOZtFP_eFMXLzDDDDCPEtZJLYzJ93_TESy1VsWRl8EzMtE5NUsj87fxfZ-pSLJgbKaWSmCGWMxHW3Rcc65bebawdQ91WYaTWEQMfugj9GGEgHkM8ZRAH645gWw9VTcFDV01upKGd2l1rAwT6pAA2HgLFaePWgrNMwHH033dX4qKygWnxx3OxfXrcrtbJ5vX5ZfWwSfqyiInPqVBYub13VqMvc-1Re1-eHFVZkt6hQ-W0Ls3eIuo0t0ZnPi0Rs0JbnIub39l-6D5G4rhrunG6GHinpUlTOWGBPywxXTE</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Saračević, Zlatko</creator><creator>Atiković, Almir</creator><creator>Štuhec, Stanislav Stanko</creator><creator>Čuk, Ivan</creator><general>Universitatea din Pitesti</general><scope>0-V</scope><scope>3V.</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88B</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BYOGL</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>M0P</scope><scope>M0R</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20180401</creationdate><title>How kinematics influences shot put results in track and field of international level athletes (a case study)</title><author>Saračević, Zlatko ; Atiković, Almir ; Štuhec, Stanislav Stanko ; Čuk, Ivan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p98t-d6e813fcbdca23d962d32dd9fcbd1fae0dc3c31c2297ba33246a725d4933582a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Athletes</topic><topic>Biomechanics</topic><topic>Body Composition</topic><topic>Coaches & managers</topic><topic>Correlation</topic><topic>Individual Characteristics</topic><topic>Kinematics</topic><topic>Kinesiology</topic><topic>Kinetics</topic><topic>Motion</topic><topic>Multivariate Analysis</topic><topic>Physics</topic><topic>Regression (Statistics)</topic><topic>Scientific Concepts</topic><topic>Sports training</topic><topic>Track & field</topic><topic>Velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Saračević, Zlatko</creatorcontrib><creatorcontrib>Atiković, Almir</creatorcontrib><creatorcontrib>Štuhec, Stanislav Stanko</creatorcontrib><creatorcontrib>Čuk, Ivan</creatorcontrib><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Education Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>East Europe, Central Europe Database</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Education Database</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of Physical Education and Sport</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saračević, Zlatko</au><au>Atiković, Almir</au><au>Štuhec, Stanislav Stanko</au><au>Čuk, Ivan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How kinematics influences shot put results in track and field of international level athletes (a case study)</atitle><jtitle>Journal of Physical Education and Sport</jtitle><date>2018-04-01</date><risdate>2018</risdate><volume>18</volume><spage>512</spage><epage>516</epage><pages>512-516</pages><issn>2247-8051</issn><eissn>2247-806X</eissn><abstract>Purpose: The purpose of research was to determine important kinematic variables, which determine result in shot put of international level athlete. Athlete used rotational technique of shot put, which is very demanding from movement coordination point of view. Methods: With MVN Xsens dress with 17 accelerometers (data acquisition 120 Hz) we measured 36 shot puts in 3D and used 276 variables. Result of shot put was measured with IAAF judge's method. All joint and segment variables - trajectories, velocities, angels and angular velocities in all 3 axis we analysed and the differences between release moment and 0.1 second before release were calculated. Results: With series of regression analysis, we extracted the best predictors and with final stepwise regression explained 47.4% of shotput result, and what is the most important, the best predictors are low (negative) difference of angular velocity in y axe of left upper leg, low (negative) difference of angular velocity in y axe of T12 vertebra, and high difference of left ankle angle to x axe. Conclusion: Importance of opposite throw hand body side, which should be fast deaccelerated and stopped turning in order to give throw arm a rock support for its activity as an open side kinetic chain.</abstract><cop>Pitesti</cop><pub>Universitatea din Pitesti</pub><doi>10.7752/jpes.2018.s173</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Athletes Biomechanics Body Composition Coaches & managers Correlation Individual Characteristics Kinematics Kinesiology Kinetics Motion Multivariate Analysis Physics Regression (Statistics) Scientific Concepts Sports training Track & field Velocity |
title | How kinematics influences shot put results in track and field of international level athletes (a case study) |
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