Injury prediction in volleyball players
Background An accentuated Quadriceps (Q) angle, genu valgum, flat feet, femoral anteversion, lumbar hyperlordosis and lower limb dysmetria can be factors favouring the occurrence of injuries. Objective To determine what degrees of Q angle can be tolerated by and what corrector guidelines can be esta...
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| Veröffentlicht in: | British journal of sports medicine 2011-05, Vol.45 (6), p.545-545 |
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| creator | de la Cruz-Márquez, J C Cueto-Martín, B de la Cruz-Campos, J C de la Cruz-Campos, A |
| description | Background An accentuated Quadriceps (Q) angle, genu valgum, flat feet, femoral anteversion, lumbar hyperlordosis and lower limb dysmetria can be factors favouring the occurrence of injuries. Objective To determine what degrees of Q angle can be tolerated by and what corrector guidelines can be established for volleyball players. Design A Q angle analysis was performed on 36 female and 41 male volleyball players from a Spanish honour division team for 5 years, as well as a measurement of weight distribution on a balance platform. We determined the injuries suffered during each season and their relation to the physical activity. Setting and participants 44 females and 46 males (females: mean age 22±3.4 years; height: 182.3±5.7 cm; weight: 71.9±4.1 kg; males: 23±3.3 and; 188.2±3.8 cm; 84.8±6.9 kg) who were on the team during the 5-year period of study. Eight females and five males did not complete the study. Interventions A logistic regression analysis was performed to determine the influence of anthropometric factors on the occurrence of injuries. Independent Variables: Anthropometric measures, balance, minutes of training. Dependent: Injuries. Results Females: In the right lower limb, the Q angle average is 14.14°±1.8 degrees, while in the left lower limb it is 14.97°±1.1 (p |
| doi_str_mv | 10.1136/bjsm.2011.084558.35 |
| format | Article |
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Objective To determine what degrees of Q angle can be tolerated by and what corrector guidelines can be established for volleyball players. Design A Q angle analysis was performed on 36 female and 41 male volleyball players from a Spanish honour division team for 5 years, as well as a measurement of weight distribution on a balance platform. We determined the injuries suffered during each season and their relation to the physical activity. Setting and participants 44 females and 46 males (females: mean age 22±3.4 years; height: 182.3±5.7 cm; weight: 71.9±4.1 kg; males: 23±3.3 and; 188.2±3.8 cm; 84.8±6.9 kg) who were on the team during the 5-year period of study. Eight females and five males did not complete the study. Interventions A logistic regression analysis was performed to determine the influence of anthropometric factors on the occurrence of injuries. Independent Variables: Anthropometric measures, balance, minutes of training. Dependent: Injuries. Results Females: In the right lower limb, the Q angle average is 14.14°±1.8 degrees, while in the left lower limb it is 14.97°±1.1 (p<0.01). Males: Right Q angle: 13.1°±2.2; Left: 13.75°±1.7 (p<0.01). Sharp Left Q angle favours the occurrence of lower limb and back injuries. There is no connection to practical exposure. Conclusions We formulated a logistic regression equation that predicts the occurrence of injuries. Degree of satisfaction: 75% (females), 85% (males). 1/1+e-(0.757•LQA−0.647•DTT)2. (e: Natural Logarithm e; LQA: Left Q angle; DTT: Differences in thigh thickness).</description><identifier>ISSN: 0306-3674</identifier><identifier>EISSN: 1473-0480</identifier><identifier>DOI: 10.1136/bjsm.2011.084558.35</identifier><language>eng</language><publisher>London: BMJ Publishing Group Ltd and British Association of Sport and Exercise Medicine</publisher><subject>Athletes ; Exercise ; Measurement ; Regression analysis ; Sports injuries ; Sports medicine ; Volleyball</subject><ispartof>British journal of sports medicine, 2011-05, Vol.45 (6), p.545-545</ispartof><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Copyright: 2011 Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Copyright BMJ Publishing Group May 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://bjsm.bmj.com/content/45/6/545.2.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://bjsm.bmj.com/content/45/6/545.2.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,780,784,3196,23571,27924,27925,77600,77631</link.rule.ids></links><search><creatorcontrib>de la Cruz-Márquez, J C</creatorcontrib><creatorcontrib>Cueto-Martín, B</creatorcontrib><creatorcontrib>de la Cruz-Campos, J C</creatorcontrib><creatorcontrib>de la Cruz-Campos, A</creatorcontrib><title>Injury prediction in volleyball players</title><title>British journal of sports medicine</title><addtitle>Br J Sports Med</addtitle><description>Background An accentuated Quadriceps (Q) angle, genu valgum, flat feet, femoral anteversion, lumbar hyperlordosis and lower limb dysmetria can be factors favouring the occurrence of injuries. Objective To determine what degrees of Q angle can be tolerated by and what corrector guidelines can be established for volleyball players. Design A Q angle analysis was performed on 36 female and 41 male volleyball players from a Spanish honour division team for 5 years, as well as a measurement of weight distribution on a balance platform. We determined the injuries suffered during each season and their relation to the physical activity. Setting and participants 44 females and 46 males (females: mean age 22±3.4 years; height: 182.3±5.7 cm; weight: 71.9±4.1 kg; males: 23±3.3 and; 188.2±3.8 cm; 84.8±6.9 kg) who were on the team during the 5-year period of study. Eight females and five males did not complete the study. Interventions A logistic regression analysis was performed to determine the influence of anthropometric factors on the occurrence of injuries. Independent Variables: Anthropometric measures, balance, minutes of training. Dependent: Injuries. Results Females: In the right lower limb, the Q angle average is 14.14°±1.8 degrees, while in the left lower limb it is 14.97°±1.1 (p<0.01). Males: Right Q angle: 13.1°±2.2; Left: 13.75°±1.7 (p<0.01). Sharp Left Q angle favours the occurrence of lower limb and back injuries. There is no connection to practical exposure. Conclusions We formulated a logistic regression equation that predicts the occurrence of injuries. Degree of satisfaction: 75% (females), 85% (males). 1/1+e-(0.757•LQA−0.647•DTT)2. (e: Natural Logarithm e; LQA: Left Q angle; DTT: Differences in thigh thickness).</description><subject>Athletes</subject><subject>Exercise</subject><subject>Measurement</subject><subject>Regression analysis</subject><subject>Sports injuries</subject><subject>Sports medicine</subject><subject>Volleyball</subject><issn>0306-3674</issn><issn>1473-0480</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkEtLw0AQgBdRsFZ_gZegB0-JM9lnjlJfpaLg87hstltITJO424r59yZEvAkehrl83wx8hBwjJIhUnOdlWCcpICagGOcqoXyHTJBJGgNTsEsmQEHEVEi2Tw5CKAEw5aAm5Gxel1vfRa13y8JuiqaOijr6bKrKdbmpqqitTOd8OCR7K1MFd_Szp-Tl-up5dhvfPdzMZxd3cY5SZLEwzC0tCmBcWcZTTC0Hyiz2ky3NChVwK1FwAavcOiaNpRIZOqTGyTSjU3Iy3m1987F1YaPLZuvr_qVWote4ygbo9C8IpcxQKkVVT9GRsr4JwbuVbn2xNr7TCHrIpodsesimx2ya8t6KR6sIG_f1qxj_roWkkuv715nGxdvi6RFm-rLnk5HP1-W_HnwDTqV7ww</recordid><startdate>201105</startdate><enddate>201105</enddate><creator>de la Cruz-Márquez, J C</creator><creator>Cueto-Martín, B</creator><creator>de la Cruz-Campos, J C</creator><creator>de la Cruz-Campos, A</creator><general>BMJ Publishing Group Ltd and British Association of Sport and Exercise Medicine</general><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>201105</creationdate><title>Injury prediction in volleyball players</title><author>de la Cruz-Márquez, J C ; Cueto-Martín, B ; de la Cruz-Campos, J C ; de la Cruz-Campos, A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b1769-6a4edc160458c45212c5034c134c9daf1805c716560fbce47ac37141e13ae7293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Athletes</topic><topic>Exercise</topic><topic>Measurement</topic><topic>Regression analysis</topic><topic>Sports injuries</topic><topic>Sports medicine</topic><topic>Volleyball</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de la Cruz-Márquez, J C</creatorcontrib><creatorcontrib>Cueto-Martín, B</creatorcontrib><creatorcontrib>de la Cruz-Campos, J C</creatorcontrib><creatorcontrib>de la Cruz-Campos, A</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</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>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</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>British journal of sports medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de la Cruz-Márquez, J C</au><au>Cueto-Martín, B</au><au>de la Cruz-Campos, J C</au><au>de la Cruz-Campos, A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Injury prediction in volleyball players</atitle><jtitle>British journal of sports medicine</jtitle><addtitle>Br J Sports Med</addtitle><date>2011-05</date><risdate>2011</risdate><volume>45</volume><issue>6</issue><spage>545</spage><epage>545</epage><pages>545-545</pages><issn>0306-3674</issn><eissn>1473-0480</eissn><abstract>Background An accentuated Quadriceps (Q) angle, genu valgum, flat feet, femoral anteversion, lumbar hyperlordosis and lower limb dysmetria can be factors favouring the occurrence of injuries. Objective To determine what degrees of Q angle can be tolerated by and what corrector guidelines can be established for volleyball players. Design A Q angle analysis was performed on 36 female and 41 male volleyball players from a Spanish honour division team for 5 years, as well as a measurement of weight distribution on a balance platform. We determined the injuries suffered during each season and their relation to the physical activity. Setting and participants 44 females and 46 males (females: mean age 22±3.4 years; height: 182.3±5.7 cm; weight: 71.9±4.1 kg; males: 23±3.3 and; 188.2±3.8 cm; 84.8±6.9 kg) who were on the team during the 5-year period of study. Eight females and five males did not complete the study. Interventions A logistic regression analysis was performed to determine the influence of anthropometric factors on the occurrence of injuries. Independent Variables: Anthropometric measures, balance, minutes of training. Dependent: Injuries. Results Females: In the right lower limb, the Q angle average is 14.14°±1.8 degrees, while in the left lower limb it is 14.97°±1.1 (p<0.01). Males: Right Q angle: 13.1°±2.2; Left: 13.75°±1.7 (p<0.01). Sharp Left Q angle favours the occurrence of lower limb and back injuries. There is no connection to practical exposure. Conclusions We formulated a logistic regression equation that predicts the occurrence of injuries. Degree of satisfaction: 75% (females), 85% (males). 1/1+e-(0.757•LQA−0.647•DTT)2. (e: Natural Logarithm e; LQA: Left Q angle; DTT: Differences in thigh thickness).</abstract><cop>London</cop><pub>BMJ Publishing Group Ltd and British Association of Sport and Exercise Medicine</pub><doi>10.1136/bjsm.2011.084558.35</doi><tpages>1</tpages></addata></record> |
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| subjects | Athletes Exercise Measurement Regression analysis Sports injuries Sports medicine Volleyball |
| title | Injury prediction in volleyball players |
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