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Greater Association of Relative Thresholds Than Absolute Thresholds With Noncontact Lower-Body Injury in Professional Australian Rules Footballers: Implications For Sprint Monitoring
To examine the relationship between sprint workloads using relative vs absolute thresholds and lower-body soft-tissue and bone-stress injury incidence in professional Australian Rules Football (AF). Fifty-three professional AF athletes' noncontact soft-tissue and bone-stress lower-body injuries...
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Published in: | International journal of sports physiology and performance 2020-02, Vol.15 (2), p.1-212 |
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creator | O'Connor, Fergus Thornton, Heidi R Ritchie, Dean Anderson, Jay Bull, Lindsay Rigby, Alex Leonard, Zane Stern, Steven Bartlett, Jonathan D |
description | To examine the relationship between sprint workloads using relative vs absolute thresholds and lower-body soft-tissue and bone-stress injury incidence in professional Australian Rules Football (AF).
Fifty-three professional AF athletes' noncontact soft-tissue and bone-stress lower-body injuries (N = 62) were recorded and sprint workloads were quantified over ~18 mo using GPS. Sprint volume (m) and exposures (n) were determined using 2 methods: absolute (>24.9 km·h
) and relative (>75%, >80%, >85%, >90%, >95% of maximal velocity). Relationships between threshold methods and injury incidence were assessed using logistic generalized additive models. Incidence-rate ratios (IRR) and model performances' area under the curve (AUC) were reported.
Mean ±SD maximal velocity for the group was 31.5 ±1.4, range 28.6-34.9 km.h
. In comparing relative and absolute thresholds, 75% maximal velocity equated to ~1.5 km·h
below the absolute speed threshold, while 80% and 85% maximal velocity were 0.1 km·h
and 1.7 km·h
above the absolute speed threshold, respectively. Model AUC ranged from 0.48 to 0.61. Very low and very high cumulative sprint loads >80% across a 4-wk period, when measured relatively, resulted in higher IRR (2.54-3.29), than absolute thresholds (1.18-1.58).
Monitoring sprinting volume relative to an athlete's maximal velocity should be incorporated into athlete-monitoring systems. Specifically, quantifying the distance covered at >80% maximal velocity will ensure greater accuracy in determining sprint workloads and associated injury risk. |
doi_str_mv | 10.1123/ijspp.2019-0015 |
format | article |
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Fifty-three professional AF athletes' noncontact soft-tissue and bone-stress lower-body injuries (N = 62) were recorded and sprint workloads were quantified over ~18 mo using GPS. Sprint volume (m) and exposures (n) were determined using 2 methods: absolute (>24.9 km·h
) and relative (>75%, >80%, >85%, >90%, >95% of maximal velocity). Relationships between threshold methods and injury incidence were assessed using logistic generalized additive models. Incidence-rate ratios (IRR) and model performances' area under the curve (AUC) were reported.
Mean ±SD maximal velocity for the group was 31.5 ±1.4, range 28.6-34.9 km.h
. In comparing relative and absolute thresholds, 75% maximal velocity equated to ~1.5 km·h
below the absolute speed threshold, while 80% and 85% maximal velocity were 0.1 km·h
and 1.7 km·h
above the absolute speed threshold, respectively. Model AUC ranged from 0.48 to 0.61. Very low and very high cumulative sprint loads >80% across a 4-wk period, when measured relatively, resulted in higher IRR (2.54-3.29), than absolute thresholds (1.18-1.58).
Monitoring sprinting volume relative to an athlete's maximal velocity should be incorporated into athlete-monitoring systems. Specifically, quantifying the distance covered at >80% maximal velocity will ensure greater accuracy in determining sprint workloads and associated injury risk.</description><identifier>ISSN: 1555-0265</identifier><identifier>EISSN: 1555-0273</identifier><identifier>DOI: 10.1123/ijspp.2019-0015</identifier><identifier>PMID: 31094252</identifier><language>eng</language><publisher>United States: Human Kinetics</publisher><subject>Australian football ; Professional soccer ; Velocity ; Workloads</subject><ispartof>International journal of sports physiology and performance, 2020-02, Vol.15 (2), p.1-212</ispartof><rights>Copyright Human Kinetics Feb 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c325t-2fda27953d8694f71d2c48f735e7cc26c8bd48527ac54d76675cb80d241bb40f3</citedby><cites>FETCH-LOGICAL-c325t-2fda27953d8694f71d2c48f735e7cc26c8bd48527ac54d76675cb80d241bb40f3</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/31094252$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>O'Connor, Fergus</creatorcontrib><creatorcontrib>Thornton, Heidi R</creatorcontrib><creatorcontrib>Ritchie, Dean</creatorcontrib><creatorcontrib>Anderson, Jay</creatorcontrib><creatorcontrib>Bull, Lindsay</creatorcontrib><creatorcontrib>Rigby, Alex</creatorcontrib><creatorcontrib>Leonard, Zane</creatorcontrib><creatorcontrib>Stern, Steven</creatorcontrib><creatorcontrib>Bartlett, Jonathan D</creatorcontrib><title>Greater Association of Relative Thresholds Than Absolute Thresholds With Noncontact Lower-Body Injury in Professional Australian Rules Footballers: Implications For Sprint Monitoring</title><title>International journal of sports physiology and performance</title><addtitle>Int J Sports Physiol Perform</addtitle><description>To examine the relationship between sprint workloads using relative vs absolute thresholds and lower-body soft-tissue and bone-stress injury incidence in professional Australian Rules Football (AF).
Fifty-three professional AF athletes' noncontact soft-tissue and bone-stress lower-body injuries (N = 62) were recorded and sprint workloads were quantified over ~18 mo using GPS. Sprint volume (m) and exposures (n) were determined using 2 methods: absolute (>24.9 km·h
) and relative (>75%, >80%, >85%, >90%, >95% of maximal velocity). Relationships between threshold methods and injury incidence were assessed using logistic generalized additive models. Incidence-rate ratios (IRR) and model performances' area under the curve (AUC) were reported.
Mean ±SD maximal velocity for the group was 31.5 ±1.4, range 28.6-34.9 km.h
. In comparing relative and absolute thresholds, 75% maximal velocity equated to ~1.5 km·h
below the absolute speed threshold, while 80% and 85% maximal velocity were 0.1 km·h
and 1.7 km·h
above the absolute speed threshold, respectively. Model AUC ranged from 0.48 to 0.61. Very low and very high cumulative sprint loads >80% across a 4-wk period, when measured relatively, resulted in higher IRR (2.54-3.29), than absolute thresholds (1.18-1.58).
Monitoring sprinting volume relative to an athlete's maximal velocity should be incorporated into athlete-monitoring systems. Specifically, quantifying the distance covered at >80% maximal velocity will ensure greater accuracy in determining sprint workloads and associated injury risk.</description><subject>Australian football</subject><subject>Professional soccer</subject><subject>Velocity</subject><subject>Workloads</subject><issn>1555-0265</issn><issn>1555-0273</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpdkc1uEzEUhS0EoqWwZocssWEzrX_HE3ahoiVS-FEpYjny2B7iyLGnvh5QXoznw2lLJVj5SPe7R776EHpJySmljJ_5LUzTKSN00RBC5SN0TKWUDWGKP37IrTxCzwC2hAgpJHmKjjglC8EkO0a_L7PTxWW8BEjG6-JTxGnEVy7U_NPh6012sEnBQo064uUAKczln8F3Xzb4U4omxaJNwev0y-XmXbJ7vIrbOe-xj_hLTqMDqP064OUMJevga-HVHBzgi5TKoENwGd7i1W4K3tz-5TDJ-OuUfSz4Y4q-pBp_PEdPRh3Avbh_T9C3i_fX5x-a9efL1fly3RjOZGnYaDVTC8lt1y7EqKhlRnSj4tIpY1hrusGKTjKljRRWta2SZuiIZYIOgyAjP0Fv7nqnnG5mB6XfeTAuBB1dmqFnjDPCu5bQir7-D92mOddjKyWqoa5VvKvU2R1lcgLIbuzraTud9z0l_UFpf6u0PyjtD0rrxqv73nnYOfvA_3XI_wBCm6EA</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>O'Connor, Fergus</creator><creator>Thornton, Heidi R</creator><creator>Ritchie, Dean</creator><creator>Anderson, Jay</creator><creator>Bull, Lindsay</creator><creator>Rigby, Alex</creator><creator>Leonard, Zane</creator><creator>Stern, Steven</creator><creator>Bartlett, Jonathan D</creator><general>Human Kinetics</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20200201</creationdate><title>Greater Association of Relative Thresholds Than Absolute Thresholds With Noncontact Lower-Body Injury in Professional Australian Rules Footballers: Implications For Sprint Monitoring</title><author>O'Connor, Fergus ; Thornton, Heidi R ; Ritchie, Dean ; Anderson, Jay ; Bull, Lindsay ; Rigby, Alex ; Leonard, Zane ; Stern, Steven ; Bartlett, Jonathan D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-2fda27953d8694f71d2c48f735e7cc26c8bd48527ac54d76675cb80d241bb40f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Australian football</topic><topic>Professional soccer</topic><topic>Velocity</topic><topic>Workloads</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>O'Connor, Fergus</creatorcontrib><creatorcontrib>Thornton, Heidi R</creatorcontrib><creatorcontrib>Ritchie, Dean</creatorcontrib><creatorcontrib>Anderson, Jay</creatorcontrib><creatorcontrib>Bull, Lindsay</creatorcontrib><creatorcontrib>Rigby, Alex</creatorcontrib><creatorcontrib>Leonard, Zane</creatorcontrib><creatorcontrib>Stern, Steven</creatorcontrib><creatorcontrib>Bartlett, Jonathan D</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Nursing & Allied Health Premium</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>O'Connor, Fergus</au><au>Thornton, Heidi R</au><au>Ritchie, Dean</au><au>Anderson, Jay</au><au>Bull, Lindsay</au><au>Rigby, Alex</au><au>Leonard, Zane</au><au>Stern, Steven</au><au>Bartlett, Jonathan D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Greater Association of Relative Thresholds Than Absolute Thresholds With Noncontact Lower-Body Injury in Professional Australian Rules Footballers: Implications For Sprint Monitoring</atitle><jtitle>International journal of sports physiology and performance</jtitle><addtitle>Int J Sports Physiol Perform</addtitle><date>2020-02-01</date><risdate>2020</risdate><volume>15</volume><issue>2</issue><spage>1</spage><epage>212</epage><pages>1-212</pages><issn>1555-0265</issn><eissn>1555-0273</eissn><abstract>To examine the relationship between sprint workloads using relative vs absolute thresholds and lower-body soft-tissue and bone-stress injury incidence in professional Australian Rules Football (AF).
Fifty-three professional AF athletes' noncontact soft-tissue and bone-stress lower-body injuries (N = 62) were recorded and sprint workloads were quantified over ~18 mo using GPS. Sprint volume (m) and exposures (n) were determined using 2 methods: absolute (>24.9 km·h
) and relative (>75%, >80%, >85%, >90%, >95% of maximal velocity). Relationships between threshold methods and injury incidence were assessed using logistic generalized additive models. Incidence-rate ratios (IRR) and model performances' area under the curve (AUC) were reported.
Mean ±SD maximal velocity for the group was 31.5 ±1.4, range 28.6-34.9 km.h
. In comparing relative and absolute thresholds, 75% maximal velocity equated to ~1.5 km·h
below the absolute speed threshold, while 80% and 85% maximal velocity were 0.1 km·h
and 1.7 km·h
above the absolute speed threshold, respectively. Model AUC ranged from 0.48 to 0.61. Very low and very high cumulative sprint loads >80% across a 4-wk period, when measured relatively, resulted in higher IRR (2.54-3.29), than absolute thresholds (1.18-1.58).
Monitoring sprinting volume relative to an athlete's maximal velocity should be incorporated into athlete-monitoring systems. Specifically, quantifying the distance covered at >80% maximal velocity will ensure greater accuracy in determining sprint workloads and associated injury risk.</abstract><cop>United States</cop><pub>Human Kinetics</pub><pmid>31094252</pmid><doi>10.1123/ijspp.2019-0015</doi><tpages>9</tpages></addata></record> |
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title | Greater Association of Relative Thresholds Than Absolute Thresholds With Noncontact Lower-Body Injury in Professional Australian Rules Footballers: Implications For Sprint Monitoring |
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