A 2D video-based assessment is associated with 3D biomechanical contributors to dynamic knee valgus in the coronal plane
IntroductionAdolescent athletes involved in sports that involve cutting and landing maneuvers have an increased risk of anterior cruciate ligament (ACL) tears, highlighting the importance of identifying risky movement patterns such as dynamic knee valgus (DKV). Qualitative movement screenings have e...
Ausführliche Beschreibung
Autor*in: |
Ashley Erdman [verfasserIn] Alex Loewen [verfasserIn] Michael Dressing [verfasserIn] Charles Wyatt [verfasserIn] Gretchen Oliver [verfasserIn] Lauren Butler [verfasserIn] Dai Sugimoto [verfasserIn] Amanda M. Black [verfasserIn] Kirsten Tulchin-Francis [verfasserIn] David M. Bazett-Jones [verfasserIn] Joseph Janosky [verfasserIn] Sophia Ulman [verfasserIn] |
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E-Artikel |
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Englisch |
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2024 |
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In: Frontiers in Sports and Active Living - Frontiers Media S.A., 2020, 6(2024) |
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volume:6 ; year:2024 |
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DOI / URN: |
10.3389/fspor.2024.1352286 |
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Katalog-ID: |
DOAJ097181366 |
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520 | |a IntroductionAdolescent athletes involved in sports that involve cutting and landing maneuvers have an increased risk of anterior cruciate ligament (ACL) tears, highlighting the importance of identifying risky movement patterns such as dynamic knee valgus (DKV). Qualitative movement screenings have explored two-dimensional (2D) scoring criteria for DKV, however, there remains limited data on the validity of these screening tools. Determining a 2D scoring criterion for DKV that closely aligns with three-dimensional (3D) biomechanical measures will allow for the identification of poor knee position in adolescent athletes on a broad scale. The purpose of this study was to establish a 2D scoring criterion that corresponds to 3D biomechanical measures of DKV.MethodsA total of 41 adolescent female club volleyball athletes performed a three-task movement screen consisting of a single-leg squat (SLS), single-leg drop landing (SLDL), and double-leg vertical jump (DLVJ). A single rater scored 2D videos of each task using four criteria for poor knee position. A motion capture system was used to calculate 3D joint angles, including pelvic obliquity, hip adduction, knee abduction, ankle eversion, and foot progression angle. Receiver operating characteristic curves were created for each 2D scoring criterion to determine cut points for the presence of movement faults, and areas under the curve (AUC) were computed to describe the accuracy of each 2D criterion compared to 3D biomechanical data.Results3D measures indicated knee abduction angles between 2.4°–4.6° (SD 4.1°–4.3°) at the time point when the center of the knee joint was most medial during the three tasks. AUCs were between 0.62 and 0.93 across scoring items. The MEDIAL scoring item, defined as the knee joint positioned inside the medial border of the shoe, demonstrated the greatest association to components of DKV, with AUCs ranging from 0.67 to 0.93.ConclusionThe MEDIAL scoring criterion demonstrated the best performance in distinguishing components of DKV, specifically pelvic obliquity, hip adduction, ankle eversion, and foot progression. Along with the previously published scoring definitions for trunk-specific risk factors, the authors suggest that the MEDIAL criterion may be the most indicative of DKV, given an association with 3D biomechanical risk factors. | ||
650 | 4 | |a anterior cruciate ligament injury | |
650 | 4 | |a injury prevention | |
650 | 4 | |a motion capture | |
650 | 4 | |a video analysis | |
650 | 4 | |a qualitative movement analysis | |
653 | 0 | |a Sports | |
700 | 0 | |a Alex Loewen |e verfasserin |4 aut | |
700 | 0 | |a Michael Dressing |e verfasserin |4 aut | |
700 | 0 | |a Charles Wyatt |e verfasserin |4 aut | |
700 | 0 | |a Charles Wyatt |e verfasserin |4 aut | |
700 | 0 | |a Gretchen Oliver |e verfasserin |4 aut | |
700 | 0 | |a Lauren Butler |e verfasserin |4 aut | |
700 | 0 | |a Dai Sugimoto |e verfasserin |4 aut | |
700 | 0 | |a Dai Sugimoto |e verfasserin |4 aut | |
700 | 0 | |a Amanda M. Black |e verfasserin |4 aut | |
700 | 0 | |a Kirsten Tulchin-Francis |e verfasserin |4 aut | |
700 | 0 | |a David M. Bazett-Jones |e verfasserin |4 aut | |
700 | 0 | |a Joseph Janosky |e verfasserin |4 aut | |
700 | 0 | |a Sophia Ulman |e verfasserin |4 aut | |
700 | 0 | |a Sophia Ulman |e verfasserin |4 aut | |
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10.3389/fspor.2024.1352286 doi (DE-627)DOAJ097181366 (DE-599)DOAJ490baadf62f74cb6a46416805add2cc5 DE-627 ger DE-627 rakwb eng GV557-1198.995 Ashley Erdman verfasserin aut A 2D video-based assessment is associated with 3D biomechanical contributors to dynamic knee valgus in the coronal plane 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionAdolescent athletes involved in sports that involve cutting and landing maneuvers have an increased risk of anterior cruciate ligament (ACL) tears, highlighting the importance of identifying risky movement patterns such as dynamic knee valgus (DKV). Qualitative movement screenings have explored two-dimensional (2D) scoring criteria for DKV, however, there remains limited data on the validity of these screening tools. Determining a 2D scoring criterion for DKV that closely aligns with three-dimensional (3D) biomechanical measures will allow for the identification of poor knee position in adolescent athletes on a broad scale. The purpose of this study was to establish a 2D scoring criterion that corresponds to 3D biomechanical measures of DKV.MethodsA total of 41 adolescent female club volleyball athletes performed a three-task movement screen consisting of a single-leg squat (SLS), single-leg drop landing (SLDL), and double-leg vertical jump (DLVJ). A single rater scored 2D videos of each task using four criteria for poor knee position. A motion capture system was used to calculate 3D joint angles, including pelvic obliquity, hip adduction, knee abduction, ankle eversion, and foot progression angle. Receiver operating characteristic curves were created for each 2D scoring criterion to determine cut points for the presence of movement faults, and areas under the curve (AUC) were computed to describe the accuracy of each 2D criterion compared to 3D biomechanical data.Results3D measures indicated knee abduction angles between 2.4°–4.6° (SD 4.1°–4.3°) at the time point when the center of the knee joint was most medial during the three tasks. AUCs were between 0.62 and 0.93 across scoring items. The MEDIAL scoring item, defined as the knee joint positioned inside the medial border of the shoe, demonstrated the greatest association to components of DKV, with AUCs ranging from 0.67 to 0.93.ConclusionThe MEDIAL scoring criterion demonstrated the best performance in distinguishing components of DKV, specifically pelvic obliquity, hip adduction, ankle eversion, and foot progression. Along with the previously published scoring definitions for trunk-specific risk factors, the authors suggest that the MEDIAL criterion may be the most indicative of DKV, given an association with 3D biomechanical risk factors. anterior cruciate ligament injury injury prevention motion capture video analysis qualitative movement analysis Sports Alex Loewen verfasserin aut Michael Dressing verfasserin aut Charles Wyatt verfasserin aut Charles Wyatt verfasserin aut Gretchen Oliver verfasserin aut Lauren Butler verfasserin aut Dai Sugimoto verfasserin aut Dai Sugimoto verfasserin aut Amanda M. Black verfasserin aut Kirsten Tulchin-Francis verfasserin aut David M. Bazett-Jones verfasserin aut Joseph Janosky verfasserin aut Sophia Ulman verfasserin aut Sophia Ulman verfasserin aut In Frontiers in Sports and Active Living Frontiers Media S.A., 2020 6(2024) (DE-627)1663340390 (DE-600)2969725-6 26249367 nnns volume:6 year:2024 https://doi.org/10.3389/fspor.2024.1352286 kostenfrei https://doaj.org/article/490baadf62f74cb6a46416805add2cc5 kostenfrei https://www.frontiersin.org/articles/10.3389/fspor.2024.1352286/full kostenfrei https://doaj.org/toc/2624-9367 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4598 GBV_ILN_4700 AR 6 2024 |
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10.3389/fspor.2024.1352286 doi (DE-627)DOAJ097181366 (DE-599)DOAJ490baadf62f74cb6a46416805add2cc5 DE-627 ger DE-627 rakwb eng GV557-1198.995 Ashley Erdman verfasserin aut A 2D video-based assessment is associated with 3D biomechanical contributors to dynamic knee valgus in the coronal plane 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionAdolescent athletes involved in sports that involve cutting and landing maneuvers have an increased risk of anterior cruciate ligament (ACL) tears, highlighting the importance of identifying risky movement patterns such as dynamic knee valgus (DKV). Qualitative movement screenings have explored two-dimensional (2D) scoring criteria for DKV, however, there remains limited data on the validity of these screening tools. Determining a 2D scoring criterion for DKV that closely aligns with three-dimensional (3D) biomechanical measures will allow for the identification of poor knee position in adolescent athletes on a broad scale. The purpose of this study was to establish a 2D scoring criterion that corresponds to 3D biomechanical measures of DKV.MethodsA total of 41 adolescent female club volleyball athletes performed a three-task movement screen consisting of a single-leg squat (SLS), single-leg drop landing (SLDL), and double-leg vertical jump (DLVJ). A single rater scored 2D videos of each task using four criteria for poor knee position. A motion capture system was used to calculate 3D joint angles, including pelvic obliquity, hip adduction, knee abduction, ankle eversion, and foot progression angle. Receiver operating characteristic curves were created for each 2D scoring criterion to determine cut points for the presence of movement faults, and areas under the curve (AUC) were computed to describe the accuracy of each 2D criterion compared to 3D biomechanical data.Results3D measures indicated knee abduction angles between 2.4°–4.6° (SD 4.1°–4.3°) at the time point when the center of the knee joint was most medial during the three tasks. AUCs were between 0.62 and 0.93 across scoring items. The MEDIAL scoring item, defined as the knee joint positioned inside the medial border of the shoe, demonstrated the greatest association to components of DKV, with AUCs ranging from 0.67 to 0.93.ConclusionThe MEDIAL scoring criterion demonstrated the best performance in distinguishing components of DKV, specifically pelvic obliquity, hip adduction, ankle eversion, and foot progression. Along with the previously published scoring definitions for trunk-specific risk factors, the authors suggest that the MEDIAL criterion may be the most indicative of DKV, given an association with 3D biomechanical risk factors. anterior cruciate ligament injury injury prevention motion capture video analysis qualitative movement analysis Sports Alex Loewen verfasserin aut Michael Dressing verfasserin aut Charles Wyatt verfasserin aut Charles Wyatt verfasserin aut Gretchen Oliver verfasserin aut Lauren Butler verfasserin aut Dai Sugimoto verfasserin aut Dai Sugimoto verfasserin aut Amanda M. Black verfasserin aut Kirsten Tulchin-Francis verfasserin aut David M. Bazett-Jones verfasserin aut Joseph Janosky verfasserin aut Sophia Ulman verfasserin aut Sophia Ulman verfasserin aut In Frontiers in Sports and Active Living Frontiers Media S.A., 2020 6(2024) (DE-627)1663340390 (DE-600)2969725-6 26249367 nnns volume:6 year:2024 https://doi.org/10.3389/fspor.2024.1352286 kostenfrei https://doaj.org/article/490baadf62f74cb6a46416805add2cc5 kostenfrei https://www.frontiersin.org/articles/10.3389/fspor.2024.1352286/full kostenfrei https://doaj.org/toc/2624-9367 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4598 GBV_ILN_4700 AR 6 2024 |
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10.3389/fspor.2024.1352286 doi (DE-627)DOAJ097181366 (DE-599)DOAJ490baadf62f74cb6a46416805add2cc5 DE-627 ger DE-627 rakwb eng GV557-1198.995 Ashley Erdman verfasserin aut A 2D video-based assessment is associated with 3D biomechanical contributors to dynamic knee valgus in the coronal plane 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionAdolescent athletes involved in sports that involve cutting and landing maneuvers have an increased risk of anterior cruciate ligament (ACL) tears, highlighting the importance of identifying risky movement patterns such as dynamic knee valgus (DKV). Qualitative movement screenings have explored two-dimensional (2D) scoring criteria for DKV, however, there remains limited data on the validity of these screening tools. Determining a 2D scoring criterion for DKV that closely aligns with three-dimensional (3D) biomechanical measures will allow for the identification of poor knee position in adolescent athletes on a broad scale. The purpose of this study was to establish a 2D scoring criterion that corresponds to 3D biomechanical measures of DKV.MethodsA total of 41 adolescent female club volleyball athletes performed a three-task movement screen consisting of a single-leg squat (SLS), single-leg drop landing (SLDL), and double-leg vertical jump (DLVJ). A single rater scored 2D videos of each task using four criteria for poor knee position. A motion capture system was used to calculate 3D joint angles, including pelvic obliquity, hip adduction, knee abduction, ankle eversion, and foot progression angle. Receiver operating characteristic curves were created for each 2D scoring criterion to determine cut points for the presence of movement faults, and areas under the curve (AUC) were computed to describe the accuracy of each 2D criterion compared to 3D biomechanical data.Results3D measures indicated knee abduction angles between 2.4°–4.6° (SD 4.1°–4.3°) at the time point when the center of the knee joint was most medial during the three tasks. AUCs were between 0.62 and 0.93 across scoring items. The MEDIAL scoring item, defined as the knee joint positioned inside the medial border of the shoe, demonstrated the greatest association to components of DKV, with AUCs ranging from 0.67 to 0.93.ConclusionThe MEDIAL scoring criterion demonstrated the best performance in distinguishing components of DKV, specifically pelvic obliquity, hip adduction, ankle eversion, and foot progression. Along with the previously published scoring definitions for trunk-specific risk factors, the authors suggest that the MEDIAL criterion may be the most indicative of DKV, given an association with 3D biomechanical risk factors. anterior cruciate ligament injury injury prevention motion capture video analysis qualitative movement analysis Sports Alex Loewen verfasserin aut Michael Dressing verfasserin aut Charles Wyatt verfasserin aut Charles Wyatt verfasserin aut Gretchen Oliver verfasserin aut Lauren Butler verfasserin aut Dai Sugimoto verfasserin aut Dai Sugimoto verfasserin aut Amanda M. Black verfasserin aut Kirsten Tulchin-Francis verfasserin aut David M. Bazett-Jones verfasserin aut Joseph Janosky verfasserin aut Sophia Ulman verfasserin aut Sophia Ulman verfasserin aut In Frontiers in Sports and Active Living Frontiers Media S.A., 2020 6(2024) (DE-627)1663340390 (DE-600)2969725-6 26249367 nnns volume:6 year:2024 https://doi.org/10.3389/fspor.2024.1352286 kostenfrei https://doaj.org/article/490baadf62f74cb6a46416805add2cc5 kostenfrei https://www.frontiersin.org/articles/10.3389/fspor.2024.1352286/full kostenfrei https://doaj.org/toc/2624-9367 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4598 GBV_ILN_4700 AR 6 2024 |
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10.3389/fspor.2024.1352286 doi (DE-627)DOAJ097181366 (DE-599)DOAJ490baadf62f74cb6a46416805add2cc5 DE-627 ger DE-627 rakwb eng GV557-1198.995 Ashley Erdman verfasserin aut A 2D video-based assessment is associated with 3D biomechanical contributors to dynamic knee valgus in the coronal plane 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionAdolescent athletes involved in sports that involve cutting and landing maneuvers have an increased risk of anterior cruciate ligament (ACL) tears, highlighting the importance of identifying risky movement patterns such as dynamic knee valgus (DKV). Qualitative movement screenings have explored two-dimensional (2D) scoring criteria for DKV, however, there remains limited data on the validity of these screening tools. Determining a 2D scoring criterion for DKV that closely aligns with three-dimensional (3D) biomechanical measures will allow for the identification of poor knee position in adolescent athletes on a broad scale. The purpose of this study was to establish a 2D scoring criterion that corresponds to 3D biomechanical measures of DKV.MethodsA total of 41 adolescent female club volleyball athletes performed a three-task movement screen consisting of a single-leg squat (SLS), single-leg drop landing (SLDL), and double-leg vertical jump (DLVJ). A single rater scored 2D videos of each task using four criteria for poor knee position. A motion capture system was used to calculate 3D joint angles, including pelvic obliquity, hip adduction, knee abduction, ankle eversion, and foot progression angle. Receiver operating characteristic curves were created for each 2D scoring criterion to determine cut points for the presence of movement faults, and areas under the curve (AUC) were computed to describe the accuracy of each 2D criterion compared to 3D biomechanical data.Results3D measures indicated knee abduction angles between 2.4°–4.6° (SD 4.1°–4.3°) at the time point when the center of the knee joint was most medial during the three tasks. AUCs were between 0.62 and 0.93 across scoring items. The MEDIAL scoring item, defined as the knee joint positioned inside the medial border of the shoe, demonstrated the greatest association to components of DKV, with AUCs ranging from 0.67 to 0.93.ConclusionThe MEDIAL scoring criterion demonstrated the best performance in distinguishing components of DKV, specifically pelvic obliquity, hip adduction, ankle eversion, and foot progression. Along with the previously published scoring definitions for trunk-specific risk factors, the authors suggest that the MEDIAL criterion may be the most indicative of DKV, given an association with 3D biomechanical risk factors. anterior cruciate ligament injury injury prevention motion capture video analysis qualitative movement analysis Sports Alex Loewen verfasserin aut Michael Dressing verfasserin aut Charles Wyatt verfasserin aut Charles Wyatt verfasserin aut Gretchen Oliver verfasserin aut Lauren Butler verfasserin aut Dai Sugimoto verfasserin aut Dai Sugimoto verfasserin aut Amanda M. Black verfasserin aut Kirsten Tulchin-Francis verfasserin aut David M. Bazett-Jones verfasserin aut Joseph Janosky verfasserin aut Sophia Ulman verfasserin aut Sophia Ulman verfasserin aut In Frontiers in Sports and Active Living Frontiers Media S.A., 2020 6(2024) (DE-627)1663340390 (DE-600)2969725-6 26249367 nnns volume:6 year:2024 https://doi.org/10.3389/fspor.2024.1352286 kostenfrei https://doaj.org/article/490baadf62f74cb6a46416805add2cc5 kostenfrei https://www.frontiersin.org/articles/10.3389/fspor.2024.1352286/full kostenfrei https://doaj.org/toc/2624-9367 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4598 GBV_ILN_4700 AR 6 2024 |
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10.3389/fspor.2024.1352286 doi (DE-627)DOAJ097181366 (DE-599)DOAJ490baadf62f74cb6a46416805add2cc5 DE-627 ger DE-627 rakwb eng GV557-1198.995 Ashley Erdman verfasserin aut A 2D video-based assessment is associated with 3D biomechanical contributors to dynamic knee valgus in the coronal plane 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionAdolescent athletes involved in sports that involve cutting and landing maneuvers have an increased risk of anterior cruciate ligament (ACL) tears, highlighting the importance of identifying risky movement patterns such as dynamic knee valgus (DKV). Qualitative movement screenings have explored two-dimensional (2D) scoring criteria for DKV, however, there remains limited data on the validity of these screening tools. Determining a 2D scoring criterion for DKV that closely aligns with three-dimensional (3D) biomechanical measures will allow for the identification of poor knee position in adolescent athletes on a broad scale. The purpose of this study was to establish a 2D scoring criterion that corresponds to 3D biomechanical measures of DKV.MethodsA total of 41 adolescent female club volleyball athletes performed a three-task movement screen consisting of a single-leg squat (SLS), single-leg drop landing (SLDL), and double-leg vertical jump (DLVJ). A single rater scored 2D videos of each task using four criteria for poor knee position. A motion capture system was used to calculate 3D joint angles, including pelvic obliquity, hip adduction, knee abduction, ankle eversion, and foot progression angle. Receiver operating characteristic curves were created for each 2D scoring criterion to determine cut points for the presence of movement faults, and areas under the curve (AUC) were computed to describe the accuracy of each 2D criterion compared to 3D biomechanical data.Results3D measures indicated knee abduction angles between 2.4°–4.6° (SD 4.1°–4.3°) at the time point when the center of the knee joint was most medial during the three tasks. AUCs were between 0.62 and 0.93 across scoring items. The MEDIAL scoring item, defined as the knee joint positioned inside the medial border of the shoe, demonstrated the greatest association to components of DKV, with AUCs ranging from 0.67 to 0.93.ConclusionThe MEDIAL scoring criterion demonstrated the best performance in distinguishing components of DKV, specifically pelvic obliquity, hip adduction, ankle eversion, and foot progression. Along with the previously published scoring definitions for trunk-specific risk factors, the authors suggest that the MEDIAL criterion may be the most indicative of DKV, given an association with 3D biomechanical risk factors. anterior cruciate ligament injury injury prevention motion capture video analysis qualitative movement analysis Sports Alex Loewen verfasserin aut Michael Dressing verfasserin aut Charles Wyatt verfasserin aut Charles Wyatt verfasserin aut Gretchen Oliver verfasserin aut Lauren Butler verfasserin aut Dai Sugimoto verfasserin aut Dai Sugimoto verfasserin aut Amanda M. Black verfasserin aut Kirsten Tulchin-Francis verfasserin aut David M. Bazett-Jones verfasserin aut Joseph Janosky verfasserin aut Sophia Ulman verfasserin aut Sophia Ulman verfasserin aut In Frontiers in Sports and Active Living Frontiers Media S.A., 2020 6(2024) (DE-627)1663340390 (DE-600)2969725-6 26249367 nnns volume:6 year:2024 https://doi.org/10.3389/fspor.2024.1352286 kostenfrei https://doaj.org/article/490baadf62f74cb6a46416805add2cc5 kostenfrei https://www.frontiersin.org/articles/10.3389/fspor.2024.1352286/full kostenfrei https://doaj.org/toc/2624-9367 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4598 GBV_ILN_4700 AR 6 2024 |
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Qualitative movement screenings have explored two-dimensional (2D) scoring criteria for DKV, however, there remains limited data on the validity of these screening tools. Determining a 2D scoring criterion for DKV that closely aligns with three-dimensional (3D) biomechanical measures will allow for the identification of poor knee position in adolescent athletes on a broad scale. The purpose of this study was to establish a 2D scoring criterion that corresponds to 3D biomechanical measures of DKV.MethodsA total of 41 adolescent female club volleyball athletes performed a three-task movement screen consisting of a single-leg squat (SLS), single-leg drop landing (SLDL), and double-leg vertical jump (DLVJ). A single rater scored 2D videos of each task using four criteria for poor knee position. A motion capture system was used to calculate 3D joint angles, including pelvic obliquity, hip adduction, knee abduction, ankle eversion, and foot progression angle. Receiver operating characteristic curves were created for each 2D scoring criterion to determine cut points for the presence of movement faults, and areas under the curve (AUC) were computed to describe the accuracy of each 2D criterion compared to 3D biomechanical data.Results3D measures indicated knee abduction angles between 2.4°–4.6° (SD 4.1°–4.3°) at the time point when the center of the knee joint was most medial during the three tasks. AUCs were between 0.62 and 0.93 across scoring items. The MEDIAL scoring item, defined as the knee joint positioned inside the medial border of the shoe, demonstrated the greatest association to components of DKV, with AUCs ranging from 0.67 to 0.93.ConclusionThe MEDIAL scoring criterion demonstrated the best performance in distinguishing components of DKV, specifically pelvic obliquity, hip adduction, ankle eversion, and foot progression. 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Ashley Erdman Alex Loewen Michael Dressing Charles Wyatt Gretchen Oliver Lauren Butler Dai Sugimoto Amanda M. Black Kirsten Tulchin-Francis David M. Bazett-Jones Joseph Janosky Sophia Ulman |
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2d video-based assessment is associated with 3d biomechanical contributors to dynamic knee valgus in the coronal plane |
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GV557-1198.995 |
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A 2D video-based assessment is associated with 3D biomechanical contributors to dynamic knee valgus in the coronal plane |
abstract |
IntroductionAdolescent athletes involved in sports that involve cutting and landing maneuvers have an increased risk of anterior cruciate ligament (ACL) tears, highlighting the importance of identifying risky movement patterns such as dynamic knee valgus (DKV). Qualitative movement screenings have explored two-dimensional (2D) scoring criteria for DKV, however, there remains limited data on the validity of these screening tools. Determining a 2D scoring criterion for DKV that closely aligns with three-dimensional (3D) biomechanical measures will allow for the identification of poor knee position in adolescent athletes on a broad scale. The purpose of this study was to establish a 2D scoring criterion that corresponds to 3D biomechanical measures of DKV.MethodsA total of 41 adolescent female club volleyball athletes performed a three-task movement screen consisting of a single-leg squat (SLS), single-leg drop landing (SLDL), and double-leg vertical jump (DLVJ). A single rater scored 2D videos of each task using four criteria for poor knee position. A motion capture system was used to calculate 3D joint angles, including pelvic obliquity, hip adduction, knee abduction, ankle eversion, and foot progression angle. Receiver operating characteristic curves were created for each 2D scoring criterion to determine cut points for the presence of movement faults, and areas under the curve (AUC) were computed to describe the accuracy of each 2D criterion compared to 3D biomechanical data.Results3D measures indicated knee abduction angles between 2.4°–4.6° (SD 4.1°–4.3°) at the time point when the center of the knee joint was most medial during the three tasks. AUCs were between 0.62 and 0.93 across scoring items. The MEDIAL scoring item, defined as the knee joint positioned inside the medial border of the shoe, demonstrated the greatest association to components of DKV, with AUCs ranging from 0.67 to 0.93.ConclusionThe MEDIAL scoring criterion demonstrated the best performance in distinguishing components of DKV, specifically pelvic obliquity, hip adduction, ankle eversion, and foot progression. Along with the previously published scoring definitions for trunk-specific risk factors, the authors suggest that the MEDIAL criterion may be the most indicative of DKV, given an association with 3D biomechanical risk factors. |
abstractGer |
IntroductionAdolescent athletes involved in sports that involve cutting and landing maneuvers have an increased risk of anterior cruciate ligament (ACL) tears, highlighting the importance of identifying risky movement patterns such as dynamic knee valgus (DKV). Qualitative movement screenings have explored two-dimensional (2D) scoring criteria for DKV, however, there remains limited data on the validity of these screening tools. Determining a 2D scoring criterion for DKV that closely aligns with three-dimensional (3D) biomechanical measures will allow for the identification of poor knee position in adolescent athletes on a broad scale. The purpose of this study was to establish a 2D scoring criterion that corresponds to 3D biomechanical measures of DKV.MethodsA total of 41 adolescent female club volleyball athletes performed a three-task movement screen consisting of a single-leg squat (SLS), single-leg drop landing (SLDL), and double-leg vertical jump (DLVJ). A single rater scored 2D videos of each task using four criteria for poor knee position. A motion capture system was used to calculate 3D joint angles, including pelvic obliquity, hip adduction, knee abduction, ankle eversion, and foot progression angle. Receiver operating characteristic curves were created for each 2D scoring criterion to determine cut points for the presence of movement faults, and areas under the curve (AUC) were computed to describe the accuracy of each 2D criterion compared to 3D biomechanical data.Results3D measures indicated knee abduction angles between 2.4°–4.6° (SD 4.1°–4.3°) at the time point when the center of the knee joint was most medial during the three tasks. AUCs were between 0.62 and 0.93 across scoring items. The MEDIAL scoring item, defined as the knee joint positioned inside the medial border of the shoe, demonstrated the greatest association to components of DKV, with AUCs ranging from 0.67 to 0.93.ConclusionThe MEDIAL scoring criterion demonstrated the best performance in distinguishing components of DKV, specifically pelvic obliquity, hip adduction, ankle eversion, and foot progression. Along with the previously published scoring definitions for trunk-specific risk factors, the authors suggest that the MEDIAL criterion may be the most indicative of DKV, given an association with 3D biomechanical risk factors. |
abstract_unstemmed |
IntroductionAdolescent athletes involved in sports that involve cutting and landing maneuvers have an increased risk of anterior cruciate ligament (ACL) tears, highlighting the importance of identifying risky movement patterns such as dynamic knee valgus (DKV). Qualitative movement screenings have explored two-dimensional (2D) scoring criteria for DKV, however, there remains limited data on the validity of these screening tools. Determining a 2D scoring criterion for DKV that closely aligns with three-dimensional (3D) biomechanical measures will allow for the identification of poor knee position in adolescent athletes on a broad scale. The purpose of this study was to establish a 2D scoring criterion that corresponds to 3D biomechanical measures of DKV.MethodsA total of 41 adolescent female club volleyball athletes performed a three-task movement screen consisting of a single-leg squat (SLS), single-leg drop landing (SLDL), and double-leg vertical jump (DLVJ). A single rater scored 2D videos of each task using four criteria for poor knee position. A motion capture system was used to calculate 3D joint angles, including pelvic obliquity, hip adduction, knee abduction, ankle eversion, and foot progression angle. Receiver operating characteristic curves were created for each 2D scoring criterion to determine cut points for the presence of movement faults, and areas under the curve (AUC) were computed to describe the accuracy of each 2D criterion compared to 3D biomechanical data.Results3D measures indicated knee abduction angles between 2.4°–4.6° (SD 4.1°–4.3°) at the time point when the center of the knee joint was most medial during the three tasks. AUCs were between 0.62 and 0.93 across scoring items. The MEDIAL scoring item, defined as the knee joint positioned inside the medial border of the shoe, demonstrated the greatest association to components of DKV, with AUCs ranging from 0.67 to 0.93.ConclusionThe MEDIAL scoring criterion demonstrated the best performance in distinguishing components of DKV, specifically pelvic obliquity, hip adduction, ankle eversion, and foot progression. Along with the previously published scoring definitions for trunk-specific risk factors, the authors suggest that the MEDIAL criterion may be the most indicative of DKV, given an association with 3D biomechanical risk factors. |
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A 2D video-based assessment is associated with 3D biomechanical contributors to dynamic knee valgus in the coronal plane |
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https://doi.org/10.3389/fspor.2024.1352286 https://doaj.org/article/490baadf62f74cb6a46416805add2cc5 https://www.frontiersin.org/articles/10.3389/fspor.2024.1352286/full https://doaj.org/toc/2624-9367 |
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