Development of a Concussion Risk Function for a Youth Population Using Head Linear and Rotational Acceleration

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dc.contributor.authorCampolettano, Eamon T.en
dc.contributor.authorGellner, Ryan A.en
dc.contributor.authorSmith, Eric P.en
dc.contributor.authorBellamkonda, Srinidhien
dc.contributor.authorTierney, Casey T.en
dc.contributor.authorCrisco, Joseph J.en
dc.contributor.authorJones, Derek A.en
dc.contributor.authorKelley, Mireille E.en
dc.contributor.authorUrban, Jillian E.en
dc.contributor.authorStitzel, Joel D.en
dc.contributor.authorGenemaras, Amarisen
dc.contributor.authorBeckwith, Jonathan G.en
dc.contributor.authorGreenwald, Richard M.en
dc.contributor.authorMaerlender, Arthur C.en
dc.contributor.authorBrolinson, Per Gunnaren
dc.contributor.authorDuma, Stefan M.en
dc.contributor.authorRowson, Stevenen
dc.contributor.departmentBiomedical Engineering and Mechanicsen
dc.contributor.departmentStatisticsen
dc.date.accessioned2021-09-29T16:33:42Zen
dc.date.available2021-09-29T16:33:42Zen
dc.date.issued2019-10-28en
dc.date.updated2021-09-29T16:33:39Zen
dc.description.abstractPhysical differences between youth and adults, which include incomplete myelination, limited neck muscle development, and a higher head-body ratio in the youth population, likely contribute towards the increased susceptibility of youth to concussion. Previous research efforts have considered the biomechanics of concussion for adult populations, but these known age-related differences highlight the necessity of quantifying the risk of concussion for a youth population. This study adapted the previously developed Generalized Acceleration Model for Brian Injury Threshold (GAMBIT) that combines linear and rotational head acceleration to model the risk of concussion for a youth population with the Generalized Acceleration Model for Concussion in Youth (GAM-CY). Survival analysis was used in conjunction with head impact data collected during participation in youth football to model risk between individuals who sustained medically-diagnosed concussions (n = 15). Receiver operator characteristic curves were generated for peak linear acceleration, peak rotational acceleration, and GAM-CY, all of which were observed to be better injury predictors than random guessing. GAM-CY was associated with an area under the curve of 0.89 (95% confidence interval: 0.82–0.95) when all head impacts experienced by the concussed players were considered. Concussion tolerance was observed to be lower for youth athletes, with average peak linear head acceleration of 62.4 ± 29.7 g compared to 102.5 ± 32.7 g for adults and average peak rotational head acceleration of 2609 ± 1591 rad/s2 compared to 4412 ± 2326 rad/s2. These data provide further evidence of age-related differences in concussion tolerance and may be used for the development of youth-specific protective designs.en
dc.description.versionPublished versionen
dc.format.extentPages 92-103en
dc.format.extent12 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1007/s10439-019-02382-2en
dc.identifier.eissn1573-9686en
dc.identifier.issn0090-6964en
dc.identifier.issue1en
dc.identifier.orcidSmith, Eric [0000-0001-6751-2025]en
dc.identifier.orcidRowson, Steven [0000-0002-3227-0596]en
dc.identifier.other10.1007/s10439-019-02382-2 (PII)en
dc.identifier.pmid31659605en
dc.identifier.urihttp://hdl.handle.net/10919/105107en
dc.identifier.volume48en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000492938200003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectTechnologyen
dc.subjectEngineering, Biomedicalen
dc.subjectEngineeringen
dc.subjectBiomechanicsen
dc.subjectHelmeten
dc.subjectRisk curveen
dc.subjectMild traumatic brain injuryen
dc.subjectFootballen
dc.subjectCHRONIC TRAUMATIC ENCEPHALOPATHYen
dc.subjectIMPACT EXPOSUREen
dc.subjectFOOTBALL PLAYERSen
dc.subjectINJURYen
dc.subjectEPIDEMIOLOGYen
dc.subjectVALIDATIONen
dc.subjectKINEMATICSen
dc.subjectCOLLEGIATEen
dc.subjectSEVERITYen
dc.subjectCHILDRENen
dc.subject09 Engineeringen
dc.subject11 Medical and Health Sciencesen
dc.subjectBiomedical Engineeringen
dc.subject.meshHeaden
dc.subject.meshHumansen
dc.subject.meshBrain Concussionen
dc.subject.meshRisken
dc.subject.meshAccelerationen
dc.subject.meshRotationen
dc.subject.meshModels, Theoreticalen
dc.subject.meshFootballen
dc.subject.meshAdolescenten
dc.subject.meshChilden
dc.subject.meshAccelerometryen
dc.titleDevelopment of a Concussion Risk Function for a Youth Population Using Head Linear and Rotational Accelerationen
dc.title.serialAnnals of Biomedical Engineeringen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
dcterms.dateAccepted2019-10-09en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Scienceen
pubs.organisational-group/Virginia Tech/Science/Statisticsen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/University Research Institutesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciencesen
pubs.organisational-group/Virginia Tech/Engineering/Biomedical Engineering and Mechanicsen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen
pubs.organisational-group/Virginia Tech/Science/COS T&R Facultyen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciences/Durelle Scotten

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