Αρχειοθήκη ιστολογίου

Τρίτη 2 Ιανουαρίου 2018

Can Functional Movement Assessment Predict Football Head Impact Biomechanics?

ABSTRACTPurposeTo determine functional movement assessments' ability to predict head impact biomechanics in college football players, and to determine whether head impact biomechanics could explain preseason to postseason changes in functional movement performance.MethodsParticipants (N = 44, mass = 109.0 ± 20.8 kg, age = 20.0 ± 1.3 years) underwent two preseason and postseason functional movement assessment screenings: 1) Fusionetics Movement Efficiency Test, and 2) Landing Error Scoring System (LESS). Fusionetics is scored 0 to 100, and participants were categorized into the following movement quality groups as previously published: good (≥75); moderate (50 to 75); and poor ( 7 errors). The Head Impact Telemetry (HIT) System measured head impact frequency and magnitude (linear acceleration and rotational acceleration). An encoder with six single-axis accelerometers was inserted between the padding of a commercially available Riddell football helmet. We employed random intercepts general linear mixed models to analyze our data.ResultsThere were no effects of preseason movement assessment group on the two HIT System impact outcomes: linear acceleration and rotational acceleration. Head impact frequency did not significantly predict preseason to postseason score changes obtained from the Fusionetics (F1,36 = 0.22, P = 0.643, R2=0.006) or the LESS (F1,36 7 errors). The Head Impact Telemetry (HIT) System measured head impact frequency and magnitude (linear acceleration and rotational acceleration). An encoder with six single-axis accelerometers was inserted between the padding of a commercially available Riddell football helmet. We employed random intercepts general linear mixed models to analyze our data. Results There were no effects of preseason movement assessment group on the two HIT System impact outcomes: linear acceleration and rotational acceleration. Head impact frequency did not significantly predict preseason to postseason score changes obtained from the Fusionetics (F1,36 = 0.22, P = 0.643, R2=0.006) or the LESS (F1,36

from #ORL-AlexandrosSfakianakis via ola Kala on Inoreader http://ift.tt/2CvmzI1

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