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Can we predict whether an athlete will sustain an ACL tear? Letchford, Liz.. University of Hawaii , 15 Nov 2015. Experiment. doi: 10.18258/6239
a prospective cohort design, information will be gathered about the
profile of the ACL-injured athlete. 200 female soccer players will be
recruited from the
greater San Francisco, California area and the greater Honolulu,
Hawaii area. Researchers will obtain detailed information on past medical
history (history of injury, concussion, familial tendency for
ligamentous tears) as well as athletic history (sport participation,
position of play). Anthropometrics and biomarkers for stress (IL-6,
mTOR, salivary cortisol, IGF-1), and vitamins
and minerals (25-OHD, Iron) will be collected. Biomechanical data
will be collected through the use of a visual assessment (Landing
Error Scoring System) to assess the association between lower
extremity movement patterns and musculoskeletal injury. Updates to
lifestyle factors (perceived stress levels, hours of activity,
average sleep) will be collected via monthly questionnaires. One
subsequent interview and data collection will be conducted at the conclusion
of the athletic season.
Multiple regression analyses will be used to assess the relationship between each risk factor and risk for Anterior Cruciate Ligament injury. A t-test will be used to determine the predictive ability of the LESS test in the study population.
This project has not yet shared any protocols.