The effects of specific signal forewarning on ACL loading factors and performance in an unanticipated jump landing Taylour Hinshaw.

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Presentation transcript:

The effects of specific signal forewarning on ACL loading factors and performance in an unanticipated jump landing Taylour Hinshaw

Introduction  The anterior cruciate ligament (ACL)

ACL Injury Pandemic  Anterior cruciate ligament (ACL) injuries pervasively common  Major load on healthcare system (Hootman et al, 2007; Hewett et al, 2007; Brophy et al, 2009)  ACL reconstruction  Not particularly effective (Kamath et al, 2010)  Post-reconstruction performance low (Busfield et al, 2009)

Prevention  70% of ACL injuries are non-contact (Boden et al, 2000)  Prevention through intervention training

Testing Methodologies  Perhaps lab testing lacking dynamic nature of sport performance?  Previous literature introduced unanticipated testing conditions  Resulted in increases in ACL loading factors (Sell et al, 2006; Borotikar et al, 2008; Fong et al, 2014)

Refinement in Process  Lack of stimulus timing quantification in classically unanticipated (CU) research  Flawed unanticipated assumption?  Research indicates LE pre-motor activation times of ~ ms (McLean et al, 2010)

Timed Unanticipated  Recent timed-stimuli research investigated stimuli ms before landing (Brown et al, 2009)  Found no differences in timed unanticipated (TU) conditions  Did not investigate critical window

Current Direction  Current research will investigate the effects of manipulating stimuli timing at five specific points  Anticipated (AN), classically unanticipated (CU), timed unanticipated at 300ms (TU300) and 150ms (TU150) before landing, and at landing (LA).

Purpose  Investigating effects of stimulus timing 0ms to 400ms before landing necessary  Hypothesized that ACL loading factors would increase and performance would decrease as time to react decreased

Participants  21 uninjured volunteers (8F, 13 M; 22±4 years; 1.74±0.08 m; 72±16 kg)  Provided consent and performed warm-up

Protocol

 Participants performed 45 jump trials:  Three jumps in three directions per stimulus timing: Anticipated (AN), instant of takeoff (CU), 300ms prelanding (TU300), 150ms prelanding (TU150), and at landing (LA)

Data Reduction  Kinetic analysis  Injury variables  Peak impact Fz  Performance variables  Peak jump Fz  Contact time (CT)

Statistics  Repeated measures AOV  Time conditions (5) and jump direction (3)  Post-hoc AOV -> paired t-tests  Alpha value = 0.05

Impact Fz Circle- medial Square- jump up Triangle- lateral

Jump Fz Circle- medial Square- jump up Triangle- lateral

Contact Time Circle- medial Square- jump up Triangle- lateral

Results Related to Previous Literature  Detected significant change in CT  Previous investigations did not analyze performance variables (Brown et al, 2009)  No difference in AN and CU conditions  Unlike majority of previous literature (Sell et al, 2006; Borotikar et al, 2008; Fong et al, 2014)

Limitations  Incomplete sample  Basic investigation on limited variables

Future Direction  Complete full analysis  Results may indicate timing cutoff  Changes in future methodology

Take-Home Message  Individuals working with athletes should focus on maximizing performance after 300 ms cutoff while still decreasing injury factors

The effects of specific signal forewarning on ACL loading factors and performance in an unanticipated jump landing Taylour Hinshaw

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