Thursday-Abstracts

Official Journal of the American College of Sports Medicine
PL (3.7 ± 2.8 cm vs. 3.6 ± 2.8 cm; p = 0.75).
CONCLusION: While females and males may perform similarly in FMS and YBT
CS, differences appear in some FMS components and YBT ANT asymmetry. Females
performed better on FMS components involving flexibility and balance, but worse on
components associated with core strength. Researchers should consider sex stratified
analysis.
1722 Board #5 May 30, 3:15 PM - 5:15 PM
Physical Contributors to Glenohumeral Internal rotation
deficit in high school Baseball Players
Elizabeth E. Hibberd1 , Casey E. Shutt2 , Sakiko Oyama3 , J. Troy
Blackburn1 , Joseph B. Myers1 . 1UNC-Chapel Hill, Chapel Hill,
NC. 2U.S. Army-Baylor University, San Antonio, TX. 3University of Texas- San Antonio, San Antonio, TX. (Sponsor: Kevin
Guskiewicz, FACSM)
(No relationships reported)
Glenohumeral Internal Rotation Deficit (GIRD) of the throwing shoulder relative to
the non-throwing shoulder in baseball players is a risk factor for shoulder and elbow
injury. Although this evidence forms a basis for recommending stretching exercises
to prevent injuries, clinical measures of internal rotation range of motion (ROM) do
not differentiate if GIRD is due to muscular, capsuloligamentous, or bony factors.
Understanding the contributions of these components is important for the development
of targeted interventions.
PurPOsE: The purpose of this study was to determine the extent to which the
muscular, capsuloligamentous, and bony components contribute to GIRD in high
school baseball players.
METhOds: 166 baseball players (age=15.9 ± 1.4yrs, height=178.4 ± 6.5cm,
mass=74.1±12.2kg) were evaluated on internal rotation ROM (digital inclinometer),
teres minor, infraspinatus, and posterior deltoid muscle stiffness (muscle compliance
probe), posterior capsule thickness (diagnostic ultrasound), and humeral retrotorsion
(diagnostic ultrasound). A side-to-side difference in each variable was calculated
as dependent variables. Variables were entered into a stepwise linear regression to
determine the predictors of GIRD, where only variables that significantly contributed
to the model (p