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Int J Sports Phys Ther ; 14(4): 537-545, 2019 Jul.
Article in English | MEDLINE | ID: mdl-31440406

ABSTRACT

BACKGROUND: Sports medicine professionals have instituted easy to use on field screening tests to determine physical readiness and identify athletes who may have increased injury risk. Currently there is little research on fundamental movement and dynamic balance abilities in golfers. PURPOSE: To examine differences in fundamental movement patterns and dynamic balance in varying competition levels in golfers. STUDY DESIGN: Cross-sectional Cohort. METHODS: The Functional Movement ScreenTM (FMS), and Y-Balance Test Upper Quarter and Lower Quarter (YBT-LQ/UQ) were performed on middle school (MS), high school (HS), college (COL), and professional (PRO) golfers. The FMSTM was assessed for individual tests and composite score. The YBT-LQ/UQ reaches were averaged normalized to limb length. Statistical analysis was completed with a series of Kruskall-Wallis tests with Dunn's post hoc for the FMS™ and YBT-LQ/UQ asymmetries, and a series of ANOVAs, with Tukey's post hoc for the YBT-LQ/UQ reaches (p<0.05). Effect Size Indices (ESI) were also calculated to determine clinical relevance. RESULTS: A total of 53 MS, 129 HS, 207 COL, and 29 PRO golfers were included in this study. Significant differences were observed between COL and HS in two FMS™ tests (push up; p=0.001), active straight leg raise; p=0.0019). PRO golfers YBT-LQ posteromedial reaches were greater than MS (p=0.0127, ESI = 4.3552). PRO YBT-UQ medial reaches were greater than COL (p<0.0001, ESI = 0.8915), HS (p<0.0001, ESI = 1.2640) and MS (p<0.001, ESI = 1.4218). PRO inferolateral (IL) and superoloateral (SL) reaches were greater [IL: COL (p=0.0427, ESI = 0.4413), HS (p=0.0002, ESI = 0.5851)], [SL: COL (p=0.0005, ESI = 0.5990), HS (p=0.0004, ESI = 0.6068)]. YBT-UQ composite scores were greater for PRO compared to COL (p<0.0001, ESI = 0.7657), HS (p<0.0001, ESI = 0.8161) and MS (p<0.0001, ESI = 1.085). CONCLUSIONS: Differences were observed in golfer's fundamental movement patterns in relationship to competition level. These data can be utilized to design personalized training programs that focus to improve movement quality. LEVEL OF EVIDENCE: 2b.

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