Event Title
Correlation of Functional Movement Screens and Golf Swing Faults
Presentation Type
Poster/Portfolio
Presenter Major(s)
Exercise Science
Mentor Information
Heather Gulgin, gulginh@gvsu.edu
Department
Movement Science
Location
Henry Hall Atrium 102
Start Date
13-4-2011 12:00 PM
End Date
13-4-2011 1:00 PM
Keywords
Health and Wellness
Abstract
The purpose of this study was to examine the correlations of various functional movements and common golf swing faults. Thirty six healthy male and female volunteers ages 14-55 were used for the study. Each subject was surveyed on physical activity and any injuries that affect their ability to play golf. Next, the subject was asked to perform 12 functional movement screens involving flexibility, strength, balance, and coordination through the Titleist Performance Institute (TPI) Level 1 golf fitness screening process. The performance of each screen was evaluated by a TPI certified professional. The subject then hit golf shots with a 5-iron while being videotaped. Their swings were then analyzed on Dartfish or V1 software to identify 14 possible swing faults as defined by the TPI. The data from the functional screens were translated into quantitative data and analyzed using SPSS software to investigate correlations with the swing faults.
Correlation of Functional Movement Screens and Golf Swing Faults
Henry Hall Atrium 102
The purpose of this study was to examine the correlations of various functional movements and common golf swing faults. Thirty six healthy male and female volunteers ages 14-55 were used for the study. Each subject was surveyed on physical activity and any injuries that affect their ability to play golf. Next, the subject was asked to perform 12 functional movement screens involving flexibility, strength, balance, and coordination through the Titleist Performance Institute (TPI) Level 1 golf fitness screening process. The performance of each screen was evaluated by a TPI certified professional. The subject then hit golf shots with a 5-iron while being videotaped. Their swings were then analyzed on Dartfish or V1 software to identify 14 possible swing faults as defined by the TPI. The data from the functional screens were translated into quantitative data and analyzed using SPSS software to investigate correlations with the swing faults.