PDF(Pubmed)
Abstract：
UNASSIGNED: This study aims to examine the relationship between functional movements and golf performance using the Golf Specific Functional Movement Screen (GSFMS).
UNASSIGNED: This cross-sectional study included a total of 56 collegiate golfers (aged 20.89 ± 0.99 years, height of 174.55 ± 7.76 cm, and weight 68.48 ± 9.30 kg) who met the criteria, and were recruited from Hainan Normal University in June 2022. The participants\' golf motor skills (1-yard putt, 10-yard putt, 25-yard chip, 130/100-yard set shot, driver, and 9-hole stroke play) were tested and the GSFMS (e.g., pelvic tilt, pelvic rotation, and torso rotation) was used.
UNASSIGNED: There were significant weak or moderate correlations between the variables. Furthermore, a multiple linear regression analysis found that pelvic rotation and lower-body rotation abilities can significantly predict golf skill levels, which collectively explain 31.2% of the variance in golf skill levels among collegiate golfers (Adjusted R2 = 0.312, F = 2.663, p < 0.05). Standardised β values indicate that pelvic rotation (β = 0.398) has a more substantial impact on golf skill levels than lower-body rotation (β = 0.315).
UNASSIGNED: This study found the weak to moderate correlations between the GSFMS and golf performance, and pelvic rotation and lower-body rotation abilities, thus predicting golf skills. Our findings provide novel insights into the relationship between functional abilities and comprehensive skill performance within the context of the Gray Cook\'s Movement Pyramid model, and provide theoretical support and practical reference for collegiate golf motor-skill learning and sports injury prevention.
UNASSIGNED: This cross-sectional study included a total of 56 collegiate golfers (aged 20.89 ± 0.99 years, height of 174.55 ± 7.76 cm, and weight 68.48 ± 9.30 kg) who met the criteria, and were recruited from Hainan Normal University in June 2022. The participants\' golf motor skills (1-yard putt, 10-yard putt, 25-yard chip, 130/100-yard set shot, driver, and 9-hole stroke play) were tested and the GSFMS (e.g., pelvic tilt, pelvic rotation, and torso rotation) was used.
UNASSIGNED: There were significant weak or moderate correlations between the variables. Furthermore, a multiple linear regression analysis found that pelvic rotation and lower-body rotation abilities can significantly predict golf skill levels, which collectively explain 31.2% of the variance in golf skill levels among collegiate golfers (Adjusted R2 = 0.312, F = 2.663, p < 0.05). Standardised β values indicate that pelvic rotation (β = 0.398) has a more substantial impact on golf skill levels than lower-body rotation (β = 0.315).
UNASSIGNED: This study found the weak to moderate correlations between the GSFMS and golf performance, and pelvic rotation and lower-body rotation abilities, thus predicting golf skills. Our findings provide novel insights into the relationship between functional abilities and comprehensive skill performance within the context of the Gray Cook\'s Movement Pyramid model, and provide theoretical support and practical reference for collegiate golf motor-skill learning and sports injury prevention.
摘要：
■本研究旨在使用高尔夫特定功能运动屏幕（GSFMS）检查功能运动与高尔夫性能之间的关系。
■这项横断面研究共包括56名大学高尔夫球手（年龄为20.89±0.99岁，高度174.55±7.76厘米，和体重68.48±9.30kg)谁符合标准，并于2022年6月从海南师范大学招募。参与者的高尔夫运动技能(1码推杆，10码推杆,25码芯片,130/100码的布景射击，司机,和9洞击球)进行了测试，并进行了GSFMS(例如，骨盆倾斜,骨盆旋转,和躯干旋转)被使用。
■变量之间存在显著的弱或中等相关性。此外，多元线性回归分析发现，骨盆旋转和下身旋转能力可以显着预测高尔夫技术水平，这共同解释了大学高尔夫球手高尔夫技能水平差异的31.2％（调整后的R2=0.312，F=2.663，p<0.05）。标准化的β值表明骨盆旋转（β=0.398）比下身旋转（β=0.315）对高尔夫技能水平的影响更大。
■这项研究发现，GSFMS与高尔夫性能之间存在弱到中等的相关性，骨盆旋转和下半身旋转能力，从而预测高尔夫技能。我们的发现在GrayCook的运动金字塔模型的背景下，为功能能力和综合技能表现之间的关系提供了新的见解。为大学生高尔夫运动技能学习和运动损伤预防提供理论支持和实践参考。
■这项横断面研究共包括56名大学高尔夫球手（年龄为20.89±0.99岁，高度174.55±7.76厘米，和体重68.48±9.30kg)谁符合标准，并于2022年6月从海南师范大学招募。参与者的高尔夫运动技能(1码推杆，10码推杆,25码芯片,130/100码的布景射击，司机,和9洞击球)进行了测试，并进行了GSFMS(例如，骨盆倾斜,骨盆旋转,和躯干旋转)被使用。
■变量之间存在显著的弱或中等相关性。此外，多元线性回归分析发现，骨盆旋转和下身旋转能力可以显着预测高尔夫技术水平，这共同解释了大学高尔夫球手高尔夫技能水平差异的31.2％（调整后的R2=0.312，F=2.663，p<0.05）。标准化的β值表明骨盆旋转（β=0.398）比下身旋转（β=0.315）对高尔夫技能水平的影响更大。
■这项研究发现，GSFMS与高尔夫性能之间存在弱到中等的相关性，骨盆旋转和下半身旋转能力，从而预测高尔夫技能。我们的发现在GrayCook的运动金字塔模型的背景下，为功能能力和综合技能表现之间的关系提供了新的见解。为大学生高尔夫运动技能学习和运动损伤预防提供理论支持和实践参考。
