Faculty of Physical Education, Hainan Normal University, Haikou, Hainan Province, China.
Hainan College of Software Technology, Qionghai, China.
PeerJ. 2024 May 24;12:e17411. doi: 10.7717/peerj.17411. eCollection 2024.
BACKGROUND: This study aims to examine the relationship between functional movements and golf performance using the Golf Specific Functional Movement Screen (GSFMS). METHODS: 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 (., pelvic tilt, pelvic rotation, and torso rotation) was used. RESULTS: 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 R = 0.312, F = 2.663, < 0.05). Standardised β values indicate that pelvic rotation ( = 0.398) has a more substantial impact on golf skill levels than lower-body rotation ( = 0.315. CONCLUSIONS: 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.
背景:本研究旨在使用特定于高尔夫的功能性运动筛查(GSFMS)来检验功能性运动与高尔夫表现之间的关系。
方法:本横断面研究共纳入 56 名符合条件的大学生高尔夫球手(年龄 20.89±0.99 岁,身高 174.55±7.76cm,体重 68.48±9.30kg),他们于 2022 年 6 月从海南师范大学招募。测试了参与者的高尔夫运动技能(1 码推杆、10 码推杆、25 码切杆、130/100 码定杆、球杆和 9 洞击球)和 GSFMS(.,骨盆倾斜、骨盆旋转和躯干旋转)。
结果:变量之间存在显著的弱相关或中度相关。此外,多元线性回归分析发现,骨盆旋转和下半身旋转能力可以显著预测高尔夫技能水平,共同解释大学生高尔夫球手高尔夫技能水平变化的 31.2%(调整后的 R=0.312,F=2.663,<0.05)。标准化β值表明骨盆旋转(=0.398)对高尔夫技能水平的影响大于下半身旋转(=0.315.
结论:本研究发现 GSFMS 与高尔夫表现之间存在弱到中度的相关性,以及骨盆旋转和下半身旋转能力与高尔夫技能之间存在相关性,从而预测高尔夫技能。我们的研究结果为 Gray Cook 的运动金字塔模型背景下功能性能力与综合技能表现之间的关系提供了新的见解,并为大学生高尔夫运动技能学习和运动损伤预防提供了理论支持和实践参考。
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