School of Sport Sciences and Technology, Biomechanics Research Group, Hacettepe University, Ankara, Turkey.
J Sports Sci. 2012;30(7):669-77. doi: 10.1080/02640414.2012.658845. Epub 2012 Feb 17.
The aim of this study was to understand how the commonly used climbing-specific grip techniques and hold depths influence the finger force capacities. Ten advanced climbers performed maximal voluntary force on four different hold depths (from 1 to 4 cm) and in two force directions (antero-posterior and vertical) using three grip techniques (slope, half crimp and full crimp). A specially designed platform instrumented with a 6-degrees-of-freedom (DoF) force/torque sensor was used to record force values. Results showed that the maximal vertical forces differed significantly according to the hold depth and the grip technique (ranged from 350.8 N to 575.7 N). The maximal vertical forces increased according to the hold depth but the form of this increase differed depending on grip technique. These results seemed to be more associated with finger-hold contact/interaction than with internal biomechanical factors. Similar results were revealed for antero-posterior forces (ranged from 69.9 N to 138.0 N) but, it was additionally noted that climbers have different hand-forearm posture strategies with slope and crimp grip techniques when applying antero-posterior forces. This point is important as it could influence the body position adopted during climbing according to the chosen grip technique. For trainers and designers, a polynomial regression model was proposed in order to predict the mean maximal force based on hold depth and adopted grip technique.
本研究旨在了解常用的攀岩特定握法和握点深度如何影响手指力量。十位高级攀岩者在两种力的方向(前后向和垂直向)上使用三种握法(斜握、半握和全握)对四个不同的握点深度(1 至 4 厘米)进行了最大自主力测试。专门设计的平台配备了一个 6 自由度(DoF)力/扭矩传感器,用于记录力值。结果表明,最大垂直力根据握点深度和握法显著不同(范围从 350.8N 到 575.7N)。最大垂直力随着握点深度的增加而增加,但增加的形式因握法而异。这些结果似乎与手指与握点的接触/相互作用有关,而不是与内部生物力学因素有关。前后向力也有类似的结果(范围从 69.9N 到 138.0N),但值得注意的是,当施加前后向力时,斜握和半握的握法下,攀岩者对手臂的姿势策略不同。这一点很重要,因为它可能会根据所选的握法影响攀爬时的身体姿势。对于教练和设计师,我们提出了一个多项式回归模型,以便根据握点深度和采用的握法预测平均最大力。