Int J Sports Physiol Perform. 2022 May 1;17(5):768-773. doi: 10.1123/ijspp.2021-0422. Epub 2022 Mar 2.
To determine the relative contributions of handgrip and individual finger strength for the prediction of climbing performance in a bouldering competition. A secondary aim was to examine the influence of body size, bouldering experience, and training habits.
Sixty-seven boulderers (mean [SD], age = 21.1 [4.0] y; body mass = 69.5 [9.8] kg) volunteered for this study. Data collection occurred immediately before an indoor bouldering competition and involved the assessment of handgrip and individual finger maximal force production using an electronic handheld dynamometer. The bouldering competition consisted of 70 routes graded V0 to V8, with higher point values awarded for completing more difficult routes. Stepwise multiple regression analysis was used to examine the relative contributions of handgrip and individual finger strengths, body mass, height, bouldering experience, and bouldering frequency to the prediction of performance scores in the competition.
Ring finger pinch strength, bouldering experience, and bouldering frequency significantly (P < .05) contributed to the model (R2 = .373), whereas body mass; height; full handgrip strength, as well as index, middle, and little finger pinch strengths did not. The β weights showed that ring finger pinch strength (β = .430) was the most significant contributor, followed by bouldering experience (β = .331) and bouldering frequency (β = .244).
The current findings indicated that trainable factors contributed to the prediction of bouldering performance. These results suggest greater bouldering frequency and experience likely contribute to greater isolated individual finger strength, thereby optimizing preparation for the diverse handholds in competitive rock climbing.
确定握力和单个手指力量对攀岩比赛攀爬表现的预测的相对贡献。次要目的是检查身体大小、抱石经验和训练习惯的影响。
67 名抱石者(平均[SD],年龄=21.1[4.0]岁;体重=69.5[9.8]kg)自愿参加了这项研究。数据采集在室内抱石比赛前进行,涉及使用电子手持测力计评估握力和单个手指最大力量的产生。抱石比赛由 70 条路线组成,等级从 V0 到 V8,完成更难的路线会获得更高的分数。逐步多元回归分析用于检查握力和单个手指力量、体重、身高、抱石经验和抱石频率对比赛中表现得分的预测的相对贡献。
环指捏力、抱石经验和抱石频率显著(P<.05)对模型做出贡献(R2=.373),而体重、身高、全手握力以及食指、中指和小指捏力则没有。β权重显示环指捏力(β=.430)是最显著的贡献者,其次是抱石经验(β=.331)和抱石频率(β=.244)。
目前的研究结果表明,可训练的因素有助于预测抱石表现。这些结果表明,更高的抱石频率和经验可能会导致更大的单个手指力量,从而优化在竞技攀岩中对各种手握的准备。