Correlations of Anthropometric Measurement and Handgrip Strength between Collegiate Cricket Fast and Spin Bowlers

A. Shanbhag, Neeraj Kumar
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Abstract

Background: More dimensions in anthropometric variables and dominance of the hand aid in bowler’ssuccess and is easier for coaches/teams to pick and hire on the basis of fast and spin bowlers. Little isknown to date on the relationship between anthropometric measures and handgrip power in collegiatebowlers. Present study is an attempt to quantify the handgrip power of collegiate male cricketers, andto explore its correlations with some selected anthropometric variables.Methods: Forty fast and 37 spin bowlers, aged between 20-25 years (mean age= 22.7±1.2 years) wereselected from match practice group of different colleges in Rahata taluka, Maharashtra. Body heightand mass were measured to calculate body mass index. Handgrip strength was measured with standarddynamometer. Statistical analysis was carried out for each variable and independent t-test was used toanalyze differences between the two groups. Pearson’s correlation coefficient test was done to obtainrelationship between handgrip strength and selected anthropomorphic variables. The significance wasset at 0.05.Conclusion: Anthropometric variables were directly related to handgrip strength among bowlers inthis study. Forearm lengths of spinners were longer than fast bowlers. Handgrip strength was more indominant hand and spinners had more handgrip strength than fast bowlers. These parameters will helpin future for talent identification in handgrip-related sports and/or clinical settings.
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大学板球快速投球手和旋转投球手的人体测量与握力的相关性
背景:更多的人体测量变量和手部优势有助于投球手的成功,教练/团队更容易根据快速和旋转的投球手来挑选和雇用。迄今为止,人们对大学保龄球运动员的人体测量指标和握力之间的关系知之甚少。本研究试图量化大学男子板球运动员的握力,并探讨其与一些选定的人体测量变量的相关性。方法:从印度马哈拉施特拉邦拉哈塔塔鲁卡不同院校的比赛训练组中挑选40名快速投球运动员和37名旋转投球运动员,年龄在20 ~ 25岁之间,平均年龄为22.7±1.2岁。测量身高和体重,计算体重指数。用标准测力仪测定握力。对各变量进行统计分析,采用独立t检验分析两组间差异。通过Pearson相关系数检验,得到了手握力与拟人变量之间的关系。显著性为0.05。结论:本研究中人体测量变量与投球手握力有直接关系。旋转运动员的前臂长度比快速保龄球运动员长。手握力量更弱,旋转手比快速投球手有更多的手握力量。这些参数将有助于未来在与握力相关的运动和/或临床环境中识别人才。
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