Department of exercise physiology, Faculty of Physical Education, Tehran, Iran ; Secretary of Talent Identification Committee of Handball Federation I.R.Iran.
J Hum Kinet. 2011 Sep;29:151-9. doi: 10.2478/v10078-011-0049-2. Epub 2011 Oct 4.
It has been suggested that athletes with longer fingers and larger hand surfaces enjoy stronger grip power. Therefore, some researchers have examined a number of factors and anthropometric variables that explain this issue. To our knowledge, the data is scarce. Thus, the aim of this study was to investigate the effect of hand dimensions, hand shape and some anthropometric characteristics on handgrip strength in male grip athletes and non-athletes. 80 subjects aged between 19 and 29 participated in this study in two groups including: national and collegian grip athletes (n=40), and non-athletes (n=40). Body height and mass were measured to calculate body mass index. The shape of the dominant hand was drawn on a piece of paper with a thin marker so that finger spans, finger lengths, and perimeters of the hand could be measured. The hand shape was estimated as the ratio of the hand width to hand length. Handgrip strength was measured in the dominant and non-dominant hand using a standard dynamometer. Descriptive statistics were used for each variable and independent t test was used to analyze the differences between the two groups. The Pearson correlation coefficient test was used to evaluate the correlation between studied variables. Also, to predict important variables in handgrip strength, the linear trend was assessed using a linear regression analysis. There was a significant difference between the two groups in absolute handgrip strength (p<0.001) and handgrip/height ratio (p<0.001). The indices of body height, body mass, lean body mass and body fat content (p<0.001) were significantly greater in grip athletes. All hand variables except FS1-4 (p>0.05) were significantly different between the groups (p<0.001). After controlling body mass all hand anthropometric characteristics except thumb length (r=0.240, p= 0.135), hand shape (r=-0.029, p=0.858), middle finger length (r=0.305, p=0.056) and forearm circumference (r=0.162, p=0.319) significantly correlated with handgrip strength in grip athletes, but not in non-athletes, except for forearm circumference (r=0.406, p=0.010). The results showed that handgrip strength and some of the hand dimensions may be different in athletes who have handgrip movements with an object or opponent in comparison to non-athletes. Also, there was a significant positive correlation between handgrip strength and most of the hand dimensions in grip athletes. Therefore, these can be used in talent identification in handgrip-related sports and in clinical settings as well.
有人认为,手指较长和手掌较大的运动员握力更强。因此,一些研究人员已经研究了许多因素和人体测量变量,以解释这个问题。据我们所知,相关数据还很有限。因此,本研究的目的是调查手的尺寸、手的形状和一些人体测量特征对手部握力的影响在男性握力运动员和非运动员中。 80 名年龄在 19 至 29 岁之间的受试者参加了这项研究,分为两组:国家和大学生握力运动员(n=40)和非运动员(n=40)。测量身高和体重以计算体重指数。用细记号笔在手纸上画出优势手的形状,以便测量指距、手指长度和手掌周长。手的形状用手宽与手长的比值来估计。使用标准测力计测量优势手和非优势手的握力。对每个变量进行描述性统计,使用独立 t 检验分析两组之间的差异。使用 Pearson 相关系数检验评估研究变量之间的相关性。此外,为了预测手部握力的重要变量,使用线性回归分析评估线性趋势。两组在绝对手部握力(p<0.001)和手部握力/身高比(p<0.001)方面存在显著差异。握力运动员的身体高度、体重、瘦体重和体脂含量指数(p<0.001)显著更高。除 FS1-4(p>0.05)外,两组之间所有手部变量均有显著差异(p<0.001)。在控制体重后,除拇指长度(r=0.240,p=0.135)、手形(r=-0.029,p=0.858)、中指长度(r=0.305,p=0.056)和前臂周长(r=0.162,p=0.319)外,所有手部人体测量特征均与握力运动员的手部握力显著相关,但非运动员则不然,除了前臂周长(r=0.406,p=0.010)。结果表明,与非运动员相比,具有对象或对手握力动作的运动员的握力和一些手部尺寸可能有所不同。此外,握力运动员的手部握力与大多数手部尺寸之间存在显著正相关。因此,这些可以在手部相关运动的人才识别和临床环境中使用。