The purpose of the present study to examine the relationship of agility and speed ability with selected anthropometric variables of male football players. For the purpose of the present study 30 male football players were randomly selected from Guru Ghasidas Vishwavidyalaya, Bilaspur (C.G.) and those players who represented this Vishwavidyalaya at inter university tournament. The age group of the subjects was ranged from 21-28 years. The data was collected through applying the tests: 10x4 meter shuttle run test for agility ability, 50 meter dash run test for speed ability and selected anthropometric variables: body weight, standing height, leg length, thigh girth and calf girth. For the relationship of agility and speed ability with selected anthropometric variables mean and standard deviation were used as descriptive statistics and Pearson Product Moment coefficient test were applied at 0.05 level of significant. All statistical analysis was done using MS Excel and SPSS version 16.0. The result of the present study showed that there was Significant relationship found in selected anthropometric variables (height-r=.384, p<0.05; weight-r=.451, p<0.05; and leg length-r=.371, p<0.05) and insignificant relationship found in thigh girth (r=.332) and calf girth (.353) of Guru Ghasidas Vishwavidyalaya, Bilaspur (C.G) in relation to agility ability. There was significant relationship found in selected anthropometric variables (height-r=.365, p<0.05; weight-r=.378, p<0.05; leg length-r=.392, p<0.05; and thigh girth-r=.370, p<0.05) and insignificant relationship found in calf girth (r=.231) of Guru Ghasidas Vishwavidyalaya, Bilaspur (C.G) in relation to speed ability.

Several studies have investigated the association between strength and speed, showing that stronger athletes perform better during sprint performances (Baker & Nance, 1999). Moreover, the aim of this study was to evaluate the correlation between sprint performance and anthropometric parameters. Subjects were 32 youth soccer players. The age of participants was 15.1±0.3 years. Speed time (50 m sprint) was evaluated during sprint test, and anthropometric parameters were measured (weight, height, percent body fat). Correlation analysis (Pearson test) was performed to evaluate the correlation between speed and anthropometrics. Results showed correlation between body weight and speed (r=-0.041 Sig=0.834); BMI values and speed (r=0.231; Sig=0.236), body height and speed (r=-0.384; Sig=0.044); percent body fat and speed (r=0.440; Sig=0.019).In conclusion, the results of this study show no significance association between body weight and BMI with sprint performance and significance correlat...

The main purpose of this study was to examine the relationship between speed, lower extremities explosive power, simple, and complex responses in adolescent athletes from various disciplines. Thirty nine athletes of 16.5 years old, N = 13 sprinters and jumpers, N = 13 soccer players, and N = 13 judokas participated in the experiment. Pearson correlations, a one-way ANOVA and an independent t-test for establishing differences between those three groups of athletes was applied. Additionally the Ward method of hierarchical cluster analysis also was applied. The strong correlation occurred between complex responses and speed; 20 m from standing and 20 m flying start (r = 0.62 and r = 0.65 respectively). In other cases, no strong association was found. The substantial differences between groups occurred in the 20 m run from flying start (t = 5.92) and standing triple jump (t = 4.16). The study indicates that adolescent athletes may need to be assessed differently to a certain extent, inc...

The aim of this study is to determine body composition (BC) factors that influence agility among adolescent soccer players (N=66), in U14, U16, U18 soccer teams of the Topola Sport Club. Agility tests (Dribbling test, Illinois test), Inbody 720 instrument measuring the BC, and Oxa Starter infrared timing gate instrument measuring speed the agility were used. Data are processed by the IBM SPSS Statistics 25 software. In addition to descriptive statistics, a correlation matrix analysis, linear regression and one-way analysis of variance (ANOVA) were also applied (p&lt;0.05). A moderate correlation between agility with a ball and without a ball (r=0.595) is determined as well as between agility and BC parameters: Skeletal Muscle Mass, Intracellular Water Mass, Protein Mass, Mineral Mass (r=-0.453, -0.454, -0.453, -0.417, respectively) while the correlation between agility and Height, Mass, Body Mass Index, Right Leg Lean Mass, Left Leg Lean Mass, Extracellular Water Mass is less than m...

The aim of this research is the influence of anthropometric variables on successful realization of agility tests to 14-15 years of basketball players. In this research are tested 84 basketball players of 7 active cadet equips (groups)-males. Through the regressive analysis procedure where are foreseen 11 predictor anthropometric variables, while 2 agility test criteria. The results that are presented in the basic parameters show that anthropometric variables and agility tests have shown homogeneous distribution. Results of regression analysis variables body height, leg length and thigh circumference have a low impact with agility tests, while other anthropomorphic variables did not affect agility tests.

Introduction: Vertical Jump (VJ) is a good measure of athletic performance and occupational activities. Earlier studies reported conflicting results on anthropometric influence. Aim: To evaluate the relationship between anthropometric characteristics and VJ in national level hockey and cycling players. Materials and Methods: Fifty four (32 males) national level hockey and cycling players of 11-21 years were the volunteers. Following standard protocols, these variables were measured: VJ, Weight (WT), Height (HT), Trochanterion-Height (TH), Sum of Skinfold Thickness (SSF), Lengths [Acromiale-Stylion (AS) and Midstylion-Dactylion (SD)], Breadths [Biacromial (AB), Biiliocristal (IB), Biepicondylar Humerus (HB) and Biepicondylar Femur (FB)], Girths [Relaxed Arm (AG), Mid Thigh (TG) and Calf (CG)], Lower Back and Hamstring Flexibility (SR), Grip [Left Hand Grip (LHG) and Right Hand Grip (RHG)] and Back Strength (BS). International Society for the Advancement of Kinanthropometry (ISAK) procedures were followed for anthropometric variables measurement. Unpaired-'t'-test was used for comparison between genders. Pearson’s correlation and multiple regression analysis were used to evaluate correlates and predictors of VJ respectively. Results: Males had significantly higher VJ, HT, SD, AB and BS; but lower SSF, AS and TG. VJ correlated positively with age, WT, HT, SD, TH, girths, SR and strength among males; but only with WT and LHG among females. After controlling gender, TH and LHG predicted VJ significantly with 69% of total variance. HT, SSF and BS; and LHG were the significant predictors among males and females respectively. Conclusion: Anthropometric and physiological variables like TH, grip, HT, skinfold and BS had major influence on VJ. The result might help in training-monitoring and player’s selection.