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Kinanthropometric Profile As A Predictor Of Basketball Players Strength Measures


 

The purpose of the present study was to endeavour the relationship between kinanthropometric dimensions with strength measure and further, to develop the regression equation for the prediction of Basketball players strength measure. The research was conducted on University level 42 male basketball players of age ranges 18-25 years. Twenty six kinanthropometric measurements as independent variables and two strength measurement components as dependent variables were evaluated of each subject. SPSS (11.5) computer software was used to analyze the data and it explored that the weight and linear measurements, i.e., body weight, standing height, sitting height, trunk length, arm length, leg length and hand length; body diameters, i.e., elbow, hip and knee diameters; body girth, i.e., shoulder and hip girths ; skin-fold measurements, i.e., biceps, sub-scapular, thigh and calf skin-folds and body composition variables i.e., fat percent, fat weight and lean body mass have significant correlations with strength measures of basketball players. The multiple correlation of six kinanthropometric variables taken together with strength measures of basketball players has been found highly significant and hence the developed equation can be used in the prediction of strength measures of basketball players. 


Keywords

Strength measure, Kinanthropometric profile and Basketball players
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  • Kinanthropometric Profile As A Predictor Of Basketball Players Strength Measures

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Abstract


The purpose of the present study was to endeavour the relationship between kinanthropometric dimensions with strength measure and further, to develop the regression equation for the prediction of Basketball players strength measure. The research was conducted on University level 42 male basketball players of age ranges 18-25 years. Twenty six kinanthropometric measurements as independent variables and two strength measurement components as dependent variables were evaluated of each subject. SPSS (11.5) computer software was used to analyze the data and it explored that the weight and linear measurements, i.e., body weight, standing height, sitting height, trunk length, arm length, leg length and hand length; body diameters, i.e., elbow, hip and knee diameters; body girth, i.e., shoulder and hip girths ; skin-fold measurements, i.e., biceps, sub-scapular, thigh and calf skin-folds and body composition variables i.e., fat percent, fat weight and lean body mass have significant correlations with strength measures of basketball players. The multiple correlation of six kinanthropometric variables taken together with strength measures of basketball players has been found highly significant and hence the developed equation can be used in the prediction of strength measures of basketball players. 


Keywords


Strength measure, Kinanthropometric profile and Basketball players