چکیده:
Background. Kinanthropometric and Kinematic variable are important in the understanding of performance in various sports. These variables have not been explored among Tennis players in Nigeria.
Objectives. An exploration to establish a regression model for kinanthropometric and kinematic variables in relation to ball velocity of Nigerian Female Tennis Players.
Methods. Data were collected through direct standard anthropometric protocol and kinematic videographic technique with four Vicon MX 13 cameras. Subjects for the study were drawn from Nigerian female tennis players who participated in the 14th West African University Games and 19th National Sports Festival. Forty-six (46) of the athletes gave their consent to participate in the study, which took place between October to December, 2018. Data were analyzed using SPSS version 23 to obtain mean, standard deviation, range, Pearson correlation Moment Coefficients and Regression linear analysis which was used to test the hypotheses at 0.05 significant levels.
Results. Results from this study revealed that there was 60% prediction of interactions of the kinanthropometric and kinematic variables to ball velocity. The results further revealed statistically significant difference in the predicted variables (kinanthropometric and kinematic) to ball velocity at p<0.05. The study recommends that during selection processes, coaches should strictly ensure that only athletes with suitable anthropometric features specific for each sport are recruited. Also, the relevant outcome of the analysis should be employed in developing tennis sports as it will contribute to improving performance and increasing accuracy.
Conclusion. Using standard anthropometric protocols and videographic techniques to establish typical performance profile for Nigerian players would ensure a more reasonable assessment of match performances and assist to set practical training and match targets for coaches and athletes.
خلاصه ماشینی:
The Regression Modelling of Kinanthropometric and Kinematic Variables in Relation to Ball Velocity of Nigerian Female Tennis Players 1Godwin Chinedu Uzomba*, 2Gabriel Sunday Oladipo, 3Kenneth C.
An exploration to establish a regression model for kinanthropometric and kinematic variables in relation to ball velocity of Nigerian Female Tennis Players.
Therefore, the study examines the regression analysis of kinanthropometric and kinematic used in ball velocity of Nigeria female tennis players in other to proffer possible tennis serve model that could help in optimal performance both at local and international levels MATERIALS AND METHODS Study Design.
PFTP = ∑f(Age, Body Weight, Height, BIM, Arm Span, Body Fat, Arm Girth, Chest Girth, Hip Girth, Thigh Girth, Wrist Angle, Elbow Angle, V= Time traveled by the ball to the opponent court (sec); (1) Where V= Velocity of the ball (m/s) D = distance of the ball (m) T = Time traveled by the ball to the opponent court (t) Kinematic variables considered in this study were wrist angle, elbow angle, knee angle and ankle angle of female tennis players.
Therefore, to achieve the objective of the study it, examined the kinanthropometric and kinematic variables with the level of performance in Nigerian female tennis players.
We noted from our findings that the height, BMI, arm span, chest girth, wrist angle and elbow angle combined together contributed significantly to the performance of serve ball velocity which is explained that height provides a good elevator for players, it is not perhaps, surprising due to advantage of height and the experience that age would provide in the tennis competition.