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Ann Appl Sport Sci 2020, 8(1): 0-0 |
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Uzomba G C, Oladipo G S, Anugweje K C, Ogugua E A. The Regression Modelling of Kinanthropometric and Kinematic Variables in Relation to Ball Velocity of Nigerian Female Tennis Players. Ann Appl Sport Sci 2020; 8 (1)
URL: http://aassjournal.com/article-1-758-en.html
URL: http://aassjournal.com/article-1-758-en.html
1- Department of Anatomy, Faculty of Basic Medical Sciences, Alex Ekwueme Federal University, Ndufu-Alike, Ikwo, Ebonyi State, Nigeria , uzombagodwinchinedu@yahoo.com
2- Department of Anatomy, Faculty of Basic Medical Sciences, College of Health Sciences, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria
3- Institute of Sports Science, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria
4- Department of Anatomy, Faculty of Basic Medical Sciences, Alex Ekwueme Federal University, Ndufu-Alike, Ikwo, Ebonyi State, Nigeria
2- Department of Anatomy, Faculty of Basic Medical Sciences, College of Health Sciences, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria
3- Institute of Sports Science, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria
4- Department of Anatomy, Faculty of Basic Medical Sciences, Alex Ekwueme Federal University, Ndufu-Alike, Ikwo, Ebonyi State, Nigeria
Abstract: (3475 Views)
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.
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.
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APPLICABLE REMARKS
APPLICABLE REMARKS
- Relevance of Videographic approach and kinematic software in tracing kinematic angles which were used for the combination of anthropometric variables in improving Nigerian female tennis performance.
- Determination of extent of relationship between kinematic and anthropometric variables of female tennis players using multiple linear regression analysis.
- Determination of extent of relationship between kinematic and anthropometric variables of female tennis players using multiple linear regression analysis.
Type of Study: Original Article |
Subject:
Sport Biomechanics and its related branches
Received: 2019/06/22 | Accepted: 2019/09/22
Received: 2019/06/22 | Accepted: 2019/09/22
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