Relationship Between Physical Fitness Variables and Playing Ability Among Handball Players in Senior High Schools in Central Region, Ghana

Daniel Apaak; Stephen Anim; Richmond Stephen Sorkpor

doi:doi:10.11648/j.ijsspe.20210604.14

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Relationship Between Physical Fitness Variables and Playing Ability Among Handball Players in Senior High Schools in Central Region, Ghana

Daniel Apaak, Stephen Anim, Richmond Stephen Sorkpor

Published in International Journal of Sports Science and Physical Education (Volume 6, Issue 4)

Received: 5 November 2021 Accepted: 26 November 2021 Published: 2 December 2021

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Abstract

The purpose of the study was to investigate the relationship between physical fitness variables and playing ability of male handball players in Senior High Schools in the Central Region of Ghana. The population consisted of 960 male handball players in five zones from 64 Senior High Schools in Central Region. Out of this, 156 of the players were purposively sampled for the study. The ages of participants ranged between 15 and 22 years. Data was collected on physical fitness variables and handball playing ability. Mean and standard deviations were calculated for each of the selected variables and compared with normative data. The inter-relationship among the selected physical fitness variables and handball playing ability were calculated using Pearson product-moment correlation. Stepwise method of multiple regression was used to find out which predictor variables had the highest correlation with the criterion variables. The results revealed that physical fitness variables (speed, arm strength, leg strength, flexibility, agility, cardiovascular endurance) had significant relationships with playing ability of handball players in Schools and Colleges in the Central Region of Ghana at p < 0.05. It is therefore recommended that coaches or trainers use data on physical fitness and handball playing ability as criteria for selecting players at the SHS level into their handball teams and also develop their training programmes by emphasising on related physical fitness variables to improve playing performance in handball at the SHS level.

Published in	International Journal of Sports Science and Physical Education (Volume 6, Issue 4)
DOI	10.11648/j.ijsspe.20210604.14
Page(s)	80-86
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Speed, Strength, Flexibility, Agility, Cardiovascular Endurance, Physical Fitness

References

[1]	Ali, Z., & Bhaskar, S. B. (2016). Basic statistical tools in research and data analysis. Indian journal of anaesthesia, 60 (9), 662.
[2]	Bakinde, S. T., Olaitan, O. L., Talabi, A. E., Oyerinde, O. O., & Aina, G. M. (2015). Anthropometry and motor performance variables among male university champion- handballers in West Africa. International Journal of Multi-Disciplinary Studies and Sport Research (IJMSRE), 4 (2), 633-644.
[3]	Baumgartner, M. F., Cole, T. V., Campbell, R. G., Teegarden, G. J., & Durbin, E. G. (2003). Associations between North Atlantic right whales and their prey, Calanus finmarchicus, over diel and tidal time scales. Marine Ecology Progress Series, 264, 155-166.
[4]	Brauer, M., & Curtin, J. J. (2018). Linear mixed-effects models and the analysis of nonindependent data: A unified framework to analyze categorical and continuous independent variables that vary within-subjects and/or within-items. Psychological Methods, 23 (3), 389.
[5]	Brown, L., & Ferrigno, V. (Eds.). (2014). Training for speed, agility and quickness (3^th ed.). Champaign: Human Kinetics.
[6]	Čavala, M., & Katić, R. (2010). Morphological, motor and situation-motor characteristics of elite female handball players according to playing performance and position. Collegium Antropologicum, 34 (4), 1355-1361.
[7]	Chaouachi, A., Brughelli, M., Chamari, K., Levin, G. T., Abdelkrim, N. B., Laurencelle, L., & Castagna, C. (2009). Lower limb maximal dynamic strength and agility determinants in elite basketball players. The Journal of Strength & Conditioning Research, 23 (5), 1570-1577.
[8]	Chauhan, M. S. (2003). Prediction of sprinting ability of Haryana school boys in relation to their anthropometric measurements. Journal of sports & Sports Science, NSNIS, Patiala, 26 (1), 22-76.
[9]	Chuhan, M. S., & Tanwar, B. (2012). Selected kinanthropometric characteristics with accuracy performance of handball players. International Journal of Social Science & Interdisciplinary Research, 1 (12), 204-215.
[10]	Civar, Y. S. (2012). Examination of characteristics of anthropometric and physical fitness of the handball players. World Applied Sciences Journal, 16 (4), 501 507.
[11]	Devaraju, K., & Needhiraja, A. (2012). Prediction of playing ability in kabaddi from selected anthropometrical, physical, physiological and psychological variables among college level players. International Journal of Management, 3 (2), 150-157.
[12]	Dominic, O. L. (2014). Correlation of muscular and cardio respiratory endurance of the University of Ilorin basketball and handball players. West African Journal of Physical and Health Education (WAJOPHE), 8, 160 – 169.
[13]	Fraenkel, J. R., & Wallen, N. E. (2000). How to design and evaluate research in education (2^nd ed.). Boston: McGraw-Hill Inc.
[14]	Gaurav, V., & Singh, A. (2014). Study of physical characteristics of Indian handball players at different levels of competition. Turkish Journal of Sport and Exercise, 16 (3), 17-19.
[15]	Gill, A. S. (2014). Role and contribution of anthropometric variables to handball playing ability. A Bi-Annual International Research Journal, 1 (2), 211-218.
[16]	Gopinathan, P. (2006). Appraisal of selected anthropometric, physical and physiological variables as prerequisites for Handball performance. Unpublished Master thesis. University of Madras. Chennai.
[17]	Gopinathan, P., & Helina, G. (2009). Correlation of selected anthropometric and physical fitness variables to handball performance. Journal of Sports and Sports Sciences, NSNIS, Patiala, 32 (1), 40-45.
[18]	Hasan, A., A., A., Rahaman, J., A., Cable, N., T., & Reilly, T. (2007). Anthropometric profile of elite male handball players in Asia. Biology of Sport, 24 (1), 3-12.
[19]	Haugen, T. A., Tønnessen, E., & Seiler, S. (2016). Physical and physiological characteristics of male handball players: influence of playing position and competitive level. The Journal of Sports Medicine and Physical Fitness, 56 (1-2), 19-26.
[20]	Ingebrigtsen, J., Jeffreys, I., & Rodahl, S. (2013). Physical characteristics and abilities of junior elite male and female handball players. The Journal of Strength and Conditioning Research, 27 (2), 302-309.
[21]	International Handball Federation. (2015). Membership federation. Retrieved on 11^th February, 2021 from http://www.ihf.info/en us/theihf/memberfederations.aspx
[22]	Kalidasan, R. (2011). Prediction of handle playing ability from selected anthropometrical, physical, physiological and psychological variables among college level players. Tiruchirappalli, Bharathidasan: Publication Division, 232 237.
[23]	Kangane, S. E. (2007). Handball. Pune, India: Diamond Publication.
[24]	Masanovic, B. (2018). Comparative study of anthropometric measurement and body composition between junior basketball and volleyball players from Serbian national league. Sport Mont, 16 (3), 19-24.
[25]	Masanovic, B., Milosevic, Z., & Corluka, M. (2018). Comparative study of anthropometric measurement and body composition between junior handball and volleyball players from Serbian National League. International Journal of Applied Exercise Physiology, 7 (4), 1-6.
[26]	Massuca, L., Branco, B., Miarka, B., & Fragoso, I. (2015). Physical fitness attributes of team-handball players are related to playing position and performance level. Asian journal of sports medicine, 6 (1).
[27]	Michalsik, L. B., Madsen, K., & Aagaard, P. (2015). Technical match characteristics and influence of body anthropometry on playing performance in male elite team handball. The Journal of Strength and Conditioning Research, 29 (2), 416-428.
[28]	Mohammed, H., Vaeyens, R., Matthys, S., Multael, M., Lefevre, J., Lenoir, M., & Philippaerts, R. (2009). Anthropometric and performance measures for the development of a talent detection and identification model in youth handball. Journal of Sports Sciences, 27 (3), 257-266.
[29]	Monica, P. I., & Liliana-Elisabeta, R. (2014). Anthropometrics and physical fitness differences between novice handball players and sedentary girls. Gymnasium, 15 (1), 90- 103.
[30]	Natarajan, P. (2012). Prediction of playing ability in handball from selected anthropometrical physical physiological psychological and performance variables among inter university level men handball players. Doctoral dissertation, Tamil Nadu Physical Education and Sports University, Chennai. Retrieved from http://shodhganga.inflibnet.ac.in/bitstream/ 10603/3336/1/01_title.pdf
[31]	Needhiraja, A. (2011). Prediction of playing ability from selected anthropometric characteristics of elite Indian handball players: Emerging trends in physical education and sports sciences. Bharathidasan University, Tiruchirappalli: Publication Division, pp. 305-309.
[32]	Needhiraja, A., & Kalidasan, R. (2010). Position-wise anthropometric profile of handball players. Journal of Teacher Education and Research, Ram-Eesh lnstitude of Education, 51, 73-80.
[33]	Padamraj, P. U. (2012). Development of norms for selection of senior male Maharashtra state handball players. Unpublished Dissertation. Savitribai Phule Pune University. Retrieved from: http://hdl.handle.net/10603/81244
[34]	Padilla, C. J., Ferreyro, F. A., & Arnold, W. D. (2021). Anthropometry as a readily accessible health assessment of older adults. Experimental Gerontology, 111464.
[35]	Rannou, F., Prioux, J., Zouhal, H., Gratas Delamarche, A., & Delamarche, P. (2001). Physiological profile of handball players. Journal of Sports Medicine and Physical Fitness, 41 (3), 349-353.
[36]	Rousanoglou, E. N., Noutsos, K. S., & Bayios, I. A. (2014). Playing level and playing position differences of anthropometric and physical fitness characteristics in elite junior handball players. The Journal of Sports Medicine and Physical Fitness, 54 (5), 611- 621.
[37]	Singh, A., & Gaurav, V. (2014). Study of physical characteristics of Indian handball players at different level of competition. Turkish Journal of Sport and Exercise, 16 (3), 17-19.
[38]	Singh, J., Kumar, R., & Singh, K. (2009). Construction and Standardization of Specific Skill Test Battery for Male Handball Players. Journal of Sports and Sports Sciences, NSNIS, Patiala, 32 (1), 73-82.
[39]	Singh, K. (2015). Strength and anthropometric measurement: prediction of ball passing and throwing skill efficiency in handball players. International Journal of Health, Sports and Physical Education, 3 (2), 20-24.
[40]	Singh, K., & Ram, M. (2013). Prediction of handball players playing ability on the basis of their anthropometric measurements and physical fitness components. International Journal of Innovative Research and Development, 2 (7), 151-155.
[41]	Singh, P. (2014) Anthropometric variables and handball performance. International Journal of Research Pedagogy and Technology in Education and Movement Sciences, 2 (4), 47-54.
[42]	Visnapuu, M., & Jürimäe, T. (2007). Handgrip strength and hand dimensions in young handball and basketball players. The Journal of Strength and Conditioning Research, 21 (3), 923-929.
[43]	Visnapuu, M., & Jürimäe, T. (2008). The influence of basic body and hand anthropometry on the results of different throwing tests in young handball and basketball players. Anthropologischer Anzeiger, 66 (2), 225-236. Retrieved from: https://www.jstor.org/stable/29542948
[44]	Vuleta jr, D. (2013). Influence of anthropometric measures on throwing power. Acta Kinesiologica, 7 (2), 16-20.

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APA Style

Daniel Apaak, Stephen Anim, Richmond Stephen Sorkpor. (2021). Relationship Between Physical Fitness Variables and Playing Ability Among Handball Players in Senior High Schools in Central Region, Ghana. International Journal of Sports Science and Physical Education, 6(4), 80-86. https://doi.org/10.11648/j.ijsspe.20210604.14

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ACS Style

Daniel Apaak; Stephen Anim; Richmond Stephen Sorkpor. Relationship Between Physical Fitness Variables and Playing Ability Among Handball Players in Senior High Schools in Central Region, Ghana. Int. J. Sports Sci. Phys. Educ. 2021, 6(4), 80-86. doi: 10.11648/j.ijsspe.20210604.14

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AMA Style

Daniel Apaak, Stephen Anim, Richmond Stephen Sorkpor. Relationship Between Physical Fitness Variables and Playing Ability Among Handball Players in Senior High Schools in Central Region, Ghana. Int J Sports Sci Phys Educ. 2021;6(4):80-86. doi: 10.11648/j.ijsspe.20210604.14

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@article{10.11648/j.ijsspe.20210604.14,
  author = {Daniel Apaak and Stephen Anim and Richmond Stephen Sorkpor},
  title = {Relationship Between Physical Fitness Variables and Playing Ability Among Handball Players in Senior High Schools in Central Region, Ghana},
  journal = {International Journal of Sports Science and Physical Education},
  volume = {6},
  number = {4},
  pages = {80-86},
  doi = {10.11648/j.ijsspe.20210604.14},
  url = {https://doi.org/10.11648/j.ijsspe.20210604.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsspe.20210604.14},
  abstract = {The purpose of the study was to investigate the relationship between physical fitness variables and playing ability of male handball players in Senior High Schools in the Central Region of Ghana. The population consisted of 960 male handball players in five zones from 64 Senior High Schools in Central Region. Out of this, 156 of the players were purposively sampled for the study. The ages of participants ranged between 15 and 22 years. Data was collected on physical fitness variables and handball playing ability. Mean and standard deviations were calculated for each of the selected variables and compared with normative data. The inter-relationship among the selected physical fitness variables and handball playing ability were calculated using Pearson product-moment correlation. Stepwise method of multiple regression was used to find out which predictor variables had the highest correlation with the criterion variables. The results revealed that physical fitness variables (speed, arm strength, leg strength, flexibility, agility, cardiovascular endurance) had significant relationships with playing ability of handball players in Schools and Colleges in the Central Region of Ghana at p < 0.05. It is therefore recommended that coaches or trainers use data on physical fitness and handball playing ability as criteria for selecting players at the SHS level into their handball teams and also develop their training programmes by emphasising on related physical fitness variables to improve playing performance in handball at the SHS level.},
 year = {2021}
}

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TY  - JOUR
T1  - Relationship Between Physical Fitness Variables and Playing Ability Among Handball Players in Senior High Schools in Central Region, Ghana
AU  - Daniel Apaak
AU  - Stephen Anim
AU  - Richmond Stephen Sorkpor
Y1  - 2021/12/02
PY  - 2021
N1  - https://doi.org/10.11648/j.ijsspe.20210604.14
DO  - 10.11648/j.ijsspe.20210604.14
T2  - International Journal of Sports Science and Physical Education
JF  - International Journal of Sports Science and Physical Education
JO  - International Journal of Sports Science and Physical Education
SP  - 80
EP  - 86
PB  - Science Publishing Group
SN  - 2575-1611
UR  - https://doi.org/10.11648/j.ijsspe.20210604.14
AB  - The purpose of the study was to investigate the relationship between physical fitness variables and playing ability of male handball players in Senior High Schools in the Central Region of Ghana. The population consisted of 960 male handball players in five zones from 64 Senior High Schools in Central Region. Out of this, 156 of the players were purposively sampled for the study. The ages of participants ranged between 15 and 22 years. Data was collected on physical fitness variables and handball playing ability. Mean and standard deviations were calculated for each of the selected variables and compared with normative data. The inter-relationship among the selected physical fitness variables and handball playing ability were calculated using Pearson product-moment correlation. Stepwise method of multiple regression was used to find out which predictor variables had the highest correlation with the criterion variables. The results revealed that physical fitness variables (speed, arm strength, leg strength, flexibility, agility, cardiovascular endurance) had significant relationships with playing ability of handball players in Schools and Colleges in the Central Region of Ghana at p < 0.05. It is therefore recommended that coaches or trainers use data on physical fitness and handball playing ability as criteria for selecting players at the SHS level into their handball teams and also develop their training programmes by emphasising on related physical fitness variables to improve playing performance in handball at the SHS level.
VL  - 6
IS  - 4
ER  -

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Author Information

Daniel Apaak

Department of Health, Physical Education and Recreation, University of Cape Coast, Cape Coast, Ghana
Stephen Anim

Department of Science, Moree Senior High School, Moree, Ghana
Richmond Stephen Sorkpor

Department of Health, Physical Education, Recreation and Sports, University of Education, Winneba, Ghana

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APA Style

Daniel Apaak, Stephen Anim, Richmond Stephen Sorkpor. (2021). Relationship Between Physical Fitness Variables and Playing Ability Among Handball Players in Senior High Schools in Central Region, Ghana. International Journal of Sports Science and Physical Education, 6(4), 80-86. https://doi.org/10.11648/j.ijsspe.20210604.14

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ACS Style

Daniel Apaak; Stephen Anim; Richmond Stephen Sorkpor. Relationship Between Physical Fitness Variables and Playing Ability Among Handball Players in Senior High Schools in Central Region, Ghana. Int. J. Sports Sci. Phys. Educ. 2021, 6(4), 80-86. doi: 10.11648/j.ijsspe.20210604.14

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AMA Style

Daniel Apaak, Stephen Anim, Richmond Stephen Sorkpor. Relationship Between Physical Fitness Variables and Playing Ability Among Handball Players in Senior High Schools in Central Region, Ghana. Int J Sports Sci Phys Educ. 2021;6(4):80-86. doi: 10.11648/j.ijsspe.20210604.14

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@article{10.11648/j.ijsspe.20210604.14,
  author = {Daniel Apaak and Stephen Anim and Richmond Stephen Sorkpor},
  title = {Relationship Between Physical Fitness Variables and Playing Ability Among Handball Players in Senior High Schools in Central Region, Ghana},
  journal = {International Journal of Sports Science and Physical Education},
  volume = {6},
  number = {4},
  pages = {80-86},
  doi = {10.11648/j.ijsspe.20210604.14},
  url = {https://doi.org/10.11648/j.ijsspe.20210604.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsspe.20210604.14},
  abstract = {The purpose of the study was to investigate the relationship between physical fitness variables and playing ability of male handball players in Senior High Schools in the Central Region of Ghana. The population consisted of 960 male handball players in five zones from 64 Senior High Schools in Central Region. Out of this, 156 of the players were purposively sampled for the study. The ages of participants ranged between 15 and 22 years. Data was collected on physical fitness variables and handball playing ability. Mean and standard deviations were calculated for each of the selected variables and compared with normative data. The inter-relationship among the selected physical fitness variables and handball playing ability were calculated using Pearson product-moment correlation. Stepwise method of multiple regression was used to find out which predictor variables had the highest correlation with the criterion variables. The results revealed that physical fitness variables (speed, arm strength, leg strength, flexibility, agility, cardiovascular endurance) had significant relationships with playing ability of handball players in Schools and Colleges in the Central Region of Ghana at p < 0.05. It is therefore recommended that coaches or trainers use data on physical fitness and handball playing ability as criteria for selecting players at the SHS level into their handball teams and also develop their training programmes by emphasising on related physical fitness variables to improve playing performance in handball at the SHS level.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Relationship Between Physical Fitness Variables and Playing Ability Among Handball Players in Senior High Schools in Central Region, Ghana
AU  - Daniel Apaak
AU  - Stephen Anim
AU  - Richmond Stephen Sorkpor
Y1  - 2021/12/02
PY  - 2021
N1  - https://doi.org/10.11648/j.ijsspe.20210604.14
DO  - 10.11648/j.ijsspe.20210604.14
T2  - International Journal of Sports Science and Physical Education
JF  - International Journal of Sports Science and Physical Education
JO  - International Journal of Sports Science and Physical Education
SP  - 80
EP  - 86
PB  - Science Publishing Group
SN  - 2575-1611
UR  - https://doi.org/10.11648/j.ijsspe.20210604.14
AB  - The purpose of the study was to investigate the relationship between physical fitness variables and playing ability of male handball players in Senior High Schools in the Central Region of Ghana. The population consisted of 960 male handball players in five zones from 64 Senior High Schools in Central Region. Out of this, 156 of the players were purposively sampled for the study. The ages of participants ranged between 15 and 22 years. Data was collected on physical fitness variables and handball playing ability. Mean and standard deviations were calculated for each of the selected variables and compared with normative data. The inter-relationship among the selected physical fitness variables and handball playing ability were calculated using Pearson product-moment correlation. Stepwise method of multiple regression was used to find out which predictor variables had the highest correlation with the criterion variables. The results revealed that physical fitness variables (speed, arm strength, leg strength, flexibility, agility, cardiovascular endurance) had significant relationships with playing ability of handball players in Schools and Colleges in the Central Region of Ghana at p < 0.05. It is therefore recommended that coaches or trainers use data on physical fitness and handball playing ability as criteria for selecting players at the SHS level into their handball teams and also develop their training programmes by emphasising on related physical fitness variables to improve playing performance in handball at the SHS level.
VL  - 6
IS  - 4
ER  -

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