CC BY 4.0 · Journal of Health and Allied Sciences NU 2023; 13(04): 535-542
DOI: 10.1055/s-0042-1760438
Original Article

Association of Selected Fitness Variables with Perceived Performance Levels in Lawn Tennis Players

Sukriti Manchanda
1   Department of Physiotherapy, Faculty of Allied Health Sciences, Manav Rachna International Institute and Studies (MRIIRS), Faridabad, Haryana, India
,
Shobhit Saxena
1   Department of Physiotherapy, Faculty of Allied Health Sciences, Manav Rachna International Institute and Studies (MRIIRS), Faridabad, Haryana, India
,
Pooja Sharma
1   Department of Physiotherapy, Faculty of Allied Health Sciences, Manav Rachna International Institute and Studies (MRIIRS), Faridabad, Haryana, India
,
Moattar Raza Rizvi
1   Department of Physiotherapy, Faculty of Allied Health Sciences, Manav Rachna International Institute and Studies (MRIIRS), Faridabad, Haryana, India
,
Ankita Sharma
1   Department of Physiotherapy, Faculty of Allied Health Sciences, Manav Rachna International Institute and Studies (MRIIRS), Faridabad, Haryana, India
,
Irshad Ahmad
1   Department of Physiotherapy, Faculty of Allied Health Sciences, Manav Rachna International Institute and Studies (MRIIRS), Faridabad, Haryana, India
,
Shaji John Kachanathu
2   Health Rehabilitation Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
› Author Affiliations
Funding None.

Abstract

Objectives Lawn tennis is an explosive sport that involves various fitness parameters such as explosive strength, endurance, power, and agility. Improved physical fitness leads to superior athletic performance. The coach's perception is contingent upon his perception of the player at the time the athlete is comparing himself to the coach. Thus, this study aimed to determine the association between chosen fitness factors and perceived performance by coach in lawn tennis players. Thus, the study aims to detect the relationship between different fitness variables and perceived level of performance in lawn tennis player.

Materials and Methods Fifty-two lawn tennis players from two sports academies were measured for various parameters of fitness and perceived performance level as rated by the coach.

Statistical Analysis The association between selected fitness metrics and perceived performance in lawn tennis players was investigated using Pearson's correlation test. Furthermore, the data were analyzed with paired t-test for male and female group, and ANOVA was used to analyze the difference between the levels of performance.

Results Fatigue index, closed kinetic chain upper extremity stability (CKCUEST) test, and peak power and energy expenditure taken by metabolic equivalent (MET) calculation was found to be statistically different between males and females. While comparing BMI with the peak power, there was a weak positive correlation for males, while for female there was no correlation. Metabolic equivalent, energy expenditure, and peak power were positively correlated with the level of performance; however, fatigue index and level of performance had a negative nonsignificant correlation.

Conclusion Peak power, fatigue index, energy expenditure, and BMI were found to be associated in males, but not in females. Peak power and energy expenditure were connected to performance in both genders.

Ethical Considerations and Ethical Approvals

Ethical approval was obtained from the ethics committee at Faculty of Allied Health Sciences in accordance to Ethical Principles for Medical Research Involving Human (WMA Declaration of Helsinki) having reference No: MRIIRS/FAHS/DEC/2021-S26 dated April 10, 2021.


Authors' Contributions

S.M. contributed to the article's conception, design, research, and writing. S.S. also helped in the data collection phase of the project, data interpretation, data gathering, and writing. A.S. was involved in the article's conceptualization, design, and data interpretation. M.R.R. assisted in the statistical analysis of study data, the interpretation of data, the authoring, and dissemination of the scientific work. I.A. contributed to the creation of the literature review, writing results and research publications. S.J.K. contributed in conceptualization, data interpretation and critical review of the article.


All authors read and approved the final version of the manuscript.




Publication History

Article published online:
17 March 2023

© 2023. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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  • References

  • 1 Phomsoupha M, Laffaye G. The science of badminton: game characteristics, anthropometry, physiology, visual fitness and biomechanics. Sports Med 2015; 45 (04) 473-495
  • 2 Fernandez-Fernandez J, Ulbricht A, Ferrauti A. Fitness testing of tennis players: how valuable is it?. Br J Sports Med 2014; 48 (Suppl 1, Suppl 1) i22-i31
  • 3 Ulbricht A, Fernandez-Fernandez J, Mendez-Villanueva A, Ferrauti A. Impact of fitness characteristics on tennis performance in elite junior tennis players. J Strength Cond Res 2016; 30 (04) 989-998
  • 4 Fett J, Ulbricht A, Ferrauti A. Impact of physical performance and anthropometric characteristics on serve velocity in elite junior tennis players. J Strength Cond Res 2020; 34 (01) 192-202
  • 5 Fernandez-Fernandez J, Sanz-Rivas D, Mendez-Villanueva A. A review of the activity profile and physiological demands of tennis match play. Strength Condit J 2009; 31 (04) 15-26
  • 6 Lemos RS, Paz GA, de Freitas Maia M. et al. Anthropometric and physical fitness parameters versus specific performance tests in Brazilian field hockey athletes: a pilot study. Biomed Hum Kinetics 2017; 9 (01) 57-63
  • 7 Huang H, Chatchawan U, Eungpinichpong W, Hunsawong T. Progressive decrease in leg-power performance during a fatiguing badminton field test. J Phys Ther Sci 2019; 31 (10) 765-770
  • 8 Vaverka F, Cernosek M. Association between body height and serve speed in elite tennis players. Sports Biomech 2013; 12 (01) 30-37
  • 9 McKinley IA. The relationship between physical factors to agility performance in collegiate tennis players. 2010
  • 10 Mujika I, Halson S, Burke LM, Balagué G, Farrow D. An integrated, multifactorial approach to periodization for optimal performance in individual and team sports. Int J Sports Physiol Perform 2018; 13 (05) 538-561
  • 11 Franklin BA, Brinks J, Berra K, Lavie CJ, Gordon NF, Sperling LS. Using metabolic equivalents in clinical practice. Am J Cardiol 2018; 121 (03) 382-387
  • 12 Fernandez-Fernandez J, Nakamura FY, Moreno-Perez V. et al. Age and sex-related upper body performance differences in competitive young tennis players. PLoS One 2019; 14 (09) e0221761
  • 13 Sukriti M, Abhishta S, Shobhit S. Association of 2D: 4D ratio with performance in racquet sport players. Eur J Physical Education Sport Sci 2019; 5 (05) 64-74
  • 14 Dossena F, Rossi C, LA Torre A, Bonato M. The role of lower limbs during tennis serve. J Sports Med Phys Fitness 2018; 58 (03) 210-215
  • 15 Ekstrand J, Lundqvist D, Lagerbäck L, Vouillamoz M, Papadimitiou N, Karlsson J. Is there a correlation between coaches' leadership styles and injuries in elite football teams? A study of 36 elite teams in 17 countries. Br J Sports Med 2018; 52 (08) 527-531
  • 16 Cruz AB, Kim H-D. Leadership preferences of adolescent players in sport: influence of coach gender. J Sports Sci Med 2017; 16 (02) 172-179
  • 17 Welch ES, Watson MD, Davies GJ, Riemann BL. Biomechanical analysis of the closed kinetic chain upper extremity stability test in healthy young adults. Phys Ther Sport 2020; 45: 120-125
  • 18 Tsiprun I, Eisenstein T, Eliakim A, Nemet D, Meckel Y. Relationships among repeated sprint tests and aerobic fitness in adolescent tennis players. Acta Kinesiologiae Universitatis Tartuensis 2013; 19: 31-40
  • 19 Coelho-Ravagnani CdF. Melo FCL, Ravagnani FC, Burini FHP, Burini RC. Estimation of metabolic equivalent (MET) of an exercise protocol based on indirect calorimetry. Rev Bras Med Esporte 2013; 19: 134-138
  • 20 Hargreaves M, Spriet LL. Skeletal muscle energy metabolism during exercise. Nat Metab 2020; 2 (09) 817-828
  • 21 Maciejczyk M, Wiecek M, Szymura J, Szygula Z, Brown LE. Influence of increased body mass and body composition on cycling anaerobic power. J Strength Cond Res 2015; 29 (01) 58-65
  • 22 Ahmed S, Akter R, Saraswat A, Esht V. Core stability and its impact on upper extremity function in racket sports: a narrative review. Saudi Journal of Sports Medicine. 2019; 19 (02) 31
  • 23 Maulder PS, Bradshaw EJ, Keogh J. Jump kinetic determinants of sprint acceleration performance from starting blocks in male sprinters. J Sports Sci Med 2006; 5 (02) 359-366
  • 24 Hennessy L, Kilty J. Relationship of the stretch-shortening cycle to sprint performance in trained female athletes. J Strength Cond Res 2001; 15 (03) 326-331
  • 25 Meckel Y, Machnai O, Eliakim A. Relationship among repeated sprint tests, aerobic fitness, and anaerobic fitness in elite adolescent soccer players. J Strength Cond Res 2009; 23 (01) 163-169
  • 26 Westerterp KR. Control of energy expenditure in humans. Eur J Clin Nutr 2017; 71 (03) 340-344
  • 27 Habibzadeh N. Hypertension, metabolic equivalent task and Post–exercise hypotension. Physical Activity Review 2015; 3: 44-48
  • 28 Jaakkola T, Yli-Piipari S, Huotari P, Watt A, Liukkonen J. Fundamental movement skills and physical fitness as predictors of physical activity: A 6-year follow-up study. Scand J Med Sci Sports 2016; 26 (01) 74-81
  • 29 Warburton DE, Nicol CW, Bredin SS. Health benefits of physical activity: the evidence. CMAJ 2006; 174 (06) 801-809
  • 30 Moreira NB, Mazzardo O, Vagetti GC, De Oliveira V, De Campos W. Quality of life perception of basketball master athletes: association with physical activity level and sports injuries. J Sports Sci 2016; 34 (10) 988-996