Abstract

Valid and reliable measurement methods are the basic requirements that enable the measurement and evaluation process to reach education's basic goals. Usually, using laboratory-based tools and methods for measuring the physical fitness of students is not possible within school settings. Therefore, field-based tests provide crucial solutions to physical education teachers to measure both the physical fitness of school-aged students and the athletic competence of a school’s athletes. This study aims to identify the differences in physical-fitness levels between student athletes and non-athletes and determine the effectiveness of the Assessing Levels of Physical Activity (ALPHA) test battery in discrimination between these groups. Sixty-eight healthy male students (34 athletes and 34 non-athletes) participated in this study. As a major indicator of physical fitness in student athletes and non-athletes, the body mass index for assigned study groups was controlled. After a familiarization training, participants completed three test sessions in 48-hour intervals. The 20-m progressive shuttle run test for cardiorespiratory fitness, handgrip strength test and standing broad jump test for musculoskeletal fitness, and the 4 × 10-m shuttle run test for motor fitness were used to measure the fitness levels of the groups. A t-test was used to determine the differences between athletes and non-athletes, and effect sizes were calculated to assess practical importance. Additionally, a discriminant function analysis was used to determine whether the ALPHA test battery could differentiate between athletes and non-athletes. The findings indicated that student athletes presented with significantly greater levels of fitness than non-athletes. Additionally, when the effect of body mass index was eliminated, student athletes and non-athletes were classified correctly at a rate of 70.6% using these tests. Therefore, this study shows that physical education teachers can use the ALPHA test battery to monitor athletic performance and identify talented students.

Keywords

References

• Adom, D., Mensah, J. A., & Dake, D. A. (2020). Test, Measurement, and Evaluation: Understanding and Use of the Concepts in Education. International Journal of Evaluation and Research in Education, 9(1), 109-119. https://doi.org/10.11591/ijere.v9i1.20457.
• Alexandr, A., Sergij, T., & Olena, O. (2016). Role of physical education on the formation of a healthy lifestyle outside of school hours. Journal of Physical Education and Sport, 16(2), 335. https://doi.org/10.7752/jpes.2016.02054.
• Armour, K. M., & Yelling, M. (2007). Effective professional development for physical education teachers: The role of informal, collaborative learning. Journal of teaching in physical education, 26(2), 177-200. https://doi.org/10.1123/jtpe.26.2.177.
• Barfield, J., Channell, B., Pugh, C., Tuck, M., & Pendel, D. (2012). Format of basic instruction program resistance training classes: Effect on fitness change in college students. Physical Educator, 69(4), 325.
• Bernhardt, D. T., Gomez, J., Johnson, M., Martin, T., Rowland, T., Small, E., . . . Young, J. (2001). Strength training by children and adolescents. Pediatrics, 107(6), 1470-1472. https://doi.org//10.1542/peds.107.6.1470.
• Bianco, A., Jemni, M., Thomas, E., Patti, A., Paoli, A., Roque, J. R., . . . Tabacchi, G. (2015). A systematic review to determine reliability and usefulness of the field-based test batteries for the assessment of physical fitness in adolescents-The ASSO Project. International journal of occupational medicine and environmental health, 28(3), 445. http://doi.org/10.13075/ijomeh.1896.00393.
• Byrd‐Williams, C. E., Shaibi, G. Q., Sun, P., Lane, C. J., Ventura, E. E., Davis, J. N., . . . Goran, M. I. (2008). Cardiorespiratory fitness predicts changes in adiposity in overweight Hispanic boys. Obesity, 16(5), 1072-1077. https://doi.org/10.1038/oby.2008.16.
• Calatayud, J., Martín, F., Colado, J. C., Benavent, J., Martínez, M. C., & Flández, J. (2017). Relationship between the modified star excursion balance test and the 4x10 m shuttle run test in children. Cultura, Ciencia y Deporte, 12(35), 111-116.
• Caspersen, J., Frølich, N., Karlsen, H., & Aamodt, P. O. (2014). Learning outcomes across disciplines and professions: measurement and interpretation. Quality in Higher Education, 20(2), 195-215. https://doi.org/10.1080/13538322.2014.904587.
• Chen, W., Hammond-Bennett, A., Hypnar, A., & Mason, S. (2018). Health-related physical fitness and physical activity in elementary school students. BMC Public Health, 18(1), 195. https://doi.org/10.1186/s12889-018-5107-4.
• Council of Europe Committee for the Development of Sport [CECDS]. (1988). Handbook for the EUROFIT Tests of Physical Fitness. Rome, Italy: Edigraf editoriale grafica.
• Cohen, D. D., Gómez-Arbeláez, D., Camacho, P. A., Pinzon, S., Hormiga, C., Trejos-Suarez, J., . . . Lopez-Jaramillo, P. (2014). Low muscle strength is associated with metabolic risk factors in Colombian children: the ACFIES study. PloS one, 9(4), e93150. https://doi.org//10.1371/journal.pone.0093150.
• Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. 2nd Hillsdale Lawrence Erlbaum.
• Colombo-Dougovito, A. M. (2013). Comparison of physical fitness performance between elementary aged students with and without attention deficit hyperactivity disorder. Physical Educator, 70(3), 262-282.
• Everett, P. W., & Sills, F. D. (1952). The relationship of grip strength to stature, somatotype components, and anthropometric measurements of the hand. Research Quarterly. American Association for Health, Physical Education and Recreation, 23(2), 161-166. https://doi.org/10.1080/10671188.1952.10761971.
• Faigenbaum, A. D., Milliken, L. A., & Westcott, W. L. (2003). Maximal strength testing in healthy children. The Journal of Strength & Conditioning Research, 17(1), 162-166.
• Fukuda, D. H., Stout, J. R., Kendall, K. L., Smith, A. E., Wray, M. E., & Hetrick, R. P. (2013). The effects of tournament preparation on anthropometric and sport-specific performance measures in youth judo athletes. The Journal of Strength & Conditioning Research, 27(2), 331-339. https://doi.org/10.1519/JSC.0b013e31825423b3.
• Gençoğlu, C., & Akkuş, E. (2020). Egzersize tiroid hormon yanıtları. Medical Sciences, 15(3), 71-80. http://dx.doi.org/10.12739/NWSA.2020.15.3.1B009.
• Hallal, P. C., Andersen, L. B., Bull, F. C., Guthold, R., Haskell, W., Ekelund, U., & Lancet Physical Activity Series Working Group. (2012). Global physical activity levels: surveillance progress, pitfalls, and prospects. The lancet, 380(9838), 247-257.
• Hasan, E. (2013). Evaluation of high blood pressure, body mass index and blood lipids in obese, athletes and sedentary children in terms of cardiovascular risk factors. Life Science Journal, 10(5s).
• Hopkins, W. (2015). A new view of statistics: A scale of magnitude for effect statistics. Sportscience.
• Ince, I., & Ulupinar, S. (2020). Prediction of competition performance via selected strength-power tests in junior weightlifters. The Journal of Sports Medicine and Physical Fitness, 60(2), 236-243. https://doi.org//10.23736/s0022-4707.19.10085-0.
• Kane, R. J., & Meredith, H. V. (1952). Ability in the standing broad jump of elementary school children 7, 9, and 11 years of age. Research Quarterly. American Association for Health, Physical Education and Recreation, 23(2), 198-208.
• Lee, S.-H., Song, J.-R., Kim, Y.-J., Kim, S.-J., Park, H., Kim, C.-S., . . . Park, D.-H. (2019). New 20 m Progressive Shuttle Test Protocol and Equation for Predicting the Maximal Oxygen Uptake of Korean Adolescents Aged 13–18 Years. International Journal of Environmental Research and Public Health, 16(13), 2265. https://doi.org/10.3390/ijerph16132265
• Leger, L. A., & Lambert, J. (1982). A maximal multistage 20-m shuttle run test to predict $$\dot V $$ O2 max. European journal of applied physiology and occupational physiology, 49(1), 1-12. http://doi.org/10.1080/02640418808729800.
• Leger, L. A., Mercier, D., Gadoury, C., & Lambert, J. (1988). The multistage 20 metre shuttle run test for aerobic fitness. Journal of sports sciences, 6(2), 93-101.
• Mayorga-Vega, D., Aguilar-Soto, P., & Viciana, J. (2015). Criterion-related validity of the 20-m shuttle run test for estimating cardiorespiratory fitness: a meta-analysis. Journal of sports science & medicine, 14(3), 536-547.
• McMurray, R. G., Bangdiwala, S. I., Harrell, J. S., & Amorim, L. D. (2008). Adolescents with metabolic syndrome have a history of low aerobic fitness and physical activity levels. Dynamic medicine, 7(1), 1-6. https://doi.org/10.1186/1476-5918-7-5.
• Myers, N. D., Lee, S., & Silverman, S. (2019). Measurement in physical education and exercise science (MPEES): A brief report on 2018. Measurement in Physical Education and Exercise Science, 23(1), 1-9. https://doi.org/10.1080/1091367X.2019.1584564.
• Nevill, A. M., Winter, E. M., Ingham, S., Watts, A., Metsios, G. S., & Stewart, A. D. (2010). Adjusting athletes' body mass index to better reflect adiposity in epidemiological research. Journal of sports sciences, 28(9), 1009-1016.
• Newman, D. G., Pearn, J., Barnes, A., Young, C., Kehoe, M., & Newman, J. (1984). Norms for hand grip strength. Archives of disease in childhood, 59(5), 453-459. https://doi.org/10.1080/10671188.1952.10761974.
• Nikolaidis, P. (2014). Age-related differences in countermovement vertical jump in soccer players 8-31 years old: the role of fat-free mass. American Journal of Sports Science and Medicine, 2(2), 60-64.
• Nikolaidis, P. T. (2013). Body mass index and body fat percentage are associated with decreased physical fitness in adolescent and adult female volleyball players. Journal of research in medical sciences: the official journal of Isfahan University of Medical Sciences, 18(1), 167-174..
• Ortega, F. B., Artero, E. G., Ruiz, J. R., España-Romero, V., Jiménez-Pavón, D., Vicente-Rodríguez, G., . . . Ottevaere, C. (2011). Physical fitness levels among European adolescents: the HELENA study. British journal of sports medicine, 45(1), 20-29. https://doi.org/10.1136/bjsm.2009.062679.
• Ortega, F. B., Ruiz, J. R., Castillo, M. J., & Sjöström, M. (2008). Physical fitness in childhood and adolescence: a powerful marker of health. International journal of obesity, 32(1), 1-11. https://doi.org/10.1038/sj.ijo.0803774.
• Özbay, S., & Ulupınar, S. (2020). Strength-Power Tests are More Effective When Performed After Exhaustive Exercise in Discrimination Between Top-Elite and Elite Wrestlers. Journal of strength and conditioning research. https://doi.org/10.1519/JSC.0000000000003456.
• Özkara, A. B. (2018). Physical education in EU schools and Turkey: A comparative study. Comparative Professional Pedagogy, 8(2), 101-106.
• Özkara, A. B., & Kalkavan, A. (2018). A validity and reliability study of the body coordination test for children in a group of turkish middle schoolers. Spormetre the Journal of Physical Education and Sport Sciences, 16(4), 1-1. https://doi.org/10.1501/Sporm_0000000389.
• Palamas, A., Zapartidis, I., Kotsampouikidou, Z., Tsakalou, L., Natsis, P., & Kokaridas, D. (2015). The use of anthropometric and skill data to identify talented adolescent team handball athletes. J Phys Educ Sports Management, 2, 174-183.
• Peterson, M. D., Alvar, B. A., & Rhea, M. R. (2006). The contribution of maximal force production to explosive movement among young collegiate athletes. The Journal of Strength & Conditioning Research, 20(4), 867-873. https://doi.org/10.1519/00124278-200611000-0002.
• Rink, J. E. (2013). Measuring teacher effectiveness in physical education. Research Quarterly for Exercise and Sport, 84(4), 407-418. https://doi.org/10.1080/02701367.2013.844018.
• Ruiz, J. R., Castro-Piñero, J., Artero, E. G., Ortega, F. B., Sjöström, M., Suni, J., & Castillo, M. J. (2009). Predictive validity of health-related fitness in youth: a systematic review. British journal of sports medicine, 43(12), 909-923. https://doi.org/10.1136/bjsm.2008.056499.
• Ruiz, J. R., Castro-Piñero, J., España-Romero, V., Artero, E. G., Ortega, F. B., Cuenca, M. M., . . . Mora, J. (2011). Field-based fitness assessment in young people: the ALPHA health-related fitness test battery for children and adolescents. British journal of sports medicine, 45(6), 518-524. https://doi.org/10.1136/bjsm.2010.075341.
• Ruiz, J. R., Ramirez-Lechuga, J., Ortega, F. B., Castro-Pinero, J., Benitez, J. M., Arauzo-Azofra, A., . . . Gutierrez, A. (2008). Artificial neural network-based equation for estimating VO2max from the 20 m shuttle run test in adolescents. Artificial intelligence in medicine, 44(3), 233-245. https://doi.org//10.1016/j.artmed.2008.06.004.
• Scruggs, P. W., Mungen, J. D., & Oh, Y. (2010). Physical activity measurement device agreement: pedometer steps/minute and physical activity time. Measurement in Physical Education and Exercise Science, 14(3), 151-163. https://doi.org/10.1080/1091367X.2010.495542.
• Tabacchi, G. (2011). Asso project: a challenge in the obesity prevention context. J Sport Sci Law, 1(3), 163-166.
• Twisk, J., Kemper, H., & Van Mechelen, W. (2002). The relationship between physical fitness and physical activity during adolescence and cardiovascular disease risk factors at adult age. The Amsterdam Growth and Health Longitudinal Study. International journal of sports medicine, 23(S1), 8-14. https://doi.org/10.1055/s-2002-28455.
• Vaughn, M., Hur, J. W., & Russell, J. (2019). Flipping a college physical activity course: Impact on knowledge, skills, and physical activity. Journal of Pedagogical Research, 3(3), 87-98. https://doi.org/10.33902/jpr.vi0.126.
• Vermunt, J. D., Ilie, S., & Vignoles, A. (2018). Building the foundations for measuring learning gain in higher education: a conceptual framework and measurement instrument. Higher Education Pedagogies, 3(1), 266-301. https://doi.org/10.1080/23752696.2018.1484672.
• World Health Organization [WHO]. (2010). Global recommendations on physical activity for health: World Health Organization.
• World Health Organization [WHO]. (2018). Physical activity recommends for children and adolescents aged 5-17 years. World Health Organization. Available online: https://www.who.int/news-room/fact-sheets/detail/physical-activity.
• Wind, A. E., Takken, T., Helders, P. J., & Engelbert, R. H. (2010). Is grip strength a predictor for total muscle strength in healthy children, adolescents, and young adults? European journal of pediatrics, 169(3), 281-287. http://doi.org/10.1007/s00431-009-1010-4

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