APPLYING THE BORG'S RATINGS OF PERCEIVED EXERTION SCALE TO ASSESS MOTOR DEVELOPMENT IN ONLINE UNIVERSITY LEARNING
DOI:
https://doi.org/10.15547/tjs.2024.s.01.036Keywords:
overload, training loads, Borg Scale of Perceived Exertion, self-report questionnaireAbstract
Physical education and sports lecturers should evaluate the impact of physical exercises proposed for implementation in the home environment. The use of self-report scales for the degree of physical exertion is a valuable tool for objectivity and tracking the physical effort exerted by students. The Borg Scale of Perceived Exertion (RPE) that subjects self-report exercise intensity during exercise. This paper aims to analyze the available literature regarding the application and validity of the scale and to determine whether the Borg of Perceived Exertion Scale can be applied during distance education in physical education and sports at the university. This narrative review combines theoretical analysis and reflective insights to gather information about the suitability of the Borg scale for use in distance learning students in physical education and sports. Results and discussion: During the search for innovative methods of work in the discipline of Physical Education and Sport, no data on the use of the Borg Scale in students were found. According to the available scientific studies, the Borg Scale is a good tool that can be used to plan the intensity of training programs, assess physical exertion, and as a means of controlling recovery from physical fatigue. Conclusion: The use of the scale as a tool for self-assessment by students of the degree of physical exertion will facilitate the optimization of academic and sports programs at the university. In this way, the physical load would correspond more precisely to the individual motor qualities and physical capabilities of the students.
References
Achten J, Jeukendrup A. (2003). Heart rate monitoring: applications and limitation. Sports Med 33(7):517–538
Askow A., Lobato A., Arndts D., Jennings W., Kreutzer A., Erickson J., Esposito P., Oliver J., Foster C., Jagim A. (2021). Session Rating of Perceived Exertion (sRPE) Load and Training Impulse Are Strongly Correlated to GPS-Derived Measures of External Load in NCAA Division I Women's Soccer Athletes. J Funct Morphol Kinesiol. Oct 29;6(4):90. doi: 10.3390/jfmk6040090.
Belomazheva-Dimitrova, S. (2020). Changes in Some Performance Indicators Following the Implementation of an Experimental Model for Body Corpus Muscle Stability in Physical Education and Sports Classes. Trakia Journal of Science, Vol. 18, (Suppl. 1), pp. 741-747; doi:10.15547/tjs.2020.s.01.112
Bieleke M., Wolff W. (2017). That Escalated Quickly-Planning to Ignore RPE Can Backfire. Front Physiol. 8:736. https://doi.org/10.3389%2Ffphys.2017.00736
Borg G. (1970) Perceived exertion as an indicator of somatic stress. Scand J Rehabil Med. 1970;2(2):92–8.
Borg G. (1982). Psychophysical bases of perceived exertion. Med Sci Sports Exerc.;14:377–381.
Borg G. (1990). Psychophysical scaling with applications in physical work and the perception of exertion. Scand J Work Environ Health.16 (Suppl 1):55–58.
Borg G., Dahlström H. (1960). The Perception of Muscular Work. Umeå: Publications of the Umea Research Library.
Borg, G. A. (1962). Physical performance and perceived exertion. Lund: Gleerup
Borresen J, Lambert MI. The quantification of training load, the training response and the effect on performance. (2009). Sports Med.;39(9):779–795. doi:10.2165/11317780-000000000-00000
Bosquet, Laurent. (2012). Training aerobic. DOI: 10.1007/978-3-540-29807-6_187
Bourdon, P. C., Cardinale, M., Murray, A., Gastin, P., Kellmann, M., Varley, M. C., Gabbett, T. J., Coutts, A. J., Burgess, D. J., Gregson, W., & Cable, N. T. (2017). Monitoring Athlete Training Loads: Consensus Statement. International Journal of Sports Physiology and Performance. 12(s2), S2-161-S2-170. https://journals.humankinetics.com/view/journals/ijspp/12/s2/article-pS2-161.xml
Chen Y., Chen C., Hsia P., Lin S. (2013). Relationships of Borg's RPE 6-20 scale and heart rate in dynamic and static exercises among a sample of young Taiwanese men. Percept Mot Skills. Dec;117(3):971-82. doi: 10.2466/03.08.
Chen, M. J., Fan, X., & Moe, S. T. (2002). Criterion-related validity of the Borg ratings of perceived exertion scale in healthy individuals: a meta-analysis. Journal of sports sciences. 20(11), 873-899.
Dyakova, G., P. Angelova, Iv. Angelova, T. Dyakov, S. Belomazheva-Dimitrova. (2017). Sports injuries in students – athletes. Trakia Journal of Sciences. Vol. 15, (Suppl. 1), pp. 369-374. http://www.uni-sz.bg/ doi:10.15547/tjs.2017.s.01.062.
Garcia, Laura & Planas, Antoni & Peirau, Xavier. (2022). Analysis of the injuries and workload evolution using the RPE and s-RPE method in basketball. Apunts Sports Medicine. 57. 100372. 10.1016/j.apunsm.2021.100372.
Haddad, M., Stylianides, G., Djaoui, L., Dellal, A., & Chamari, K. (2017). Session-RPE Method for Training Load Monitoring: Validity, Ecological Usefulness, and Influencing Factors. Frontiers in Neuroscience. 11(612). https://doi.org/10.3389/fnins.2017.00612
Halson S. L. (2014). Monitoring training load to understand fatigue in athletes. Sports medicine. (Auckland, N.Z.), 44 (Suppl 2), S139–S147. https://doi.org/10.1007/s40279-014-0253-z
Ignatova, D. (2020). Importance of motor skills in order to increase the overall physical capacity of children, Smart Inovattions in Recreative & Wellness Industry and Niche Tourisum - Scientific Journal Vol. 2 Issue 1-2, ISSN: 2603-493X , eISSN: 2603-4921(online), page 40-44, Sofia 2020. https://scjournal.globalwaterhealth.org/wp-content/uploads/2020/12/Ignatova-p-40-44-Vol-2-Iss-1-2-UK-2020.pdf
Ignatova, D. (2021). Specificity of the motor potential for achieving Scholar Wellness. Trakia Journal of Sciences. Vol. 19, (Suppl. 1). pp 867-873. http://www.uni-sz.bg. doi:10.15547/tjs.2021.s.01.136
Ignatova, D. (2023). Sistema ot dvigatelni kompleksi bazirana na spetsializirana aplikatsia Blaze-Pod Trainer, Izdatelstvo "Obrazovanie i poznanie", MONOGRAFIA, ISBN 978-619-7515-39-8, Sofia, 2023. (in Bulgarian)
Ignаtоvа, D. & А. Iliеv. (2022). Benchmarking for Development of Speed and Power Characteristics, Scientific and methodical magazine Strategies for policy in science and education - Research and paradigms. ISSN 1310 – 0270 (Print), ISSN 1314 – 8575 (Online), Volume 30, Number 4 , pp. 411-421, https://doi.org/10.53656/str2022-4-6-ben
Ivanova M., P. Petkov. (2019). Innovative Methods For Developing Physical Strengths And Endurance In Students. Trakia Journal of Sciences, Vol. 17, (Suppl. 1), pp 821-825. http://www.uni-sz.bg/ doi:10.15547/tjs.2019.s.01.135
Jatene, P.,G. B. Pereira , É. C. Chaperuto, A. R. Fukushima, M. Doro. (2019). Training Sessions’ RPE in Professional Football is Influenced by Playing Position. Journal of Physical Education and Sport ® (JPES), Vol 19 (Supplement issue 4), Art 203 pp 1398 – 1406, 2019 online ISSN: 2247 - 806X; DOI:10.7752/jpes.2019.s4203
López, José & García Martínez, Salvador & Olaya Cuartero, Javier & Ferriz-Valero, Alberto. (2021). Quantification of training and competition load: comparative analysis by position in a Spanish Golden Basketball League team. Retos: Nuevas Tendencias en Educación Física, Deporte y Recreación. 42. 882-890. 10.47197/retos.v42i0.87269.
Luana L. Cabral, Fábio Y. Nakamura, Joice M. F. Stefanello, Luiz C. V. Pessoa, Bruno P. C. Smirmaul & Gleber Pereira (2020) Initial Validity and Reliability of the Portuguese Borg Rating of Perceived Exertion 6-20 Scale. Measurement in Physical Education and Exercise Science. 24:2, 103-114, DOI: 10.1080/1091367X.2019.1710709
Mathiassen S., Hallman D., Lyskov E., Hygge S. (2014). Can cognitive activities during breaks in repetitive manual work accelerate recovery from fatigue? A controlled experiment. PLoS ONE;9:e112090. https://doi.org/10.1371/journal.pone.0112090
McCulloch J., Lorenz D., Kloby M, Aslan S., Love M., De Paleville D. (2018). Prediction of Maximal Oxygen Consumption from Rating of Perceived Exertion (RPE) using a Modified Total-body Recumbent Stepper. Int J Exerc Sci.;8(4):414-424.
Morishita S., Tsubaki A., Takabayashi T., Fu J. (2018). Relationship between the rating of perceived exertion scale and the load intensity of resistance training. Strength Cond J. 40(2):94-109. doi:10.1519/SSC.0000000000000373
Mujika I. (2017). Quantification of training and completion loads in endurance sports: Methods and applications. Int J Sports Physiol Perf.;12(Suppl 2):S2-9–S2-17. http://dx.doi.org/10.1123/ijspp.2016-0403
Petkov, P. (2023). A study of the impact of the pandemic on the motivation of female student of the Trakia University to participate in physical education and sport classes, Trakia Journal of Sciences. Vol. 21, (Suppl. 1), pp 339-346, http://www.uni-sz.bg doi:10.15547/tjs.2023.s.01.055
Scherr J, Wolfarth B, Christle JW, Pressler A, Wagenpfeil S, Halle M. (2013). Associations between Borg's rating of perceived exertion and physiological measures of exercise intensity. Eur J Appl Physiol. 113(1):147-55. doi: 10.1007/s00421-012-2421-x.
Slavcheva-Hinkova P., A. Bozhkova (2020). Study students and sports activity during the state of emergency due to Covid-19. Trakia Journal of Sciences. Vol. 18, (Suppl. 1), pp 707-712, http://www.uni-sz.bg doi:10.15547/tjs.2020.s.01.114
Williams, N. (2017). The Borg Rating of Perceived Exertion (RPE) scale. Occupational Medicine, Volume 67, Issue 5, pages 404–405, https://doi.org/10.1093/occmed/kqx063
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Trakia University
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
