Investigation into the accuracy of subjective load parameters in comparison to analytical load measurements in NCAA Division I women’s volleyball

Main Article Content

Katherine B. Pierce
https://orcid.org/0000-0002-4386-1885
Julia Phillips
https://orcid.org/0000-0003-2823-1145
Paul D. Loprinzi
Matthew B. Jessee
https://orcid.org/0000-0002-7721-4117
Thomas L. Andre
Hannah E. Nelson
https://orcid.org/0000-0002-7443-6072
Melinda Valliant
https://orcid.org/0000-0001-9641-9700

Abstract

Monitoring athletes’ workload has become common practice in sports and differs depending on the sport’s physical demands. Within volleyball, an inertial measurement unit can be utilized to track the number of jumps performed by players. However, other methods of measuring jump frequency are needed for teams without access to this equipment. The purpose of this study was to determine if volleyball athletes can accurately predict the number of jumps performed after training and matches when given a perceptual scale and if player position, session rating of perceived exertion (sRPE), and perceived sets played affected the players’ accuracy. Less than half of the team’s jump count estimations (23.2%) were within 25 of the actual number of jumps and over half of the players’ responses (58%) were within 50 of the measured number of jumps. A generalized estimating equation (GEE) with a binary response was used to investigate the impact of position, sRPE, and sets played. Position was the only variable to have a significant impact on jump count accuracy. Based on these results, a perceptual scale could be useful in better understanding players’ jump counts following training, but number of jumps allotted to each jump range and position could impact accuracy.

Article Details

How to Cite
Pierce, K., Phillips, J., Loprinzi, P., Jessee, M., Andre, T., Nelson, H., & Valliant, M. (2022). Investigation into the accuracy of subjective load parameters in comparison to analytical load measurements in NCAA Division I women’s volleyball. Scientific Journal of Sport and Performance, 2(1), 83–93. https://doi.org/10.55860/ALGP9210
Section
Performance Analysis of Sport and Physical Conditioning
Author Biographies

Katherine B. Pierce, University of Tennessee

Department of Sports Nutrition.

Julia Phillips, University of Mississippi

Department of Health, Exercise Science, and Recreation Management.

Paul D. Loprinzi, University of Mississippi

Department of Health, Exercise Science, and Recreation Management.

Matthew B. Jessee, University of Mississippi

Department of Health, Exercise Science, and Recreation Management.

Thomas L. Andre, University of Mississippi

Department of Health, Exercise Science, and Recreation Management.

Hannah E. Nelson, University of Mississippi

Department of Health, Exercise Science, and Recreation Management.

Melinda Valliant, University of Mississippi

School of Applied Sciences.

References

Bahr, M. A., & Bahr, R. (2014). Jump frequency may contribute to risk of jumper’s knee: a study of interindividual and sex differences in a total of 11 943 jumps video recorded during training and matches in young elite volleyball players. British Journal of Sports Medicine, 48(17), 1322–1326. https://doi.org/10.1136/bjsports-2014-093593

Baugh, C. M., Weintraub, G. S., Gregory, A. J., Djoko, A., Dompier, T. P., & Kerr, Z. Y. (2018). Descriptive Epidemiology of Injuries Sustained in National Collegiate Athletic Association Men’s and Women’s Volleyball, 2013-2014 to 2014-2015. Sports Health: A Multidisciplinary Approach, 10(1), 60–69. https://doi.org/10.1177/1941738117733685

Borg, G. (1990). Psychophysical scaling with applications in physical work and the perception of exertion. Scandinavian Journal of Work, Environment & Health, 16, 55–58. https://doi.org/10.5271/sjweh.1815

Borges, T. O., Moreira, A., Bacchi, R., Finotti, R. L., Ramos, M., Lopes, C. R., & Aoki, M. S. (2017). Validation of the VERT wearable jump monitor device in elite youth volleyball players. Biology of Sport, 3, 239–242. https://doi.org/10.5114/biolsport.2017.66000

Brooks, E. R., Benson, A. C., & Bruce, L. M. (2018). Novel Technologies Found to be Valid and Reliable for the Measurement of Vertical Jump Height With Jump-and-Reach Testing. Journal of Strength and Conditioning Research, 32(10), 2838–2845. https://doi.org/10.1519/JSC.0000000000002790

Charlton, P. C., Kenneally-Dabrowski, C., Sheppard, J., & Spratford, W. (2017). A simple method for quantifying jump loads in volleyball athletes. Journal of Science and Medicine in Sport, 20(3), 241–245. https://doi.org/10.1016/j.jsams.2016.07.007

Costa, J. A., Brito, J., Nakamura, F. Y., Figueiredo, P., & Rebelo, A. (2022). Using the Rating of Perceived Exertion and Heart Rate to Quantify Training Intensity in Female Soccer Players: Validity and Utility. Journal of Strength and Conditioning Research, 36(1), 201–206. https://doi.org/10.1519/JSC.0000000000003407

Couppé, C., Kongsgaard, M., Aagaard, P., Hansen, P., Bojsen-Moller, J., Kjaer, M., & Magnusson, S. P. (2008). Habitual loading results in tendon hypertrophy and increased stiffness of the human patellar tendon. Journal of Applied Physiology, 105(3), 805–810. https://doi.org/10.1152/japplphysiol.90361.2008

Cuñado-González, Á., Martín-Pintado-Zugasti, A., & Rodríguez-Fernández, Á. L. (2019). Prevalence and Factors Associated With Injuries in Elite Spanish Volleyball. Journal of Sport Rehabilitation, 28(8), 796–802. https://doi.org/10.1123/jsr.2018-0044

Duarte, T. S., Alves, D. L., Coimbra, D. R., Miloski, B., Bouzas Marins, J. C., & Bara Filho, M. G. (2019). Technical and Tactical Training Load in Professional Volleyball Players. International Journal of Sports Physiology and Performance, 14(10), 1338–1343. https://doi.org/10.1123/ijspp.2019-0004

Ferretti, A., Puddu, G., Mariani, P. P., & Neri, M. (1984). Jumper’s Knee: An Epidemiological Study of Volleyball Players. The Physician and Sportsmedicine, 12(10), 97–106. https://doi.org/10.1080/00913847.1984.11701970

Ghali, B. M., Owoeye, O. B. A., Stilling, C., Palacios-Derflingher, L., Jordan, M., Pasanen, K., & Emery, C. A. (2020). Internal and External Workload in Youth Basketball Players Who Are Symptomatic and Asymptomatic for Patellar Tendinopathy. Journal of Orthopaedic & Sports Physical Therapy, 50(7), 402–408. https://doi.org/10.2519/jospt.2020.9094

Kraft, J. A., Laurent, M. C., Green, J. M., Helm, J., Roberts, C., & Holt, S. (2020). Examination of Coach and Player Perceptions of Recovery and Exertion. Journal of Strength and Conditioning Research, 34(5), 1383–1391. https://doi.org/10.1519/JSC.0000000000002538

Lian, Ø. B., Engebretsen, L., & Bahr, R. (2005). Prevalence of Jumper’s Knee among Elite Athletes from Different Sports: A Cross-sectional Study. The American Journal of Sports Medicine, 33(4), 561–567. https://doi.org/10.1177/0363546504270454

MacDonald, K., Bahr, R., Baltich, J., Whittaker, J. L., & Meeuwisse, W. H. (2017). Validation of an inertial measurement unit for the measurement of jump count and height. Physical Therapy in Sport, 25, 15–19. https://doi.org/10.1016/j.ptsp.2016.12.001

Mann, R. H., Williams, C. A., Clift, B. C., & Barker, A. R. (2019). The Validation of Session Rating of Perceived Exertion for Quantifying Internal Training Load in Adolescent Distance Runners. International Journal of Sports Physiology and Performance, 14(3), 354–359. https://doi.org/10.1123/ijspp.2018-0120

Mendes, B., Palao, J. M., Silvério, A., Owen, A., Carriço, S., Calvete, F., & Clemente, F. M. (2018). Daily and weekly training load and wellness status in preparatory, regular and congested weeks: a season-long study in elite volleyball players. Research in Sports Medicine, 26(4), 462–473. https://doi.org/10.1080/15438627.2018.1492393

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879

Reeser, J. C. (2006). Strategies for the prevention of volleyball related injuries. British Journal of Sports Medicine, 40(7), 594–600. https://doi.org/10.1136/bjsm.2005.018234

Richards, D. P., Ajemian, S. v., Wiley, J. P., & Zernicke, R. F. (1996). Knee Joint Dynamics Predict Patellar Tendinitis in Elite Volleyball Players. The American Journal of Sports Medicine, 24(5), 676–683. https://doi.org/10.1177/036354659602400520

Saw, A. E., Main, L. C., & Gastin, P. B. (2016). Monitoring the athlete training response: subjective self-reported measures trump commonly used objective measures: a systematic review. British Journal of Sports Medicine, 50(5), 281–291. https://doi.org/10.1136/bjsports-2015-094758

Skazalski, C., Whiteley, R., & Bahr, R. (2018a). High jump demands in professional volleyball-large variability exists between players and player positions. Scandinavian Journal of Medicine & Science in Sports, 28(11), 2293–2298. https://doi.org/10.1111/sms.13255

Skazalski, C., Whiteley, R., & Bahr, R. (2018b). High jump demands in professional volleyball-large variability exists between players and player positions. Scandinavian Journal of Medicine & Science in Sports, 28(11), 2293–2298. https://doi.org/10.1111/sms.13255

Soligard, T., Schwellnus, M., Alonso, J.-M., Bahr, R., Clarsen, B., Dijkstra, H. P., Gabbett, T., Gleeson, M., Hägglund, M., Hutchinson, M. R., Janse van Rensburg, C., Khan, K. M., Meeusen, R., Orchard, J. W., Pluim, B. M., Raftery, M., Budgett, R., & Engebretsen, L. (2016). How much is too much? (Part 1) International Olympic Committee consensus statement on load in sport and risk of injury. British Journal of Sports Medicine, 50(17), 1030–1041. https://doi.org/10.1136/bjsports-2016-096581

Visnes, H., & Bahr, R. (2012). Training volume and body composition as risk factors for developing jumper’s knee among young elite volleyball players. Scandinavian Journal of Medicine & Science in Sports, n/a-n/a. https://doi.org/10.1111/j.1600-0838.2011.01430.x

Vlantes, T. G., & Readdy, T. (2017). Using Microsensor Technology to Quantify Match Demands in Collegiate Women’s Volleyball. Journal of Strength and Conditioning Research, 31(12), 3266–3278. https://doi.org/10.1519/JSC.0000000000002208