Published May 4, 2025 | Version v1.01
Dataset Open

Functional Asymmetries and Force Efficiency in Elite Junior Badminton: Dataset and Analysis Pipelines

Authors/Creators

  • 1. Institute of Sport Sciences, Jerzy Kukuczka Academy of Physical Education, Katowice, Poland

Contributors

  • 1. Institute of Sport Sciences, Jerzy Kukuczka Academy of Physical Education, Katowice, Poland

Description

This dataset accompanies the study titled “Functional Asymmetries and Force Efficiency in Elite Junior Badminton: A Controlled Trial Using Hop Test Metrics and Neuromuscular Adaptation Indices.” The study investigated the effects of a 4-week biofeedback-guided training intervention aimed at reducing inter-limb asymmetries and enhancing neuromuscular performance in elite junior badminton players.

The uploaded materials include:

  • Raw asymmetry and performance data,

  • Supplementary Table S1 (functional outputs by asymmetry subgroups),

  • Full R Markdown analysis script (.Rmd),

  • KNIME machine learning pipeline (.knwf),

  • Visual figures used in publication (correlation matrix, PCA biplot, ROC curve, confusion matrix),

  • A README file detailing the dataset structure and analytical workflow.

All data are anonymized and structured according to FAIR principles. The R script and KNIME pipeline enable complete replication of statistical analyses and machine learning procedures, including PCA, LASSO, linear mixed models, and Random Forest classification. This repository is intended for open access use by researchers, coaches, and sport scientists interested in neuromechanical asymmetry, reactivity, and individualized training adaptation in youth athletes.

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Additional details

Dates

Collected
2024-01-10
Data collection during pre-season and early competitive phase of Ekstraklasa
Collected
2024-03-20
Final measurements and follow-up assessments completed
Created
2025-04-30
Dataset and figures finalized for open repository submission

References

  • Baida, S. R., Gorelick, M. L., Ng, S. C., & Steele, J. R. (2020). Does asymmetry in ground reaction force impair performance in sport-related tasks? Journal of Science and Medicine in Sport, 23(2), 151–157. Bishop, C., Read, P., Lake, J., Chavda, S., Turner, A., & Loturco, I. (2021). Interlimb asymmetries: understanding how to calculate differences from bilateral and unilateral tests. Strength & Conditioning Journal, 43(2), 22–31. Claudino, J. G., Capanema, D. O., de Souza, T. V., Serrão, J. C., Pereira, A. C., & de Lima, L. F. (2019). Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review. Sports Medicine - Open, 5(1), 28. Dos'Santos, T., Thomas, C., Comfort, P., & Jones, P. A. (2019). Asymmetries in isometric force-time characteristics are not detrimental to change of direction speed. Journal of Strength and Conditioning Research, 33(2), 375–381. Fort-Vanmeerhaeghe, A., Montalvo, A. M., Sitthiphong, B., et al. (2020). The relationship between inter-limb asymmetries and performance in youth elite team-sport athletes. PLOS ONE, 15(5), e0233311. Gil, Y., David, C. R., & Simmhan, Y. (2016). Towards the geoscience paper of the future: Best practices for documenting and sharing research from data to software to provenance. Earth and Space Science, 3(10), 388–401. Hewett, T. E., Ford, K. R., & Myer, G. D. (2017). Detecting patterns of movement: a new paradigm for injury prevention and performance enhancement. Journal of Athletic Training, 52(11), 1071–1082. Impellizzeri, F. M., Bizzini, M., Rampinini, E., Cereda, F., & Maffiuletti, N. A. (2007). Reliability of isokinetic strength imbalance ratios measured using the Cybex NORM dynamometer. Clinical Physiology and Functional Imaging, 28(2), 113–119. Read, P. J., Oliver, J. L., Myer, G. D., & Lloyd, R. S. (2022). The effect of limb dominance on inter-limb asymmetry in youth athletes: a meta-analysis. British Journal of Sports Medicine, 56(6), 312–319. Baida, S. R., Gorelick, M. L., Ng, S. C., & Steele, J. R. (2020). Does asymmetry in ground reaction force impair performance in sport-related tasks? Journal of Science and Medicine in Sport, 23(2), 151–157. https://doi.org/10.1016/j.jsams.2019.09.015 Bishop, C., Read, P., Chavda, S., Turner, A., & Loturco, I. (2020). Interlimb asymmetries: Understanding how to calculate differences from bilateral and unilateral tests. Strength & Conditioning Journal, 42(6), 47–56. https://doi.org/10.1519/SSC.0000000000000560 Bishop, C., Read, P., Lake, J., Chavda, S., Turner, A., & Loturco, I. (2021). Interlimb asymmetries: Origins, measurement, impact, and implications for training of athletes. Strength & Conditioning Journal, 43(2), 22–31. https://doi.org/10.1519/SSC.0000000000000618 Claudino, J. G., Capanema, D. O., de Souza, T. V., Serrão, J. C., Pereira, A. C., & de Lima, L. F. (2019). Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: A systematic review. Sports Medicine - Open, 5(1), 28. https://doi.org/10.1186/s40798-019-0202-3 Dos'Santos, T., Thomas, C., Comfort, P., & Jones, P. A. (2019). Asymmetries in isometric force-time characteristics are not detrimental to change of direction speed. Journal of Strength and Conditioning Research, 33(2), 375–381. https://doi.org/10.1519/JSC.0000000000002923 Ebben, W. P., Flanagan, E. P., & Jensen, R. L. (2008). Exercise physiology: Plyometric training. Strength & Conditioning Journal, 30(5), 20–30. https://doi.org/10.1519/SSC.0b013e318187f81e Fort-Vanmeerhaeghe, A., Montalvo, A. M., Sitthiphong, B., et al. (2020). The relationship between inter-limb asymmetries and performance in youth elite team-sport athletes. PLOS ONE, 15(5), e0233311. https://doi.org/10.1371/journal.pone.0233311 Gil, Y., David, C. R., & Simmhan, Y. (2016). Towards the geoscience paper of the future: Best practices for documenting and sharing research from data to software to provenance. Earth and Space Science, 3(10), 388–401. https://doi.org/10.1002/2016EA000201 Hewett, T. E., Ford, K. R., & Myer, G. D. (2017). Detecting patterns of movement: A new paradigm for injury prevention and performance enhancement. Journal of Athletic Training, 52(11), 1071–1082. https://doi.org/10.4085/1062-6050-52.11.14 Impellizzeri, F. M., Bizzini, M., Rampinini, E., Cereda, F., & Maffiuletti, N. A. (2007). Reliability of isokinetic strength imbalance ratios measured using the Cybex NORM dynamometer. Clinical Physiology and Functional Imaging, 28(2), 113–119. https://doi.org/10.1111/j.1475-097X.2007.00786.x Madruga-Parera, M., Bishop, C., Fort-Vanmeerhaeghe, A., Beltran-Valls, M. R., & Gonzalo-Skok, O. (2021). Interlimb asymmetries in youth athletes: Relationships with physical performance. Journal of Strength and Conditioning Research, 35(2), 512–518. https://doi.org/10.1519/JSC.0000000000002675 Read, P. J., Oliver, J. L., Myer, G. D., & Lloyd, R. S. (2022). The effect of limb dominance on inter-limb asymmetry in youth athletes: A meta-analysis. British Journal of Sports Medicine, 56(6), 312–319. https://doi.org/10.1136/bjsports-2020-103432 Sheppard, J. M., & Young, W. B. (2010). Using additional eccentric loads to increase concentric performance in the bench throw. Journal of Strength and Conditioning Research, 24(10), 2853–2856. https://doi.org/10.1519/JSC.0b013e3181f00b7b Wang, H., Chen, S., & Liu, D. (2021). Machine learning-based prediction of performance and injuries in sports: Current trends and future perspectives. Frontiers in Sports and Active Living, 3, 678354. https://doi.org/10.3389/fsals.2021.678354 McLellan, C. P., Lovell, D. I., & Gass, G. C. (2011). The role of rate of force development in performance of high-intensity functional tasks in rugby players. Journal of Strength and Conditioning Research, 25(3), 763–772. https://doi.org/10.1519/JSC.0b013e3181c7c5d0 Suchomel, T. J., Nimphius, S., & Stone, M. H. (2016). The importance of muscular strength in athletic performance. Sports Medicine, 46(10), 1419–1449. https://doi.org/10.1007/s40279-016-0486-0 Fort-Vanmeerhaeghe, A., Montalvo, A. M., Sitthiphong, B., et al. (2020). The relationship between inter-limb asymmetries and performance in youth elite team-sport athletes. PLOS ONE, 15(5), e0233311. https://doi.org/10.1371/journal.pone.0233311 Bishop, C., Turner, A. N., & Read, P. (2018). Effects of inter-limb asymmetries on physical and sports performance: A meta-analysis. Journal of Sports Sciences, 36(10), 1135–1144. https://doi.org/10.1080/02640414.2017.1361894 Bishop, C., Read, P., Lake, J., Chavda, S., Turner, A., & Loturco, I. (2021). Interlimb asymmetries: understanding how to calculate differences from bilateral and unilateral tests. Strength & Conditioning Journal, 43(2), 22–31. https://doi.org/10.1519/SSC.0000000000000605 American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). American Psychological Association.