Comparison of biomechanical risk factors for ACL injury between patients and healthy subjects during exergaming
Introduction Exergaming - physically active gaming - offers great potential for rehabilitation after knee injuries in sports, as it combines physical and cognitive challenges. However, before its use in sports rehabilitation can be recommended as safe and reliable, it is necessary to assess the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Bern Open Publishing
2024-02-01
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| Series: | Current Issues in Sport Science |
| Subjects: | |
| Online Access: | https://ciss-journal.org/article/view/10885 |
| _version_ | 1797322502255411200 |
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| author | Michelle C. Haas Anna L. Martin-Niedecken Larissa Wild Leander Schneeberger Eveline S. Graf |
| author_facet | Michelle C. Haas Anna L. Martin-Niedecken Larissa Wild Leander Schneeberger Eveline S. Graf |
| author_sort | Michelle C. Haas |
| collection | DOAJ |
| description |
Introduction
Exergaming - physically active gaming - offers great potential for rehabilitation after knee injuries in sports, as it combines physical and cognitive challenges. However, before its use in sports rehabilitation can be recommended as safe and reliable, it is necessary to assess the biomechanics associated with knee injuries - an abducted, internally rotated knee at 10-30° of flexion (Koga et al., 2010). The aim of this study was to compare knee valgus (KV) during 10-30° knee flexion between healthy individuals without previous knee injuries and patients undergoing rehabilitation after knee injuries in three exercises of a high-intensive, immersive exergame (ExerCube).
Methods
The kinematics of 18 healthy subjects (25.2 ± 3.3 years, 9 female) and 6 patients (25.0 ± 5.9 years, 2 female) were recorded using marker-based movement analysis (Vicon) during 25 minutes of exergame training (Sphery Racer, ExerCube). The average maximum KV angle during 10-30° knee flexion was compared between healthy subjects and patients in the squat, jump, and burpee for the right leg using a linear mixed model.
Results
The average maximal KV in the squat was 4.3° for healthy subjects and 4.8° for patients. In the jump, an average maximal KV of 5.9° (healthy subjects) and 6.8° (patients) was found. With an average of 6.9° in the maximal KV of healthy subjects and 8.6° in patients, the burpee showed the highest KV of all exercises. A significant main effect was found for exercise (F(2, 45) = 57.03, p < .001), but not for the difference between groups (F(1, 22) = 0.45, p = 0.51).
Discussion/Conclusion
There are no significant differences in KV between healthy participants and patients undergoing rehabilitation after knee injuries. This indicates that the pre-injury movement pattern was restored in the patients, and it can be assumed that the studied exercises during exergaming are safe for use in this stage of rehabilitation.
References
Koga, H., Nakamae, A., Shima, Y., Iwasa, J., Myklebust, G., Engebretsen, L., Bahr, R., & Krosshaug, T. (2010). Mechanisms for noncontact anterior cruciate ligament injuries: Knee joint kinematics in 10 injury situations from female team handball and basketball. The American Journal of Sports Medicine, 38(11), 2218–2225. https://doi.org/10.1177/0363546510373570
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| first_indexed | 2024-03-08T05:15:12Z |
| format | Article |
| id | doaj.art-8535fdab87d3479b8873969252f38d49 |
| institution | Directory Open Access Journal |
| issn | 2414-6641 |
| language | English |
| last_indexed | 2024-03-08T05:15:12Z |
| publishDate | 2024-02-01 |
| publisher | Bern Open Publishing |
| record_format | Article |
| series | Current Issues in Sport Science |
| spelling | doaj.art-8535fdab87d3479b8873969252f38d492024-02-07T03:16:05ZengBern Open PublishingCurrent Issues in Sport Science2414-66412024-02-019210.36950/2024.2ciss045Comparison of biomechanical risk factors for ACL injury between patients and healthy subjects during exergamingMichelle C. Haas0Anna L. Martin-Niedecken1Larissa Wild2Leander Schneeberger3Eveline S. Graf4School of Health Sciences, ZHAW Zurich University of Applied SciencesDepartment of Design, Zurich University of the ArtsDepartment of Design, Zurich University of the ArtsDepartment of Design, Zurich University of the ArtsSchool of Health Sciences, ZHAW Zurich University of Applied Sciences Introduction Exergaming - physically active gaming - offers great potential for rehabilitation after knee injuries in sports, as it combines physical and cognitive challenges. However, before its use in sports rehabilitation can be recommended as safe and reliable, it is necessary to assess the biomechanics associated with knee injuries - an abducted, internally rotated knee at 10-30° of flexion (Koga et al., 2010). The aim of this study was to compare knee valgus (KV) during 10-30° knee flexion between healthy individuals without previous knee injuries and patients undergoing rehabilitation after knee injuries in three exercises of a high-intensive, immersive exergame (ExerCube). Methods The kinematics of 18 healthy subjects (25.2 ± 3.3 years, 9 female) and 6 patients (25.0 ± 5.9 years, 2 female) were recorded using marker-based movement analysis (Vicon) during 25 minutes of exergame training (Sphery Racer, ExerCube). The average maximum KV angle during 10-30° knee flexion was compared between healthy subjects and patients in the squat, jump, and burpee for the right leg using a linear mixed model. Results The average maximal KV in the squat was 4.3° for healthy subjects and 4.8° for patients. In the jump, an average maximal KV of 5.9° (healthy subjects) and 6.8° (patients) was found. With an average of 6.9° in the maximal KV of healthy subjects and 8.6° in patients, the burpee showed the highest KV of all exercises. A significant main effect was found for exercise (F(2, 45) = 57.03, p < .001), but not for the difference between groups (F(1, 22) = 0.45, p = 0.51). Discussion/Conclusion There are no significant differences in KV between healthy participants and patients undergoing rehabilitation after knee injuries. This indicates that the pre-injury movement pattern was restored in the patients, and it can be assumed that the studied exercises during exergaming are safe for use in this stage of rehabilitation. References Koga, H., Nakamae, A., Shima, Y., Iwasa, J., Myklebust, G., Engebretsen, L., Bahr, R., & Krosshaug, T. (2010). Mechanisms for noncontact anterior cruciate ligament injuries: Knee joint kinematics in 10 injury situations from female team handball and basketball. The American Journal of Sports Medicine, 38(11), 2218–2225. https://doi.org/10.1177/0363546510373570 https://ciss-journal.org/article/view/10885exergamingkinematicslower bodyinjuryrehabilitation |
| spellingShingle | Michelle C. Haas Anna L. Martin-Niedecken Larissa Wild Leander Schneeberger Eveline S. Graf Comparison of biomechanical risk factors for ACL injury between patients and healthy subjects during exergaming Current Issues in Sport Science exergaming kinematics lower body injury rehabilitation |
| title | Comparison of biomechanical risk factors for ACL injury between patients and healthy subjects during exergaming |
| title_full | Comparison of biomechanical risk factors for ACL injury between patients and healthy subjects during exergaming |
| title_fullStr | Comparison of biomechanical risk factors for ACL injury between patients and healthy subjects during exergaming |
| title_full_unstemmed | Comparison of biomechanical risk factors for ACL injury between patients and healthy subjects during exergaming |
| title_short | Comparison of biomechanical risk factors for ACL injury between patients and healthy subjects during exergaming |
| title_sort | comparison of biomechanical risk factors for acl injury between patients and healthy subjects during exergaming |
| topic | exergaming kinematics lower body injury rehabilitation |
| url | https://ciss-journal.org/article/view/10885 |
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