The Effect of Anterior Cruciate Ligament Reconstruction on Leg-Spring Stiffness During Hopping
dc.contributor.advisor | Bahamonde, Rafael | |
dc.contributor.author | Wolfe, David K. | |
dc.contributor.other | Streepey, Jefferson | |
dc.contributor.other | Riley, Zachary | |
dc.contributor.other | Naugle, Kelly | |
dc.contributor.other | Beekley, Matthew | |
dc.date.accessioned | 2021-01-08T16:34:26Z | |
dc.date.available | 2021-01-08T16:34:26Z | |
dc.date.issued | 2020-12 | |
dc.degree.date | 2020 | en_US |
dc.degree.discipline | ||
dc.degree.grantor | Indiana University | en_US |
dc.degree.level | Ph.D. | en_US |
dc.description | Indiana University-Purdue University Indianapolis (IUPUI) | en_US |
dc.description.abstract | Leg-Spring Stiffness (LSS) is the measure of the musculoskeletal, neuromuscular, and biomechanical functions of the human body, and an appropriate evaluation metric for changes brought on by Anterior Cruciate Ligament Reconstruction (ACLr). ACLr can lead to flexion and extension loss, resulting in increased stiffness of the musculotendinous units of the ACLr leg and thus changes in LSS. LSS can be measured using Kleg, but little is known about the validity and reliability of the different methods of LSS and Kleg calculations. The purpose of this study was to determine if ACLr leads to a change in LSS (as measured by Kleg) during hopping, and to compare results of the Spring-Mass calculation and knee Joint Torsional stiffness methods in the computation of the overall Kleg. Video data synchronize with GRF were used to compute the kinematic and kinetic variables. Mann-Whitney U tests were used to determine significant differences between the control and experimental group for the Spring-Mass method of calculation (p = 0.004), Joint Torsional method (p =0.44), Kknee (p = 0.29), and Kankle (p = 0.17). Cohen’s effect calculations showed small to medium effects for the KKnee, (d = 0.383) but moderate effect size for the KAnkle, (d = 0.541). Wilcoxon Signed Rank comparison for all the legs and (N=42) between computational methods were significant differences between computational methods (Z = 5.65, p = 0.000), and with a large effect size (Cohen’s d = 3.14). Similar results were found when comparing only the ACLr leg values (p = 0.005, Cohen’s d = 4.88). The comparison between ACL Leg vs Non-ACL leg for experimental group subjects was not significant in either calculation method (Spring-Mass p = 0.20, Z = -1.27; torque calculation p = 0.96, Z = -0.05). The spring-mass method was more stable and able to detect differences between the control and ACLr group. The lack of statistical differences in the joint torsion calculation method, as well as in comparing the unaffected leg to the ACLr leg in the experimental group, suggests that LSS may not be a precise enough measurement to determine the effects of an ACLr. | en_US |
dc.identifier.uri | https://hdl.handle.net/1805/24789 | |
dc.identifier.uri | http://dx.doi.org/10.7912/C2/1410 | |
dc.language.iso | en_US | en_US |
dc.subject | ACL | en_US |
dc.subject | Hopping | en_US |
dc.subject | Leg-spring stiffness | en_US |
dc.title | The Effect of Anterior Cruciate Ligament Reconstruction on Leg-Spring Stiffness During Hopping | en_US |
dc.type | Dissertation |