ABSTRACT
This study investigated the effects of plyometric training on lower-limb muscle strength and knee biomechanical characteristics during the landing phase. Twenty-four male subjects were recruited for this study with a randomised controlled design. They were randomly divided into a plyometric training group and a traditional training group and underwent training for 16 weeks. Each subject was evaluated every 8 weeks for knee and hip isokinetic muscle strength as well as knee kinematics and kinetics during landing. The results indicated significant group and time interaction effects for knee extension strength (F = 74.942 and p = 0.001), hip extension strength (F = 99.763 and p = 0.000) and hip flexion strength (F = 182.922 and p = 0.000). For landing kinematics, there were significant group main effects for knee flexion angle range (F = 4.429 and p = 0.047), significant time main effects for valgus angle (F = 6.502 and p = 0.011) and significant group and time interaction effects for internal rotation angle range (F = 5.475 and p = 0.008). The group main effect for maximum knee flexion angle was significant (F = 7.534 and p = 0.012), and the group and time interaction effect for maximum internal rotation angle was significant (F = 15.737 and p = 0.001). For landing kinetics, the group main effect of the loading rate was significant (F = 4.576 and p = 0.044). Significant group and time interaction effects were observed for knee extension moment at the moment of maximum vertical ground reaction force (F = 5.095 and p = 0.010) and for abduction moment (F = 8.250 and p = 0.001). These findings suggest that plyometric training leads to greater improvements in hip and knee muscle strength and beneficial changes in knee biomechanics during landing compared to traditional training.
Subject(s)
Knee Joint , Muscle Strength , Plyometric Exercise , Humans , Male , Biomechanical Phenomena , Young Adult , Muscle Strength/physiology , Knee Joint/physiology , Knee/physiology , Athletes , Adult , Range of Motion, Articular/physiology , Hip/physiologyABSTRACT
Objective:To evaluate the intelligent performance measurement system for colonoscopy.Methods:Nine endoscopists from Renmin Hospital of Wuhan University were randomly assigned to the quality control group and the control group based on inclusion and exclusion criteria by the random number table. In the pre-quality-control stage (from April 20, 2019 to May 30, 2019), colonoscopic data acquired by the enrolled endoscopists were collected. In the training stage (June 1-30, 2019), the quality control group was trained on the quality control knowledge and the use of intelligent gastrointestinal endoscopy performance measurement system; but the control group was only trained on the quality control knowledge.In the post-quality-control stage (from July 1, 2019 to August 20, 2019), a weekly quality feedback was given to endoscopists of the quality control group, while the endoscopists of the control group had no quality control report.Then, the colonoscopic data acquired by enrolled endoscopists were prospectively collected during the period. The primary endpoint was adenoma detection rate. The secondary endpoints were withdrawal time, polyp detection rate and cecal intubation rate.Results:Four endoscopists were assigned to the quality control group and five to the control group. A total of 1 471 colonoscopic procedures were analyzed. The detection rates of adenoma and polyp in the quality control group increased with feedbacks[13.7% (45/329) VS 7.1% (24/338), χ2=55.796, P<0.001; 48.9% (161/329) VS 40.2% (136/338), χ2=4.071, P=0.044], while there were no significant differences in the control group [9.3% (37/398) VS 9.1% (37/406), χ2=0.329, P=0.566; 33.9% (135/398) VS 33.0% (134/496), χ2=3.616, P=0.057]. The withdrawal time in the quality control group increased with feedbacks[5.9 (3.9, 7.3) min VS 4.1 (2.8, 6.1) min, Z=6.965, P<0.001], while there was no significant difference in this variable in the control group [3.9 (2.7, 6.1) min VS 3.6 (2.6, 5.8) min, Z=1.355, P=0.175]. Conclusion:The intelligent performance measurement system for gastrointestinal endoscopy with feedbacks can monitor and improve the colonoscopic quality.