Eighteen male athletes participating in the basketball and volleyball teams in the organized university level were recruited (mean age 20.2 years, range 19 - 24 years, mean body mass index 22.31 kg/m2, range 20.34 - 24.91 kg/m2). Inclusion criterion was participating at least 3 times per week for at least 3 months in the game or practice prior to testing. No participant had musculoskeletal disorders within 3 months prior to data collection. The exclusion criterion was a history of serious injury or operation of lower extremities (e.g., ACL injury, fracture, patellar dislocation). All participants provided written informed consent before the experiment. The committee on human rights related to human experimentation of Mahidol University approved this study.
This study was conducted at the human performance laboratory at the Faculty of Physical Therapy, Mahidol University. A ViconTM 612 workstation (Oxford Metrics, Oxford, UK) comprising infrared cameras was used to collect the kinematic data at sampling frequency of 200 Hz. The sixteen reflective markers based on lower body model of Plug in Gait were placed bilaterally on the subject’s bony prominences at the anterior superior iliac spine (ASIS), posterior superior iliac spine (PSIS), thigh, lateral condyles of femur, shank, lateral malleolus, heel, and 2nd metatarsals. AMTI forceplate was synchronized with the ViconTM Motion system in order to determine the initial contact of landing phase.
Muscle activity was recorded by an electromyography (Noraxon Myosystem) at a frequency of 1000 Hz, which was synchronized with the Vicon
TM Motion system in order to quantify dynamic muscle function of vastus medialis (VM), vastus lateralis (VL), rectus femoris (RF), semitendinosus (ST), and biceps femoris (BF). The skin preparation over the bellies of muscle included shaving, abrading, and cleaning the skin with alcohol prior to electrode application. Inter-electrode impedance was less than 10 kiloohm. Cable sway was minimized by the use of adhesive tape. Surface electrodes were placed in pairs over the VM, VL, RF, ST, and BF muscles in dominant leg with an interelectrode spacing of 2 cm center to center according to recommendations of the European Recommendations for Surface Electromyography (www.seniam.org). The dominant leg was identified based on the preferred leg when performing a single- leg hop for a distance (
15).
Multi-direction jump-landing tests composed of four directions including forward (0°), 30° diagonal, 60° diagonal, and lateral (90°) directions. Participants were asked to jump from a 30 cm height wooden platform and land on the center of AMTI forceplate without falling. Three successful trials of jump landing in each direction were recorded. The research setting and complete details of the jump-landing protocol has been reported elsewhere (
3).
Second order recursive Butterworth filter was used for filtering the EMG data. EMG data from each muscle was filtered at low pass frequency 350 Hz and high pass frequency 30 Hz, respectively, and then, full-wave rectified. The high-pass corner frequency was determined from De Luca. In vigorous and spastic muscle activity, the corner frequency should be increased above 20 Hz (
16). The averaged EMG data was the primary outcome, which represents the muscle function to control tibial segment on femural segment. It was collected between 100 ms prior to foot contact and 300 ms after foot contact and normalized to percentage of maximum EMG amplitude during forward jump landing. Maximum EMG was calculated from the highest 20 ms muscle activity in the forward jump-landing trial. The purpose of maximum EMG was to normalize between jump-landing directions.
Sixteen marker coordinates were filtered by a fourth-order zero-lag Butterworth digital filter at cut-off frequency of 8 Hz. The cut-off frequencies were determined using the residual analysis technique (
17). Knee flexion angles during jump landing were obtained after the lower extremity model was constructed by the Plug-In Gait software. Knee flexion excursion was the secondary outcome, which represents the knee joint displacement responding to the external impact forces. Increasing knee flexion excursion during landing decreased forces and movements at the knee joint resulting less risk of knee injury. It was calculated as the difference between the knee flexion angle at foot contact and the peak angle of knee flexion during landing (
18).
Data tested by Kolmogorove-Smirnov Goodness of Fit Test was normally distributed. The statistical comparisons were performed with SPSS statistics 17. One-way repeated measures ANOVA was used to compare the main effect of direction. Pairwise comparisons were performed with Bonferroni correction. The level of statistical significance was set as a p-value less than 0.05.