Participants
Thirty female ballet dancers were recruited from a college dance department. The dancers were divided into two groups, namely a training group (N=17, age: 17.63 ± 1.46 years) and a control group (N=13; age: 17.08 ± 1.19 years). All of the dancers had a classical ballet training history of at least seven years (training group: 10.19 ± 2.48 years; control group: 8.77 ± 2.77). Participants with a history of balance and vestibular problems, or any other impairment which might potentially affect their balance, or any acute inflammation or pain that affected their performance at the physical screening stage, were excluded. The study was designed in accordance with ethical protocols and all the participants read and signed a formal consent form approved by the university Institutional Review Board prior to joining the study. One participant dropped out from the training program due to time conflicts and thus the training group was reduced to 16 dancers. In addition, four members of the training group reported previous ankle sprain more than 4.5 years ago and did not have another onset of ankle sprain since then.
Instrumentation
The joint position sense of the ballet dancers was evaluated using a bi-axis electrogoniometer (GA 150, Biometrics, UK) placed around the ankle joint. The electrogoniometer signals were recorded by instruNet software through an analog-to-digital box (iNet-100, instruNet, USA). The three-dimensional trajectories of the reflective markers placed on the participants were captured at a sampling rate of 100 frames per second by a videographic acquisition system consisting of eight CCD cameras (Eagles, Motion Analysis Corporation, USA). In addition, the center of pressure (COP) positions of the participants’ feet were detected by a force plate (9281B Kistler Instrument Corp., Switzerland) at a rate of 1000 samples per second. The videographic data and force plate data were time-synchronized to 1000 Hz using a linear interpolation method.
Procedure
All of the participants received joint position sense tests and balance ability tests during ballet movements at baseline and after six-week training. The training group underwent a six-week training program and home training program. By contrast, the control group had no additional intervention. Both groups continued their regular ballet training throughout the experimental period.
The absolute errors of the active ankle joint reposition sense were measured in 10° dorsiflexion, 20° plantarflexion, 10° eversion, 10° inversion and 20° inversion in the dominant leg. (Note that the dominant leg was determined as the leg used preferentially by the participants in performing forward hops.) In conducting the measurement process, the dancers sat on a custom-made chair with hip and knee flexion at 90° and trunk erected. The axis of motion in the sagittal plane (i.e., dorsiflexion and plantarflexion) was taken as the line passing through the lateral and medial malleolous with the ankle in the neutral position. By contrast, the motion of the ankle in the frontal plane (i.e., eversion and inversion) was tested with the ankle in slight plantarflexion. The participants were asked to close their eyes during the tests to avoid visual cues. The participant’s ankle was placed passively to the target angle and maintained at the placed angle for 5 seconds. The ankle was then repositioned passively to the initial position by the same investigator. Once the ankle was restored to the initial position, the participant was instructed to reposition the ankle actively to the target angle and maintain the ankle in that position for 5 seconds.
Reflective markers were placed on the bilateral anterior superior iliac spine (ASIS) and sacrum of all the participants in the training group. The participants were asked to stand on a large piece of paper in the ballet first position (Figure 1) and the outlines of the feet were then drawn on the paper. The foot length was defined as the distance between the tip of the second toe and the mid-heel position. Similarly, the turnout angle was defined as the angle between the lines constructed by the second toes and mid-heels of the two feet [20]. The participants put on ballet slippers and then performed 20-second releve en demi-pointe and 20-second grand-plie movements on the force plate. The ballet releve en demi-pointe movement commenced from the ballet first position and involved raising the heels up to demi-pointe within 5 seconds, maintaining this position for 10 seconds, and then returning to the initial position within 5 seconds (Figure 1). The grand-plie movement also began from the ballet first position, and involved deep squatting with heel-off within 5 seconds, maintaining the deep squatting position for 10 seconds, and then returning to the initial position within 5 seconds (Figure 2). For both movements, auditory cues were delivered by a metronome to control the movement speed. In addition, three successful trials were obtained for both movements.
The six-week integrated training program consisted of plyometric exercise, proprioception training, and core stability training (1 hour per day, 3 days per week) (Table 1). In every training session, the participants were asked to warm up by performing 5-minute cycling at a self-selected speed followed by bilateral hamstring and calf muscle stretching. The training group additionally received a home training program consisting of gastrocnemius and hamstring stretching, ankle muscle strengthening, core muscle training, and plyometric exercises (Table 2).
Data reduction and analysis
Data reduction was performed using a self-written algorithm programmed in MATLAB 7.0 (The Mathworks Inc., USA). The absolute errors of the ankle joint reposition sense were determined at 10° dorsiflexion, 20° plantarflexion, 10° eversion, 10° inversion and 20° inversion in the dominant leg. In assessing the ballet movements, the vertical heights of the ASIS and sacrum markers were used to define the different phases in the grand-plie and releve en demi-pointe movements. For analysis purposes, the grand-plie movement was divided into five phases, namely a 5-second lowering phase from the initiation of movement to the lowest sacrum position; a 10-second squatting phase (divided into three sub-phases: pre-equilibrium, equilibrium and post-equilibrium) with the pelvic markers in the lowest position; and a 5-second rising phase from the squatting position to the original standing position. The releve en demi-pointe movement was similarly divided into five phases, namely rising, pre-equilibrium, equilibrium, post-equilibrium, and lowering.
The COP positions during the grand-plie and releve en demi-pointe movements were determined from the virtual acting points of the ground reaction forces. The average speed of the COP in each phase of the movement was computed as the total trajectory length traveled by the COP divided by the corresponding time. The ellipse area was determined as the area enclosing 95% of the COP positions, and was formed by linear curve fitting of the axes. The COP displacements were normalized to the corresponding turnout angle (θ) and average foot length (l) to eliminate the influence of inter-participant differences, i.e.,
where NCOPAP denotes the normalized COP displacement in the anterior-posterior direction, while NCOPML denotes the normalized COP displacement in the medial-lateral direction. The COP parameters for analysis included the average COP speed, the COP 95% ellipse area, the normalized maximal COP displacement, and the standard deviation (SD) of the COP displacement in the anterior-posterior and medial-lateral directions in each phase of the corresponding ballet movement.
The variables of interest included the absolute errors of the active joint reposition sense of the ankle and the aforementioned COP measures. An independent student t-test was used to compare the baseline between the two groups prior to training. In addition, the paired student t-test was used to test for differences between the pre-training test and post-training test results for the training group. The significance level was set as 0.05 in every case. All of the statistical analyses were performed using commercial SPSS software (Vs. 17.0; SPSS Inc., USA).