Istanbul University
Istanbul, Fatih, Turkey (Türkiye)
NCT Number: NCT05484778
Functional Hop tests and balance measurements are frequently used to decide on returning to sports after lower extremity injuries. Although the athletes show proficiency in these tests and measurements, re-injuries occur when returning to sports. The causes of these re-injuries are mostly functional deficiencies such as inadequate neuromuscular control and stability.
In the competition or sports environment, especially in team games, the athlete also shows cognitive performance, such as communication with teammates and following the game, which are included in the game setup, as well as the physical performance. Performing many tasks or performances at the same time divides the focus of attention on the activities performed, and if the person cannot adequately meet the attention demands, the quality of one or more of the tasks performed will deteriorate. As the level of expertise in the sport increases, the athlete tends to manage his posture, balance and movement with automatic postural control and can focus his attention on a new task.
The concept of focus of attention has been evaluated from different perspectives over time. If it is examined in terms of direction; It is divided into two as the internal focus of attention, which is used by focusing on body movements during the performance of the person, and the external focus of attention, which is used by focusing on the effect of the movement during the performance of the person. As the investigators planned in this study, a second cognitive task assigned to the participant simultaneously during his or her physical performance acts as an external focus of attention, allowing movement control during performance to be carried out by unconscious or automatic processes.
The investigators's aim; It is to examine the balance and functional hop tests that the investigator will apply in athletes by combining them with a simultaneous dual cognitive task that will reflect the field conditions more realistically. In the meantime, investigators think that with the sharing of our results with the literature, it can contribute to both the decision-making processes to return to sports after injury and preventive rehabilitation programs.
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Notify Me14 year–30 year
All sexes
Interventional
Not applicable
Istanbul, Fatih, Turkey (Türkiye)
As a result of this study, the possible changes in balance and functional jump performances of athletes who have previously had unilateral lower extremity injuries will be examined with the dual-task paradigm. In line with these results, it will be possible to comment on the balance and functional hop test performances of the athletes together with the cognitive task. Balance measurements and functional performance evaluations are used in the decision to return to sports after previous injuries. After the measurements, the affected and unaffected side are compared and an evaluation is made. However, even with these tests and evaluations, athletes are injured again when they return to sports. One of the reasons for this may be that the protective and controlled environment applied during rehabilitation is less challenging and requires less attention when compared to the competitive and sports environment in which the person is involved. For this reason, the investigator think that the evaluations and tests used in the decision to return to sports include both cognitive and physical performance by forcing the attention demands of the person, and it may be more effective in determining the real performance of the person. Thus, the use of physical assessments applied with simultaneous cognitive tasks can be used in the evaluation of the athletes during the return to sports by calculating the possible measurement differences between the affected and unaffected sides compared to the classical procedure, and in the planning of preventive rehabilitation programs of the athletes if there is a decrease in performance in the measurements applied as a dual task. It also contributes to studies that examine performance together with the dual task previously applied to athletes. Secondly, by examining the relationship between balance and functional hop test parameters, it will be determined how effective the independent variables are on each other. If the performance of individuals who have had a previous injury change with the dual task and the mechanisms of these possible changes are known, protective and performance-enhancing strategies can be developed, the cognitive and physical preparation of the athletes for the sports environment can be accelerated, and the risks of re-injury of the athletes can be reduced, as a result of which medical costs can be reduced.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The dual task methodology is a testing model that requires one person to perform two tasks at the same time. The dual task is divided into two as motor-motor or motor-cognitive. Dual tasks provide an opportunity to examine the attention demands of both tasks and allow possible interference to be observed. The idea behind this design is that central processing capacity has a limit and must be distributed among concurrent tasks.
Time frame: day 1
For balance measurement, Athlete Single Leg Stability, one of the test modes in the Biodex Balance System SD balance device, was preferred. The participant took a position with her/his eyes open, the foot of the untested leg resting on the back of the ankle of the tested leg, her arms crossed over her chest, and the balance center in the middle of the platform most comfortably. The analysis protocol was applied at 5 level, consisting of 20 seconds, 1 sample and 3 test repetitions, with a 10-second rest between repetitions. General stability index (OSI), anterior/posterior stability index (APSI), medial/lateral stability index (MLSI) were recorded.
The unit of data obtained in this device is the balance index. And values close to 0 indicate high stability.
Time frame: day 1
For balance measurement, Athlete Single Leg Stability, one of the test modes in the Biodex Balance System SD balance device, was preferred. The participant took a position with her/his eyes open, the foot of the untested leg resting on the back of the ankle of the tested leg, her arms crossed over her chest, and the balance center in the middle of the platform most comfortably. The analysis protocol was applied at 5 level, consisting of 20 seconds, 1 sample and 3 test repetitions, with a 10-second rest between repetitions. General stability index (OSI), anterior/posterior stability index (APSI), medial/lateral stability index (MLSI) were recorded.
The unit of data obtained in this device is the balance index. And values close to 0 indicate high stability.
Time frame: day 1
For balance measurement, Athlete Single Leg Stability, one of the test modes in the Biodex Balance System SD balance device, was preferred. The participant took a position with her/his eyes open, the foot of the untested leg resting on the back of the ankle of the tested leg, her arms crossed over her chest, and the balance center in the middle of the platform most comfortably. The analysis protocol was applied at 5 level, consisting of 20 seconds, 1 sample and 3 test repetitions, with a 10-second rest between repetitions. General stability index (OSI), anterior/posterior stability index (APSI), medial/lateral stability index (MLSI) were recorded.
The unit of data obtained in this device is the balance index. And values close to 0 indicate high stability.
Time frame: day 1
For balance measurement, Athlete Single Leg Stability, one of the test modes in the Biodex Balance System SD balance device, was preferred. The participant took a position with her/his eyes open, the foot of the untested leg resting on the back of the ankle of the tested leg, her arms crossed over her chest, and the balance center in the middle of the platform most comfortably. The analysis protocol was applied at 5 level, consisting of 20 seconds, 1 sample and 3 test repetitions, with a 10-second rest between repetitions. General stability index (OSI), anterior/posterior stability index (APSI), medial/lateral stability index (MLSI) were recorded.
The unit of data obtained in this device is the balance index. And values close to 0 indicate high stability.
Time frame: day 1
For balance measurement, Athlete Single Leg Stability, one of the test modes in the Biodex Balance System SD balance device, was preferred. The participant took a position with her/his eyes open, the foot of the untested leg resting on the back of the ankle of the tested leg, her arms crossed over her chest, and the balance center in the middle of the platform most comfortably. The analysis protocol was applied at 5 level, consisting of 20 seconds, 1 sample and 3 test repetitions, with a 10-second rest between repetitions. General stability index (OSI), anterior/posterior stability index (APSI), medial/lateral stability index (MLSI) were recorded.
The unit of data obtained in this device is the balance index. And values close to 0 indicate high stability.
Time frame: day 1
For balance measurement, Athlete Single Leg Stability, one of the test modes in the Biodex Balance System SD balance device, was preferred. The participant took a position with her/his eyes open, the foot of the untested leg resting on the back of the ankle of the tested leg, her arms crossed over her chest, and the balance center in the middle of the platform most comfortably. The analysis protocol was applied at 5 level, consisting of 20 seconds, 1 sample and 3 test repetitions, with a 10-second rest between repetitions. General stability index (OSI), anterior/posterior stability index (APSI), medial/lateral stability index (MLSI) were recorded.
The unit of data obtained in this device is the balance index. And values close to 0 indicate high stability.
Time frame: day 1
Triple hop for distance ,Crossover hop for distance-CHD -In these two tests, the distance between the starting line and the heel line in step 3 was measured. Normalization was done by dividing this distance (m) by the athlete's height (m).
The results of this measurement method have certain cut-off values depending on gender and age. In this study, the performance was not compared according to the cut-off values, but between the groups.
Time frame: day 1
Triple hop for distance ,Crossover hop for distance-CHD -In these two tests, the distance between the starting line and the heel line in step 3 was measured. Normalization was done by dividing this distance (m) by the athlete's height (m).
The results of this measurement method have certain cut-off values depending on gender and age. In this study, the performance was not compared according to the cut-off values, but between the groups.
Time frame: day 1
6m hop for timed-6MTH: The participant was asked to jump on one leg as fast as possible from the marked start point to the finish point, which is 6 meters away from the marked start point. The time from the start to the end of 6 meters was recorded.
Time frame: day 1
Triple hop for distance ,Crossover hop for distance-CHD -In these two tests, the distance between the starting line and the heel line in step 3 was measured. Normalization was done by dividing this distance (m) by the athlete's height (m).
Time frame: day 1
Triple hop for distance ,Crossover hop for distance-CHD -In these two tests, the distance between the starting line and the heel line in step 3 was measured. Normalization was done by dividing this distance (m) by the athlete's height (m).
Time frame: day 1
6m hop for timed-6MTH: The participant was asked to jump on one leg as fast as possible from the marked start point to the finish point, which is 6 meters away from the marked start point. The time from the start to the end of 6 meters was recorded.
Time frame: day 1
The limb symmetry index (LSI) was calculated to evaluate the difference between the two legs in all functional tests. Calculation for the case group; LSI = Affected leg score ÷ Unaffected leg score × 100 This calculation for the control group; LSI= Worse score ÷ Better score × 100.
Time frame: day 1
The limb symmetry index (LSI) was calculated to evaluate the difference between the two legs in all functional tests. Calculation for the case group; LSI = Affected leg score ÷ Unaffected leg score × 100 This calculation for the control group; LSI= Worse score ÷ Better score × 100.
Time frame: day 1
The limb symmetry index (LSI) was calculated to evaluate the difference between the two legs in all functional tests. Calculation for the case group; LSI = Affected leg score ÷ Unaffected leg score × 100 This calculation for the control group; LSI= Worse score ÷ Better score × 100.
Time frame: day 1
For balance measurement, Athlete Single Leg Stability, one of the test modes in the Biodex Balance System SD balance device, was preferred. The participant took a position with her/his eyes open, the foot of the untested leg resting on the back of the ankle of the tested leg, her arms crossed over her chest, and the balance center in the middle of the platform most comfortably. The analysis protocol was applied at 5 level, consisting of 20 seconds, 1 sample and 3 test repetitions, with a 10-second rest between repetitions. General stability index (OSI), anterior/posterior stability index (APSI), medial/lateral stability index (MLSI) were recorded.
The unit of data obtained in this device is the balance index. And values close to 0 indicate high stability.
Time frame: day 1
For balance measurement, Athlete Single Leg Stability, one of the test modes in the Biodex Balance System SD balance device, was preferred. The participant took a position with her/his eyes open, the foot of the untested leg resting on the back of the ankle of the tested leg, her arms crossed over her chest, and the balance center in the middle of the platform most comfortably. The analysis protocol was applied at 5 level, consisting of 20 seconds, 1 sample and 3 test repetitions, with a 10-second rest between repetitions. General stability index (OSI), anterior/posterior stability index (APSI), medial/lateral stability index (MLSI) were recorded.
The unit of data obtained in this device is the balance index. And values close to 0 indicate high stability.
Time frame: day 1
For balance measurement, Athlete Single Leg Stability, one of the test modes in the Biodex Balance System SD balance device, was preferred. The participant took a position with her/his eyes open, the foot of the untested leg resting on the back of the ankle of the tested leg, her arms crossed over her chest, and the balance center in the middle of the platform most comfortably. The analysis protocol was applied at 5 level, consisting of 20 seconds, 1 sample and 3 test repetitions, with a 10-second rest between repetitions. General stability index (OSI), anterior/posterior stability index (APSI), medial/lateral stability index (MLSI) were recorded.
The unit of data obtained in this device is the balance index. And values close to 0 indicate high stability.
Time frame: day 1
For balance measurement, Athlete Single Leg Stability, one of the test modes in the Biodex Balance System SD balance device, was preferred. The participant took a position with her/his eyes open, the foot of the untested leg resting on the back of the ankle of the tested leg, her arms crossed over her chest, and the balance center in the middle of the platform most comfortably. The analysis protocol was applied at 5 level, consisting of 20 seconds, 1 sample and 3 test repetitions, with a 10-second rest between repetitions. General stability index (OSI), anterior/posterior stability index (APSI), medial/lateral stability index (MLSI) were recorded.
The unit of data obtained in this device is the balance index. And values close to 0 indicate high stability.
Time frame: day 1
For balance measurement, Athlete Single Leg Stability, one of the test modes in the Biodex Balance System SD balance device, was preferred. The participant took a position with her/his eyes open, the foot of the untested leg resting on the back of the ankle of the tested leg, her arms crossed over her chest, and the balance center in the middle of the platform most comfortably. The analysis protocol was applied at 5 level, consisting of 20 seconds, 1 sample and 3 test repetitions, with a 10-second rest between repetitions. General stability index (OSI), anterior/posterior stability index (APSI), medial/lateral stability index (MLSI) were recorded.
The unit of data obtained in this device is the balance index. And values close to 0 indicate high stability.
Time frame: day 1
For balance measurement, Athlete Single Leg Stability, one of the test modes in the Biodex Balance System SD balance device, was preferred. The participant took a position with her/his eyes open, the foot of the untested leg resting on the back of the ankle of the tested leg, her arms crossed over her chest, and the balance center in the middle of the platform most comfortably. The analysis protocol was applied at 5 level, consisting of 20 seconds, 1 sample and 3 test repetitions, with a 10-second rest between repetitions. General stability index (OSI), anterior/posterior stability index (APSI), medial/lateral stability index (MLSI) were recorded.
The unit of data obtained in this device is the balance index. And values close to 0 indicate high stability.
Time frame: day 1
Triple hop for distance ,Crossover hop for distance-CHD -In these two tests, the distance between the starting line and the heel line in step 3 was measured. Normalization was done by dividing this distance (m) by the athlete's height (m).
Time frame: day 1
Triple hop for distance ,Crossover hop for distance-CHD -In these two tests, the distance between the starting line and the heel line in step 3 was measured. Normalization was done by dividing this distance (m) by the athlete's height (m).
Time frame: day 1
6m hop for timed-6MTH: The participant was asked to jump on one leg as fast as possible from the marked start point to the finish point, which is 6 meters away from the marked start point. The time from the start to the end of 6 meters was recorded.
Time frame: day 1
Triple hop for distance ,Crossover hop for distance-CHD -In these two tests, the distance between the starting line and the heel line in step 3 was measured. Normalization was done by dividing this distance (m) by the athlete's height (m).
Time frame: day 1
Triple hop for distance ,Crossover hop for distance-CHD -In these two tests, the distance between the starting line and the heel line in step 3 was measured. Normalization was done by dividing this distance (m) by the athlete's height (m).
Time frame: day 1
Time frame: day 1
The limb symmetry index (LSI) was calculated to evaluate the difference between the two legs in all functional tests. Calculation for the case group; LSI = Affected leg score ÷ Unaffected leg score × 100 This calculation for the control group; LSI= Worse score ÷ Better score × 100.
Time frame: day 1
The limb symmetry index (LSI) was calculated to evaluate the difference between the two legs in all functional tests. Calculation for the case group; LSI = Affected leg score ÷ Unaffected leg score × 100 This calculation for the control group; LSI= Worse score ÷ Better score × 100.
Time frame: day 1
The limb symmetry index (LSI) was calculated to evaluate the difference between the two legs in all functional tests. Calculation for the case group; LSI = Affected leg score ÷ Unaffected leg score × 100 This calculation for the control group; LSI= Worse score ÷ Better score × 100.
Istanbul University
Other
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