Volume 28, Issue 7 (10-2021)
RJMS 2021, 28(7): 125-137 |
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Abedini M, Hadadnezhad M, Eftekhari F. Investigating the predictive role of postural, biomechanical and neuromuscular defects in the incidence of lower limb injury in active women: Cohort study. RJMS 2021; 28 (7) :125-137
URL: http://rjms.iums.ac.ir/article-1-5331-en.html
URL: http://rjms.iums.ac.ir/article-1-5331-en.html
, marjanabedini.at@gmail.com
Abstract: (2981 Views)
Background & Aims: Increasing participation in sports activities increases the number of people at risk of injury. These injuries should be properly identified and treated, in order to provide the opportunity to participate again in sports activities. Increasing awareness of hwo injures occur by identifying risk factors and their predictive role can reduce the likelihood of their occurrence and even prevent many of these injuries. resercher believe that the lower extremity is the most prone position for injury. According to studies, a variety of internal factors predispose athletes to injury. These factors include disproportionate ratios of strength and endurance of agonist and antistatic muscles, structural abnormalities, gender, physical fitness, and history of injury. Recently, other factors including postural control, neuromuscular control, core instability, and muscle imbalances have also been identified as contributing factors to injuries. Recently, due to the importance of injury prevention, a lot of research has been done to identify risk factors for injury. Previous research has examined the various factors associated with lower limb injury separately. Regardless of the differences, a study is hardly available that comprehensively examines the factors: postural (TTB) time-to-boundary stability and neuromuscular defects. The purpose of this study was to evaluate the predictive role of postural, biomechanical and neuromuscular factors in the incidence of lower limb injury in active women.
Methods: 63 active woman students were selected according to the criteria of entering the research purposefully. The research variables were divided into three groups: neuromuscular, biomechanical (TTB), postural (height of the inner leg of the arch, distance between the knee condyles, the interval between the ankles, the angle of the quadriceps). The data collection form was used to collect information about injuries, force plate to measure TTB, Colice to measure the distance between the condylars and the distance between the ankles, a simple goniometer for measuring angles Q and a digital camera to determine the neuromuscular defects. The researcher participated in the training and competition sessions to complete the injury form in order to record the degree of injury to subjects during a term.
Finally, for statistical analysis, Pearson correlation coefficient test was used to determine the relationship between variables and regression test to predict effective variables at a significance level of 95%. The implementation method of the present study was that first the participants were asked to fill in the consent form and personal information. Before filling out the consent form, participants were given a full explanation of the process. Then the measurements of the height of the inner longitudinal arc were performed by a goniometer. Then the measurements of the height of the inner longitudinal arc were performed by a goniometer. The distance between the condyles of the thighs and the inner ankles of the foot was then measured by a caliper.
To measure postural stability with the eyes closed, three 10-second standing attempts were made on the force plate with the foot of the mold. Subjects stood on a fixed location on the force plate in all attempts. Forces and torque were recorded at 200Hz and 2000 COP points were calculated for each attempt in each time series; This data was then filtered with a four-zero-order filter, a low-pass filter with a cutting frequency of 5Hz.
To assess neuromuscular defects, the subjects performed a vine jump test for 10 seconds. The only information given to the person was the beginning and end of the movement and how to stand on the lines. The diagnosis of neuromuscular defects was made by observation, which was filmed from two front and side views of the person, and the desired sequences were extracted from the film and examined at angles. How to score This test was done using a 10-point scoring form, used in valid articles.
Results: REsults showed that the Pearson correlation coefficient between the anterior-posterior TTB and the degree of injury (r = 0.295), between the height of the arch and the degree of injury (r = -0.239), Q angle and injury (301) / 0 = r, ankles and injury (r = 0.331), neuromuscular factors and damage (r = 0.42) were significant. Regarding the muscle neuromuscular factor (β = 0.81). Regarding the medioletral variable, the results showed that there was no significant relationship with the rate of injuries. In relation to the height of the arch of the foot, the obtained value is significant for the Pearson correlation coefficient between the height of the arch of the foot and the amount of injury (r = 0.263). Therefore, it is inferred that there is a negative and significant relationship between increased leg arch and the rate of lower limb injury in active women. Also, according to the results, there is no relationship between the distance of the condyles and the amount of lower limb damage. The value obtained for Pearson correlation coefficient There is a positive and significant relationship between neuromuscular factors and th rate t of injuries (r = 0.793). Thus, as the rate of neuromuscular factor deficiency increases, so does the amount of injures. Regarding the medioletral variable, the results showed that there was no significant relationship with the rate of injuries. In relation to the height of the arch, the obtained value is significant for the Pearson correlation coefficient between the height of the arch of the foot and the amount of injury (r = 0.263). Therefore, it is inferred that there is a negative and significant relationship between increased leg arch and the rate of lower limb injury in active women. Also, according to the results, it was found that there is no relationship between the distance of the condyles and the amount of lower limb injuries. The value obtained for Pearson correlation coefficient There is a positive and significant relationship between neuromuscular factors and the rate of injuries (r = 0.793). Thus, as the rate of neuromuscular factor deficiency increases, so does the rate of injuries.
Conclusion: According to the findings of the study, women with neuromuscular defects most likely to be injured. Since neuromuscular injuries are the most predictive power, it seems that attention to muscle neuromuscular factors to prevent injury before the season of games is practical.
Methods: 63 active woman students were selected according to the criteria of entering the research purposefully. The research variables were divided into three groups: neuromuscular, biomechanical (TTB), postural (height of the inner leg of the arch, distance between the knee condyles, the interval between the ankles, the angle of the quadriceps). The data collection form was used to collect information about injuries, force plate to measure TTB, Colice to measure the distance between the condylars and the distance between the ankles, a simple goniometer for measuring angles Q and a digital camera to determine the neuromuscular defects. The researcher participated in the training and competition sessions to complete the injury form in order to record the degree of injury to subjects during a term.
Finally, for statistical analysis, Pearson correlation coefficient test was used to determine the relationship between variables and regression test to predict effective variables at a significance level of 95%. The implementation method of the present study was that first the participants were asked to fill in the consent form and personal information. Before filling out the consent form, participants were given a full explanation of the process. Then the measurements of the height of the inner longitudinal arc were performed by a goniometer. Then the measurements of the height of the inner longitudinal arc were performed by a goniometer. The distance between the condyles of the thighs and the inner ankles of the foot was then measured by a caliper.
To measure postural stability with the eyes closed, three 10-second standing attempts were made on the force plate with the foot of the mold. Subjects stood on a fixed location on the force plate in all attempts. Forces and torque were recorded at 200Hz and 2000 COP points were calculated for each attempt in each time series; This data was then filtered with a four-zero-order filter, a low-pass filter with a cutting frequency of 5Hz.
To assess neuromuscular defects, the subjects performed a vine jump test for 10 seconds. The only information given to the person was the beginning and end of the movement and how to stand on the lines. The diagnosis of neuromuscular defects was made by observation, which was filmed from two front and side views of the person, and the desired sequences were extracted from the film and examined at angles. How to score This test was done using a 10-point scoring form, used in valid articles.
Results: REsults showed that the Pearson correlation coefficient between the anterior-posterior TTB and the degree of injury (r = 0.295), between the height of the arch and the degree of injury (r = -0.239), Q angle and injury (301) / 0 = r, ankles and injury (r = 0.331), neuromuscular factors and damage (r = 0.42) were significant. Regarding the muscle neuromuscular factor (β = 0.81). Regarding the medioletral variable, the results showed that there was no significant relationship with the rate of injuries. In relation to the height of the arch of the foot, the obtained value is significant for the Pearson correlation coefficient between the height of the arch of the foot and the amount of injury (r = 0.263). Therefore, it is inferred that there is a negative and significant relationship between increased leg arch and the rate of lower limb injury in active women. Also, according to the results, there is no relationship between the distance of the condyles and the amount of lower limb damage. The value obtained for Pearson correlation coefficient There is a positive and significant relationship between neuromuscular factors and th rate t of injuries (r = 0.793). Thus, as the rate of neuromuscular factor deficiency increases, so does the amount of injures. Regarding the medioletral variable, the results showed that there was no significant relationship with the rate of injuries. In relation to the height of the arch, the obtained value is significant for the Pearson correlation coefficient between the height of the arch of the foot and the amount of injury (r = 0.263). Therefore, it is inferred that there is a negative and significant relationship between increased leg arch and the rate of lower limb injury in active women. Also, according to the results, it was found that there is no relationship between the distance of the condyles and the amount of lower limb injuries. The value obtained for Pearson correlation coefficient There is a positive and significant relationship between neuromuscular factors and the rate of injuries (r = 0.793). Thus, as the rate of neuromuscular factor deficiency increases, so does the rate of injuries.
Conclusion: According to the findings of the study, women with neuromuscular defects most likely to be injured. Since neuromuscular injuries are the most predictive power, it seems that attention to muscle neuromuscular factors to prevent injury before the season of games is practical.
Keywords: Postural factors, Noromascular disorders, Lower limb injury, Postural stability, Active women
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