A Prospective Cohort Study to Predict Running-Related Lower Limb Sports Injuries Using Gait Kinematic Parameters
The study purpose was to follow a prospective cohort study design to use gait kinematic parameters to identify the risk factors and to develop a statistical model to predict running-related lower limb injuries of sportspersons. Materials and methods. BTS G-WALK® gait analysis system was used to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
OVS LLC
2021-03-01
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| Series: | Physical Education Theory and Methodology |
| Subjects: | |
| Online Access: | https://tmfv.com.ua/journal/article/view/1470 |
| _version_ | 1797935079822983168 |
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| author | Hemantajit Gogoi Yajuvendra Singh Rajpoot Poli Borah |
| author_facet | Hemantajit Gogoi Yajuvendra Singh Rajpoot Poli Borah |
| author_sort | Hemantajit Gogoi |
| collection | DOAJ |
| description | The study purpose was to follow a prospective cohort study design to use gait kinematic parameters to identify the risk factors and to develop a statistical model to predict running-related lower limb injuries of sportspersons.
Materials and methods. BTS G-WALK® gait analysis system was used to collect gait kinematic data of 87 subjects from an institute of physical education and sports science.
The subjects were followed for a full academic season after which the researcher inquired about their injury occurrences. Binary logistic regression was used to develop a prediction model to predict lower limb injuries of sportspersons.
Results. The result of the study revealed that increasing Range of Obliquity, Range of Tilt and Range of Rotation were associated with increased likelihood of future running-related lower limb injury. However, the lower Symmetry Index was associated with increase in the likelihood of future running-related lower limb injury.
Conclusions. The study confirmed that it is possible to predict injury, but for practical implication further research is essential with a bigger sample size. |
| first_indexed | 2024-04-10T18:09:55Z |
| format | Article |
| id | doaj.art-f6248bb7009843449c573983334eb463 |
| institution | Directory Open Access Journal |
| issn | 1993-7989 1993-7997 |
| language | English |
| last_indexed | 2024-04-10T18:09:55Z |
| publishDate | 2021-03-01 |
| publisher | OVS LLC |
| record_format | Article |
| series | Physical Education Theory and Methodology |
| spelling | doaj.art-f6248bb7009843449c573983334eb4632023-02-02T11:42:37ZengOVS LLCPhysical Education Theory and Methodology1993-79891993-79972021-03-01211697610.17309/tmfv.2021.1.091470A Prospective Cohort Study to Predict Running-Related Lower Limb Sports Injuries Using Gait Kinematic ParametersHemantajit Gogoi0Yajuvendra Singh Rajpoot1Poli Borah2Lakshmibai National Institute of Physical EducationLakshmibai National Institute of Physical EducationLakshmibai National Institute of Physical EducationThe study purpose was to follow a prospective cohort study design to use gait kinematic parameters to identify the risk factors and to develop a statistical model to predict running-related lower limb injuries of sportspersons. Materials and methods. BTS G-WALK® gait analysis system was used to collect gait kinematic data of 87 subjects from an institute of physical education and sports science. The subjects were followed for a full academic season after which the researcher inquired about their injury occurrences. Binary logistic regression was used to develop a prediction model to predict lower limb injuries of sportspersons. Results. The result of the study revealed that increasing Range of Obliquity, Range of Tilt and Range of Rotation were associated with increased likelihood of future running-related lower limb injury. However, the lower Symmetry Index was associated with increase in the likelihood of future running-related lower limb injury. Conclusions. The study confirmed that it is possible to predict injury, but for practical implication further research is essential with a bigger sample size.https://tmfv.com.ua/journal/article/view/1470sports injurylower limb injurygait kinematicscohort studyinjury predictionlogistic regression |
| spellingShingle | Hemantajit Gogoi Yajuvendra Singh Rajpoot Poli Borah A Prospective Cohort Study to Predict Running-Related Lower Limb Sports Injuries Using Gait Kinematic Parameters Physical Education Theory and Methodology sports injury lower limb injury gait kinematics cohort study injury prediction logistic regression |
| title | A Prospective Cohort Study to Predict Running-Related Lower Limb Sports Injuries Using Gait Kinematic Parameters |
| title_full | A Prospective Cohort Study to Predict Running-Related Lower Limb Sports Injuries Using Gait Kinematic Parameters |
| title_fullStr | A Prospective Cohort Study to Predict Running-Related Lower Limb Sports Injuries Using Gait Kinematic Parameters |
| title_full_unstemmed | A Prospective Cohort Study to Predict Running-Related Lower Limb Sports Injuries Using Gait Kinematic Parameters |
| title_short | A Prospective Cohort Study to Predict Running-Related Lower Limb Sports Injuries Using Gait Kinematic Parameters |
| title_sort | prospective cohort study to predict running related lower limb sports injuries using gait kinematic parameters |
| topic | sports injury lower limb injury gait kinematics cohort study injury prediction logistic regression |
| url | https://tmfv.com.ua/journal/article/view/1470 |
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