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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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Objective: The aim of this study is to figure out the level of Functional Movement Screen (FMS) of 122 automobile manufacturing workers and to set the FMS score for predicting risk of musculoskeletal disorders.
Background: Although today"s industrial sites have been becoming automated rapidly, the risks of work-related musculoskeletal disorders (WMSDs) have been on the rise. In the case of WMSDs, it is important to control WMSDs at the early stage. Early detection of WMSDs is very important for the successful treatment. However, the medical examination puts a great financial burden on most workers. To reduce their burden, there is one test to check the musculoskeletal functional condition and to predict the risk of injury, which is called FMS.
Method: This research tested the FMS score of 122 workers at a motor company, and also conducted a questionnaire survey of individual characteristics and job characteristics.
Results: For the 122 subjects, the average score of FMS is 14.63±2.27. There is a negative correlation between FMS and their ages and BMI (p <0.05). FMS is higher when exercising regularly (p <0.05). The FMS scores of musculoskeletal disorder patients are lower than those of normal workers (p <0.05). While it is more likely to become a musculoskeletal disorder patient when FMS score is less than 14, it is more likely to become a normal worker when FMS score is more than or equal to 14.
Conclusion: According to the result of FMS test, there is a score difference between individuals with musculoskeletal disorders and normal ones. FMS scores can also predict and identify workers with risk of the musculoskeletal disorders.
Application: According to this study, FMS can be expected to have a positive effect on the prevention of WMSDs in worksites.
Background: Although today"s industrial sites have been becoming automated rapidly, the risks of work-related musculoskeletal disorders (WMSDs) have been on the rise. In the case of WMSDs, it is important to control WMSDs at the early stage. Early detection of WMSDs is very important for the successful treatment. However, the medical examination puts a great financial burden on most workers. To reduce their burden, there is one test to check the musculoskeletal functional condition and to predict the risk of injury, which is called FMS.
Method: This research tested the FMS score of 122 workers at a motor company, and also conducted a questionnaire survey of individual characteristics and job characteristics.
Results: For the 122 subjects, the average score of FMS is 14.63±2.27. There is a negative correlation between FMS and their ages and BMI (p <0.05). FMS is higher when exercising regularly (p <0.05). The FMS scores of musculoskeletal disorder patients are lower than those of normal workers (p <0.05). While it is more likely to become a musculoskeletal disorder patient when FMS score is less than 14, it is more likely to become a normal worker when FMS score is more than or equal to 14.
Conclusion: According to the result of FMS test, there is a score difference between individuals with musculoskeletal disorders and normal ones. FMS scores can also predict and identify workers with risk of the musculoskeletal disorders.
Application: According to this study, FMS can be expected to have a positive effect on the prevention of WMSDs in worksites.
목차
1. Introduction
2. Method
3. Results
4. Conclusion
References
참고문헌 (0)
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UCI(KEPA) : I410-ECN-0101-2017-530-000860008