A Systematic Review of Risk Factor Associate with Musculoskeletal Disorder: Biomechanical and Psychosocial Factor

Ruzairi, Khairulhafiy Muhammad; Jamaludin, Balqis; Sukadarin, Ezrin Hani; Widia, Mirta

doi:10.1007/978-981-16-4115-2_54

Cited by 3 publications

(4 citation statements)

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“…Bones, joints, muscles, tendons, and other tissues that make up the musculoskeletal system, which is responsible for movement and support of the body (Joshi and Deshpande, 2020). When a person performs the same motion over and over again, it can put excessive strain on specific muscles, tendons, and joints, leading to strain injuries such as tendinitis, carpal tunnel syndrome, and rotator cuff injuries (Ruzairi et al 2022).…”

Section: Discussionmentioning

confidence: 99%

“…To achieve their objectives, the majority among staff members must exert considerable effort. They frequently expect to be compensated by management for their efforts (Ruzairi et al 2022).…”

Section: Discussionmentioning

confidence: 99%

“…MSDs can cause pain, stiffness, weakness, and a limited range of motion. (Ruzairi K et al 2022). Quick and rapid movements might be dangerous for those who have musculoskeletal diseases.…”

Section: Physical Risk Factorsmentioning

confidence: 99%

“…To achieve their objectives, the majority of employees must exert considerable effort. They frequently expect to be compensated by management for their efforts (Ruzairi et al 2022). However, the majority of organizations do not present any incentives to their employees in order to honor their dedication.…”

Section: Psychological Risk Factorsmentioning

confidence: 99%

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Development of Musculoskeletal Disease Risk Factor Assessment (MDRFA) Model for the Factory Workers in Bangladesh

Islam,

Shahriar Hossain,

Shams

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Musculoskeletal diseases can be dependent on numerous environmental and individual factors. The existing methods leave out several important factors during the calculation of risks. Hence, this paper has the purpose to create and examine a way for employees to estimate their own risk of developing musculoskeletal problems employing the Musculoskeletal Disease Risk Factor Assessment (MDRFA) approach. Exactly 112 male cement manufacturing workers participated in this cross-sectional investigation. Participants were interviewed to acquire data about their own possessions. Information on the objects was gleaned through perceiving their work and talking to them. Additionally, they were given the Cornell questionnaires for musculoskeletal pain and instructed to complete them out in Persian (CMDQ). A model was developed using Structural Equation Modeling (SEM) effect coefficients. This technique was verified using a linear regression analysis, and the final score was categorized using the Receiver Operating Characteristic (ROC). The musculoskeletal symptoms are seen to be considerably influenced by either the individual's own characteristics (total coefficient of 0.27) or by physical (total coefficient of 0.51) and psychological (total coefficient of 0.11). Items' computed coefficients were utilized to formulate the MDRFA equation. The ideal cut-off values for the final score of the approach were 14.32, 18.56, and 22.59, creating four distinct categories. The MDRFA approach could adequately explain 73% of risks, but the Rapid Entire Body Assessment (REBA) approach could only justify 51% of risks. Prediction of musculoskeletal disorders relies heavily on personal, physical and psychological characteristics. This methodology may allow for more precise prediction of the occurrence of certain diseases.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…MSDs can cause pain, stiffness, weakness, and a limited range of motion. (Ruzairi K et al 2022). Quick and rapid movements might be dangerous for those who have musculoskeletal diseases.…”

Section: Physical Risk Factorsmentioning

confidence: 99%

Section: Psychological Risk Factorsmentioning

confidence: 99%

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