首页|Developing and validating the personal risk assessment of musculoskeletal disorders (PRAMUD) tool among workers of a steel foundry
Developing and validating the personal risk assessment of musculoskeletal disorders (PRAMUD) tool among workers of a steel foundry
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NSTL
Elsevier
Introduction: Different physical and personal items can influence the occurrence of musculoskeletal disorders. The available tools don't use all of them in assessing the risk. Therefore, this study was aimed to develop a personal risk assessment of musculoskeletal disorders (PRAMUD) tool among the workers and evaluate its validation. Materials and methods: This cross-sectional study was conducted on 300 male employees in a steel factory. The information related to personal items was collected by interviewing the participants. The data of the physical items were gathered by observing their duties and conversing with them. Also, they were asked to fill out the Persian version of Cornell musculoskeletal discomfort questionnaires (CMDQ). The effect coefficients computed by structural equation modeling (SEM) were applied to develop the PRAMUD equation. Then, the final score was classified by receiver operating characteristic (ROC), and the PRAMUD method was validated via linear regression analysis.Results: Personal and physical items, with total coefficients of 0.377 and 0.546, could significantly affect the musculoskeletal symptoms, respectively. The calculated coefficients of the items were used to develop the PRAMUD equation. The final score of the method was categorized into four levels by optimal cut-off points of 12.22, 15.21, and 20.86. The PRAMUD tool could justify 76 and 70 percent of the variations of musculoskeletal symptoms in internal and external validity, respectively.Conclusion: Personal and physical parameters play important roles in predicting musculoskeletal disorders. The method developed by them could provide a more accurate forecast of the risk levels of these disorders.
NSTL
Elsevier
