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Aboalfazl Komeili1 
, Mehran Rostami2 , Amir Masoud Ansari1 , Mohsen Khosravi1 , Mohsen Pour Sadeghiyan3 , Ali Salehi Sahlabadi *4
, Mehran Rostami2 , Amir Masoud Ansari1 , Mohsen Khosravi1 , Mohsen Pour Sadeghiyan3 , Ali Salehi Sahlabadi *4
1- Department of Occupational Health Engineering and Safety, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
2- Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
3- Social Determinants of Health Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
4- Department of Occupational Health Engineering and Safety, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran. & Safety Promotion and Injury Prevention Research Center, Research Institute for Health Sciences and Environment, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
2- Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
3- Social Determinants of Health Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
4- Department of Occupational Health Engineering and Safety, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran. & Safety Promotion and Injury Prevention Research Center, Research Institute for Health Sciences and Environment, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Abstract: (45 Views)
Background: One of the main causes of disablement and reduced workplace productivity is musculoskeletal disorders (MSDs). As common as they are, and with such a negative impact on health as well as the economy, there is an urgent need to properly define the hazard and contributing causes. As common as they are, and with such a negative impact on health as well as the economy, there is an urgent need to properly define the hazard and contributing causes. The comprehensive risk assessment of musculoskeletal disorders (CRAMUD) technique will be used in this study to evaluate the risk of acquiring MSDs and ascertain the point prevalence of these illnesses among workers in Tehran Province who manufacture car components.
Methods: This cross-sectional analytical investigation was carried out in 2024 in a Tehran-based automotive parts manufacturing industry, 340 workers were selected from 360 available workers based on the inclusion criteria. The instruments used included the CRAMUD questionnaire, the Rapid Entire Body Assessment (REBA) method, and the Cornell musculoskeletal discomfort questionnaire (CMDQ) questionnaire were used to measure musculoskeletal discomfort. Data analysis was performed using SPSS version 27 software. The Shapiro-Wilk test was used to assess the data's normality The relationships between all variables were performed using Pearson correlation tests and linear regression analyses. The chi-score test was also evaluated to examine group differences.
Results: The mean CRAMUD MSDs risk score was 11.12 ± 3.53 and the point prevalence of MSDs was 44.8%. Additionally, 18.5% of the samples were highly risky and 26.3% were risky. There was a high positive correlation between CRAMUD, REBA (r = 0.755, p < 0.001), and CMDQ (r = 0.776, p < 0.001) scores. Linear regression analysis also showed that physical, personal, and psychosocial items significantly (p < 0.05) influenced the CMDQ score.
Conclusions: The results of this investigation confirm the significant prevalence of MSDs in the automotive parts manufacturing industry and the high validity of the CRAMUD method in assessing associated risks. It is suggested that the incidence and severity of musculoskeletal disorders can be prevented by implementing preventive interventions and improving ergonomic conditions.
Methods: This cross-sectional analytical investigation was carried out in 2024 in a Tehran-based automotive parts manufacturing industry, 340 workers were selected from 360 available workers based on the inclusion criteria. The instruments used included the CRAMUD questionnaire, the Rapid Entire Body Assessment (REBA) method, and the Cornell musculoskeletal discomfort questionnaire (CMDQ) questionnaire were used to measure musculoskeletal discomfort. Data analysis was performed using SPSS version 27 software. The Shapiro-Wilk test was used to assess the data's normality The relationships between all variables were performed using Pearson correlation tests and linear regression analyses. The chi-score test was also evaluated to examine group differences.
Results: The mean CRAMUD MSDs risk score was 11.12 ± 3.53 and the point prevalence of MSDs was 44.8%. Additionally, 18.5% of the samples were highly risky and 26.3% were risky. There was a high positive correlation between CRAMUD, REBA (r = 0.755, p < 0.001), and CMDQ (r = 0.776, p < 0.001) scores. Linear regression analysis also showed that physical, personal, and psychosocial items significantly (p < 0.05) influenced the CMDQ score.
Conclusions: The results of this investigation confirm the significant prevalence of MSDs in the automotive parts manufacturing industry and the high validity of the CRAMUD method in assessing associated risks. It is suggested that the incidence and severity of musculoskeletal disorders can be prevented by implementing preventive interventions and improving ergonomic conditions.
Keywords: Musculoskeletal disorders, CRAMUD, Point prevalence, Risk assessment, Auto parts manufacturing industry
Type of Study: Research |
Subject:
Sport injury and corrective exercises
Received: 2025/03/22 | Accepted: 2025/07/13
Received: 2025/03/22 | Accepted: 2025/07/13
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