Investigating the Prevalence of Musculoskeletal Disorder Risks in an Auto Parts Manufacturing Industry in Tehran: Comparative Evaluation of the CRAMUD, REBA, and CMDQ Methods

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 Tehranbased 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.

Institutions

Publication Details

Journal
Physical Treatments - Specific Physical Therapy
Published
2025-05-01
DOI
https://doi.org/10.32598/ptj.2026.683.4
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating the Prevalence of Musculoskeletal Disorder Risks in an Auto Parts Manufacturing Industry in Tehran: Comparative Evaluation of the CRAMUD, REBA, and CMDQ Methods

Physical Treatments - Specific Physical Therapy
Geochemistry and Geologic Mapping
article

Investigating the Prevalence of Musculoskeletal Disorder Risks in an Auto Parts Manufacturing Industry in Tehran: Comparative Evaluation of the CRAMUD, REBA, and CMDQ Methods

article en

Abstract

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 Tehranbased 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.

Physical Treatments - Specific Physical TherapyVol. 0(Articles In Press)
Shahid Beheshti University of Medical Sciences (IR)
Shahid Beheshti University of Medical Sciences
Industry, innovation and infrastructure
Openalex Percentile: Top 39%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.