Analysis on prevalence status and the influencing factors of work-related musculoskeletal disorders among workers in an automobile manufacturing enterprise in Guangzhou City

Abstract

Objective: To analyze the detection and influencing factors of work-related musculoskeletal disorders (WMSDs) of workers in an automobile manufacturing enterprise in Guangzhou City. Methods: In April 2020, a total of 7065 workers of an automobile manufacturing enterprise in Guangzhou City were selected as research subjects using cluster sampling method. The Nordic Musculoskeletal Questionnaire (NMQ) was used to investigate the detection of WMSDs. Multiple logistic regression analysis was used to analyze the influencing factors of WMSDs. Results: The detection rate of WMSDs was 43.9% (3102/7065) , among which the detection rate of multiple WMSDs was 31.4%. The detection rates of WMSDs in different parts from high to low were as follows: neck (24.5%) , shoulder (21.1%) and ankle (20.1%) . Multivariate logistic regression analysis showed that working experience of 3-8 years, >8 years, age>30 years old, repetitive work every day, multiple repetitions per minute, uncomfortable work posture, frequent overtime work and lack of staff in the department were risk factors for multi-site WMSDs (P<0.05) . Adequate rest time was a protective factor for multi-site WMSDs (P<0.05) . Conclusion: The detection rates of WMSDs in neck, shoulder, ankle, and multisite in automobile manufacturing enterprise are relatively high. The primary risk factors include adverse ergonomic factors and unreasonable organization of labour factors, optimize the work breaks can effectively reduce the risk of disease, effective ergonomic interventions should be carried out to prevent the occurrence of WMSDs among workers in the automobile manufacturing industry.