Influence of individual factors and labor organization on musculoskeletal disorders of automobile manufacturing workers
10.3969/j.issn.1006-2483.2024.04.024
- VernacularTitle:个体因素与劳动组织对汽车制造业工人肌肉骨骼疾患的影响
- Author:
Hong YIN
1
;
Yong MEI
2
;
Kangkang ZHANG
1
;
Guobing ZHAO
3
;
Qin LI
4
;
Shaohua YANG
4
;
Jiabing WU
1
Author Information
1. Shiyan Occupational Disease Prevention Institute , Shiyan , Hubei 442000 , China
2. Wuhan University of Science and Technology , Wuhan , Hubei 430065 , China
3. Shiyan Center for Disease Control and Prevention , Shiyan , Hubei 442004 , China
4. School of Public Health and Health , Hubei University of Medicine , Shiyan , Hubei 442000 , China
- Publication Type:Journal Article
- Keywords:
Work-related musculoskeletal disorders (WMSDs);
Labor organization;
Generalized estimation equation (GEE);
Automobile manufacturing
- From:
Journal of Public Health and Preventive Medicine
2024;35(4):99-102
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the influence of individual factors and labor organization factors on work-related musculoskeletal disorders (WMSDs) in automobile manufacturing workers, and to provide a scientific basis for the prevention and treatment of WMSDs in automobile manufacturing workers. Methods In April 2020, 5564 workers in an automobile factory were selected by cluster sampling method. The prevalence of WMSDs was investigated by using the Musculoskeletal Disorders Questionnaire, and the influence of individual factors and labor organization factors on WMSDs was investigated by using generalized estimation equation. Results The prevalence rate of WMSDs was 79.00% (4396/5564), and the prevalence rate of multisite WMSDs was 67.95% (3781/5564). The analysis of generalized estimation equation showed that doing the same job every day (OR= 1.478, P < 0.05), age ≥40 years (OR=1.416, P< 0.05), personnel shortage (OR= 1.356, P < 0.05), and work length of 6～10 years and 11～15 years (OR= 1.349, P< 0.05) were the main risk factors for WMSDs in automobile manufacturing workers. Shift work and working time > 40 hours per week increased the risk of WMSDs (P< 0.05). Male and adequate rest time were protective factors for WMSDs. The job correlation matrix showed that WMSDs in most parts had a positive correlation. Conclusions The prevalence of multisite WMSDs of workers in automobile manufacturing industry is high, and unreasonable labor organization is the main risk factor of WMSDs. Appropriate work breaks can effectively reduce the risk of WMSDs, and effective intervention measures should be carried out to prevent the occurrence of WMSDs in workers in automobile manufacturing industry. The generalized estimation equation can better analyze the influencing factors of WMSDs.
