[Structural equation analysis and modeling of upper limb WMSDs and their adverse ergonomic factors].

<b>Objective:</b> To explore the structural relationship between WMSDs in the upper limbs and various risk factors in the occupational population in China, based on a large sample epidemiological survey and structural equation analysis, and to establish a structural equation model, so as to lay a foundation for the prevention and control of such diseases. <b>Methods:</b> The Chinese version of the Musculoskeletal Disorders Electronic Questionnaire was used to conduct a nationwide survey on the prevalence of WMSDs in the upper extremity. Six factors related to WMSDs in the upper extremity were extracted by the classification standard of adverse ergonomic factors and their source and confirmatory factor analysis, including work organization, work type, upper extremity work posture, individual factors, upper extremity fatigue and upper extremity WMSDs. The structural equation analysis was carried out and the structural equation model was established. <b>Results:</b> The incidence of WMSDs and fatigue in the upper limbs was 24.44% and 43.76%, respectively. The adjusted structural equation model fitting indicators were generally up to the standard (GFI=1.000, AGFI=1.000, RMSEA=0.043, NFI=0.808, TLI=0.784) . The four exogenous latent variables of work organization, work type, upper limb work posture and individual factors were correlated. There was a strong positive correlation between job type and upper limb work posture (<i>r</i>=0.865) , a moderate positive correlation between work organization and job type and upper limb work posture (<i>r</i>=0.570, 0.490) , and a weak negative correlation between individual factors and the other three exogenous latent variables. Upper limb work posture and individual factors had direct effects on upper limb WMSDs, and the effect coefficients were 0.10 and 0.06, respectively. Upper limb fatigue played a mediating role between work organization, work type, upper limb work posture and upper limb WMSDs. The effect coefficient was 0.46, and the composition ratios of indirect effects were 100.0%, 100.0%, and 38.3%, respectively. The direct path effect of upper limb work posture, individual factors and upper limb WMSDs was weaker than the mediating path through upper limb fatigue. <b>Conclusion:</b> When carrying out the prevention and control of upper limbWMSDs, it is necessary to comprehensively consider the pathogenesis path of upper limb muscle fatigue and upper limb WMSDs caused by work organization, work type, and upper limb work posture, so as to provide theoretical reference for improving the prevention and control level of such diseases.

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Publication Details

Journal
PubMed
Published
2025-04-20
DOI
https://doi.org/10.3760/cma.j.cn121094-20240703-00296
Primary Topic
Musculoskeletal pain and rehabilitation
Type
article
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article

[Structural equation analysis and modeling of upper limb WMSDs and their adverse ergonomic factors].

Bo Xiao, Yuehui Yin, Jinyan Li, Roger Ling et al.
PubMed
Musculoskeletal pain and rehabilitation
article

[Structural equation analysis and modeling of upper limb WMSDs and their adverse ergonomic factors].

Bo Xiao, Yuehui Yin, Jinyan Li, Roger Ling, J X Liu, Ruiguang Wang, Meibian Zhang, Qing Xu, J C Chen, Qiang Zeng, Yanan Liu, D Y Wang, Hua Shao, Li Deng, Jun Qi, Hua Zou, Xiuhua Sun, Enhui Jiang, Guangyao Li, Ying Ye, Zheng Wang, Ning Jia, Heng Zhang, Shengfu Zhong, Meng Yang, Xiaofan Zhao, B Qiu, Z X Wang, Q H Shi, Liangying Mei, Xuewei Guo, Yan Liu
article en

Abstract

<b>Objective:</b> To explore the structural relationship between WMSDs in the upper limbs and various risk factors in the occupational population in China, based on a large sample epidemiological survey and structural equation analysis, and to establish a structural equation model, so as to lay a foundation for the prevention and control of such diseases. <b>Methods:</b> The Chinese version of the Musculoskeletal Disorders Electronic Questionnaire was used to conduct a nationwide survey on the prevalence of WMSDs in the upper extremity. Six factors related to WMSDs in the upper extremity were extracted by the classification standard of adverse ergonomic factors and their source and confirmatory factor analysis, including work organization, work type, upper extremity work posture, individual factors, upper extremity fatigue and upper extremity WMSDs. The structural equation analysis was carried out and the structural equation model was established. <b>Results:</b> The incidence of WMSDs and fatigue in the upper limbs was 24.44% and 43.76%, respectively. The adjusted structural equation model fitting indicators were generally up to the standard (GFI=1.000, AGFI=1.000, RMSEA=0.043, NFI=0.808, TLI=0.784) . The four exogenous latent variables of work organization, work type, upper limb work posture and individual factors were correlated. There was a strong positive correlation between job type and upper limb work posture (<i>r</i>=0.865) , a moderate positive correlation between work organization and job type and upper limb work posture (<i>r</i>=0.570, 0.490) , and a weak negative correlation between individual factors and the other three exogenous latent variables. Upper limb work posture and individual factors had direct effects on upper limb WMSDs, and the effect coefficients were 0.10 and 0.06, respectively. Upper limb fatigue played a mediating role between work organization, work type, upper limb work posture and upper limb WMSDs. The effect coefficient was 0.46, and the composition ratios of indirect effects were 100.0%, 100.0%, and 38.3%, respectively. The direct path effect of upper limb work posture, individual factors and upper limb WMSDs was weaker than the mediating path through upper limb fatigue. <b>Conclusion:</b> When carrying out the prevention and control of upper limbWMSDs, it is necessary to comprehensively consider the pathogenesis path of upper limb muscle fatigue and upper limb WMSDs caused by work organization, work type, and upper limb work posture, so as to provide theoretical reference for improving the prevention and control level of such diseases.

PubMedVol. 43(4)
Beijing Center for Disease Prevention and Control (CN), National Institute for Occupational Health and Poison Control (CN)
Musculoskeletal pain and rehabilitation
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