Structural equation analysis and modeling of adverse ergonomic factors for lower back pain
10.3760/cma.j.cn121094-20240422-00177
- VernacularTitle:下背痛及其不良工效学因素的结构方程分析与建模
- Author:
Qing XU
1
;
Ning JIA
;
Xin SUN
;
Meibian ZHANG
;
Xinwei GUO
;
Huadong ZHANG
;
Ruijie LING
;
Yimin LIU
;
Zhi WANG
;
Gang LI
;
Yan YIN
;
Hua SHAO
;
Jue LI
;
Hengdong ZHANG
;
Bing QIU
;
Dayu WANG
;
Qiang ZENG
;
Rugang WANG
;
Yan YE
;
Bin XIAO
;
Hua ZOU
;
Jianchao CHEN
;
Dongxia LI
;
Yongquan LIU
;
Qinghua SHI
;
Jixiang LIU
;
Enfei JIANG
;
Jun QI
;
Liangying MEI
;
Xianfeng ZHAO
;
Mimi YANG
;
Zhongxu WANG
Author Information
1. 中国疾病预防控制中心职业卫生与中毒控制所职业防护与工效学研究室，北京 100050
- Publication Type:Journal Article
- Keywords:
Musculoskeletal system;
Lower back pain;
Work-related musculoskeletal disorders;
Risk factors;
Structural equation model
- From:
Chinese Journal of Industrial Hygiene and Occupational Diseases
2024;42(12):937-945
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To establish a structural equation model of lower back pain and its risk factors in occupational population in China based on a large-sample occupational epidemiological survey and structural equation analysis, so as to lay the foundation for the prevention of this disease.Methods:A total of 73497 occupational epidemiological cases were selected from June 2018 to December 2023 using the Chinese version of the Musculoskeletal Disorders Electronic Questionnaire. The results were analyzed using ergonomic hazard factors and their risk source classification criteria. Confirmatory factor analysis was then applied to extract individual factors, work organization, working postures, work types, muscle fatigue, and lower back pain. These factors were subsequently classified into six categories and structural equation model was established.Results:The main structural reliability and validity indexes of the structural equation model of lower back pain and its adverse ergonomic factors after adjustment were basically up to standard[goodness of fit index (GFI) was 0.956, the adjusted goodness of fit index (AGFI) was 0.944, the root mean square error of approximation (RMSEA) was 0.043, the normed fit index (NFI) was 0.922, the comparative fit index (CFI) was 0.923, and the Tucker-Lewis index (TLI) was 0.908], and the model fit was good. There were correlations among four exogenous latent variables: individual factors, work organization, working postures and work types. Among them, individual factors had a weak negative correlation with the three exogenous potential variables of work organization, working postures and work types ( r=-0.30, -0.11, -0.18), and work organization had a moderate positive correlation with working postures and work types ( r=0.49, 0.55). There was a strong positive correlation between work types and working postures ( r=0.72). The direct path coefficients of individual factors, working postures and muscle fatigue were 0.07, 0.11 and 0.40, respectively. The direct path coefficients of work types were -0.07. There was an indirect path mediated by muscle fatigue between work types, working postures and work organization and lower back pain, and the indirect path coefficients were: work types-muscle fatigue-lower back pain (0.15), working postures-muscle fatigue-lower back pain (-0.04) and work organization-muscle fatigue-lower back pain (0.27) . Conclusion:When carrying out the prevention and control of lower back pain, the pathogenesis of lower back pain induced by workers' muscle fatigue caused by work organization, working postures, and work types factors should be comprehensively considered, so as to provide a theoretical reference for improving the prevention and control level of lower back pain.
