Structural equation analysis and modeling of fect and ankles WMSDs and its adverse ergonomic factors
10.3760/cma.j.cn121094-20240703-00297
- VernacularTitle:足踝部WMSDs及其不良工效学因素的结构方程分析与建模
- Author:
Xi ZHANG
1
;
Ning JIA
;
Xin SUN
;
Meibian ZHANG
;
Qing XU
;
Huadong ZHANG
;
Ruijie LING
;
Yimin LIU
;
Gang LI
;
Yan YIN
;
Hua SHAO
;
Hengdong ZHANG
;
Yanmin QI
;
Bing QIU
;
Tiebing LIU
;
Dayu WANG
;
Qiang ZENG
;
Yan YE
;
Bin XIAO
;
Hua ZOU
;
Jianchao CHEN
;
Dongxia LI
;
Yongquan LIU
;
Jixiang LIU
;
Enfei JIANG
;
Jun QI
;
Liangying MEI
;
Tianlai LI
;
Mimi YANG
;
Xinwei GUO
;
Zhongxu WANG
Author Information
1. 中国民用航空局民用航空医学中心民航公共卫生应急管理办公室，北京 100123
- Publication Type:Journal Article
- Keywords:
Musculoskeletal system;
Feet and ankles;
Work-related musculoskeletal disorders;
Risk factors;
Structural equation modeling
- From:
Chinese Journal of Industrial Hygiene and Occupational Diseases
2025;43(2):101-109
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the structural equation model to explore the levels of work-related musculoskeletal disorders (WMSDs) and various risk factors in the feet and ankle of China's occupational population, providing scientific basis for for preventing WMSDs in feet and ankles.Methods:Data of 73497 national occupational epidemiological cases were selected from June 2018 to December 2023 used the Chinese version of the Electronic Questionnaire on Musculoskeletal Disorders. The adverse ergonomic factors and their source classification standard and confirmatory factor analysis were used to investigate foot and ankle WMSDs and their related risk factors (including individual factors, work organization, work posture, work type, fatigue, etc.) in key occupational groups in China, and structural equation model hypothesis, fitting, verification, and path and intermediary effect analysis were carried out. The model fit evaluation indexes included Chi-square specific degrees of freedom ( χ2/ df), gauge fit index (NFI), Tucker Lewis index (TLI), goodness of Fit index (GFI), adjusted Goodness of Fit index (AGFI) and approximate root mean square error (RMSEA) . Results:A total of 73497 occupational workers were surveyed, with local muscle fatigue and WMSDs incidence rates in the feet and ankles being 17.17% and 12.06%, respectively. The fitting index of the adjusted structural equation model basically meets the standard (GFI=1, AGFI=1, RMESA=0.042, NFI=0.716, TLI=0.663). The top three factors affecting feet and ankle WMSDs are feet and ankle muscle fatigue, work type, and work organization, with standardized path coefficients of 0.221, 0.105, and 0.095, respectively. The top two factors affecting feet and ankle muscle fatigue are work organization and work type, with standardized path coefficients of 0.548 and 0.383, respectively. Feet and ankle muscle fatigue, work type, work organization, and work posture have a direct effect on feet and ankle WMSDs, with effect values of 0.221, 0.105, 0.095, and 0.077, respectively. The organization and type of work can also have indirect effects through feet and ankle muscle fatigue, with effect values of 0.121 and 0.084, respectively.Conclusion:Feet and ankle muscle fatigue has a direct impact on WMSDs, and plays a mediating role between ankle and ankle WMSDs caused by work organization and work type. Feet and ankle muscle fatigue is an important pathway leading to feet and ankle WMSDs. It is recommended that employers and managers detect job fatigue early and take corresponding prevention and intervention measures, which can play a key role in preventing feet and ankle WMSDs.
