1.Influencing factors of work-related musculoskeletal disorders among medical staff: a Bayesian network modeling analysis
Li HU ; Feiruo ZHANG ; Yongmei ZHAO ; Ning FANG ; Guixin YU ; Dan LIU ; Dongdong CAO ; Leihan XU ; Zihuan WANG ; Mingxiao GUO ; Yan YE
China Occupational Medicine 2025;52(6):631-636
Objective To understand the current situation and influencing factors of work-related musculoskeletal disorders (WMSDs) in medical staff in Beijing City. Methods A total of 2 687 medical staff were selected as the research subjects using the multi-stage sampling method. The current situation of WMSDs and occupational stress, anxiety symptoms, depressive symptoms, and insomnia symptoms were investigated using the Musculoskeletal Disorders Questionnaire, the Core Occupational Stress Scale, the Generalized Anxiety Disorder Scale, the Patient Health Questionnaire Depression Scale, and the Self-Sleep Management Questionnaire. The Max-Min Hill-Climbing algorithm was used to construct a Bayesian network model to analyze the influencing factors and internal relationships of WMSDs and to conduct reasoning and prediction of the model. Results The prevalence of WMSDs among the research subjects was 88.9%. Binary logistic regression analysis was used to identify age, educational level, personal monthly income, anxiety symptoms, depressive symptoms, insomnia symptoms, prolonged forward-head desk work, and prolonged static posture work to construct the Bayesian network model. The model consisted of nine nodes and eleven directed edges. Prolonged static posture work, prolonged forward-head desk work, and anxiety symptoms were directly related to WMSDs. Age and educational level were indirectly related to WMSDs through their influence on prolonged forward-head desk work. Depression symptoms were indirectly associated with WMSDs through their influence on anxiety symptoms. The model's prediction accuracy was 90.5%. Conclusion The prevalence of WMSDs among medical staff in Beijing City is relatively high. Prolonged static posture work, prolonged forward-head desk work, and anxiety symptoms may directly increase the risk of developing WMSDs.
2.Medical equipment operation training in military hospital
Ting XIA ; Leihan LIU ; Fuxing GUO
Chinese Medical Equipment Journal 2015;(9):120-122
The practices of military hospital medical equipment operation training were introduced, and the problems were pointed out in training content, organization and support. Some suggestions were put forward from the aspects of field medical equipment development, training plan, post-based training and etc so as to enhance the supportability of field medical equipment.
3.Construction and application of storehouse for medical camp in emergency support brigade
Jiming ZHANG ; Cunhe LIN ; Ling WANG ; Hai YU ; Leihan LIU
Chinese Medical Equipment Journal 2004;0(09):-
The framed storehouse and the open rolling shutter door equipment are designed and manufactured for the infrastructure construction.The multipurpose and moved frame operating platform is designed and manufactured according to the demands of loading and unloading as a whole for part medical equipments.In this way,the shortage of the storehouse space is solved and the usual training and moving become easier.
4.Study on Unloading and Positioning of New Type Medical Shelter
Cunhe LIN ; Leihan LIU ; Ling WANG ; Junpeng TIAN ; Hongwei GONG ; Jiming ZHANG
Chinese Medical Equipment Journal 1989;0(01):-
Objective To study way of unloading and positioning of the new type medical shelter. Methods Through repeated testing and practical application, the ways of "3-lines" is used in the ground precession standardization. The first line is guard line of the left marginal of the shelter, the second is allocation line of the end part of the shelter and the third is front wheel alignment line of the whole unloading vehicles. Based on the lines, vehicles carrying shelters access to the ground in accordance with the order of three channel shelters ahead of five functional shelters. Results The real time of the shelter started is reduced to 35min, much lower than the time designed of 4h. Conclusion The application can be carried out precise positioning and improve the speed of the equipment spread.

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