| Objective: To investigate the prevalence of multi-site Work-related Musculoskeletal Disorders in Xinjiang opencast coal mine workers,explore and analyze the relevant risk factors affecting multi-site Work-related Musculoskeletal Disorders in workers,and provide theoretical basis for preventing and treating multi-site Work-related Musculoskeletal Disorders,further improving the quality of life of opencast coal mine workers,and ensuring the production efficiency of opencast coal mines.Methods: A cluster sampling method was used to investigate the prevalence of WMSDs,job burnout,psychological ability and other influencing factors among 2833 front-line opencast coal miners working in Xinjiang opencast coal mining enterprises,using the musculoskeletal disease questionnaire,job burnout,psychological flexibility,psychological disengagement and other scales,SPSS26.0 and AMOS24.0 statistical software were used to analyze the data and construct the structural equation model of multiple parts of WMSDs.Draw Nomogram using R4.2.2.Through the differentiation of the area evaluation model under the ROC curve,the bootstrap resampling method is used to carry out the internal validation of the model,and the calibration curve is drawn.Use the process3.3 plug-in to analyze the intermediary effect of psychological detachment and psychological availability between psychological flexibility and psychological availability.Construct the structural equation model of psychological ability,job burnout and multi-site WMSDs.Results:(1)A total of 2833 questionnaires were distributed in this survey,and the effective recovery rate was 71.3%.(2)Since 2019 opencast coal miners worked,in the past year,the incidence of single-site WMSDs in the past week has been from work to date(461 cases,22.8%),the past year(410 cases,20.3%),and the past week(321 cases,15.9%).The incidence of multiple site WMSDs at three time levels has been from work to date(742 cases,36.8%),the past year(589 cases,29.2%),and the past week(482 cases,23.9%).The incidence of multiple site WMSDs is higher than that of single site WMSDs.The most common parts of WMSDs in open pit coal miners are the waist,neck,shoulder and back.Most of the pain lasts less than 7 days,and the pain score in 9 parts is 3 points.Poor posture,unreasonable work organization,lack of rest and other occupational reasons are the factors affecting WMSDs in multiple parts,The incidence of job burnout and multi-site WMSDs in the patients with low mental ability is higher than that in the patients with high mental ability(P<0.05)(3)Multi-factor binary logistic regression was conducted by using the variables screened by chi-square test with the result of(P<0.05)to determine whether they have multi-site WMSDs,and the results showed that the work is changing every day(β=-0.366,OR=0.693,P<0.01)(β=-0.266,OR=0.766,P<0.05),(β=0.577,OR=1.781,P<0.01),keep the hands below the shoulder level(β=-0.273,OR=0.761,P<0.05),working in an uncomfortable position(β=-0.273,OR=1.688,P<0.01),whether the soles of feet sometimes slip or fall during work(β=0.304,OR=1.356,P<0.01),college or technical secondary education(β=0.444,OR=1.559,P<0.01),bachelor degree or above(β=0.444,OR=10.81,P<0.01),drinking(β=0.217,OR=1.243,P<0.05),sleep quality(β=-0.969,OR=0.38,P<0.01),exhaustion dimension(β=0.031,OR=1.032,P<0.01),psychological detachment(β=-0.051,OR=0.951,P<0.01)。Nomogram is drawn according to binary logistic regression,and the area under curve(AUC)is 0.728(95%CI=0.7091-0.7543)according to the internal evaluation of the model.The cross-validation of the 10-fold method showed that the accuracy was0.705 kappa and the value was 0.316.The risk prediction model has a good prediction effect.(4)Spearman correlation results showed that job burnout was negatively correlated with psychological flexibility,and psychological availability was negatively correlated with psychological disengagement(P<0.01).Psychological flexibility and its dimensions were positively correlated with psychological availability and psychological disengagement(P<0.01).Psychological availability was positively correlated with psychological detachment(P<0.01).Psychological disengagement plays a part of intermediary effect between psychological flexibility and job burnout,and psychological availability plays a masking effect between psychological flexibility and job burnout.(5)After the SEM model of influencing factors of multi-site WMSDs model was revised,all fitting indexes were up to standard(Chi-square/degree of freedom=4.106,RMSEA=0.065,GFI=0.935,AGFI=0.904,NFI=0.956),and the constructed model had a good adaptability.job burnoutβ(0.191)had a direct and positive effect on multi-site WMSDs,and psychological detachment could indirectly affect multi-site WMSDs through job burnout(P<0.05).Conclusion:(1)The incidence of multiple site WMSDs in opencast coal miners is higher than that of single site WMSDs in the past three years.The waist,neck,shoulder and back of opencast coal miners are more susceptible to multiple site occupational musculoskeletal diseases.(2)Job burnout,psychological flexibility,psychological availability,and psychological detachment are all the influencing factors of WMSDs in multiple parts of open-pit coal miners.(3)Posture load,physical load,mechanical operation,labor organization,work environment and other work-related factors are related to the occurrence of multi-site WMSDs.(4)The constructed Nomogram has a good prediction effect on WMSDs in multiple sites.(5)Psychological disengagement plays a part of intermediary effect between psychological flexibility and job burnout,and psychological availability plays a masking effect between psychological flexibility and job burnout.(6)Except for the chi-square value and the degree of freedom,each fitting index of the constructed model is up to standard.Occupational burnout has a direct positive effect on multi-position WMSDs,and psychological disengagement has a positive effect on occupational burnout.It indirectly affects multi-position WMSDs through occupational burnout,and can prevent multi-position WMSDs by improving the psychological ability of workers. |