The Association Between Non-fatal Occupational Injury And Worker’s Personality Factors In The Coal Mine Enterprise

Objective Analysis the characteristics of nonfatal occupational injuries occurred in coalmine enterprise in Shanxi province. Using complex sampling Poisson regression method to findrisk factors which causing worker’s nonfatal occupational injuries. Furthermore, we will providea scientific basis for prevention and control of occupational injuries for the development of coalenterprises, in ordering to reduce the occurrence of occupational injuries.Methods The data was collected in a large coal enterprises in Shanxi based on4400people by two-stage stratified cluster sampling method. The questionnaire investigation contentincluding general situation, the nutrition survey, the International Physical ActivityQuestionnaire (IPAQ), occupational injuries questionnaire, quality of life, personalityquestionnaire short scale for Chinese (EPQ-RSC), Maslach Burnout Inventory-General Survey(MBI-GS), Occupational Stress Inventory Revised Edition (OSI-R) and Case Report Form on thegroup’s staff. The complex sampling Poisson regression model was using to analysis the factorsaffecting the risk of nonfatal occupational injuries occurred.Results There were180occupational injuries, including176male workers and4femaleworkers. The workers with nonfatal occupational injuries were mostly30years old and40yearsold. Occupational injuries is given priority to with minor injuries, accounting for97.9%; Damagetypes is given priority to with smashed wound (55.1%), injury parts mainly in limbs (55.6%), themain workplace for damage to occur in the underground (80.2%). The single factor of Poissonregression analysis results showed that the gender is male, main type is given priority to withheavy manual work, the workplace in the underground line, for a fixed number of years less than1year, shift work, family monthly income of more than6000, poor sleep, snoring, long-termdrinking beer, smoking index low, drinking high concentrations of tea,there was a slight jobburnout, job dissatisfactions, introverted, emotional instability, and factors such as occupationalstress is a risk factor for fatal occupational injuries. Poisson regression model, the results showedthat the workplace is auxiliary, ground and underground organ (RR vs. underground line,0.454,95%CI0.273-0.753,0.376,95%CI0.192-0.736,0.220,95%CI0.082-0.588) injury happeningrisk is low, the work life of2~10and11~20years (RR vs. within1year,0.524,95%CI0.252-1.090and0.468,95%CI0.228-0.962) for injury happened protection factor, shift workduration of5years and more than15years (RR vs. no shift work,2.033,95%CI1.233-3.352and1.768,95%CI0.944-3.309) for injury risk factors, high concentrations of tea (RR vs. don’tdrink,1.602,95%CI1.017-2.522) and job burnout (RR vs. normal,2.718,95%CI0.811-9.112)for injury risk factors, EPQ-RSC E d score shows the middle type and outgoing (RR versus introversion,0.700,95%CI0.449-1.091,0.677,95%CI0.423-1.086) injury happening risk islow.Conclusion The enterprise has a specific distribution of nonfatal occupational injuries.Workplace, working years, shift work, drinking high concentrations of tea, job burnout andEPQ-RSC E d is the main influencing factors of occupational injuries. Complex samplingPoisson regression is a ideal method of dealing with the discrete outcomes about complex surveydata, has certain advantages, but also to have certain limitations.