| Objectives We investigated the prevalence of Pre-Diabetes Milltus(PDM)in a steel group and its influencing factors,especially the relationship between occupational factors and pre-diabetes,so as to provides a theoretical basis for the primary prevention of diabetes in steel workers.Methods Selectiong the employees of an iron and steel group who conducted occupational health examinations at Hongci Hospital from February to June 2017 as the research object,the trained North China University of Technology students used a face-toface approach to ask for a unified Health Assessment Form.The survey included general demographic information,occupational history,past medical history,and family history.Physical examinations such as height,weight and physical composition are performed by a uniformly trained medical examiner.Take 5 ml of non-anticoagulated venous blood in the morning,and the fasting blood glucose test by the laboratory doctor.Diagnostic criteria for pre-diabetes(PDM)are determined by reference to guidelines published by the American Diabetes Association(ADA)in 2014.All data were statistically analyzed using SPSS 23.0 statistical software package.The t-test was used to analyze the relationship between e relationship between prevalence with grade variables.Multi-factor unconditional logistic regression was used the influencing factors of PDM and ROC curve was used to analyze the relationship between general factors and occupational harmful factors and PDM.Results 1 A total of 4173 people were included in the study.The number of PDM patients was 2,647,and the prevalence of PDM was 63.4%.The average age of the subjects was 44.1±8.0 years old,male workers accounted for 91.3%;the average working age was 23.0±.9 years;the shifting group accounted for 67.1%;those with high temperature,noise and CO contact accounted for 63.6%,64.8% and 16.5% respectively.2 The single factor chi-square test results show:(1)Age was related to PDM(P<0.001),and the prevalence of PDM increased with age;the prevalence of male PDM was 67.7% higher than that of female 50.1%(P<0.001);with the increase of education level The prevalence of PDM showed a downward trend(P<0.001);(2)The prevalence of DM family history was higher than that without DM family history(P<0.05);the prevalence of PDM with a family history of hyperlipidemia was higher than that without a family history of hyperlipidemia(P<0.05);a family history of hypertension There was no significant difference in the prevalence of PDM between the family history without hypertension(P>0.05);(3)The PDM group was higher than the normal blood glucose group,and the high-density lipoprotein level was lower than the normal blood glucose group,and the difference was statistically significant(P<0.001).The prevalence of PDM in workers with waist circumference,waist-to-hip ratio,and normal body fat rate was lower than that of blood pressure,waist circumference,waist-to-hip ratio,and body fat percentage(P<0.001).Workers with overweight and obesity had higher prevalence of PDM.Workers with normal BMI(P < 0.001);(4)Compared with the former(P=0.002),PDM was higher in workers who had smoked and smoked than those who never smoked(P=0.002).The prevalence of PDM in passive smokers was higher than that in non-passive smokers.The difference was statistically significant(P <0.001);the prevalence of PDM in workers who had never stopped drinking after drinking alcohol and who are now drinking alcohol is higher than those who never drink(P<0.001);the prevalence of PDM and the consumption of meat and animal offal The frequency was related,the difference was statistically significant(P<0.001);the prevalence of PDM in physical exercisers was lower than that without physical exercise,the difference was statistically significant(P=0.001);there was no difference between tea drinkers and non-tea drinkers.Academic significance(P=0.154);(5)The prevalence of PDM in workers of different working age groups was statistically significant(P<0.001),and the prevalence of PDM increased with the extension of working age(P<0.001).Jobs,shifts and PDM patients was irrelevant(P>0.05).Compared with workers with high temperature,noise and CO exposure,the prevalence of workers exposed to one or more occupational harmful factors increased,and the difference in the number of contacts and PDM The difference in prevalence was statistically significant(P < 0.001).3 Multivariate analysis results 1 showed: age,gender,hypertension,family history of diabetes,passive smoking,drinking,frequency of meat and animal viscera,BMI is a general factor affecting the prevalence of PDM;multivariate analysis results 2 showed high temperature,noise and CO single contact and joint contact,daily working hours,and working age are occupational factors that affect the prevalence of PDM.4 ROC curve results show that the fit of model 2 is better than that of model 1,indicating that occupational harmful factors have an impact on the prevalence of PDM.Conclusion The prevalence of PDM in this study was 63.4%.Age,gender,hypertension,family history of diabetes,passive smoking,alcohol consumption,frequency of meat and animal internal organs,and BMI were the general influencing factors of pre-diabetes;working age,working time,High temperature exposure,noise exposure and CO exposure are occupational factors that affect pre-diabetes.Figure1;Table14;Reference 142... |
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