Relationship Between Occupational Hazard Factors And T2DM In The Steel Workers

Objectives To explore the relationship between occupational harmful factors and the prevalence of type 2 diabetes mellitus in steel workers.Methods A total of 8564 steel workers were selected from June 2015 to June 2016 for occupational health examination and health examination in a hospital affiliated to a steel company.The method was used to analyze 8379 people.Collected data include demographic characteristics of cattle workers,lifestyle,personal history and family history,career history.Use Epidata3.1 to build the database.Count data usage or composition ratio,single factor analysis using χ2 test.Multivariate statistical analysis was performed by multivariate unconditional logistic regression,and the factors related to the prevalence of T2 DM were identified.The dose-response relationship between the cumulative exposure of occupational hazards and the prevalence of T2 DM in steel workers was selected.Restricted cubic splines were selected and the cumulative cube samples of cumulative cumulative exposure and risk were plotted in SAS 4.9 software Figure.Using bilateral test,test the level of α = 0.05.Results 1 The ratio of shift work exposure population;High temperature exposure population,Noise exposure population,Dust exposure population and carbon monoxide exposure population in steel workers are 66.4%,53.1%,54.9%,59.7% and 47.8%,respectively.2 The single factor analysis results of occupational hazard factors show that shift work,dust and carbon monoxide are related to the prevalence of T2DM(P<0.05).High temperature and noise have nothing to do with the prevalence of T2DM(P>0.05).3 Adjusting the general factors,the multiple factors analysis results of the occupational hazard factors show that shift work,dust and carbon monoxide are related to the prevalence of T2DM(P<0.001),OR: 1.379(95%CI: 1.204~1.578),1.338(95%CI: 1.177~1.520)and 1.278(95%CI: 1.127~1.448),respectively.High temperature and noise also have nothing to do with the prevalence of T2DM(P>0.05).The similar results could be obtained by adjusting the general and occupational factors.4 The population of 5562 people exposed in shift work is analyzed by the restricted cubic spline analysis.Adjusting the general factors and the occupational hazard factors,the intensity correlation of shift work years and T2 DM is statistically significant(χ2=18.68,P<0.0001)and exhibits linear correlation(χ2=0.51,P=0.4739).The ill risk of T2 DM increases along with the continuous growth of the shift work years.5 The population of 5105 people exposed in dust is analyzed by the restricted cubic spline analysis.Adjusting the general factors and the occupational hazard factors,the intensity correlation of the cumulative exposure of dust and T2 DM is statistically significant(χ2=27.22,P<0.0001)and exhibits non-linear correlation(χ2=4.88,P<0.0001).The ill risk of T2 DM increases along with the continuous growth of the cumulative exposure of dust.6 The population of 4060 people exposed in carbon monoxide is analyzed by the restricted cubic spline analysis.Adjusting the general factors and the occupational hazard factors,the intensity correlation of the cumulative exposure of carbon monoxide and T2 DM is statistically significant(χ2=46.56,P<0.0001)and exhibits linear correlation(χ2=0.40,P=0.6526).The ill risk of T2 DM increases along with the continuous growth of the cumulative exposure of carbon monoxide.Conclusions 1 shift,dust,CO and T2 DM prevalence,is a risk factor for diabetes.The risk of T2 DM increased with the increase of the amount of dumping,the cumulativeexposure of dust and the cumulative amount of CO.