ABSTRACT
Objective@#Analyzes of the monitoring results of silicosis in key occupational disease monitoring in Tianjin in 2017, providing reference for continuous monitoring, and prevention and control work of silicosis.@*Methods@#Monitor and analyze the current state of silica dust hazard enterprises, the health status of silica dust workers, and the characteristics of newly developed silicosis cases in accordance with the national 2017 work plan for key occupational disease monitoring and occupational health risk assessment.@*Results@#In 2017, 210 enterprises have silica dust hazard in Tianjin, silica dust workplaces exceed the standard rate is 34.73%, 5 695 workers' health examination who contact with silica dust were collected. 2 were detected occupational contraindication, the abnormal detection rate of chest examination is 3.60%, the abnormal index of lung function mainly is FVC, the abnormal rate is 15.8%. The abnormal rate increases with working years. In 2017, 193 new cases of silicosis were reported most cases were developed after years of decontamination. Most enterprises with cases had already out of market, only 7 were still producing.@*Conclusion@#The key prevention and control in Tianjin was enterprises with silica dust excess of standard, as well as older and longer working years workers, adopting effective measures to reduce the concentration of silica dust in workplace is a fundamental measure to reduce the risk of silicosis.
ABSTRACT
<p><b>OBJECTIVE</b>To evaluate associations between carbon constituents of fine particulate matter (PM2.5) and atherogenic index of plasma (AIP).</p><p><b>METHODS</b>We collected subjects from two communities by a system sampling, and 112 people aged over 60 years old without cardiovascular disease were recruited. The levels of cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C) of objects, and personal exposure to PM2.5 were measured on December, 2011. Total carbon (TC), organic carbon (OC) and elemental carbon (EC) of PM2.5 were detected and AIP was calculated according to its definition.</p><p><b>RESULTS</b>The value of AIP among the 112 subjects was 0.05 ± 0.26. Personal exposure concentration of PM2.5 and its carbon components (TC,OC and EC) were (164.75 ± 110.67), (53.86 ± 29.65), (44.93 ± 26.37) and (9.49 ± 5.75) µg/m(3), respectively. The Pearson analysis showed the linear relationship between TC,OC,EC and AIP, all significant positive correlations. The correlation coefficients were TC (r = 0.307, P < 0.05),OC (r = 0.287, P < 0.05) and EC (r = 0.252, P < 0.05), respectively. The multiple logistic regression analysis showed that when the AIP risk categories were selected as dependent variable and low risk group as reference group, the regression coefficient of TC,OC and EC was separately 1.03 (95%CI:1.01-1.05), 1.03 (95%CI:1.01-1.05), 1.12 (95%CI:1.02-1.22) in the high risk group; while there was no statistical significance of the regression coefficient and OR in the middle risk group.</p><p><b>CONCLUSION</b>There was stable associations between the carbon constituents (TC,OC and EC) of fine Particulate Matter (PM2.5) and AIP. The findings suggested that carbon components of PM2.5 should be considered as risk factors of atherogenic.</p>