[Analysis on the detection of suspected occupational diseases and occupational contraindications for benzene workers in Tianjin].

Objective

To investigate the detection of suspected occupational diseases and occupational contraindications for benzene workers in Tianjin.

Methods

In June 2020, the occupational health inspection data of 16113 benzene workers in 514 enterprises with benzene hazards in 16 municipal districts in Tianjin from January to December 2019 were included in the analysis. Enterprise information included the employer's region, economic type, industry classification and enterprise scale. Occupational health inspection data for benzene workers during their on-the-job period included routine inspection indicators and benzene special inspection indicators. Multivariate unconditional logistic regression was used to analyze the relationship between personal general information, occupational history, enterprise information and suspected benzene poisoning and occupational contraindications of benzene workers.

Results

There were 16073 benzene workers in the normal group and 24 in the suspected benzene poisoning group. The detection rate of suspected benzene poisoning in females was higher than that in males (χ(2)=8.26, P=0.004) . There was no significant difference in the detection rates of suspected benzene poisoning among different dimensions such as age, length of service, occupational health inspection institution location, employer location, industry classification, economic type, and enterprise scale (P>0.05) . There were 16073 benzene workers in the normal group and 16 in the benzene contraindication group. The detection rate of benzene contraindications for workers in suburban areas where occupational health inspection institutions were located was higher than that in urban areas (χ(2)=9.71, P=0.002) , and there was no significant difference in the detection rates of contraindications for benzene in other dimensions (P>0.05) . Multivariate logistic regression analysis showed that female benzene workers were more likely to detect suspected benzene poisoning (OR=3.53, 95%CI: 1.57-7.94, P=0.002) ; benzene workers who received physical examination in suburban occupational health inspection institutions (OR=5.81, 95%CI: 1.94-17.42, P=0.002) , the employer's area was in the suburbs (OR=9.68, 95%CI: 1.23-76.07, P=0.031) , and female workers (OR=3.07, 95%CI: 1.13-8.37, P=0.028) , it was easier to detect occupational contraindications.

Conclusion

Female benzene workers with employers located in the suburbs have a higher risk of detecting occupational contraindications, and women are more likely to detect suspected benzene poisoning. The management of benzene operations in the production environment of enterprises in the suburbs of Tianjin and the occupational health monitoring of female workers should be strengthened.