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Chinese Journal of Industrial Hygiene and Occupational Diseases ; (12): 863-867, 2018.
Artículo en Chino | WPRIM | ID: wpr-807592

RESUMEN

Objective@#Analyze the detection rates of occupational contraindication and suspected occupational disease from the employee exposure to noise and describe the distribution characteristics.@*Methods@#According to the Technical Specifications for Occupational Health Surveillance (GBZ 188-2014) 、Diagnosis of Occupational Noise-induced Deafness (GBZ 49-2014) and Guideline of Identification of Contraindication to Job Placement (GBZ/T 260-2014) , calculate and analyze the occupational contraindication and suspected occupational disease detection rates of 149 271 workers from January 1st to December 31st in 2015 who were exposed to noise. Analyze the detection rates distribution characteristics between different gender, age, seniority, industry and enterprise scale.@*Results@#The detection rates of occupational contraindication is 2.08%. The suspected occupational disease detection rates of absences workers (2.13%) is higher than during (2.03%) . The occupational contraindication detection rates of< age 20 (2.64%) , 41~50 years old (2.48%) and<1 working years (5.35%) , are higher than others. The detection rates of suspected occupational disease increases with the growth of ages and working years. The occupational contraindication detection rates of scientific research and technology services industry (10.46%) is the highest. The suspected occupational disease detection rates of transportation warehousing and postal services (5.88%) is the highest. The occupational contraindication detection rates of medium-sized enterprise (2.27%) is the highest, meanwhile, the microenterprise’s (1.60%) is the lowest. The suspected occupational disease detection rates of large-scale enterprise (3.21%) is the highest, meanwhile, the microenterprise’s (1.33%) is the lowest.@*Conclusion@#Enterprise should insist on regular occupational health examination, strengthen screening of occupational contraindication in new workers, especially pre-job workers and detect the occupational disease patients early. Focus on non-traditional noise industries above mentioned, improve intensity of noise hazards prevention and control. The detection rates of occupational contraindication and suspected occupational disease can be used as a reference standard for the quality control of occupational examination and report of medical institutions.

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