| Guo Wei,Zhao Fengling,Xing Zhiwei,He Ling,Liu Wei,Liu Yulong,Wang Shouzheng,He Zaiqing,Chen Wei,Chen Guizhi.Evaluation and analysis on diagnostic criteria for common occupational radiation-induced diseases among radiation workers in some provinces and cities of China[J].Chinese Journal of Radiological Medicine and Protection,2023,43(8):620-626 |
| Evaluation and analysis on diagnostic criteria for common occupational radiation-induced diseases among radiation workers in some provinces and cities of China |
| Received:April 06, 2023 |
| DOI：10.3760/cma.j.cn112271-20230406-00108 |
| KeyWords:Radiation diseases Health standard Radiation worker Standard assessment Questionnaire |
| FundProject:国家卫生健康委法规司卫生标准实施评估项目（20202105）；河南省医学科技攻关计划项目（RKX202102015） |
| Author Name | Affiliation | E-mail | | Guo Wei | Henan Key Laboratory of Medicine on Radiobiology and Epidemiology, The Third People's Hospital of Henan Province (Henan Occupational Disease Hospital), Zhengzhou 450052, China | | | Zhao Fengling | Henan Key Laboratory of Medicine on Radiobiology and Epidemiology, The Third People's Hospital of Henan Province (Henan Occupational Disease Hospital), Zhengzhou 450052, China | zzzfl1626@126.com | | Xing Zhiwei | Department of Physical Examination, Institute of Radiation Medicine, Chinese Academy of Medical Sciences, Tianjin 300192, China | | | He Ling | Department of Radiological Health, Sichuan Provincial Center for Disease Control and Prevention, Chengdu 610041, China | | | Liu Wei | Office, Institute of Radiation Medicine, Shandong Academy of Medical Sciences, Shandong First Medical University, Jinan 250013, China | | | Liu Yulong | Department of Occupational Diseases, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China | | | Wang Shouzheng | Department of Occupational Diseases, No. 417th Hospital of Nuclear Industry, Xi'an 710699, China | | | He Zaiqing | Office of Nuclear Emergency, No. 416th Hospital of Nuclear Industry, Chengdu 610057, China | | | Chen Wei | Department of Radiological Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China | | | Chen Guizhi | Department of Radiological Health, Inner Mongolia Comprehensive Center for Disease Control and Prevention, Hohhot 010031, China | |
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| Abstract:: |
| Objective To investigate the application of diagnostic criteria for common occupational radiation-induced diseases to radiation workers, in order to provide a basis for the revision, publicity and standardization of the standards.Methods Radiation workers were selected from 1 city, 7 provinces and 1 corporation by using cluster random sampling method from January 2021 to May 2021. Awareness of the criteria and the effects of ionizing radiation, and the suggestions for diagnostic works were investigated and analyzed.Results A total of 2 839 radiation workers were investigated. There were differences in the awareness of different diagnostic criteria, the inclusions in complex diagnostic criteria, the materials required for applying for diagnosis, and the ways of knowing the diagnostic criteria(χ2=416.06,2924.14,83.45,895.67,815.94, P<0.001). The correct understanding rates of deterministic effects and stochastic effects were 80.63% and 43.64%, respectively. The acceptance rates in applicable materials were 96.79% for occupational exposure history, 94.72% for occupational health monitoring records and 93.55% for individual monitoring of occupational exposure, respectively. Pre-employment training rate was 80.20%, on-job training rate was 81.19%, and untrained rate was 3.77%. The suggestions to the diagnosis of occupational radiation-induced diseases are to strengthen training, pay attention to individual monitoring, occupational health examination, and strengthen health supervision and law enforcement.Conclusions Radiation workers have a low awareness rate of certain diagnostic standards and a high awareness rate of diagnostic procedures. Publicity and training of health effects of ionizing radiation and diagnostic criteria of occupational radiation-induced diseases should be strengthened. Diagnostic procedure should be optimized. |
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