Analysis of high risk factors for chromosomal aberrations in peripheral blood lymphocytes of 200 radiation workers in Hainan Province
10.19428/j.cnki.sjpm.2023.22668
- VernacularTitle:海南省200例放射工作人员外周血淋巴细胞染色体畸变高危因素分析
- Author:
Yuhong ZHANG
1
;
Yong GU
2
;
Qingshan WU
1
;
Xiaofang GAN
1
;
Li LIN
1
;
Zhuangu ZHANG
1
Author Information
1. Hainan Occupational Health Management Center， Hainan Provincial Hospital of Traditional Chinese Medicine， Haikou，Hainan 570203， China
2. Clinical Research Laboratory， Hainan Provincial Hospital of Traditional Chinese Medicine， Haikou， Hainan 570203， China
- Publication Type:Journal Article
- Keywords:
radiation worker;
peripheral blood lymphocyte;
chromosomal aberration;
ionizing radiation;
high-risk factor
- From:
Shanghai Journal of Preventive Medicine
2023;35(7):674-678
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo investigate the current status and high-risk factors of chromosomal aberrations in peripheral blood lymphocytes （PBL） of radiation workers in Hainan Province. MethodsA total of 200 radiological workers who underwent occupational health examination in Hainan Provincial Hospital of Traditional Chinese Medicine from January 2021 to December 2021 were selected to collect the occupational health examination data and the rate of PBL chromosomal aberrations. The influencing factors of PBL chromosomal aberrations were analyzed by logistic regression model. The predictive value of logistic regression prediction model on PBL chromosomal aberrations were determined by using the reciver operator characteristic （ROC） curve. ResultsA total of 20 000 cells （100 cells/person） were tested. The chromosomal aberration rate was 0.37% （74/20 000） and the PBL chromosomal aberration rate in the subjects was 6.00% （12/200）. Univariate analysis showed that PBL chromosomal aberrations in radiological workers were related to age， length of service， type of work and education （all P<0.05）， but not to gender （P>0.05）. The logistic regression prediction model was constructed based on the influencing factors， with χ2=9.413， df=9， P=0.852， suggesting a good model fit. The logistic regression prediction model predicted the area under the curve （AUC） for the occurrence of PBL chromosomal aberrations in radiation workers was 0.914 （95%CI： 0.866‒0.949）， with a cut-off value of 3.05， corresponding to a prediction sensitivity and specificity of 100.00% and 75.98%， respectively. ConclusionThe incidence of PBL chromosomal aberrations in radiological workers in Hainan Province was 6.00%， with age， working age and job type as high-risk factors and education level as a protective factor. The prediction model constructed by the above factors can provide a reliable basis for clinical prediction of PBL chromosomal aberrations in radiological workers.
