Study on risk factors of abnormal pulmonary function among dust-exposed workers and prediction model.
10.3760/cma.j.cn121094-20210413-00201
- Author:
Qiang FU
1
;
Guo Hai WANG
1
;
Jian Quan ZHU
1
;
Guo Cai PAN
1
;
Song JIN
2
Author Information
1. Department of Occupational and Radiational Health, Changzhou Center for Disease Control and Prevention, Changzhou 213022, China.
2. Department of Health, Changzhou Xinbei District Center for Disease Control and Prevention, Changzhou 213022, China.
- Publication Type:Journal Article
- Keywords:
Dust;
Influence factors;
Nomogram;
Predictive model;
Pulmonary function
- MeSH:
Humans;
Dust/analysis*;
Lung;
Nomograms;
Risk Factors;
ROC Curve
- From:
Chinese Journal of Industrial Hygiene and Occupational Diseases
2023;41(1):31-35
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To explore the influencing factors of abnormal pulmonary function in dust-exposed workers and establish the risk prediction model of abnormal pulmonary function. Methods: In April 2021, a total of 4255 dust exposed workers from 47 enterprises in 2020 were included in the study. logistic regression was used to analyze the influencing factors of abnormal pulmonary function in dust-exposed workers, and the corresponding nomogram prediction model was established. The model was evaluated by ROC curve, Calibrationpolt and decision analysis curve. Results: logistic regression analysis showed that age (OR=1.03, 95%CI=1.02~1.05, P<0.001) , physical examination type (OR=4.52, 95%CI=1.69~12.10, P=0.003) , dust type (Comparison with coal dust, Cement dust, OR=3.45, 95%CI=1.45~8.18, P=0.005, Silica dust (OR=2.25, 95%CI=1.01~5.03, P=0.049) , blood pressure (OR=1.63, 95%CI=1.22~2.18, P=0.001) , creatinine (OR=0.08, 95%CI=0.05~0.12, P<0.001) , daily exposure time (OR=1.06, 95%CI=1.10~1.12, P=0.034) and total dust concentration (OR=1.29, 95%CI=1.08~1.54, P=0.005) were the influencing factors of abnormal pulmonary function. The area under the ROC curve of risk prediction nomogram model was 0.764. The results of decision analysis curve showed that the nomogram model had reference value in the prevention and intervention of abnormal pulmonary function when the threshold probability exceeded 0.05. Conclusion: The accuracy ofthe nomogram model constructed by logistic regression werewell in predicting the risk of abnormal lung function of dust-exposed workers.
