Research on early warning model of the hearing loss of workers exposed to noise.
10.3760/cma.j.cn121094-20210928-00477
- Author:
Hai Hui QI
1
;
Yi Yi DU
1
;
Yu TIAN
1
;
Yong Wei WANG
1
;
Li Ming QUAN
1
;
Ding Lun ZHOU
1
Author Information
1. West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
- Publication Type:Journal Article
- Keywords:
Early warning model;
GEE;
Hearing loss;
Noise, Occupational
- MeSH:
Humans;
Hearing Loss, Noise-Induced/diagnosis*;
Noise, Occupational/adverse effects*;
Audiometry;
Deafness;
Employment;
Occupational Exposure/adverse effects*;
Occupational Diseases/diagnosis*
- From:
Chinese Journal of Industrial Hygiene and Occupational Diseases
2023;41(1):47-51
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To explore the change of hearing threshold of workers exposed to noise, establish an individual-based hearing loss early warning model, accurately and differentiated the health of workers exposed to noise. Methods: In September 2019, all physical examination data of 561 workers exposed to noise from an enterprise were collected since their employment. Three indicators of average hearing threshold of the better ear, namely, at high frequency, 4000 Hz and speech frequency, were constructed. The generalized estimating equation (GEE) was used to adjust gender and age and establish the warning model of each indicator. Finally, sensitive indicators and warning models were screened according to AUC and Yoden index. Results: Among the 561 workers exposed to noise, 26 (4.6%) workers had hearing loss. The sensitivity indicators were the average hearing threshold at speech frequency ≥20 dB, high frequency ≥30 dB and 4000 Hz ≥25 dB. The AUC of each index was 0.602, 0.794 and 0.804, and the Youden indexes were 0.204, 0.588 and 0.608, respectively. In GEE of hearing loss warning models, high-frequency hearing threshold ≥20 dB and 4000 Hz hearing threshold ≥25 dB were the optimal models, with AUC of 0.862. Conclusion: Combined with the changes of individual hearing threshold over the years, can accurately assess the risk of individual hearing loss of workers exposed to noise.
