A Logistic regression model analysis of risk factors for hearing loss among noise exposure practitioners
10.16066/j.1672-7002.2025.05.005
- VernacularTitle:噪声暴露从业人员听力损失危险因素Logistic回归模型分析
- Author:
Cailing ZHOU
1
;
Yong LI
;
Zuying HU
;
Xuhong CHEN
;
Saiqun ZHU
Author Information
1. 杭州市职业病防治院职业病科,浙江 杭州 310014
- Keywords:
Noise,Occupational;
Hearing Loss;
Regression Analysis;
population characteristics;
audio
- From:
Chinese Archives of Otolaryngology-Head and Neck Surgery
2025;32(5):294-298
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE Explore the influencing factors of hearing loss among workers exposed to noise.METHODS A total of 167 noise exposure practitioners undergoing hearing testing in Hangzhou Occupational Disease Prevention and Treatment Center from January 2022 to December 2023 were selected to perform hearing testing on the left and right ears of the patients.Based on the test results,the patients were divided into 123 hearing loss patients(loss group)and 44 non hearing loss patients(control group).The population characteristics,laboratory indicators,noise exposure,and other indicators of the two groups were compared.Logistic regression models were used to analyze the risk factors for hearing loss in noise exposed workers.RESULTS In the 2 000,3 000,4 000,and 6 000 Hz air conduction hearing threshold tests,the hearing threshold of the right side of the loss group patients was higher than that of the control group.In the 500,1 000,2 000,3 000,4 000,and 6 000 Hz air conduction hearing threshold tests,the hearing threshold of the left side of the loss group patients was higher than that of the control group,and the differences were statistically significant(P<0.05).The age of patients in the loss group,the proportion of patients with concurrent chronic diseases,and the proportion of patients with junior high school education or below were all significantly different from those in the control group,and the differences were statistically significant(P<0.05).The length of service and the proportion of patients with liver function loss in the loss group were significantly higher than those in the control group.The proportion of noise protection patients and those who frequently use noise protection equipment in the loss group were significantly lower than those in the control group,and the differences were statistically significant(P<0.05).The results of the Logistic regression model showed that older age,comorbidities with chronic diseases,longer working experience,lack of noise protection,and occasional or never use of noise protection equipment were independent risk factors for hearing loss in noise exposed workers(P<0.05).CONCLUSION There are many factors that can affect the occurrence of hearing loss among workers exposed to noise.Targeted preventive interventions based on high-risk factors can reduce the risk of hearing loss in the population.
