Influence of noise level and seniority in the workplace on the SAL, ELI and percentage of hearing loss indices in the diagnosis and prevention of hearing loss in the working population

被引:2
作者
Barrero, Jesus P. [1 ]
Garcia-Herrero, Susana [2 ]
Mariscal, Miguel A. [2 ]
机构
[1] Univ Burgos, Fac Econ Sci & Business Studies, Pza Infanta Da Elena S-N, Burgos 09001, Spain
[2] Univ Burgos, Higher Polytech Sch, Avda Cantabria S-N, Burgos 09006, Spain
关键词
Hearing loss; Bayesian network; SAL; ELI; Percentage; Noise level; BAYESIAN NETWORKS; FREQUENCY; WORKERS;
D O I
10.1016/j.jsr.2021.12.025
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Introduction: This research relates the most important work-related factors affecting the development of hearing loss to the main methods used as medical assessment criteria in the diagnosis of occupational deafness. These criteria are the Speech Average Loss Index (SAL), the Early Loss Index (ELI) and the Percentage of Hearing Loss, and are applied to data obtained from audiograms performed on workers in occupational medical examinations. Method: Depending on the assessment method selected, these often return different results in grading an individual's hearing status and predicting how it will evolve. To address this problem, medical examinations (including audiograms) were carried out on a heteroge-neous sample of 1,418 workers in Spain, from which demographic or personal data (gender, age, etc.), occupational data (noise level to which each individual is exposed, etc.) and other non-work-related fac-tors (exposure to noise outside work, family history, etc.) were also gathered. Using Bayesian Networks, the conditional probability of an individual developing hearing loss was obtained taking into account all these factors and, specifically, noise level and length of service in the workplace. Sensitivity analyses were also carried out using the three scales (SAL, ELI and Percentage Hearing Loss Index), proving their suitabil-ity as tools the diagnosis and prediction of deafness. These networks were validated under the Receiver Operating Characteristic curve (ROC) criterion and in particular by the Area Under the Curve (AUC). Results: The results show that all three methods are deficient in so far as detecting preventive hearing problems related to noise in most workplaces. Conclusions: The most restrictive methods for detecting possible cases of deafness are the SAL index and the Percentage Loss Index. The ELI index is the least restrictive of the three methods, but it is not able to discriminate the causes of hearing problems in an individual caused by exposure to noise, either by its intensity level or by the time of exposure to noise. Practical Applications: The use of the three methods in the field of occupational risk prevention is extre-mely limited and it seems reasonable to think that there is a need for the construction of new scales to correct or improve the existing ones. (c) 2021 The Author(s). Published by the National Safety Council and Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:428 / 440
页数:13
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