8287753 Profile of reported cases of occupational noise-induced hearing loss among drivers in the state of São Paulo, Brazil (2010–2022)

<h3>Objective</h3> To describe the profile of reported cases of occupational noise-induced hearing loss (NIHL) among drivers in the state of São Paulo, Brazil, from 2010 to 2022. <h3>Material and Methods</h3> This descriptive study was based on data from the Notifiable Diseases Information System (SINAN), available through the Brazilian public health database (DATASUS). Notifications of NIHL between 2010 and 2022 were filtered using the Brazilian Occupation Classification (CBO) 7825, referring to drivers. Variables analyzed included year of notification, age group, specific occupation, and duration of occupational noise exposure. <h3>Results</h3> A total of 70 cases of NIHL in drivers were reported during the study period, with an average of 5 cases per year. The highest number of notifications occurred in 2015 (14 cases). The most affected age group was 50–64 years (54%), followed by 35–49 years (24%), 65–79 years (19%), and 80 years or older (3%). The CBO code 782510 (truck drivers) accounted for 51% of the cases. The average duration of occupational noise exposure was 25 years, with a minimum of 7 years. <h3>Conclusion</h3> The analysis of NIHL notifications in drivers highlights the relevance of occupational health surveillance and the need for effective preventive strategies. While NIHL does not inherently result in work incapacity, it can lead to functional limitations that require individualized assessment and workplace adaptations to support worker rehabilitation and retention.

Authors

Institutions

Publication Details

Published
2025-10-01
DOI
https://doi.org/10.1136/oemed-2025-epicohabstracts.377
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

8287753 Profile of reported cases of occupational noise-induced hearing loss among drivers in the state of São Paulo, Brazil (2010–2022)

João Silvestre Silva-Júnior, Aristides Tadeu Correia, Ivan Dieb Miziara, Jessica Iracema Diogo Luís et al.
Noise Effects and Management
article

8287753 Profile of reported cases of occupational noise-induced hearing loss among drivers in the state of São Paulo, Brazil (2010–2022)

João Silvestre Silva-Júnior, Aristides Tadeu Correia, Ivan Dieb Miziara, Jessica Iracema Diogo Luís, Isabella Valentini
article en

Abstract

<h3>Objective</h3> To describe the profile of reported cases of occupational noise-induced hearing loss (NIHL) among drivers in the state of São Paulo, Brazil, from 2010 to 2022. <h3>Material and Methods</h3> This descriptive study was based on data from the Notifiable Diseases Information System (SINAN), available through the Brazilian public health database (DATASUS). Notifications of NIHL between 2010 and 2022 were filtered using the Brazilian Occupation Classification (CBO) 7825, referring to drivers. Variables analyzed included year of notification, age group, specific occupation, and duration of occupational noise exposure. <h3>Results</h3> A total of 70 cases of NIHL in drivers were reported during the study period, with an average of 5 cases per year. The highest number of notifications occurred in 2015 (14 cases). The most affected age group was 50–64 years (54%), followed by 35–49 years (24%), 65–79 years (19%), and 80 years or older (3%). The CBO code 782510 (truck drivers) accounted for 51% of the cases. The average duration of occupational noise exposure was 25 years, with a minimum of 7 years. <h3>Conclusion</h3> The analysis of NIHL notifications in drivers highlights the relevance of occupational health surveillance and the need for effective preventive strategies. While NIHL does not inherently result in work incapacity, it can lead to functional limitations that require individualized assessment and workplace adaptations to support worker rehabilitation and retention.

Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR)
Openalex Percentile: Top 63%
Noise Effects and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.