Is the Level of Noise in a School Environment be Harmful to the Hearing of Teachers?

Abstract Introduction The excessive noise observed in the school environment can cause damages or losses to the learning process as well as risks to the health of teachers and students, such as physical, mental and social impairments, including, among them, hearing loss. Objective To assess otoacoustic emissions in teachers and determine whether classroom noise reduces distortion-product otoacoustic emissions (DPOAEs) amplitude and signal-to-noise ratio (SNR). Method Sixty-seven teachers were evaluated using otoacoustic emissions testing in two situations: after hearing rest and after the working day. Results Signal amplitude (p = 0.044 [2 kHz]; p = 0.01 [4 kHz]) and SNR for frequencies of 2 kHz (p = 0.008) and 4 kHz (p = 0.001) decreased significantly between time points. Mean classroom noise was associated with the magnitude of the difference in signal amplitude at 2 kHz (p = 0.017) and 4 kHz (p = 0.015), and SNR at 4 kHz (p = 0.023). Conclusions There was a decrease in the amplitude and in the SNR after exposure to the noise in the classroom environment. The high levels of sound pressure that teachers are exposed to on a daily basis can cause a temporary change in the outer hair cells of the Corti organ, and these changes may become permanent over time.

Is the Level of Noise in a School Environment be Harmful to the Hearing of Teachers?

Introduction The excessive noise observed in the school environment can cause damages or losses to the learning process as well as risks to the health of teachers and students, such as physical, mental and social impairments, including, among them, hearing loss. Objective To assess otoacoustic emissions in teachers and determine whether classroom noise reduces distortion-product otoacoustic emissions (DPOAEs) amplitude and signal-to-noise ratio (SNR). Method Sixty-seven teachers were evaluated using otoacoustic emissions testing in two situations: after hearing rest and after the working day. Results Signal amplitude ( p = 0.044 [2 kHz]; p = 0.01 [4 kHz]) and SNR for frequencies of 2 kHz ( p = 0.008) and 4 kHz ( p = 0.001) decreased significantly between time points. Mean classroom noise was associated with the magnitude of the difference in signal amplitude at 2 kHz ( p = 0.017) and 4 kHz ( p = 0.015), and SNR at 4 kHz ( p = 0.023). Conclusions There was a decrease in the amplitude and in the SNR after exposure to the noise in the classroom environment. The high levels of sound pressure that teachers are exposed to on a daily basis can cause a temporary change in the outer hair cells of the Corti organ, and these changes may become permanent over time.

Study of the noise spectrum on high frequency thresholds in workers exposed to noise.

UNLABELLED: Noise level can be quantified and qualified based on sound characteristics such as intensity, type of spectrum, duration and distribution of the noise exposure during one's working hours. OBJECTIVE: To assess noise spectrum and the audiometric configuration of workers. MATERIALS AND METHODS: Contemporary cross-sectional cohort carried out in the Federal District - Brazil. We did an environmental analysis (spectral analysis) of the noise in companies from different industries, with audiological assessment of 347 workers. RESULTS: The spectral analysis revealed peaks at different frequencies for each industry investigated (8 kHz-metallurgical, 4 kHz-stone Works and 2 kHz-wood works). We noticed that the frequencies of 14 kHz and 16 kHz had significant differences between the various industries, with a greater prevalence of the metallurgical. CONCLUSION: The use of noise pressure measuring device, coupled to a frequency analyzer and high frequency audiometric assessment yielded an early detection of hearing damage, helping better organize preventive measures.

Estudo do espectro sonoro nos limiares de altas frequências em trabalhadores expostos ao ruído / Study of the noise spectrum on high frequency thresholds in workers exposed to noise

O grau de nocividade do ruído pode ser quantificado e qualificado com base em algumas características do som como sua intensidade, o tipo de espectro, duração e a distribuição da exposição ao ruído durante a jornada de trabalho. OBJETIVO: Avaliar o espectro de ruído e a configuração audiométrica em trabalhadores. MATERIAIS E MÉTODOS: Estudo de coorte contemporânea com corte transversal, realizado no Distrito Federal. Realizou-se avaliação ambiental (análise espectral) do ruído em empresas de diferentes ramos de atividade econômica e avaliação audiológica em 347 trabalhadores. RESULTADOS: A análise espectral revelou picos em diferentes frequências em cada ramo de atividade (8 kHz-metalúrgico, 4 kHz-marmoraria e 2 kHz-madeireira). Verificou-se que as frequências de 14 kHz e 16 kHz apresentaram diferenças significativas entre os ramos de atividade, com maior prevalência no metalúrgico. CONCLUSÃO: A utilização de medidor de nível de pressão sonora, acoplado a analisador de frequência e a avaliação audiométrica de altas frequências possibilitam a detecção precoce de danos auditivos que, por sua vez, viabiliza melhor direcionamento das ações preventivas.

Noise level can be quantified and qualified based on sound characteristics such as intensity, type of spectrum, duration and distribution of the noise exposure during one's working hours. OBJECTIVE: To assess noise spectrum and the audiometric configuration of workers. MATERIALS AND METHODS: Contemporary cross-sectional cohort carried out in the Federal District - Brazil. We did an environmental analysis (spectral analysis) of the noise in companies from different industries, with audiological assessment of 347 workers. RESULTS: The spectral analysis revealed peaks at different frequencies for each industry investigated (8 kHz-metallurgical, 4 kHz-stone Works and 2 kHz-wood works). We noticed that the frequencies of 14 kHz and 16 kHz had significant differences between the various industries, with a greater prevalence of the metallurgical. CONCLUSION: The use of noise pressure measuring device, coupled to a frequency analyzer and high frequency audiometric assessment yielded an early detection of hearing damage, helping better organize preventive measures.