Survey of Teen Noise Exposure and Efforts to Protect Hearing at School — United States, 2020

Eichwald, John; Scinicariello, Franco

doi:10.15585/mmwr.mm6948a5

Cited by 11 publications

(6 citation statements)

References 6 publications

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“…Recent U.S. studies have associated an increase in teen and young adult hearing loss due to excessive exposure to loud environments and potentially an increased use of personal listening devices. 4 5 Hearing loss in younger age groups can have social and educational implications; so, it will be important to remain watchful of increasing hearing loss rates in future MarkeTrak studies.…”

Section: Comparing Self-reported Hearing Difficultymentioning

confidence: 99%

MarkeTrak and EuroTrak: What We Can Learn by Looking Beyond the U.S. Market

Powers

Bisgaard²

2022

Semin Hear

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The MarkeTrak survey of the trends in hearing aid use, satisfaction and adoption in the United States has been conducted since 1989 by the Hearing Industries Association. It provide the hearing aid industry with valuable about the consumers view of the products and services within the industry. The EuroTrak survey is conducted by the European Hearing Instrument Manufactures Association. It is the counterpart to MarkeTrak and provides similar data for over a dozen countries in Europe, and Asia. While there are differences in the distribution models and reimbursement methods for these counties, many of the key metrics concerning hearing aid use and satisfaction can be compared.

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Section: Comparing Self-reported Hearing Difficultymentioning

confidence: 99%

MarkeTrak and EuroTrak: What We Can Learn by Looking Beyond the U.S. Market

Powers

Bisgaard²

2022

Semin Hear

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“…Job exposure from noise is historically studied in heavy industry settings but less so in day care or school environments ( Eichwald and Scinicariello 2020 ).…”

Section: Introductionmentioning

confidence: 99%

An updated job-exposure matrix for occupational noise: development and validation

Sjöström,

Lewné,

Alderling

et al. 2023

Annals of Work Exposures and Health

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Objectives The aim of this study was to create a quantitative job-exposure matrix (JEM) for noise including a large set of measurements for the Swedish workforce, a detailed exposure-level assessment, spanning over an extensive time period from 1970 to 2014. Methods The JEM was developed by 2 teams, each with an experienced occupational hygienist and an occupational safety engineer. Each pair assessed the exposure using measurements performed and reported by occupational hygienists, occupational safety engineers, or similar, from 1970 to 2014. The measurements included either the original LAeq(8h) measurements or an LAeq(8h) levels calculated from partial measurements of the working day, provided that the measurement targeted a regular task usually performed during a full workday. The collection of measurement reports was done in 2008 and 2012 by contacting clinics working in the area of occupational health or occupational safety engineers and their submitted reports were added to our own material. Noise exposure assessments were inserted at the appropriate time period for the relevant job family. The final matrix was developed in a consensus procedure and the validity was investigated by comparison of the 2 team’s individual results. Results The noise JEM contains 321 job families with information regarding occupational noise from 1970 to 2014. The time-period label has a 5-yr scale starting in 1970. The estimated average 8 h (TWA) noise level in decibels [dB(A)] for every job family and 5-yr period was coded as 1: <70 dB(A), 2: 70 to 74 dB(A), 3: 75 to 79 dB(A), 4: 80 to 84 dB(A) or 5: 85(+) dB(A). The validation showed no systematic difference in relative position and very high agreement in the ordering of paired ordinal classifications. The JEM has also successfully been applied in several epidemiological studies. Conclusions We present a JEM for occupational noise using Swedish data from 1970 to 2014 with a higher degree of sensitivity in assessed noise exposure compared with the previously existing version. Repeated application of the JEM, in epidemiological studies, has shown consistent results and contributed to yielding important findings.

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“…It should be noted that not only the industrial or occupational noise exposures, but also the daily noise exposures (such as recreational and public transport noise exposure) may also cause the NIHL [ 5 – 7 ]. In a survey of the adolescent population in U.S., approximately three in four teenage students reported that they were once exposed to loud sound at school, and nearly half (46.5%) of students even reported that they were regularly exposed to loud sounds [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Development and initial validation of the Chinese Version of the Noise Exposure Questionnaire (C-NEQ)

et al. 2022

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Background With a high prevalence of noise-induced hearing loss (NIHL), the noise survey tools for identifying individuals with high risk of NIHL are still limited. This study was aimed to translate and develop a Chinese version of noise exposure questionnaire (C-NEQ), and validate its reliability and reproducibility. Methods This study was conducted from May 2020 to March 2021 in China. The questionnaire was translated from the original NEQ and adapted into Chinese culture using the method according to the International Test Committee. Content validity was evaluated by our expert group. Construct validity and reliability of the C-NEQ was determined through estimating the confirmatory factor analysis and Cronbach’s alpha in a cross-sectional analysis among 641 Chinese speaking adults, respectively. The retest reproducibility of the C-NEQ was analyzed by using the intra-group correlation coefficient (ICC) in a follow-up analysis among 151 participants. Results The C-NEQ comprises ten items covering four domains: occupational, housework, transport and recreational noise exposure. The annual noise exposure (ANE) was calculated as the protocol of original NEQ. A total of 641 adult participants (aged 26.9 ± 10.1 years, 53.4% males) completed the C-NEQ. The average time for completing the C-NEQ was 4.4 ± 3.0 min. Content validity indicated high relevance of the C-NEQ. The confirmatory factor analysis indices illustrated that the items of the C-NEQ were suitable with the data in the study. For the internal reliability, the Cronbach’s α coefficients of the total items and four domains (occupational, housework, transport, and recreational noise exposure) were 0.799, 0.959, 0.837, 0.825, and 0.803, respectively. Among them, 151 participants (aged 36.1 ± 11.1 years, 65.6% males) completed the retest of the C-NEQ 1 month after the first test. The ICC value of total ANEs between the first test and the second test was 0.911 (P < 0.001). Conclusions In this study, we have validated the C-NEQ with adequate reliability and reproducibility for quantifying an individual’s annual daily noise exposure, which provides an effective fast-screen tool for researches and clinics to identify those individuals with high risks of NIHL within the short time duration (no more than five minutes) among Chinese population.

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Survey of Teen Noise Exposure and Efforts to Protect Hearing at School — United States, 2020

Cited by 11 publications

References 6 publications

MarkeTrak and EuroTrak: What We Can Learn by Looking Beyond the U.S. Market

MarkeTrak and EuroTrak: What We Can Learn by Looking Beyond the U.S. Market

An updated job-exposure matrix for occupational noise: development and validation

Development and initial validation of the Chinese Version of the Noise Exposure Questionnaire (C-NEQ)

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