The relationship between hearing status, listening effort, and the need for recovery in employees of a manufacturing company.

OBJECTIVE: Hearing screening can be used to detect hearing loss, but its value for identifying employees with work functioning difficulties is unclear. The objective of this study was to assess the association between the hearing status measured with an occupational hearing-in-noise screening test, Listening Effort (LE), and Need For Recovery (NFR) in employees of a manufacturing company, and to examine whether these associations depend on the perceived noise level at the workplace. METHODS: Employees of coatings and paints manufacturing company were included. Their hearing status was assessed with an occupational hearing-in-noise screening test. An online survey was used to assess their LE, NFR, and the perceived noise level at the workplace. Responses from 143 employees were analyzed (mean age = 53 years) using hierarchical multiple regression analysis with the outcomes LE and NFR. RESULTS: Regression analysis-with adjustments for gender, age, educational level, health status, pace/amount of work, job variety, and work pleasure-revealed that hearing status was significantly associated with LE, but the interaction between hearing status and the perceived noise level was not. Hearing status nor the interaction between hearing status and the perceived noise level was significantly associated with NFR. CONCLUSION: The results confirm that poorer hearing is associated with higher LE, but not with higher NFR. These associations were unrelated to the perceived noise level at the workplace. Therefore, the value of occupational hearing screening appears to be early identification of hearing loss in employees, but not identification of work functioning difficulties.

Evaluation of an internet-based speech-in-noise screening test for school-age children.

OBJECTIVE: To evaluate a Dutch online speech-in-noise screening test (in Dutch: "Kinderhoortest") in normal-hearing school-age children. Sub-aims were to study test-retest reliability, and the effects of presentation type and age on test results. DESIGN: An observational cross-sectional study at school. Speech reception thresholds (SRTs) were obtained through the online test in a training condition, and two test conditions: on a desktop computer and smartphone. The order of the test conditions was counterbalanced. STUDY SAMPLE: Ninety-four children participated (5-12 years), of which 75 children were normal-hearing (≤25 dB HL at 0.5 kHz, ≤20 dB HL at 1-4 kHz). RESULTS: There was a significant effect for test order for the two test conditions (first or second test), but not for presentation type (desktop computer or smartphone) (repeated measures analyses, F(1,75) = 12.48, p < 0.001; F(1,75) = 0.01, p = 0.982). SRT significantly improved by age year (first test: 0.25 dB SNR, 95% CI: -0.43 to -0.08, p = 0.004. Second test: 0.29 dB SNR, 95% CI: -0.46 to -0.11; p = 0.002). CONCLUSIONS: The online test shows potential for routine-hearing screening of school-age children, and can be presented on either a desktop computer or smartphone. The test should be evaluated further in order to establish sensitivity and specificity for hearing loss in children.

Laboratory evaluation of an optimised internet-based speech-in-noise test for occupational high-frequency hearing loss screening: Occupational Earcheck.

OBJECTIVE: The "Occupational Earcheck" (OEC) is a Dutch online self-screening speech-in-noise test developed for the detection of occupational high-frequency hearing loss (HFHL). This study evaluates an optimised version of the test and determines the most appropriate masking noise. DESIGN: The original OEC was improved by homogenisation of the speech material, and shortening the test. A laboratory-based cross-sectional study was performed in which the optimised OEC in five alternative masking noise conditions was evaluated. STUDY SAMPLE: The study was conducted on 18 normal-hearing (NH) adults, and 15 middle-aged listeners with HFHL. RESULTS: The OEC in a low-pass (LP) filtered stationary background noise (test version LP 3: with a cut-off frequency of 1.6 kHz, and a noise floor of -12 dB) was the most accurate version tested. The test showed a reasonable sensitivity (93%), and specificity (94%) and test reliability (intra-class correlation coefficient: 0.84, mean within-subject standard deviation: 1.5 dB SNR, slope of psychometric function: 13.1%/dB SNR). CONCLUSIONS: The improved OEC, with homogenous word material in a LP filtered noise, appears to be suitable for the discrimination between younger NH listeners and older listeners with HFHL. The appropriateness of the OEC for screening purposes in an occupational setting will be studied further.

Language-Independent Hearing Screening - Increasing the Feasibility of a Hearing Screening Self-Test at School-Entry.

A tablet-based language-independent self-test involving the recognition of ecological sounds in background noise, the Sound Ear Check (SEC), was adapted to make it feasible for young children. Two experiments were conducted. The first experiment investigated the SEC's feasibility, as well as its sensitivity and specificity for detecting childhood hearing loss with a monaural adaptive test procedure. In the second experiment, the SEC sounds, noise, and test format were adapted based on the findings of the first experiment. The adaptations were combined with three test procedures, one similar to the one used in Experiment 1, one presenting the sounds dichotically in diotic noise, and one presenting all the sounds with a fixed signal-to-noise ratio and a stopping rule. Results in young children show high sensitivity and specificity to detect different grades of conductive and sensorineural hearing loss (70-90%). When using an adaptive, monaural procedure, the test duration was approximately 6 min, and 17% of the results obtained were unreliable. Adaptive staircase analyses showed that the unreliable results probably occur due to attention/motivation loss. The test duration could be reduced to 3-4 min with adapted test formats without decreasing the test-retest reliability. The unreliable test results could be reduced from 17% to as low as 5%. However, dichotic presentation requires longer training, reducing the dichotic test format's feasibility.

Speech-in-noise screening tests by internet, part 1: test evaluation for noise-induced hearing loss identification.

OBJECTIVE: In the Netherlands three internet-based self-screening tests have been developed; the National Hearing Test (NHT), Earcheck (EC), and Occupational Earcheck (OEC). These tests are adaptive speech-in-noise tests using either digit triplets or monosyllables, presented in stationary speech-shaped noise. These tests can be highly valuable in increasing the awareness and prevention of noise-induced hearing loss (NIHL). This study evaluates these online speech-in-noise tests and investigates their potential to detect NIHL. DESIGN: In a multi-centre study the results of the three online screening tests are compared to pure-tone audiometry and to the Dutch sentence SRT test ( Plomp & Mimpen, 1979a ), which is considered the clinical standard. STUDY SAMPLE: In total, 49 normal-hearing listeners and 49 patients with different degrees of NIHL participated. RESULTS: The online tests show good reliability, but there is much overlap in outcomes between normal-hearing listeners and participants with early NIHL. In addition, rather low correlations of the test results with both the Dutch sentence SRT test and pure-tone thresholds are found. These findings result in rather low test sensitivity: 54% (NHT) and 51% (EC), or low specificity: 49% (OEC). CONCLUSIONS: The online screening tests in their current form are unsuitable to be used for early NIHL screening purposes.

Speech-in-noise screening tests by internet, part 2: improving test sensitivity for noise-induced hearing loss.

OBJECTIVE: An easily accessible screening test can be valuable in the prevention of noise-induced hearing loss (NIHL). The Dutch National Hearing Foundation developed 'Earcheck', an internet-based speech-in-noise test, presenting CVC-words in stationary broadband noise. However, its sensitivity to detect NIHL appeared to be low, 51% ( Leensen et al, 2011 , part 1). The aim of the current study is to examine ways to improve Earcheck's sensitivity for (early) NIHL using different forms of noise filtering. DESIGN: The test's stationary broadband masking noise is replaced by six alternatives, including noises that have been temporally modulated, spectrally filtered by high-pass or low-pass filters, and combinations of temporal modulation and spectral filtering. STUDY SAMPLE: In this multi-centre study, 49 normal-hearing and 49 subjects with different degrees of NIHL participated. RESULTS: Hearing-impaired subjects deviated more clearly from normal performance when executing the test with alternative masking noises, except for the high-pass filtered conditions. Earcheck with low-pass filtered noise made the best distinction between normal hearing and NIHL, without reducing test reliability. The use of this noise condition improved the sensitivity of Earcheck to 95%. CONCLUSION: The use of low-pass filtered masking noise makes speech-in-noise tests more sensitive to detect NIHL in an early stage.

[Industrial wind turbine noise: the association with human health]. / Geluid van industriële windturbines.

Climate targets will provide the Netherlands with more and higher industrial wind turbines that produce various 'side effects', including noise pollution and annoyance. Especially low-frequency noise and infrasonic vibrations can be detected more than 10 km away. In neighbouring residential areas, long-term exposure, especially at night, leads to sleep disturbances, with secondary symptoms, that may be associated with, for example, delay in cognitive development of children. More research is needed.

Modelling the speech reception threshold in non-stationary noise in hearing-impaired listeners as a function of level.

The extended speech intelligibility index (ESII) model (Rhebergen et al, 2006) forms an upgrade to the conventional speech intelligibility index model. For normal-hearing listeners the ESII model is able to predict the speech reception threshold (SRT) in both stationary and non-stationary noise maskers. In this paper, a first attempt is made to evaluate the ESII with SRT data obtained by de Laat and Plomp (1983), and Versfeld and Dreschler (2002) of hearing-impaired listeners in stationary, 10-Hz interrupted, and non-stationary speech-shaped noise measured at different noise levels. The results show that the ESII model is able to describe the SRT in different non-stationary noises for normal-hearing listeners at different noise levels reasonably well. However, the ESII model is less successful in the case of predicting the SRT in non-stationary noise for hearing-impaired subjects. As long as the present audibility models cannot describe the auditory processing in a listener with cochlear hearing loss accurately, it is difficult to distinguish between raised SRTs due to supra-threshold deficits or factors such as cognition, age, and language skills.

[Do hearing aids live up to their promises?] / Doen hoortoestellen wel wat ze beloven?

The main type of acquired hearing impairment is presbycusis (age-related hearing impairment). In presbycusis, mainly the high tones are no longer heard properly. In the Netherlands, approximately 2 million people are hard of hearing. About one third of all hearing impaired people have 1 or 2 hearing aids. 90% of the group of hearing aid users consists of people over 65. 15% of hearing aid users never or rarely use their hearing aid. The main complaint of hearing aid users is a reduced understanding of speech in noise. When the hearing impaired start to avoid a noisy setting, this can lead to symptoms of sadness and loneliness. Hearing aids live only partially up to promises. Both more information about hearing aids and more support for hearing aid users are necessary to achieve greater satisfaction.

Noise Exposure and Hearing Loss among Brewery Workers in Lagos, Nigeria.

The health risks of exposure to loud noises are a well-established fact and are widely addressed in modern industries. Yet, in less developed countries, it is thought these hazards receive less attention, both in the workplace and in private life. (1) Background: The aim of this study is to assess the occupational noise exposure in a developing country and identify possible risk groups for whom intervention is needed. (2) Methods: A cross-sectional study was performed among brewery employees in Lagos, Nigeria. Pure-tone audiometry (PTA) was performed, paired with a self-report questionnaire. Personal noise dosimetry (PND) was also performed with an additional group of participants. (3) Results: A total of 458 employees were submitted to PTA. The Packaging and Utilities department reported the largest shifts in hearing thresholds (18 dB [sd = 15] and 16 dB [sd = 15] @4kHz, respectively). No significant effect of department type on auditory health could be found. PND results were obtained from 39 employees. Packaging and Sales were identified as the most exposed departments. (4) Conclusions: A healthy hearing profile was found for a large proportion of the brewery employees (91.7%). However, NIHL (noise-induced hearing loss) proportions specifically among Bottling and Sales employees were elevated.

Language-Independent Hearing Screening Based on Masked Recognition of Ecological Sounds.

A language-independent automated self-test on tablet based on masked recognition of ecological sounds, the Sound Ear Check (SEC), was developed. In this test, 24 trials of eight different sounds are randomly presented in a noise that was spectrally shaped according to the average frequency spectra of the stimulus sounds, using a 1-up 2-down adaptive procedure. The test was evaluated in adults with normal hearing and hearing loss, and its feasibility was investigated in young children, who are the target population of this test. Following equalization of perceptual difficulty across sounds by applying level adjustments to the individual tokens, a reference curve with a steep slope of 18%/dB was obtained, resulting in a test with a high test-retest reliability of 1 dB. The SEC sound reception threshold was significantly associated with the averaged pure tone threshold (r = .70), as well as with the speech reception threshold for the Digit Triplet Test (r = .79), indicating that the SEC is susceptible to both audibility and signal-to-noise ratio loss. Sensitivity and specificity values on the order of magnitude of ∼70% and ∼80% to detect individuals with mild and moderate hearing loss, respectively, and ∼80% to detect individuals with slight speech-in-noise recognition difficulties were obtained. Homogeneity among sounds was verified in children. Psychometric functions fitted to the data indicated a steep slope of 16%/dB, and test-retest reliability of sound reception threshold estimates was 1.3 dB. A reference value of -9 dB signal-to-noise ratio was obtained. Test duration was around 6 minutes, including training and acclimatization.

Cross-sectional evaluation of an internet-based hearing screening test in an occupational setting.

Objectives The Occupational Earcheck (OEC) is an online internet test to detect high-frequency hearing loss for the purposes of occupational hearing screening. In this study, we evaluated the OEC in an occupational setting in order to assess test sensitivity, specificity, and validity. Methods A cross-sectional study was conducted in 2015, in which the optimized OEC was evaluated on 94 employees from the army and three different companies in construction and manufacturing. Subjects underwent OEC in an office-like room. Pure-tone air conduction audiometry was performed as a reference test. The OEC was repeated for a subset of subjects (N=19). Important test characteristics (ie, sensitivity and specificity, test validity, and test-retest reliability) were assessed. Results When analyzed on the individual level, the sensitivity and specificity of OEC were 90% and 77%, respectively. The speech reception threshold results correlated strongly with the pure-tone average of the frequencies 3, 4 and 6 kHz, reflecting good test validity (r=0.79). The difference between test and retest was not significant. The intra-class correlation coefficient was moderate (r=0.57), indicating a reasonable agreement between test and retest. Conclusions The OEC appears to be a suitable test for the detection of high-frequency hearing loss among noise-exposed employees, with good sensitivity and specificity values, even when performed in a semi-controlled occupational setting, though a possible learning effect should be taken into account.

Age Dependence of Thresholds for Speech in Noise in Normal-Hearing Adolescents.

Previously found effects of age on thresholds for speech reception thresholds in noise in adolescents as measured by an online screening survey require further study in a well-controlled teenage sample. Speech reception thresholds (SRT) of 72 normal-hearing adolescent students were analyzed by means of the online speech-in-noise screening tool Earcheck (In Dutch: Oorcheck). Screening was performed at school and included pure-tone audiometry to ensure normal-hearing thresholds. The students' ages ranged from 12 to 17 years. A group of young adults was included as a control group. Data were controlled for effects of gender and level of education. SRT scores within the controlled teenage sample revealed an effect of age on the order of an improvement of -0.2 dB per year. Effects of level of education and gender were not significant. Hearing screening tools that are based on SRT for speech in noise should control for an effect of age when assessing adolescents. Based on the present data, a correction factor of -0.2 dB per year between the ages of 12 and 17 is proposed. The proposed age-corrected SRT cut-off scores need to be evaluated in a larger sample including hearing-impaired adolescents.

Clinical ototoxicity of teicoplanin.

No strong evidence of ototoxicity of teicoplanin can be found in the literature, possibly because of conservative definitions of ototoxicity. We performed audiometry over time to compare the ototoxicity of teicoplanin with that of cloxacillin as a non-ototoxic standard. The data were analyzed with a linear mixed-effects model. The hearing thresholds of 12 patients who were treated with teicoplanin for severe staphylococcal infections showed a slight but significant increase over time, whereas the thresholds of 5 patients treated with cloxacillin decreased significantly during treatment. This improvement in hearing with cloxacillin may be attributed to improvement of the clinical condition. This outcome implies that previous reports that suggest a lack of ototoxicity of teicoplanin potentially underestimate the risk and should be interpreted accordingly.

Gene dose of apolipoprotein E and age-related hearing loss.

Next to outer hair cell dysfunction, age-related hearing loss may be explained by apolipoprotein E (APOE) genotype. In the Leiden 85-plus Study, a population-based study, the participants were 85 years old. We measured hearing loss by pure-tone audiometry in 435 participants in relation to APOE. Results demonstrated that those with the APOE-ε4/ε4 genotype had the highest levels of hearing loss (n = 6; 56.1 dB), those with the APOE-ε3/ε4 or ε2/ε4 genotype (n = 89) had intermediate levels of hearing loss (51.0 dB), and those without the APOE-ε4 allele (n = 340) had the lowest levels of hearing loss (48.9 dB), p for trend = 0.02. Eighty percent of participants had hearing loss of 35 dB and more, that is, hearing impairment. The APOE-ε4 allele was associated with a 2.0-fold increased risk of hearing impairment (confidence interval [CI 95%], 1.0-4.0), compared with those without the APOE-ε4 allele. The risk for hearing impairment in subjects with the APOE-ε4 allele remained similar after adjustment for cardiovascular disease, stroke, and cognitive impairment. Our results suggest that the APOE-ε4 allele contributes to age-related hearing loss.

Initial evaluation of the Clarion CII cochlear implant: speech perception and neural response imaging.

OBJECTIVE: To evaluate the new Clarion CII cochlear implant with the perimodiolar HiFocus electrode array, including both speech perception outcomes and the device's capabilities of measuring the electrically evoked compound action potential (eCAP) of the auditory nerve (Neural Response Imaging, NRI). DESIGN: The speech perception scores on CVC words without lip reading were monitored prospectively for the 10 postlingually deaf patients implanted with the Clarion CII device in the period July 2000 until May 2001 in the Leiden University Medical Center. Preoperative and postoperative NRI recordings were made, applying various combinations of monopolar stimulating and recording electrodes with the alternating polarity paradigm available in the test bench software. RESULTS: Nine patients preferred the CIS, one the PPS strategy, none the SAS strategy. With their favorite strategy they acquired significant open set speech understanding within a few weeks, resulting in an average CVC phoneme score of 84% (word score 66%) at the end of the study (follow-up 3 to 11 mo). In speech-shaped noise, the average phoneme recognition threshold (PRT) was reached at a signal to noise ratio just below 0 dB. The NRI recordings had clear N1 and P1 peaks if there was at least one contact between the stimulating and recording electrodes, necessitating just 15 sweeps for a reliable recording. We observed considerable inter-patient and inter-electrode variability, but for a given situation NRI input/output curves were stable over time. More apical contacts generally elicited larger eCAPs. Response amplitudes tended to peak at recording sites around apical and basal stimulating electrodes, suggesting a limited spread of excitation. Preliminary recordings with the forward masking paradigm were consistent with the ones with the alternating polarity scheme. CONCLUSIONS: The Clarion CII is a promising cochlear implant with which our first 10 patients have obtained excellent speech perception results. The NRI system yields high quality signals with a limited number of sweeps at a high sampling rate.