This statistic shows the estimated number of people with disabling hearing loss worldwide in 2019 and projections for 2030, 2040, and 2050. In 2019, it was estimated that around 430 million people suffered from disabling hearing loss. This number is projected to increase to around 711 million by the year 2050.

As of 2019, people from the Western Pacific, South-East Asia, and African regions had the highest prevalence of hearing loss worldwide. This statistic shows the prevalence of hearing loss worldwide as of 2019, by region.

This publication contains detailed statistics of persons registered as deaf and hard of hearing with Councils with Social Services Responsibilities (CSSRs) in England.

This measure represents the percentage of identified as having deaf & hard of hearing impairments who were competitively employed after receiving services from Iowa Vocational Rehabilitation Services.

This statistic shows the estimated number of people with disabling hearing loss in select countries worldwide in 2008 and 2018. In 2018, it was estimated that around 15 million people suffered from disabling hearing loss in the United States.

Financial overview and grant giving statistics of Hearing Speech & Deafness Center

ABSTRACT Aim: to characterize the health or education centers that work with deaf children from an early age. Methods: a survey of those in charge of centers for people with hearing loss (N=5), special schools for the deaf (N=3) and hospitals in which therapeutic intervention for people with hearing impairments (N=6) was carried out in Santiago, Chile in 2014. It consulted the characteristics of the people attended, the intervention method used at each center and information about the professionals making up each team of workers. In addition, information was compiled about whether the institution had inclusion programmes for normal or special education. Results: the majority of the institutions indicated that they had an oral focus or a variation on this. Only one used the bilingual intercultural model and another indicated that did not use oral models. The results varied concerning access to education and even to professionals, at centers of the same kind. Conclusion: the majority of the institutions indicated that they worked using the oral intervention methodology, providing fewer options for the early inclusion of bilingual intercultural education or other intervention methodologies.

Financial overview and grant giving statistics of Center for Early Intervention on Deafness

Financial overview and grant giving statistics of Deaf and Hard of Hearing Services

Financial overview and grant giving statistics of Hearing Loss Association Of America Inc

The dataset contains audiometric data collected from audiograms performed on workers who were exposed to hazardous noise levels on the job (≥85 dBA) and were tested to comply with government regulations or safety recommendations. The audiometric data from this dataset is based on audiograms performed from 2000 to 2008.

INTRODUCTION: Research has shown that hearing loss in musicians may cause difficulty in timbre recognition and tuning of instruments. AIM: To analyze the hearing thresholds from 250 Hz to 16,000 Hz in a group of music students and compare them to a non-musician group in order to determine whether high-frequency audiometry is a useful tool in the early detection of hearing impairment. METHODS: Study design was a retrospective observational cohort. Conventional and high-frequency audiometry was performed in 42 music students (Madsen Itera II audiometer and TDH39P headphones for conventional audiometry, and HDA 200 headphones for high-frequency audiometry). RESULTS: Of the 42 students, 38.1% were female students and 61.9% were male students, with a mean age of 26 years. At conventional audiometry, 92.85% had hearing thresholds within normal limits; but even within the normal limits, the worst results were observed in the left ear for all frequencies, except for 4000 Hz; compared to the non-musician group, the worst results occurred at 500 Hz in the left ear, and at 250 Hz, 6000 Hz, 9000 Hz, 10,000 Hz, and 11,200 Hz in both the ears. CONCLUSION: The periodic evaluation of high-frequency thresholds may be useful in the early detection of hearing loss in musicians.

ABSTRACT Objective: to explore the communication of family health team professionals in providing healthcare for deaf people. Methods: this cross-sectional study was comprised of 39 Family Health teams located in urban and rural areas. A census was conducted and some questionnaires were applied to the Family Health Professionals (31 doctors, 30 nurses, 27 dental surgeons and 4 pharmacists) from the Family Health Support Centers. Results: the great majority of the personnel (60.8%) reported being aware of the existence of Brazilian Sign Language, but none of the interviewees had used it to communicate. Most of the Family Health Team personnel (68.5%) had provided care to a deaf person at some time. However, none of them had taken a complementary course or received any specialized training. Conclusion: the relational dimension is fundamental in developing individual therapy plans. From this perspective, the communication barriers that deaf people face can compromise the necessary bonding for healthcare, which may adversely affect early diagnosis, timely treatment, and adherence to required treatment.

description: Missouri Deaf and Hard of Hearing Demographics Statistics; abstract: Missouri Deaf and Hard of Hearing Demographics Statistics

This is the Supporting Datasets for the manuscript "Machine learning-based genetic diagnosis models for hereditary hearing loss by the GJB2, SLC26A4 and MT-RNR1 mutations" by Luo et al in EBiomedicine . The two data sets were processed sequencing data, of which the Discovery Set was from the medical records and the Validation Set was from the Disabled Persons' Federation. PS: No mutations found were indicated by 0, heterozygous mutations by 1, and homozygous mutations by 2

This repository contains raw and processed data used and described in:

R. Sanchez-Lopez, S.G. Nielsen, M. El-Haj-Ali, F. Bianchi, M, Fereckzowski, O. Cañete, M. Wu, T. Neher, T. Dau and S. Santurette (under review). ``Auditory tests for characterizing hearing deficits in listeners with various hearing abilities: The BEAR test battery,''. submitted to Frontiers in Neuroscience

[Preprint available in medRxiv: https://doi.org/10.1101/2020.02.17.20021949]

One aim of the Better hEAring Rehabilitation (BEAR) project is to define a new clinical profiling tool, a test-battery, for individualized hearing loss characterization. Whereas the loss of sensitivity can be efficiently assessed by pure-tone audiometry, it still remains a challenge to address supra-threshold hearing deficits using appropriate clinical diagnostic tools. In contrast to the classical attenuation-distortion model (Plomp, 1986), the proposed BEAR approach is based on the hypothesis that any listener’s hearing can be characterized along two dimensions reflecting largely independent types of perceptual distortions. Recently, a data-driven approach (Sanchez-Lopez et al., 2018) provided evidence consistent with the existence of two independent sources of distortion, and thus different auditory profiles. Eleven tests were selected for the clinical test battery, based on their feasibility, time efficiency and related evidence from the literature. The proposed tests were divided into five categories: audibility, speech perception, binaural-processing abilities, loudness perception, and spectro-temporal resolution. Seventy-five listeners with symmetric, mild-to-severe sensorineural hearing loss were selected from a clinical population of hearing-aid users. The participants completed all tests in a clinical environment and did not receive systematic training for any of the tasks. The analysis of the results focused on the ability of each test to pinpoint individual differences among the participants, relationships among the different tests, and determining their potential use in clinical settings. The results might be valuable for hearing-aid fitting and clinical auditory profiling.

Please cite this article when using the data

The Dataset BEAR3 has also been used in:

Sanchez-Lopez R, Fereczkowski M, Neher T, Santurette S, Dau T. Robust Data-Driven Auditory Profiling Towards Precision Audiology. Trends in Hearing. January 2020. doi:10.1177/2331216520973539

Sanchez-Lopez, R., Fereczkowski, M., Neher, T., Santurette, S., & Dau, T. (2020). Robust auditory profiling: Improved data-driven method and profile definitions for better hearing rehabilitation. Proceedings of the International Symposium on Auditory and Audiological Research, 7, 281-288. Retrieved from https://proceedings.isaar.eu/index.php/isaarproc/article/view/2019-32

and

Sanchez Lopez, R., Nielsen, S. G., Cañete, O., Fereczkowski, M., Wu, M., Neher, T., Dau, T., & Santurette, S. (2019). A clinical test battery for Better hEAring Rehabilitation (BEAR): Towards the prediction of individual auditory deficits and hearing-aid benefit. In Proceedings of the 23rd International Congress on Acoustics (pp. 3841-3848). Deutsche Gesellschaft für Akustik e.V.. https://doi.org/10.18154/RWTH-CONV-239177

Description of the files:

• BEAR2.xlsx: Anonymized raw data obtained using the BEAR test battery.
• BEAR2_YNH.xlsx: Additional anonymized raw data obtained using the BEAR test battery with young normal-hearing listeners.
• BEAR3.xlsx: Anonymized processed data for statistical data analysis.
• BEAR3_Results_AProfiling.xlsx: BEAR3 dataset including the profiles, probabilities to belong to each of the four profiles and estimated degree of Distortion type-I and Distortion type-II.
• BEAR_Reliability.xlsx: Anonymized raw data similar to BEAR2 for the reliability study.
• DataParticipants.xlsx: Anonymized basic data associated with the participants: Gender, Age, PTA, etc.
• TestBatteryMethods_v1.1.pdf: Documentation of the test methods. Protocol included and corrections.
• Reliability_v1.0.pdf: Detailed explanation about the test-retest reliability study carried out with a subset of the participants.

* The participant IDs in each of the files has been assigned randomly to ensure the anonymization of the data. The pseudo-anonymized data might be shared under request by direct correspondence with the authors.

Financial overview and grant giving statistics of Hearing Loss Association of America Inc. - Fox Valley Chapter

Purpose: Falls are considered a significant public health issue, and hearing loss has been shown to be an independent risk factor for falls. The primary objective of this study was to determine if hearing aid use modified (reduced) the association. We hypothesized that routine hearing aid use would reduce the impact of hearing loss on the odds of falling. If hearing aid users have reduced odds of falling, then that would have an important impact on falls prevention health care.Method: Data from 8,091 individuals 40 years of age and older who completed National Health and Nutrition Examination Survey (NHANES) cycles 1999–2004 were used. NHANES comprises a series of cross-sectional studies, each of which is representative of the total civilian noninstitutionalized population of children and adults in the United States, enabling unbiased national estimates of health that can be independently reproduced. Self-reported hearing, hearing aid status, falls history, and comorbidities were extracted and analyzed using regression modeling.Results: The 8,091 individuals were grouped based on a self-reported history of falls in the last year. Self-reported hearing loss was significantly associated with odds of falling. Categorizing individuals based on routine hearing aid use was included as an interaction term in the fully adjusted models and was not significant, suggesting no difference in falls based on hearing aid status.Conclusions: The unique results of the current study show that when examining self-reported hearing in a nationally representative sample, hearing aid use does not appear to mitigate or modify the association between self-reported hearing and falls. Future research designs are highlighted to address limitations identified using NHANES data for this research, and focus on the use of experimental designs to further understand the association between hearing loss and falls, and whether hearing loss may be a modifiable risk factor for falls.Supplemental Material S1. NHANES variables used to define measures of interest.Supplemental Material S2. Odds ratio of self-reported falls by hearing loss as measured by hearing handicap.Riska, K. M., Peskoe, S. B., Gordee, A., Kuchibhatla, M., & Smith, S. L. (2021). Preliminary evidence on the impact of hearing aid use on falls risk in individuals with self-reported hearing loss. American Journal of Audiology. Advance online publication. https://doi.org/10.1044/2021_AJA-20-00179

ABSTRACT In this article, we investigate what deaf people report about the discovery of their own deafness diagnosis. Our data was collected in a focal group composed of five poor deaf adults conducted by a multidisciplinary team (educator, psychologist and sign language interpreter). All meetings were held in 2013 in Brasília, Brazil. As a result of our analysis, we identified narrative fragments which reveal two interdependent aspects of the impact of deafness diagnosis on the subjective identity: a) the iatrogenic effect; and b) the dramatic reconfiguration of parental relations after diagnosis. Our conclusion indicates that, after the discovery of their deafness, subjects become identified in the light of the unwelcome deficiency.

Historical Dataset of Deaf And Hard Of Hearing Continuum is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2009-2023),Total Classroom Teachers Trends Over Years (2009-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2009-2023),Asian Student Percentage Comparison Over Years (2009-2023),Hispanic Student Percentage Comparison Over Years (2009-2023),Black Student Percentage Comparison Over Years (2009-2023),White Student Percentage Comparison Over Years (2009-2023),Two or More Races Student Percentage Comparison Over Years (2022-2023),Diversity Score Comparison Over Years (2009-2023),Free Lunch Eligibility Comparison Over Years (2009-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2009-2023)