Figures
Abstract
Globally, hearing loss affects around 1.5 billion people, while tinnitus is estimated to impact around 740 million. More research is urgently needed to address the challenges presented by hearing loss, tinnitus, and other hearing-related conditions. Our plans for a Nottingham Hearing BioResource, providing research-willing volunteers and comprehensive tests of hearing and ear health repeated over time, has the potential to accelerate the field. The protocol described here is a feasibility study for this BioResource, specifically addressing questions of recruitment from the general population (i.e., outside of clinical audiology services or pathways). Participants with or without known hearing problems will be recruited for data collection. This study will quantify how feasible it will be to recruit and retain a large sample of the general population, and will suggest the demographic, and hearing condition status, distributions we could achieve for the BioResource. Data collection will involve a health and lifestyle questionnaire; cognitive assessment; five questionnaires about hearing loss, tinnitus, and hyperacusis; an estimation of lifetime noise exposure; a suite of in-depth audiological tests; and taking a hair sample. The same measurements will be taken on two separate occasions in person, and a third set of overlapping measurements will be taken remotely. Repeating the data collection will allow us to evaluate participant retention rates and establish the reliability of the measures. The findings from this feasibility study will allow us to assess which channels work well to recruit a diverse pool of participants, which, when used in conjunction with recruitment from clinic, will provide the basis for a recruitment strategy for our BioResource. In addition, we will gain useful insight into whether specific tests or questionnaires used in the feasibility study are suitable for inclusion in a deep phenotyping protocol.
Citation: Spriggs RV, Bateman P, Sanchez-Lopez R, Thornton SK, Phillips OR, Hoare DJ, et al. (2025) Deep phenotyping to understand hearing and hearing disorders: Protocol for a feasibility study. PLoS ONE 20(3): e0320418. https://doi.org/10.1371/journal.pone.0320418
Editor: Gauri Mankekar,, LSU Health Shreveport, United States of America
Received: December 4, 2024; Accepted: February 17, 2025; Published: March 26, 2025
Copyright: © 2025 Spriggs et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: No datasets were generated or analysed during the current study. All relevant data from this study will be made available upon study completion.
Funding: This work is funded by the National Institute for Health and Care Research (NIHR) Nottingham Biomedical Research Centre (www.nihr.ac.uk, Grant number NIHR203310, IMW, DJH, RVS, PB, RS-L, SKT, ORP), and by the NIHR Clinical Research Network East Midlands Under-Served Communities Fund (rdn.nihr.ac.uk, CRN UF31v2, IMW, RVS). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Hearing loss is a common condition estimated to affect around 1.5 billion people globally [1]. A majority of those affected are over 50 years old, but hearing loss and related conditions, such as tinnitus, can affect people of all ages. Hearing loss is known to reduce a person’s ability to communicate effectively, worsen quality of life, and increase social isolation [1]. Tinnitus, the conscious awareness of sound without an external stimulus [2], is estimated to affect around 14% of the global population [3] and similarly can cause distress and impair quality of life [4]. Currently, there are no curative treatments available for sensorineural hearing loss [5] or subjective tinnitus [6]. Hyperacusis (reduced sound tolerance) is also common and occurs independently of hearing loss [7]. More research is urgently needed to address the challenges presented by hearing loss, tinnitus, and other hearing-related conditions, and to develop new treatments and interventions.
The Hearing theme of the National Institute of Health and Care Research (NIHR) Nottingham Biomedical Research Centre (BRC) is establishing the Nottingham Hearing BioResource. This large-scale bioresource will help accelerate research by providing a database of research-willing participants and the results of comprehensive tests of hearing and ear health repeated over time. The contents (cohorts and data) of the BioResource will be made available to other researchers, in hearing and related fields, to carry out their own research. Metadata and summary data will be available to search in a web-based tool; access to individual-level data and/or cohorts will require an application to be made. Research proposals will be assessed, using the Five Safes framework [8] as a guide, by a data access panel comprising experts, patients, and representatives from the general public.
Large-scale longitudinal health datasets, or bioresources, such as the UK Biobank [9], the NIHR BioResource [10], and the Our Future Health project [11] are powerful tools for facilitating research into the mechanisms of human health and disease [12, 13]. A limitation of existing resources is that hearing health phenotypes are captured at a rudimentary level, or not at all. For example, in the UK Biobank there are self-report questions about hearing difficulties and hearing-aid use, but objective data are limited to an automated adaptive Digit Triplet Test (DTT [14]) of speech in noise, and these data are affected by, for example, differences in ambient noise at each UK Biobank test centre [15].
The Nottingham Hearing BioResource will be unique in combining deep auditory phenotyping (comprehensive information describing individual components of the auditory system [16]) with data on noise-exposure history and genetics (through collaboration with the national NIHR BioResource [10]). Lifetime noise exposure is known to be a risk factor for hearing loss and tinnitus [17]. One key role the Nottingham Hearing BioResource could play in the future is in helping to understand how gene – environment interactions determine hearing health.
The global burden of hearing loss is increasing dramatically, and it has become the third main contributor to years lived with disability worldwide [1]. Although prevention of, and access to treatment for, hearing problems is now an urgent matter [18], the efficacy of hearing treatments and service provision requires the correct and detailed diagnosis of different profiles of hearing loss and the discovery of distinct auditory phenotypes. Hearing loss is complex and there are a range of mechanisms of impairment that can lead to similar audiometry test results [19]. Identifying a specific cause for hearing loss, or a phenotypic subtype, is becoming more important with the advent of emergent auditory therapeutics [20, 21] that will target specific components of the auditory system, and therefore benefit subsets of patients.
Participants in the Nottingham Hearing BioResource, with and without hearing or ear problems, will undergo a series of in-depth tests to measure different aspects of hearing and ear health. Participants will also complete questionnaires to provide information about their hearing and general health, and provide samples such as hair and blood for biomarker and genetic analyses. The aim of the BioResource is to follow participants as they age, by periodically repeating tests and questionnaires, and adding new tests as necessary, to allow researchers to link together different aspects of data, identify long-term patterns (e.g., whether lifestyle changes can reduce a person’s susceptibility to experiencing tinnitus), and identify distinct groups of patients with similar phenotypes. Our aim is to leverage the power of large, accessible datasets in a way that can transform how we treat and manage hearing loss and hearing-related conditions in the future; a future where the population is ageing and the need for effective treatments is set to increase [22].
The protocol described here is for a feasibility study; a sample of participants will be recruited and tested to ensure that the core processes put in place, including recruitment channels, audiological test pipelines, and follow-up scheduling, are all working effectively. The population intended to participate in this research will be adults with or without hearing loss, tinnitus or any other hearing condition. We are not targeting any particular hearing conditions in our recruitment for the feasibility study. Efforts will be made to ensure that recruitment occurs across a broad spectrum of the population and results will be analysed with respect to this.
For the feasibility study, a subset of audiological tests will be used, and only samples of hair will be taken. Hair samples are requested to gauge participant willingness to provide such samples for biomarker analysis. Participants will be tested on recruitment, re-tested after three months, and asked to repeat questionnaires and do an online listening task three months after the re-test. Repeating the audiological tests after three months allows the reliability of these tests to be established so that meaningful changes in the results, after longer time periods, can be identified. Asking participants to be involved on three separate occasions also allows us to assess participant willingness to maintain involvement with the BioResource, in-person and remotely, over time. It is envisaged that supplementary remote data collection will play an important role in the future BioResource, particularly in relation to longitudinal follow-up. Among the tests to be performed are routine clinical tests, but also novel tests including the wideband middle ear muscle reflex test [23] (MEMR), a non-invasive test that has been proposed as a marker of auditory nerve degeneration (cochlear synaptopathy). Data from this study will support or refute the future inclusion of this test in the BioResource.
The overall aim of the Nottingham Hearing BioResource we are establishing is to develop a flexible resource containing longitudinal deep phenotyping data that can be used to support research into a broad range of hearing, and hearing-related, conditions/disorders. This feasibility study will quantify how well we are able to recruit, test, and retain participants, at the scale required to create a bioresource that is genuinely useful to researchers working in hearing and related disciplines. We will measure the rates of recruitment and retention, as well as data completeness, the range of times taken to carry out baseline and second appointments, and the ratio of participants with hearing loss and/or other hearing conditions to those without. This study will also provide initial data to use for developing robust data handling and analysis pipelines, and information on the reliability of individual tests.
Materials and methods
Aim, design and setting
This is a feasibility study recruiting from the general population in the East Midlands region of the United Kingdom. The primary aim of this study is to evaluate; the feasibility of administering a large audiological test battery (deep phenotyping, as detailed in the Processes and measures section below) in adults with and without hearing disorders, how well we can recruit participants to take part, and whether we can retain them for repeated testing.
The primary objectives are to evaluate: the recruitment and retention rates achieved through the tested recruitment channels, the data and sample completeness achieved and the time taken for each appointment, and the distribution of hearing conditions and demographics recruited through each channel. How we will use these metrics to evaluate feasibility is described in the Statistical analyses section below. We hypothesise that the test battery and repeated assessments will be acceptable to the general population.
The secondary aim of this study is to determine the test-retest reliability and co-variability of our test battery of audiological phenotyping tests. The objectives are: to calculate test-retest metrics (as described in the Statistical analyses section below) when audiological tests and questionnaires are carried out 3 months apart, and to investigate any correlations between the results of different audiological tests and other collected measures.
Participants
All adults will be eligible to participate (subject to the exclusion criteria below). Detailed information about each participant’s self-reported hearing loss and other hearing-related conditions, or lack thereof, will be collected and analysed, but do not form part of the inclusion criteria. Participants without known hearing-related issues will be needed in any future BioResource to form a control group.
Inclusion criteria.
- Able to give informed consent
- Aged 18 or over
- Able to attend 2 in-person appointments with a duration of 2 hours each
Exclusion criteria.
- Actively discharging ear infections
- Malformation of the ear such that headphones or ear inserts cannot be used
- Hearing intervention fitting or surgery on any part of the audio-vestibular system within the last 2 months
- Concurrent participation in hearing intervention research
- Fitted with a programmable ventriculo-peritoneal shunt
Sample selection.
Participants will be recruited through social media posts, advertising in private sector audiology settings, public engagement at local events, and through the NIHR Nottingham BRC Hearing Theme volunteer database of people who have expressed an interest in taking part in research. This will provide evidence of the potential demographic distribution of cohorts recruited in these ways and what the recruitment and retention rate could be for our BioResource.
Participants will receive an inconvenience allowance of £10, and up to £15 travel costs, for each in-person appointment.
Sample size.
We have set a pragmatic target of 84 participants. This is equivalent to approximately 2 months recruitment into the future BioResource based on a projection of recruiting 2500 participants over 5 years. Recruitment will continue for up to 12 months until 84 participants have been recruited. This study does not require any grouping of participants, or any randomisation or blinding.
Consent.
Eligible participants will be identified from volunteers who contact the study team. Participants will be given an Information Sheet detailing their rights and what will happen during the study, and will be asked to provide written informed consent. Consent will be re-confirmed at each data collection session.
Processes and measures
All measures were selected for inclusion in the protocol based upon iterative discussions across a panel of hearing scientists at the University of Nottingham. The length of involvement and the contents of the feasibility study were also considered by a panel of three Patient and Public Involvement (PPI) representatives.
During the feasibility study, the same measurements will be taken from all participants on two separate occasions (in person) and a separate overlapping set of measurements will be taken from all participants on one occasion (remotely) (Fig 1). No interventions are made; this is a study concentrating on technical and operational feasibility.
Flowchart showing participant’s journey in the feasibility study, from volunteering through to completing the study.
In-person appointments.
At the in-person appointments, participants will first complete a health and lifestyle questionnaire, and provide a self-report of any hearing-related issues, tinnitus, or treatment for hearing loss. The Montreal Cognitive Assessment (MoCA) [24] will then be performed (using the hearing impaired version if necessary (MoCA-H [25]). This test produces a score to indicate potential cognitive impairment. This will be followed by the completion of 5 Patient Reported Outcome Measures (PROMs):
- Speech, Spatial and Qualities of hearing questionnaire (short version; SSQ12) [26]
- Hearing Handicap Inventory for the Elderly (HHIE) [27]
- European School for Interdisciplinary Tinnitus Research Screening Questionnaire (ESIT-SQ) [28]
- Tinnitus Functional Index questionnaire (TFI) [29]
- Hyperacusis Questionnaire (HQ) [30]
The Noise Exposure Structured Interview (NESI) [31] will be administered by the researcher to assess the extent of the participant’s noise exposure during their lifetime. The NESI will only be carried out at the first appointment.
Video otoscopy will be performed to ensure it is safe to proceed with audiological testing. Participants will complete the following audiological tests, in each ear, in a soundproofed booth:
- Pure tone audiometry (250, 500, 1000, 2000, 3000, 4000, 6000 & 8000 Hz) [32]; masking will be used if necessary
- Bone conduction audiometry (500, 1000, 2000 & 4000 Hz) [32]
- Extended high-frequency audiometry (9000, 10000, 11200, 12500, 14000 & 16000 Hz) [33]
- Quick Speech In Noise test (QuickSIN) [34]
- Wideband Tympanometry (WBT) [35]
- Wideband Middle Ear Muscle Reflex (MEMR) test [23]
- Otoacoustic Emissions (OAE) [36]; Transient Evoked (TE) and Distortion Product (DP)
- Threshold Equalising Noise (TEN) test [37]
A small sample of hair will be taken (where possible) from the posterior vertex of the head as close to the scalp as possible (see demonstration at https://youtu.be/jWt_XWlcl5Y) and the samples processed (using a 3 cm segment from the scalp-near end) using commercial assays and standard protocols to measure cortisol levels over the previous 3 months [38, 39]. Cortisol levels are an indicator of stress and have been suggested as a useful biomarker for use in hearing research, for example, to evaluate the efficacy of an intervention [40, 41].
The complete test battery (except NESI) will be repeated at a second appointment 3 months after the first appointment. More details concerning the 5 PROMs and the battery of audiological tests listed above can be found in Table 1.
Remote follow-up.
This session will take place 3 months after the second appointment. Participants will complete an online form containing the 5 PROMs (SSQ12, HHIE, ESIT-SQ, TFI, HQ) and an online version of the DTT [14]. Participants unable to access online tools will be offered a telephone call or postal versions of the questionnaires and will omit the DTT.
Participant viewpoint.
At the in-person appointments, participants will additionally be asked hypothetical questions as to whether they would be willing to join the Nottingham Hearing BioResource, whether they would be willing to give a blood sample to take part in that BioResource, and whether they would be happy for that blood sample to also contribute to the national NIHR BioResource [10].
After each stage of the study, participants will be asked about their satisfaction with the process, whether they have any suggestions for improving the participant experience, and whether they have any reservations about continuing in the study. Participants that fail to attend their second appointment or to complete the remote online session will be given the opportunity to provide their reasons why and these will be documented.
Data management
Data collection throughout the study will be continually monitored and analysed to ensure quality and to monitor the efficiency of different recruitment approaches. Reasons for missing data will be logged (e.g., a test may be abandoned because the participant is uncomfortable) and the reasons will be analysed to determine improvements to the data collection process for the BioResource.
A data management plan is in place. Data will be securely collected and managed using the REDCap [53] electronic data capture tool hosted at the University of Nottingham, and stored in a MySQL database [54]. Personal information will only be accessible to researchers administering the study. Data exported for analysis by the research team will be de-identified.
Data from the feasibility study will be made available to external researchers on request. The data will be findable through a Digital Object Identifier (DOI) in the Nottingham Research Data Management Repository [55], providing metadata and instructions on how to request a dataset. Data shared with external researchers will be pseudonymised (with keys unique to each extraction) and de-identified before sharing.
Safety considerations
There are minimal risks to the participants taking part in this study; all tests are minimally invasive and have no known side effects. There is a chance of incidental findings, such as undiagnosed hearing loss, and affected participants will be advised to contact their General Practitioner.
Statistical analyses
Primary aim.
Descriptive and simple comparative statistics (such as t-tests/ANOVA or χ2, as appropriate) will be used to: compare recruitment rates between channels; evaluate retention rates to second appointment and remote session, data and sample completeness, and time taken for each appointment; and assess the distribution of hearing conditions and demographic characteristics recruited through each channel.
The feasibility of recruiting into the Nottingham Hearing BioResource through the tested channels will be assessed based on their relative recruitment rates (mean number of participants per month), the resulting retention rates, and the diversity of the samples recruited. We are aiming for 80% retention to the end of the study; a figure lower than 50% will decrease our ability to maintain a usefully longitudinal BioResource indicating that we may need to put in place extra measures to increase participants’ long-term interest. The distribution of participants in terms of hearing health and other demographic features will give an indication of how broad and balanced a dataset can be achieved with our current recruitment methods and allows us to plan improvements where necessary. The BioResource needs to recruit participants that reflect the wider population they are recruited from in order to benefit everyone in that population. We also need to capture a wide range of people with different hearing disorders to enable stratification of those hearing disorders based on phenotypic descriptors.
We will also look at the success of the testing process; if a section of the protocol has a high rate (>50%) of incomplete data, its future inclusion in the BioResource may be revised or reconsidered. With respect to the time taken to complete the in-person data collection, we are aiming for 1.5 hours (to allow the overall appointment to take no longer than 2 hours); if the distribution of times is skewed towards > 1.5 hours, action may need to be taken to reduce this (taking into account participants’ satisfaction with the process).
Secondary aim.
Intraclass correlation coefficients with 95% confidence intervals and Bland–Altman plots will be used to assess the test-retest reliability of the audiological phenotyping tests and PROMs performed 3 months apart. These test-retest metrics will be compared to previously published information about the reliability of these tests (see Table 1) to assess the accuracy and reliability of these tests in our hands. Where no test-retest results have been previously published, for example, for SSQ12, our results will add to the field. Establishing the possible magnitude of the difference in results when tests are repeated soon after each other allows meaningful changes in results, when tests are repeated over longer time periods, to be identified.
Spearman’s rank or Pearson’s correlation coefficients and regression analysis, as appropriate, will be used to investigate relationships between different audiological tests, between audiological tests and PROMs, and between tests/PROMs and hair cortisol levels. To perform these analyses, audiological tests and PROM questionnaires will be converted into final scores as appropriate, for example, pure tone audiometry results will be converted into better/worse-ear across-frequency averages, and the SSQ12 produces an overall score out of 10. Consistent correlations between measures may inform the inclusion/exclusion of redundant measures in the deep phenotyping protocol used in the Nottingham Hearing BioResource. No analyses will be performed for the feasibility study to explicitly compare measures between participants grouped by hearing loss/hearing condition status, but this will be considered as a potentially confounding factor when looking at correlations between measures.
Status and timeline
Recruitment and enrolment began on 7th October 2024 and will cease after 12 months (6th October 2025) or when 84 participants have been recruited. Participants will be involved in the study for approximately 5 hours over a maximum of 7 months (the second appointment is within 3 months of the start and the remote follow-up is within 3 months of the second appointment, both within a 2-week window).
Ethics
This study has been given a favourable opinion (FMHS 216-0624) by the University of Nottingham’s Faculty of Medicine & Health Sciences Research Ethics Committee. Written informed consent will be sought from each participant before they enter the study.
Ongoing review of the protocol and its implementation during the feasibility study will be crucial to promptly address any challenges and identify where changes to the protocol may be needed. Any protocol changes will be made with the involvement of the PPI representatives and in accordance with research ethics procedures.
Discussion
We describe a protocol for a study to evaluate the feasibility of a Nottingham Hearing BioResource to deeply phenotype hearing and hearing disorders. Feasibility will be determined according to recruitment and retention rates through different channels targeting the general population, data completeness, and the diversity of participants in terms of demographics and hearing health. This study will also provide initial data to use for developing robust data handling and analysis pipelines, and to evaluate test-retest reliability and correlations between phenotyping measures.
In the longer term, we will also be recruiting through clinical pathways into the BioResource, but we will need to recruit from the general population to ensure we get a diverse cohort with and without hearing disorders. Therefore, this study tests general population recruitment channels only. Participants in the feasibility study will be given the opportunity to join the BioResource and future studies/data collection.
More research is urgently needed to address the challenges presented by hearing loss, tinnitus, and other hearing-related conditions, and a Nottingham Hearing BioResource, providing research-willing volunteers and comprehensive tests of hearing and ear health repeated over time, has the potential to greatly accelerate this.
Acknowledgments
The authors would like to thank the wider group of researchers and practitioners who have supported the creation of the Nottingham Hearing BioResource, as well as the PPI representatives who are providing guidance throughout this feasibility study.
References
- 1. GBD 2019 Hearing Loss Collaborators. Hearing loss prevalence and years lived with disability, 1990-2019: findings from the global burden of disease study 2019. Lancet. 2021;397(10278):996–1009. pmid:33714390
- 2. De Ridder D, Schlee W, Vanneste S, Londero A, Weisz N, Kleinjung T, et al. Tinnitus and tinnitus disorder: theoretical and operational definitions (an international multidisciplinary proposal). Prog Brain Res. 2021;2601–25. pmid:33637213
- 3. Jarach CM, Lugo A, Scala M, van den Brandt PA, Cederroth CR, Odone A, et al. Global prevalence and incidence of tinnitus: a systematic review and meta-analysis. JAMA Neurol. 2022;79(9):888–900. pmid:35939312
- 4. Watts EJ, Fackrell K, Smith S, Sheldrake J, Haider H, Hoare DJ. Why is tinnitus a problem? a qualitative analysis of problems reported by tinnitus patients. Trends Hear. 2018;22. pmid:30482102
- 5. Lye J, Delaney DS, Leith FK, Sardesai VS, McLenachan S, Chen FK, et al. Recent therapeutic progress and future perspectives for the treatment of hearing loss. Biomedicines. 2023;11(12):3347. pmid:38137568
- 6. Henton A, Tzounopoulos T. What’s the buzz? The neuroscience and the treatment of tinnitus. Physiol Rev. 2021;101(4):1609–32. pmid:33769102
- 7. Adams B, Sereda M, Casey A, Byrom P, Stockdale D, Hoare DJ. A Delphi survey to determine a definition and description of hyperacusis by clinician consensus. Int J Audiol. 2021;60(8):607–13. pmid:33305628
- 8. Green E, Ritchie F. The present and future of the Five Safes framework. JPC. 2023;13(2).
- 9. Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015;12(3):e1001779. pmid:25826379
- 10.
NIHR BioResource. Available from: bioresource.nihr.ac.uk
- 11.
Our Future Health. Available from: ourfuturehealth.org.uk
- 12. Bešević J, Lacey B, Conroy M, Omiyale W, Feng Q, Collins R, et al. New horizons: the value of UK Biobank to research on endocrine and metabolic disorders. J Clin Endocrinol Metab. 2022;107(9):2403–10. pmid:35793237
- 13. Conroy MC, Lacey B, Bešević J, Omiyale W, Feng Q, Effingham M, et al. UK Biobank: a globally important resource for cancer research. Br J Cancer. 2023;128(4):519–27. pmid:36402876
- 14. Van den Borre E, Denys S, van Wieringen A, Wouters J. The digit triplet test: a scoping review. Int J Audiol. 2021;60(12):946–63. pmid:33840339
- 15.
Akeroyd M. Systematic differences across testing centre and visit in UK Biobank speech-in-noise thresholds. In: ManCAD, editor. Manchester Centre for Audiology and Deafness (ManCAD) – Clinical Audiology Papers conference; 2024 Sep 16-17; Manchester, UK. Manchester: University of Manchester; 2024. p. 9.
- 16. Robinson PN. Deep phenotyping for precision medicine. Hum Mutat. 2012;33(5):777–80. pmid:22504886
- 17.
WHO. World report on hearing. Geneva: 2021.
- 18. Wilson BS, Tucci DL, Merson MH, O’Donoghue GM. Global hearing health care: new findings and perspectives. Lancet. 2017;390(10111):2503–15. pmid:28705460
- 19. Wong ACY, Ryan AF. Mechanisms of sensorineural cell damage, death and survival in the cochlea. Front Aging Neurosci. 2015;758. pmid:25954196
- 20. Mao H, Chen Y. Noise-induced hearing loss: updates on molecular targets and potential interventions. Neural Plast. 2021;2021:4784385. pmid:34306060
- 21. Rudman JR, Mei C, Bressler SE, Blanton SH, Liu X-Z. Precision medicine in hearing loss. J Genet Genomics. 2018;45(2):99–109. pmid:29500086
- 22. Haile L, Orji A, Briant P, Adelson J, Davis A, Vos T. Updates on hearing from the Global Burden of Disease Study. Innovation in Aging. 2020;4(Supplement_1):808–808.
- 23. Trevino M, Zang A, Lobarinas E. The middle ear muscle reflex: current and future role in assessing noise-induced cochlear damage. J Acoust Soc Am. 2023;153(1):436. pmid:36732247
- 24. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–9. pmid:15817019
- 25. Dawes P, Reeves D, Yeung WK, Holland F, Charalambous AP, Côté M, et al. Development and validation of the Montreal cognitive assessment for people with hearing impairment (MoCA-H). J Am Geriatr Soc. 2023;71(5):1485–94. pmid:36722180
- 26. Noble W, Jensen NS, Naylor G, Bhullar N, Akeroyd MA. A short form of the Speech, Spatial and Qualities of Hearing scale suitable for clinical use: the SSQ12. Int J Audiol. 2013;52(6):409–12. pmid:23651462
- 27. Ventry IM, Weinstein BE. The hearing handicap inventory for the elderly: a new tool. Ear Hear. 1982;3(3):128–34. pmid:7095321
- 28. Genitsaridi E, Partyka M, Gallus S, Lopez-Escamez JA, Schecklmann M, Mielczarek M, et al. Standardised profiling for tinnitus research: the European School for Interdisciplinary Tinnitus Research Screening Questionnaire (ESIT-SQ). Hear Res. 2019;377:353–9. pmid:30871820
- 29. Meikle MB, Henry JA, Griest SE, Stewart BJ, Abrams HB, McArdle R, et al. The tinnitus functional index: development of a new clinical measure for chronic, intrusive tinnitus. Ear Hear. 2012;33(2):153–76. pmid:22156949
- 30. Khalfa S, Dubal S, Veuillet E, Perez-Diaz F, Jouvent R, Collet L. Psychometric normalization of a hyperacusis questionnaire. ORL J Otorhinolaryngol Relat Spec. 2002;64(6):436–42. pmid:12499770
- 31. Guest H, Dewey RS, Plack CJ, Couth S, Prendergast G, Bakay W, et al. The Noise Exposure Structured Interview (NESI): an instrument for the comprehensive estimation of lifetime noise exposure. Trends Hear. 2018;22:2331216518803213. pmid:30295145
- 32.
BSA. Recommended Procedure; Pure tone air and bone conduction threshold audiometry with and without masking 2018. Available from: thebsa.org.uk/resources/.
- 33. Wang M, Ai Y, Han Y, Fan Z, Shi P, Wang H. Extended high-frequency audiometry in healthy adults with different age groups. J Otolaryngol Head Neck Surg. 2021;50(1):52. pmid:34446093
- 34. Killion MC, Niquette PA, Gudmundsen GI, Revit LJ, Banerjee S. Development of a quick speech-in-noise test for measuring signal-to-noise ratio loss in normal-hearing and hearing-impaired listeners. J Acoust Soc Am. 2004;116(4 Pt 1):2395–405. pmid:15532670
- 35. Kavruk H, Öztürk B. Investigation of age and gender effects on the middle ear with wideband tympanometry in adults. Ear Hear. 2024;45(2):476–85. pmid:38017621
- 36.
BSA. Recommended Procedure; Clinical Application of Otoacoustic Emissions (OAEs) 2022. Available from: thebsa.org.uk/resources/.
- 37. Moore BCJ, Glasberg BR, Stone MA. New version of the TEN test with calibrations in dB HL. Ear Hear. 2004;25(5):478–87. pmid:15599194
- 38. Greff MJE, Levine JM, Abuzgaia AM, Elzagallaai AA, Rieder MJ, van Uum SHM. Hair cortisol analysis: an update on methodological considerations and clinical applications. Clin Biochem. 2019;63:1–9. pmid:30261181
- 39. Stalder T, Steudte-Schmiedgen S, Alexander N, Klucken T, Vater A, Wichmann S, et al. Stress-related and basic determinants of hair cortisol in humans: a meta-analysis. Psychoneuroendocrinology. 2017;77:261–74. pmid:28135674
- 40. Basso L, Boecking B, Neff P, Brueggemann P, Peters EMJ, Mazurek B. Hair-cortisol and hair-BDNF as biomarkers of tinnitus loudness and distress in chronic tinnitus. Sci Rep. 2022;12(1):1934. pmid:35121746
- 41. Genther DJ, Laudenslager ML, Sung Y-K, Blake CR, Chen DS, Lin FR. Assessing systemic stress in otolaryngology: methodology and feasibility of hair and salivary cortisol testing. J Nat Sci. 2015;1(8):e152. pmid:26436139
- 42. Weinstein BE. Outcome measures in the hearing aid fitting/selection process. Trends Amplif. 1997;2(4):117–37. pmid:25425877
- 43. McClannahan KS, Chiu Y-F, Sommers MS, Peelle JE. Test-retest reliability of audiometric assessment in individuals with mild dementia. JAMA Otolaryngol Head Neck Surg. 2021;147(5):442–9. pmid:33662120
- 44. Vinay, Svensson UP, Kvaløy O, Berg T. A comparison of test–retest variability and time efficiency of auditory thresholds measured with pure tone audiometry and new early warning test. Applied Acoustics. 2015;90:153–9.
- 45. Schmuziger N, Probst R, Smurzynski J. Test-retest reliability of pure-tone thresholds from 0.5 to 16 kHz using Sennheiser HDA 200 and Etymotic Research ER-2 earphones. Ear Hear. 2004;25(2):127–32. pmid:15064657
- 46. Swanepoel DW, Biagio L. Validity of diagnostic computer-based air and forehead bone conduction audiometry. J Occup Environ Hyg. 2011;8(4):210–4. pmid:21391065
- 47. John AB, Kreisman BM. Equivalence and test-retest reproducibility of conventional and extended-high-frequency audiometric thresholds obtained using pure-tone and narrow-band-noise stimuli. Int J Audiol. 2017;56(9):635–42. pmid:28388868
- 48. Burdiek LM, Sun X-M. Effects of consecutive wideband tympanometry trials on energy absorbance measures of the middle ear. J Speech Lang Hear Res. 2014;57(5):1997–2004. pmid:24824299
- 49. Sun X-M. Wideband acoustic immittance: normative study and test-retest reliability of tympanometric measurements in adults. J Speech Lang Hear Res. 2016;59(4):819–34. pmid:27517667
- 50. Kamerer AM, Kopun JG, Fultz SE, Neely ST, Rasetshwane DM. Reliability of measures intended to assess threshold-independent hearing disorders. Ear Hear. 2019;40(6):1267–79. pmid:30882533
- 51. Keppler H, Dhooge I, Maes L, D’haenens W, Bockstael A, Philips B, et al. Transient-evoked and distortion product otoacoustic emissions: a short-term test-retest reliability study. Int J Audiol. 2010;49(2):99–109. pmid:20151884
- 52. Pepler A, Munro KJ, Lewis K, Kluk K. Repeatability, agreement, and feasibility of using the threshold equalizing noise test and fast psychophysical tuning curves in a clinical setting. Int J Audiol. 2014;53(10):745–52. pmid:24909593
- 53. Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O’Neal L, et al. The REDCap consortium: building an international community of software platform partners. J Biomed Inform. 2019;95:103208. pmid:31078660
- 54.
MySQL. Available from: dev.mysql.com/doc/refman/8.0/en.
- 55.
Nottingham Research Data Management Repository. Available from: rdmc.nottingham.ac.uk.