Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 766

The DOI matches its Crossref record.

Global and regional hearing impairment prevalence: an analysis of 42 studies in 29 countries

Open access
Stevens, Gretchen, Flaxman, Seth, Brunskill, Emma, Mascarenhas, Maya, Mathers, Colin D., Finucane, Mariel·2013·European Journal of Public Health

Abstract

BACKGROUND: Hearing impairment is a leading cause of disease burden, yet population-based studies that measure hearing impairment are rare. We estimate regional and global hearing impairment prevalence from sparse data and calculate corresponding uncertainty intervals. METHODS: We accessed papers from a published literature review and obtained additional detailed data tabulations from investigators. We estimated the prevalence of hearing impairment by region, sex, age and hearing level using a Bayesian hierarchical model, a method that is effective for sparse data. As the primary objective of modelling was to produce regional and global prevalence estimates, including for those regions with scarce to no data, models were evaluated using cross-validation. RESULTS: We used data from 42 studies, carried out between 1973 and 2010 in 29 countries. Hearing impairment was positively related to age, male sex and middle- and low-income regions. We estimated that the global prevalence of hearing impairment (defined as an average hearing level of 35 decibels or more in the better ear) in 2008 was 1.4% (95% uncertainty interval 1.0-2.2%) for children aged 5-14 years, 9.8% (7.7-13.2%) for females >15 years of age and 12.2% (9.7-16.2%) for males >15 years of age. The model exhibited good external validity in the cross-validation analysis, with 87% of survey estimates falling within our final model's 95% uncertainty intervals. CONCLUSION: Our results suggest that the prevalence of child and adult hearing impairment is substantially higher in middle- and low-income countries than in high-income countries, demonstrating the global need for attention to hearing impairment.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/eurpub/ckr176

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 13

  1. Murray, 2007, Global Burden of Disease 2005: call for collaborators, Lancet, 370, 109, 10.1016/S0140-6736(07)61064-2 · DOI
  2. World Health Organization, 2008, The Global Burden of Disease: 2004 Update
  3. Davis, 2007, Acceptability, benefit and costs of early screening for hearing disability: a study of potential screening tests and models, Health Technol Assess, 11, 1, 10.3310/hta11420 · DOI · Paper page
  4. Pascolini, 2009, Hearing Impairment in 2008: a compilation of available epidemiological studies, Int J Audiol, 48, 473, 10.1080/14992020902803120 · DOI
  5. McPherson, 2010, Hearing screening for school children: comparison of low-cost, computer-based and conventional audiometry, Child Care Health Dev, 36, 323, 10.1111/j.1365-2214.2010.01079.x · DOI
  6. Gelman, 2007, Data Analysis Using Regression and Multilevel/Hierarchical Models. Analytical Methods for Social Research
  7. Gelman, 2006, Multilevel (hierarchical) modeling: what it can and cannot do, Technometrics, 48, 432, 10.1198/004017005000000661 · DOI · Paper page
  8. Patil, 2010, PyMC: Bayesian stochastic modelling in Python, J Stat Software, 35, 1, 10.18637/jss.v035.i04 · DOI · Paper page
  9. Ahmad, 2001, Age Standardization of Rates: a New WHO Standard. GPE Discussion Paper No. 31
  10. Liu, 1993, Prevalence and aetiology of profound deafness in the general population of Sichuan, China, J Laryngol Otol, 107, 990, 10.1017/S0022215100125071 · doi:10.1017/s0022215100125071
  11. Freeland, 2010, Sensorineural deafness in Tanzanian children–is ototoxicity a significant cause? A pilot study, Int J Pediatr Otorhinolaryngol, 74, 516, 10.1016/j.ijporl.2010.02.010 · doi:10.1016/j.ijporl.2010.02.010
  12. Sorensen, 2005, Time to Concentrate: 7th Annual Hearing Aid Industry Report
  13. World Health Organization. Hearing aids and services for developing countries, 2001, Rev Panam Salud Publica, 10, 139, 10.1590/S1020-49892001000800014 · doi:10.1590/s1020-49892001000800014

Cited by

See all 766

Metadata

Authors
Stevens, G., Flaxman, S., Brunskill, E., Mascarenhas, M., Mathers, C. D., & Finucane, M.
Venue
European Journal of Public Health
Published
2011-12-24
Volume
23
Issue
1
Pages
146-152
ISSN
  • 1101-1262 (ISSN-L)
  • 1464-360X
OpenAlex
W2137992646
Cited by
766
References
0
FWCI
8.59
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Global and regional hearing impairment prevalence: an analysis of 42 studies in 29 countries. https://app.cochat.ai/papers/10.1093/eurpub/ckr176
The paper
Stevens, G., Flaxman, S., Brunskill, E., Mascarenhas, M., Mathers, C. D., & Finucane, M. (2013). Global and regional hearing impairment prevalence: an analysis of 42 studies in 29 countries. European Journal of Public Health. https://doi.org/10.1093/eurpub/ckr176

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.