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Hearing Loss Prevalence, Years Lived With Disability, and Hearing Aid Use in the United States From 1990 to 2019: Findings From the Global Burden of Disease Study.
Haile, Lydia M; Orji, Aislyn U; Reavis, Kelly M; Briant, Paul Svitil; Lucas, Katia M; Alahdab, Fares; Bärnighausen, Till Winfried; Bell, Arielle Wilder; Cao, Chao; Dai, Xiaochen; Hay, Simon I; Heidari, Golnaz; Karaye, Ibraheem M; Miller, Ted R; Mokdad, Ali H; Mostafavi, Ebrahim; Natto, Zuhair S; Pawar, Shrikant; Rana, Juwel; Seylani, Allen; Singh, Jasvinder A; Wei, Jingkai; Yang, Lin; Ong, Kanyin Liane; Steinmetz, Jaimie D.
Afiliação
  • Haile LM; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Orji AU; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Reavis KM; National Center for Rehabilitative Auditory Research, US Department of Veterans Affairs-Portland Healthcare System, Portland, OR, USA.
  • Briant PS; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Lucas KM; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Alahdab F; Mayo Evidence-based Practice Center, Mayo Clinic Foundation for Medical Education and Research, Rochester, MN, USA.
  • Bärnighausen TW; Heidelberg Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany.
  • Bell AW; T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
  • Cao C; Department of Global Health and Social Medicine, Harvard University, Boston, MA, USA.
  • Dai X; Department of Social Services, Tufts Medical Center, Boston, MA, USA.
  • Hay SI; Program in Physical Therapy, Washington University in St. Louis, St. Louis, MO, USA.
  • Heidari G; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Karaye IM; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
  • Miller TR; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Mokdad AH; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
  • Mostafavi E; Independent Consultant, Santa Clara, CA, USA.
  • Natto ZS; School of Health Professions and Human Services, Hofstra University, Hempstead, NY, USA.
  • Pawar S; Pacific Institute for Research & Evaluation, Calverton, MD, USA.
  • Rana J; School of Public Health, Curtin University, Perth, WA, Australia.
  • Seylani A; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Singh JA; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
  • Wei J; Department of Medicine, Stanford University, Palo Alto, CA, USA.
  • Yang L; Stanford Cardiovascular Institute, Stanford University, Palo Alto, CA, USA.
  • Ong KL; Department of Dental Public Health, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Steinmetz JD; Department of Oral Health Policy and Epidemiology, Harvard University, Boston, USA.
Ear Hear ; 45(1): 257-267, 2024.
Article em En | MEDLINE | ID: mdl-37712826
ABSTRACT

OBJECTIVES:

This article describes key data sources and methods used to estimate hearing loss in the United States, in the Global Burden of Disease study. Then, trends in hearing loss are described for 2019, including temporal trends from 1990 to 2019, changing prevalence over age, severity patterns, and utilization of hearing aids.

DESIGN:

We utilized population-representative surveys from the United States to estimate hearing loss prevalence for the Global Burden of Disease study. A key input data source in modeled estimates are the National Health and Nutrition Examination Surveys (NHANES), years 1988 to 2010. We ran hierarchical severity-specific models to estimate hearing loss prevalence. We then scaled severity-specific models to sum to total hearing impairment prevalence, adjusted estimates for hearing aid coverage, and split estimates by etiology and tinnitus status. We computed years lived with disability (YLDs), which quantifies the amount of health loss associated with a condition depending on severity and creates a common metric to compare the burden of disparate diseases. This was done by multiplying the prevalence of severity-specific hearing loss by corresponding disability weights, with additional weighting for tinnitus comorbidity.

RESULTS:

An estimated 72.88 million (95% uncertainty interval (UI) 68.53 to 77.30) people in the United States had hearing loss in 2019, accounting for 22.2% (20.9 to 23.6) of the total population. Hearing loss was responsible for 2.24 million (1.56 to 3.11) YLDs (3.6% (2.8 to 4.7) of total US YLDs). Age-standardized prevalence was higher in males (17.7% [16.7 to 18.8]) compared with females (11.9%, [11.2 to 12.5]). While most cases of hearing loss were mild (64.3%, 95% UI 61.0 to 67.6), disability was concentrated in cases that were moderate or more severe. The all-age prevalence of hearing loss in the United States was 28.1% (25.7 to 30.8) higher in 2019 than in 1990, despite stable age-standardized prevalence. An estimated 9.7% (8.6 to 11.0) of individuals with mild to profound hearing loss utilized a hearing aid, while 32.5% (31.9 to 33.2) of individuals with hearing loss experienced tinnitus. Occupational noise exposure was responsible for 11.2% (10.2 to 12.4) of hearing loss YLDs.

CONCLUSIONS:

Results indicate large burden of hearing loss in the United States, with an estimated 1 in 5 people experiencing this condition. While many cases of hearing loss in the United States were mild, growing prevalence, low usage of hearing aids, and aging populations indicate the rising impact of this condition in future years and the increasing importance of domestic access to hearing healthcare services. Large-scale audiometric surveys such as NHANES are needed to regularly assess hearing loss burden and access to healthcare, improving our understanding of who is impacted by hearing loss and what groups are most amenable to intervention.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article