Global Prevalence and Incidence of Tinnitus
Mario Negri Institute for Pharmacological Research · Maastricht University Medical Centre · +9 more institutions
Abstract
To date, no systematic review has taken a meta-analytic approach to estimating the prevalence and incidence of tinnitus in the general population.
To provide frequency estimates of tinnitus worldwide. Data Sources: An umbrella review followed by a traditional systematic review was performed by searching PubMed-MEDLINE and Embase from inception through November 19, 2021. Study Selection: Research data from the general population were selected, and studies based on patients or on subgroups of the population with selected lifestyle habits were excluded. No restrictions were applied according to date, age, sex, and country. Data Extraction and Synthesis: Relevant extracted information included type of study, time and location, end point, population characteristics, and tinnitus definition. The study followed the Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guideline. Main Outcomes and Measures: Pooled prevalence estimates of any tinnitus, severe tinnitus, chronic tinnitus, and diagnosed tinnitus as well as incidence of tinnitus were obtained using random-effects meta-analytic models; heterogeneity between studies was controlled using the χ2 test, and inconsistency was measured using the I2 statistic.
Citation impact
- FWCI
- 50.89
- Percentile
- 100%
- References
- 80
Authors
10- CMCarlotta Micaela Jarach
Mario Negri Institute for Pharmacological Research
- ALAlessandra Lugo
Mario Negri Institute for Pharmacological Research
- MSMarco Scala
Mario Negri Institute for Pharmacological Research
- PAPiet A. van den Brandt
Maastricht University Medical Centre
- CRChristopher R. Cederroth
National Health Service, University of Nottingham, Karolinska Institutet, National Institute for Health and Care Research, Nottingham Biomedical Research Centre
Topics & keywords
- Tinnitus
- Medicine
- Meta-analysis
- Population
- Incidence (geometry)
- Epidemiology
- Observational study
- Data extraction
- Good health and well-being