When the Mind Meets the Ear: A Scoping Review on Tinnitus and Clinically Measured Psychiatric Comorbidities
Bibliographic record
Abstract
Background/Objectives:Tinnitus, the perception of sound without an external source, is a prevalent and often distressing condition with complex neurobiological and psychological underpinnings. A growing body of literature suggests a frequent co-occurrence between tinnitus and psychiatric symptoms such as anxiety, depression, and sleep disturbances. However, the extent to which these conditions are associated, and whether treatments targeting one domain impact the other, remains unclear. This scoping review aimed to (1) identify associations between tinnitus and mental health comorbidities, (2) evaluate whether tinnitus treatments affect psychiatric outcomes, and (3) explore whether psychiatric treatments influence tinnitus symptoms. Methods: A comprehensive search of PubMed, MEDLINE, Embase, PsycINFO, Cochrane Database of Systematic Reviews, and Google Scholar was conducted for articles published between January 2014 and May 2025. Eligible studies were written in English, French, or Spanish, focused primarily on tinnitus, included at least one co-occurring psychiatric condition, and described how tinnitus was evaluated. A total of 30 studies were included. Data were extracted and synthesized thematically. Study quality was assessed using the Mixed Methods Appraisal Tool and relevant Joanna Briggs Institute checklists. Results: Most studies reported significant associations between tinnitus and psychiatric symptoms, particularly anxiety, depression, stress, insomnia, and, in some cases, psychosis. Treatments aimed at tinnitus, such as eye movement desensitization and reprocessing and cognitive behavioral therapy, were sometimes associated with secondary improvements in mental health. Conversely, limited evidence suggested that psychiatric treatment, including antipsychotic medication and psychotherapy, may reduce tinnitus severity in selected cases. Conclusions: Tinnitus and psychiatric comorbidities frequently co-occur, and early evidence suggests that addressing one may benefit the other. Given the specific inclusion criteria, this review presents a selected subset of the broader literature, focusing only on studies that evaluated tinnitus alongside clinically measured psychiatric symptoms. Future research should prioritize integrated, longitudinal interventions to better understand these complex interactions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.056 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.017 | 0.016 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".