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The UK Biobank Tinnitus Study, Explained for Patients

One of the largest tinnitus datasets ever assembled reveals detailed findings on who gets tinnitus and how distressing it becomes.

By Tinnitus Clarified TeamUpdated 4 min read

Key takeaways

  • A 2025 analysis of 192,993 UK Biobank participants found that just over a fifth reported tinnitus, with roughly a quarter of those describing it as moderately or severely distressing.
  • Hearing health was the main risk factor for having tinnitus and for how severe it was; mood, neuroticism and sleep also predicted severity.
  • Prevalence peaked between 65 and 79. UK Biobank recruited people aged 40 to 69, so it says little about tinnitus in younger adults.
  • Participants are healthier and less deprived than the UK population, so the figures describe this cohort rather than the country; relationships between risk factors and tinnitus travel better than the percentages.

A 2025 analysis of 192,993 UK Biobank participants found that just over a fifth reported tinnitus, that hearing health was its main risk factor, and that mood, neuroticism and sleep predicted how severe it was.

UK Biobank is a research resource following the health of about 500,000 people recruited across England, Wales and Scotland between 2006 and 2010, when they were aged 40 to 69, with detailed health, lifestyle and, for many participants, genetic data. Because of its scale, it has become one of the most valuable sources of tinnitus research, able to detect patterns that smaller studies do not have the statistical power to see clearly.

What makes this dataset different

Most tinnitus studies work with hundreds or a few thousand participants. UK Biobank analyses draw on tens or hundreds of thousands, which matters for a condition like tinnitus where individual experience varies enormously — a large sample size is what lets researchers reliably separate real patterns (age, sex, specific risk factors) from statistical noise.

Key findings from the risk-factor analysis

The 2025 analysis, published in Nature Communications, used machine learning to predict two things separately from socio-demographic, psychological and health information: whether a participant had tinnitus, and how severe it was. Of the 192,993 participants, 41,042 had tinnitus.

  • Overall prevalence: just over a fifth of participants reported tinnitus, with roughly a quarter of those describing it as moderately or severely distressing — a higher figure than some national estimates, likely reflecting differences in survey methodology and population rather than a higher underlying rate in the UK. Tinnitus statistics explains why those estimates differ.
  • Risk factors: hearing health was the primary risk factor for both having tinnitus and its severity. Mood, neuroticism and sleep predicted severity; sleeping with tinnitus covers the sleep side of that.
  • Change over time: the severity model predicted how participants' tinnitus progressed over nine years, including a large effect for those who went on to develop severe tinnitus.
  • Age pattern: prevalence rose steadily from around age 40, peaked in the 65–79 range, and then declined somewhat in the oldest participants — a pattern consistent with other tinnitus research. Because the cohort was recruited at ages 40 to 69, it says little about tinnitus in younger adults.
  • Sex differences: men reported higher overall prevalence consistently from ages 40 through 79, while women in the study tended to report greater distress when tinnitus was present — suggesting sex differences in tinnitus aren't simply about who gets it, but potentially about how it's experienced once present.

What the genetic side of UK Biobank has added

Because many UK Biobank participants have genetic data, the resource has powered some of the most detailed tinnitus genetics research to date, covered in more depth in genetics and tinnitus.

A 2020 genome-wide association study of 172,995 UK Biobank participants found tinnitus to be polygenic — shaped by many genes of small effect — identified 6 risk loci, and found a genetic link with major depressive disorder. In 2024 the same research group combined UK Biobank with the US Million Veteran Program, 596,905 people in all, and identified 39 risk loci. That larger study found tinnitus shares many genetic variants with hearing difficulty but also has a distinct genetic architecture of its own, and it confirmed genetic correlations with psychiatric conditions, depression among them.

Why this kind of research matters for patients, even though it doesn't change today's treatment

Large-scale studies like this one aren't designed to produce an immediate new treatment — their value is in building an accurate, reliable picture of who's affected, how, and why, which shapes research priorities and eventually informs more targeted treatments. The genetic and statistical links between tinnitus and depression found in this dataset, for instance, add weight to the case for treating the two together rather than assuming they're unrelated, which tinnitus and depression covers.

A caution worth keeping in mind

UK Biobank participants are not representative of the general population. Only 5.5% of the roughly 9.2 million people invited took part, and compared with the general population, participants were less likely to be obese, to smoke or to drink alcohol daily, had fewer self-reported health conditions, and lived in less socioeconomically deprived areas — a "healthy volunteer" effect. The researchers who documented this concluded that relationships between exposures and disease can still be generalised, even though the cohort's percentages may not describe the country. That is a good way to read the tinnitus findings: the risk-factor relationships are more transferable than the exact prevalence figure.

Frequently asked questions

Why does UK Biobank matter so much in tinnitus research?

Scale. Most tinnitus studies work with hundreds or a few thousand participants; UK Biobank analyses draw on tens or hundreds of thousands, from a resource following the health of about 500,000 UK participants recruited between 2006 and 2010. For a condition where individual experience varies as much as tinnitus does, that sample size is what lets researchers separate real patterns — age, sex, specific risk factors — from statistical noise.

What did the UK Biobank tinnitus analysis find?

Among 192,993 participants, just over a fifth reported tinnitus, with roughly a quarter of those describing it as moderately or severely distressing. Hearing health was the main risk factor for both having tinnitus and its severity, and mood, neuroticism and sleep also predicted severity. Prevalence peaked between 65 and 79. Men reported higher prevalence from 40 through 79, while women tended to report greater distress when tinnitus was present.

Why is the UK Biobank tinnitus figure higher than the US one?

Most likely because of how the question was asked and who was surveyed, rather than a higher underlying rate in the UK. Prevalence estimates move substantially with the definition used and with who is in the sample, and UK Biobank is not a cross-section of the country: it recruited only people aged 40 to 69, and its participants differ from the general population in health and circumstances.

How much weight should a single UK Biobank finding carry?

Treat it as one strong piece of evidence rather than a final answer. The cohort is not representative: only 5.5% of those invited took part, and participants were less likely to smoke, be obese or drink daily, had fewer health conditions, and lived in less deprived areas than the general population. The study that documented this concluded that relationships between exposures and disease can still generalise, even though the percentages may not.

Sources

4 named sources

Show the list
  1. Hobeika, Fillingim et al., 2025Journal article

    Tinnitus risk factors and its evolution over time, Nature Communications (opens in a new tab)
  2. Fry, Littlejohns et al., 2017Journal article

    Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population, American Journal of Epidemiology, PubMed (opens in a new tab)
  3. Clifford, Maihofer et al., 2020Journal article

    Novel Risk Loci in Tinnitus and Causal Inference With Neuropsychiatric Disorders Among Adults of European Ancestry, JAMA Otolaryngology–Head & Neck Surgery, PubMed (opens in a new tab)
  4. Clifford, Maihofer et al., 2024Journal article

    Genetic architecture distinguishes tinnitus from hearing loss, Nature Communications (opens in a new tab)

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