The lack of an adequate standardized method for reporting level of hearing function in clinical trials has hampered the ability of investigators to draw comparisons across studies. Variability in data reported and presentation format inhibits meta-analysis and makes it impossible to accumulate the large patient cohorts needed for statistically significant inference. Recognizing its importance to the field and after a widely inclusive discussion, the Hearing Committee of the American Academy of Otolaryngology-Head and Neck Surgery endorsed a new minimal standard for reporting hearing results in clinical trials, consisting of a scattergram relating average pure-tone threshold to word recognition score. Investigators remain free to publish their hearing data in any format they believe is interesting and informative, as long as they include the minimal data set to facilitate interstudy comparability.

IMPORTANCE As the American population ages, effective healthcare planning requires understanding changes in hearing loss prevalence. OBJECTIVE Determine if age- and sex-specific prevalence of adult hearing loss changed during the past decade. DESIGN Analysis of 2011–2012 National Health and Nutrition Examination Survey (NHANES) audiometric data compared to NHANES 1999–2004. NHANES is a cross-sectional, nationally-representative interview and examination survey of the civilian, non-institutionalized population. PARTICIPANTS A stratified random sample of 3,831 adults aged 20–69 years INTERVENTIONS Audiometry and questionnaires MAIN OUTCOMES AND MEASURES Speech-frequency hearing impairment (HI) defined by pure-tone average (PTA) of thresholds across 0.5–1–2–4 kHz greater than 25 dB hearing level (HL); high-frequency HI defined by PTA across 3–4–6 kHz >25 dB HL. Logistic regression was used to examine unadjusted, age- and sex-adjusted, and multivariable-adjusted associations with demographic, noise exposure, and cardiovascular risk factors. RESULTS The 2011–2012 unadjusted adult prevalence of unilateral and bilateral speech-frequency HI was 14.1%, compared to 16% for 1999–2004; after age- and sex-adjustment, the difference was significant, odds ratio (OR)=0.70 (95% confidence interval [95% CI]: 0.56–0.86). Men had nearly twice the prevalence of speech-frequency HI, 18.6% (17.8 million), compared to women, 9.6% (9.7 million). For 60–69 year-olds, speech-frequency HI prevalence was 39.3% (95% CI: 30.7%–48.7%). In multivariable analyses for bilateral speech-frequency HI, age was the major risk factor; however, men, non-Hispanic (NH) white and NH Asian race, lower educational attainment, and heavy use of firearms all had significant associations. Additional associations for high-frequency HI were Mexican-American and Other Hispanic race/ethnicity and the combination of loud and very loud noise exposure occupationally and outside of work, OR=2.4 (95% CI: 1.4–4.2). CONCLUSIONS AND RELEVANCE Adult hearing loss is common and strongly associated with age and other demographic factors (sex, race/ethnicity, education). Noise exposure, which is preventable, was less strongly associated. Cardiovascular risk factors – heavy smoking, hypertension, and diabetes – were significant only in unadjusted analyses. Age- and sex-specific HI prevalence continues to decline. Despite the benefit of delayed onset of HI, hearing healthcare needs will increase as the U.S. population grows and ages.

Nonspecific support and counseling are probably helpful, as are tricyclic antidepressants in severe cases. Benzodiazepines, newer antidepressants, and electrical stimulation deserve further study. Future tinnitus therapeutic research should emphasize adequate sample size, open trials before RCTs, careful choice of outcome measures, and long-term follow-up.

No abstract

Sinusoids in background noise can conveniently be detected using unsegmented power spectra, comparing power at the signal frequency to average power at several neighbor frequencies. In this case, the F test is preferable to t tests based on rms or dB values, because of the skewed distributions of rms and dB when signal-to-noise ratio (SNR) = 0. F-test performance improves as the number of frequencies increases, to about 15, but can be degraded if the background noise is not white, with a slope exceeding about 10 dB for the range of frequencies sampled. Segment analysis, using magnitude-squared coherence (MSC) or related statistics, has equivalent statistical power; MSC and F each yield unbiased SNR estimates that have identical distributions when SNR = 0. Selection of F or MSC for detection of sinusoids will usually be a matter of convenience.