Abstract
Hearing loss is one of the more common occupation health hazards across the globe yet is preventable. Extensive research has been done across a number of industries measuring the magnitude and frequency of hearing impairment. This study uses the National Health and Nutrition Examination Survey data to analyze hearing impairment in the United States. Regression and structural equation models were developed utilizing this publicly available data. A statistically significant correlation exists between general hearing condition and ethnicity, χ2 (30, N = 8897) = 264.817, p < 0.001. A statistically significant correlation exists in this database between general hearing condition and gender, χ2 (6, N = 8897) = 40.729, p < 0.001. An ordinal logistic regression was significant between the general health and ethnicity, χ2 (30, N = 5968) = 212.123, p < 0.001. A structural equation model presents the first of its type for this area of research. Focusing on addressing diversity issues may be the foundation for hearing health improvement. Tools such as smartphone apps may be useful for tracking hearing loss within the workforce.
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