Understanding the Dizziness Handicap Inventory (DHI): A Cross Sectional Analysis of Symptom Factors That Contribute to DHI Variance.

OBJECTIVE: The Dizziness Handicap Inventory (DHI) is the most commonly used quality of life measure for vestibular disorders. However, there is wide variability in scores, and little is known about which variables contribute to dizziness-related quality of life. Our goal was to investigate the key demographic and symptom-related factors to that account for DHI variance. STUDY DESIGN: Cross-sectional survey. SETTING: Tertiary referral center. PATIENTS: Adult patients presenting to a dizziness clinic. MAIN OUTCOME MEASURE: DHI variance explained by multiple linear regression. RESULTS: Seventy subjects were included in our study. We performed univariate analyses on numerous demographic and dizziness-related factors, and constructed a multivariate model based on explaining the highest variance in the data with the least number of independent variables. Several validated quality of life and mental health survey scores (SF-36-quality of life; PHQ-9-depression; and GAD-7-anxiety) were significantly correlated with higher DHI scores. Additional factors, including the number of dizzy days per month, the number of dizziness descriptors (spinning, lightheadedness, disequilibrium, etc.), and the number of dizziness triggers (loud sounds, stress, riding in a car, etc.), were all significantly associated with higher DHI scores; a multiple linear regression model showed that these three aforementioned factors combined accounted for 56% of the variability in the DHI scores (p < 0.0001). Adding an index of depression, as measured by the PHQ-9, increased the adjusted R to 64% (p < 0.0001). CONCLUSIONS: DHI score variability is explained by mental health and quality-of-life measures in addition to the daily burden of dizziness.

Duke Scholars

Author Eric John Formeister Otology, Neurotology & Skull Base Surgery