![]() The DHI is highly correlated with patients’ psychological status.ĭizziness and/or vertigo are the most common reported medical complaints affecting 15–35% of the adult population dependent on the study group. The positional subscale showed the highest scoring in the BPPV group with high sensitivity and low specificity of the test. (4) Conclusions: Our analysis revealed that the DHI vestibular subscale distinguishes between patients with compensated and uncompensated vestibular dysfunction. ![]() The DHI total score and the subscales scores correlated with anxiety-depression, and the highest correlation coefficients were calculated for vestibular (F2 0.56) and anxiety (F5 0.51) subscales. The DHI items composing the F3 (positional) subscale revealed the highest scoring in the BPPV group with 75% sensitivity and 92% negative predictive value (NPV) in reference to Dix–Hallpike tests. (3) Results: The DHI questionnaire total scoring and its vestibular subscale distinguished between patients with compensated and uncompensated vestibular dysfunction with positive predictive values of 76% and 79%, respectively. Principal component analysis was used to examine the factorial structure of the questionnaire. (2) Material and methods: This observational study included 343 dizzy patients with one of the following clinical conditions: Vestibular impairment noncompensated or compensated, central or bilateral, benign paroxysmal positional vertigo (BPPV), migraine and psychogenic dizziness. The aim of this study was to identify the subscales of DHI that may correlate with some vestibular or nonvestibular dysfunctions. The Dizziness Handicap Inventory (DHI) is widely used in the assessment of dizziness-related disability, but its clinical efficacy needs further expansion. Results did not support the original subscale structure of the DHI.(1) Objectives: The evaluation of dizzy patients is difficult due to nonspecific symptoms that require a multi-specialist approach. CONCLUSION: The DHI-L has shown good reliability and validity. The second factor comprised of items that pertained to postural instability. The first factor indicated disability in daily activities and psychological effect of handicap. Our proposed two-factor model explained 44.5% of the variance. The ICC was excellent for the total score and its subscales. The correlations between DHI and SF-36 were high to weak. CI-TCs for DHI-L total scale ranged from 0.33 to 0.67. RESULTS: The Cronbach's alpha coefficient was very high (0.91). Finally, the factor structure of the DHI was assessed by principal component analysis (PCA). Concurrent validation was performed using Pearson correlation between the total score and subscales of DHI-L and the eight scales of Short Form-36 Health Survey (SF-36). After a week, 65 of the recruited patients were again asked to fill out Dizziness Handicap Inventory (DHI)-L to ascertain test-retest reliability (intraclass correlation, ICC). The internal consistency was measured by Cronbach's alpha coefficient and corrected item-total correlations (CI-TCs). A total of 108 patients (75.9% women), mean age 51.9 years, with peripheral or central dizziness and vertigo participated in our cross-sectional study. MATERIALS AND METHODS: A standard protocol of translation was followed for psychometric instruments. OBJECTIVES: This study aimed to validate the Lithuanian version of the Dizziness Handicap Inventory (DHI-L), investigate its reliability, and perform factor analysis. 3ĭizziness classification Disability evaluation Ankara : Mediterranean Society of Otology and Audiology, 2019, vil. Journal of International Advanced Otology. Validation and factor analysis of the Lithuanian version of the dizziness handicap inventory Valančius, Domantas Ulytė, Agnė Masiliūnas, Rytis Paškonienė, Austė Ulozienė, Ingrida Kaski, Diego Vaicekauskienė, Loreta Lesinskas, Eugenijus Jatužis, Dalius Ryliškienė, Kristina Straipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)
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