Vertigo disability evaluation dizziness surveys and questionnaires. Using the screening version of DHI is better, because it is highly correlated with the original form and has fewer questions (10 questions). Implications for rehabilitation Factor structure of the DHI is not consistent enough for comparison of the international studies. Using DHI screening form instead of original 25 questions is more convenient, because it is highly correlated with the original one and has fewer questions. Therefore, total score should be used rather than the scores of the subscales. It is not advised to use subscale scores for comparison especially in international level. This study indicated that the factor structure of the scale was not consistent. There is high correlation between the original and screening and short forms of DHI. The factors proposed in different studies are not in harmony with each other. Pearson correlation analysis was performed.įactor analysis showed that two factor solutions are more prominent in our data. The suitability of the data set for factor analysis and factor structure was analyzed with Kaiser-Meyer-Olkin (KMO) coefficient, Bartlett's Sphericity Test, and Varimax method. Original three subscales, screening form of DHI and short form of DHI were evaluated. The aim of the study was re-analyze the consistency of subscales and correlation between original and different short forms. Results did not support the original subscale structure of the DHI.Dizziness Handicap Inventory (DHI) is one of the most frequently used surveys for vertigo. 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. A secondary aim was to determine if impairments were evident irrespective of participant perceived absence of symptoms. The ICC was excellent for the total score and its subscales. Abstract Objective To identify whether adults 4 weeks to 6 months post mild traumatic brain injury (mTBI) have sensorimotor impairments compared with controls without mTBI. The correlations between DHI and SF-36 were high to weak. Among the most widely used are the MIDAS scale for adult headaches,5 adapted in paediatrics as ped-MIDAS,6 the KIDSCREEN2 questionnaire, which has been adapted. 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 One of the most commonly used 'standardized questionnaires' is the Dizziness Handicap Inventory (DHI). Ankara : Mediterranean Society of Otology and Audiology, 2019, vil. Most practices that evaluate substantial numbers of dizzy patients use questionnaires to quantify symptoms. 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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