Prevalence, Clinical Correlates, and Functional Implications of Vestibular Symptoms in Patients With Migraine
Abstract
BACKGROUND AND OBJECTIVES: Vestibular symptoms (VS) in migraine are underinvestigated, and vestibular migraine (VM) remains underdiagnosed. This study aimed to determine the prevalence, clinical correlates, and functional impact of VS and VM among migraine patients.
METHODS: This cross-sectional study recruited newly diagnosed migraine patients from a tertiary medical center and a community hospital between August 2020 and October 2023. Questionnaire-based interviews were carried out to collect headache characteristics, Migraine Disability Assessment (MIDAS), Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety and Depression Scale (HADS), including anxiety (HADS-A) and depression (HADS-D) subscales, and VS, as defined by the International Classification of Vestibular Disorders. The diagnosis of VM was based on the International Classification of Headache Disorders, 3rd edition.
RESULTS: In total, 2,801 patients with newly diagnosed migraine (2,147F/654M, mean age 37.8 ± 12.5 years) were recruited, including 1,916 (1,548F/368M, mean age 36.9 ± 12.3 years) with VS (68.4%), and external and internal vertigo was the most common. Overall, 426 (347F/79M, mean age 36.6 ± 12.6 years) fulfilled the criteria for VM (15.2%). When compared with patients without VS (group I), those with non-VM VS (group II) or VM (group III) had greater disability associated with headache (MIDAS: 23.6 ± 36.4 vs 33.8 ± 45.8 vs 40.9 ± 48.9), poorer sleep (PSQI: 8.6 ± 3.9 vs 10.1 ± 4.0 vs 10.6 ± 4.0),…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 2,801 participants or records.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.