Classifying migraine subtypes and their characteristics by latent class analysis using data of a nation-wide population-based study.

ABSTRACT: Migraine neither presents with a definitive single symptom nor has a distinct biomarker; thus, its diagnosis is based on combinations of typical symptoms. We aimed to identify natural subgroups of migraine based on symptoms listed in the diagnostic criteria of the third edition of the International Classification of Headache Disorders. Latent class analysis (LCA) was applied to the data of the Korean Sleep-Headache Study, a nationwide population-based survey. We selected a three-class model based on Akaike and Bayesian information criteria and characterized the three identified classes as "mild and low frequency," "photophobia and phonophobia," and "severe and high frequency." In total, 52.0% (65/125) of the participants were classified as "mild and low frequency," showing the highest freq

SUBMITTER: Lee W 

PROVIDER: S-EPMC8566532 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature