ArticleScientific reports2021
Classifying migraine subtypes and their characteristics by latent class analysis using data of a nation-wide population-based study.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- The impact of caffeine consumption on migraine: a systematic review.BMC neurology · 2026Pooled it
- Investigating the Patent Foramen Ovale-Migraine Link in Southern Saudi Arabia.Neurosciences (Riyadh, Saudi Arabia) · 2026Observational
- Migraine Genetic Susceptibility Does Not Strongly Influence Migraine Characteristics and Outcomes in a Treated, Real-World, Community Cohort.Journal of clinical medicine · 2025Article
- An Integrative Migraine Polygenic Risk Score Is Associated with Age at Onset But Not Chronification.Journal of clinical medicine · 2024Article
- Photophobia is associated with lower sleep quality in individuals with migraine: results from the American Registry for Migraine Research (ARMR).The journal of headache and pain · 2024Observational
- A population-health approach to characterizing migraine by comorbidity: Results from the Mindfulness and Migraine Cohort Study.Cephalalgia : an international journal of headache · 2022Article
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
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 frequency of mild headache intensity but the lowest overall headache frequency. Meanwhile, "photophobia and phonophobia" involved 33.6% (42/125) of the participants, who showed the highest frequency of photophobia and phonophobia. Finally, "severe and high frequency" included 14.4% (18/125) of the participants, and they presented the highest frequency of severe headache intensity and highest headache frequency. In conclusion, LCA is useful for analyzing the heterogeneity of migraine symptoms and identifying migraine subtypes. This approach may improve our understanding of the clinical characterization of migraine.
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Registered trials
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