Migraine headaches and mood/anxiety disorders in the ELSA Brazil
Abstract
OBJECTIVE: To describe the relationship between mood/anxiety disorders and migraine headaches emphasizing the frequency of episodes based in a cross-sectional analysis in the Brazilian Longitudinal Study of Adult Health.
BACKGROUND: It has been suggested that frequency of migraine headaches can be directly associated with the presence of psychiatric disorders.
METHODS: Migraine headaches (International Headache Society criteria) was classified as <1×/month, 1×/month-1×/week, 2-6×/week, and daily. Psychiatric disorders using the Clinical Interview Schedule - Revised were classified in 6 categories: common mental (CMD), major depressive (MDD), generalized anxiety (GAD), panic, obsessive-compulsive (OCD), and mixed anxiety and depressive (MADD) disorders. We performed multivariate logistic models adjusted for age, race, education, marital status, income, and use of selective serotonin reuptake inhibitors.
RESULTS: In our sample, 1261 presented definite migraine and 10,531 without migraine headaches (reference). Our main result was an increase in the strength of association between migraine and MDD as frequency of migraine increased for all sample: odds ratio of 2.14 (95% confidence interval [CI] 1.33-3.43) for <1 episode of migraine/month to 6.94 (95% CI 4.20-11.49) for daily headaches for all sample. Significant associations with migraine were also found for GAD, OCD, MADD, and CMD for total sample: MDD, GAD, OCD, MADD, and CMD for women, and MADD and CMD for men. Among men…
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.
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.