Migraine, Migraine Disability, Trauma, and Discrimination in Sexual and Gender Minority Individuals
Abstract
BACKGROUND AND OBJECTIVES: This study sought to describe migrainous headache frequency and severity and to examine the relationship between trauma, discrimination, and migraine-associated disability in a sample of sexual and/or gender minority (SGM) adults.
METHODS: We performed a cross-sectional study of SGM people in The Population Research in Identity and Disparities for Equality Study from August to October 2018. The primary exposure was any trauma or discrimination, regardless of attribution. The primary outcome was moderate-severe migraine disability, as defined by a Migraine Disability Assessment (MIDAS) Questionnaire score of ≥11. We performed descriptive analysis comparing respondents with any migrainous headache with those without. Multivariable logistic regression examined the association between trauma/discrimination and migraine disability, controlling first for sociodemographic and clinical factors and then for psychiatric comorbidities.
RESULTS: Of the 3,325 total respondents, 1,126 (33.9%) screened positive for migrainous headache by ID-Migraine criteria. Most people with migraine self-reported moderate (n = 768, 68.2%) or severe (n = 253, 22.5%) intensity. The median MIDAS score was 11 (interquartile range 5-25). Most respondents with migraine (n = 1,055, 93.7%) reported a history of trauma or discrimination. In unadjusted analysis, exposure to both trauma and discrimination was associated with higher odds of moderate-severe disability (OR 1.76, 95% CI…
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: 1,055 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.