Comorbidity of Migraine and Psychiatric Disorders—A National Population‐Based Study
Bibliographic record
Abstract
BACKGROUND: Migraine is common, with an estimated lifetime prevalence of 7-17%. Population-based studies have reported an association between various psychiatric conditions and migraine. This is a population-based study exploring the association between migraine and psychiatric disorders in a large cohort and assessing various health-related outcomes. OBJECTIVE: (1) Determine the prevalence of various psychiatric conditions in association with migraine; (2) describe the patterns of association of these comorbidities with a variety of health-related outcomes. METHODS: Data from the 2002 Canadian Community Health Survey were used. This is a national health survey which included administration of the World Mental Health Composite International Diagnostic Interview to a sample of 36,984 subjects. Health-related outcomes included 2-week disability, restriction of activities, quality-of-life, and mental health care utilization. RESULTS: The prevalence of physician-diagnosed migraine (n=36,984) was 15.2% for females and 6.1% for males. Migraine was most common in those between ages 25 and 44 years and in those of lower income. Migraine was associated with major depressive disorder, bipolar disorder, panic disorder, and social phobia, all occurring more than twice as often in those with migraines compared with those without. Migraine was not associated with drug, alcohol, or substance dependence. The higher prevalence of psychiatric disorders in migraineurs was not related to sociodemographic variables. Psychiatric disorders were less common in those over 65 years, in those who were in a relationship, and in those of higher income whether migraine was present or not. Health-related outcomes were worst in those with both migraines and a psychiatric disorder and intermediate in those with either condition alone. CONCLUSION: Migraine is associated with major depressive disorder, bipolar disorder, panic disorder, and social phobia. Migraine in association with various mental health disorders results in poorer health-related outcomes compared with migraine or a psychiatric condition alone. Understanding the psychiatric correlates of migraine is important in order to adequately manage this patient population and to guide public health policies regarding health services utilization and health-care costs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".