The Prevalence and Impact of Migraine Headache in Bipolar Disorder: Results From the Canadian Community Health Survey
Bibliographic record
Abstract
OBJECTIVE: To report on the prevalence of comorbid migraine in bipolar disorder and the implications for bipolar age of onset, psychiatric comorbidity, illness course, functional outcome, and medical service utilization. BACKGROUND: Migraine comorbidity is differentially reported in bipolar versus unipolar depressed clinical samples. The bipolar disorder-migraine association and its consequences have been infrequently reported in epidemiological studies. METHODS: Data for this analysis were derived from respondents (n = 36 984) to the Canadian Community Health Survey - Mental Health and Well-Being (CCHS). Respondents reporting a lifetime WHO-CIDI-defined manic episode and physician-diagnosed migraine (lifetime) were compared to respondents without migraine on sociodemography, course of illness, and medical service utilization indices. RESULTS: An estimated 2.4% of the sample met criteria for bipolar disorder. Persons with bipolar disorder had a relatively higher prevalence of migraine versus the general population (24.8% vs. 10.3%; P < .05). The sex-specific prevalence of comorbid migraine in bipolar disorder was 14.9% for males and 34.7% for females. Bipolar males with comorbid migraine were more likely to live in a low income household (P < .05); receive welfare and social assistance (P < .05); report an earlier age of onset of bipolar disorder (P < .05); and have a higher lifetime prevalence of comorbid anxiety disorders (P < .05). Bipolar males with comorbid migraine were also more likely to utilize primary (P < .05) and mental health care services (P < .05) . Bipolar females with comorbid migraine had more comorbid medical disorders (P < .05) and were more likely to require help with personal or instrumental activities of daily living when compared to bipolar females without migraine. CONCLUSION: Bipolar disorder with comorbid migraine is prevalent and associated with greater dysfunction and medical service utilization, notable in males. Opportunistic screening and surveillance for bipolar and comorbid migraine is warranted.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".